Merchant Silicon

June 1, 2015

by Matt Conran Blog

Merchant Silicon

In the ever-evolving landscape of technology, innovation continues to shape how we live, work, and connect. One such groundbreaking development that has caught the attention of experts and enthusiasts alike is merchant silicon. In this blog post, we will explore merchant silicon's remarkable capabilities and its far-reaching impact across various industries.

Merchant silicon refers to off-the-shelf silicon chips designed and manufactured by third-party companies. These versatile chips can be used in various applications and offer cost-effective solutions for businesses.

Flexibility and Customizability: Merchant Silicon provides network equipment manufacturers with the flexibility to choose from a wide range of components and features, tailoring their solutions to meet specific customer needs. This flexibility enables faster time-to-market and promotes innovation in the networking industry.

Cost-Effectiveness: By leveraging off-the-shelf components, Merchant Silicon significantly reduces the cost of developing networking equipment. This cost advantage makes high-performance networking solutions more accessible, driving competition and fostering technological advancements.

Enhanced Network Performance and Scalability: Merchant Silicon is designed to deliver high-performance networking capabilities, offering increased bandwidth and throughput. This enables faster data transfer rates, reduced latency, and improved overall network performance.

Advanced Packet Processing: Merchant Silicon chips incorporate advanced packet processing technologies, such as deep packet inspection and traffic prioritization. These features enhance network efficiency, allowing for more intelligent routing and improved Quality of Service (QoS).

Data Centers: Merchant Silicon has found extensive use in data centers, where scalability, performance, and cost-effectiveness are paramount. By leveraging the power of Merchant Silicon, data centers can handle the ever-increasing demands of modern applications and services, ensuring seamless connectivity and efficient data processing.

Enterprise Networking: In enterprise networking, Merchant Silicon enables organizations to build robust and scalable networks. From small businesses to large enterprises, the flexibility and cost-effectiveness of Merchant Silicon empower organizations to meet their networking requirements without compromising on performance or security.

Conclusion: Merchant Silicon has emerged as a game-changer in the world of network infrastructure. Its flexibility, cost-effectiveness, and enhanced performance make it an attractive choice for network equipment manufacturers and organizations alike. As technology continues to advance, we can expect Merchant Silicon to play an even more significant role in shaping the future of networking.

Matt Conran

Highlights: Merchant Silicon

Understanding Merchant Silicon

Merchant silicon refers to the use of off-the-shelf, standardized semiconductor chips in networking equipment. Unlike traditional networking solutions that rely on proprietary chips, merchant silicon allows network equipment manufacturers to leverage readily available chipsets from third-party vendors. This opens up a world of possibilities, empowering companies to design and develop networking solutions that are highly customizable and scalable.

Benefits of Merchant Silicon

Flexibility and Customization: Merchant silicon enables network equipment manufacturers to tailor their products to specific customer requirements. With the ability to choose from a range of chipsets, vendors can optimize their networking solutions for different use cases and applications. This flexibility allows for greater innovation and adaptability in the ever-changing networking landscape.

Cost-Efficiency: By utilizing standardized chips, merchant silicon offers significant cost advantages over traditional networking solutions. The economies of scale associated with mass-produced chipsets result in lower production costs, ultimately driving down the overall price of networking equipment. This cost-efficiency has democratized access to high-performance networking solutions, making them more affordable and accessible to businesses of all sizes.

Performance and Scalability: Merchant silicon chipsets are designed to deliver exceptional performance, offering high-speed data processing and low-latency communication. This level of performance is crucial in today’s data-intensive world, where networks are constantly handling massive amounts of information. Additionally, the scalability of merchant silicon allows networks to easily expand and accommodate growing demands without compromising performance.

The emergence of merchant silicon has had a profound impact on the networking industry. It has disrupted the traditional model of vertically-integrated networking vendors and opened up opportunities for new players to enter the market. With the ability to leverage merchant silicon, smaller companies can now compete with established networking giants, fostering innovation and driving competition.

Silicon chips, specifically designed for networking devices, play a pivotal role in functioning routers, switches, and other network equipment. One type of silicon that has gained significant attention and relevance in recent years is Merchant Silicon.

Merchant Silicon refers to off-the-shelf networking chips produced by third-party vendors. Unlike custom silicon solutions developed in-house by network equipment manufacturers, Merchant Silicon offers a standardized, cost-effective alternative. These chips are designed to meet the requirements of various networking applications and are readily available for integration into networking devices.

Let’s begin by defining our terms:

Custom silicon

The term custom silicon describes chips, usually ASICs (Application Specific Integrated Circuits), that are custom designed and typically built by the switch company that sells them. When describing such chips, I might use the term in-house. Cisco Nexus 7000 switches, for instance, use proprietary ASICs designed by Cisco.

Merchant silicon

The term merchant silicon describes chips, usually ASICs, designed and made by a company other than the one that sells the switches they are used in. Suppose I could buy these chips from a retail store if such switches use off-the-shelf ASICs. I’ve looked, and Wal-Mart doesn’t carry them. Broadcom’s Trident+ ASIC, for example, is used in Arista’s 7050S-64 switches.

Merchant Silicon and SDN

Another potential benefit of merchant silicon is the future of software-defined networks (SDN). SDN resembles a cluster of switches controlled by a single software brain that runs outside the physical switches. As a result, switches become little more than ASICs that receive instructions from a master controller. A commoditized operating system and hardware would make it easier to add any vendor’s switch to the master controller in such a situation.

A silicon-based switch based on merchant silicon lends itself to this design paradigm. In contrast, a silicon-based switch based on a custom silicon design would likely only support that switch’s vendor’s master controller.

Bare-Metal Switching

Commodity switches are used in both white-box and bare-metal switching. In this way, users can purchase hardware from one vendor, purchase an operating system from another, and then load features and applications from other vendors or open-source communities.

As a result of the OpenFlow hype, white-box switching was a hot topic since it commoditized hardware and centralized the network control in an OpenFlow controller (now known as an SDN controller). Google announced in 2013 that it built and controlled its switches with OpenFlow! It was a topic of much discussion then, but not every user is Google, so not every user will build their hardware and software.

Meanwhile, a few companies emerged solely focused on providing white-box switching solutions. These companies include Big Switch Networks, Cumulus Networks, and Pica8 (now owned by NVIDIA). They also needed hardware for their software to provide an end-to-end solution. Originally, original design manufacturers (ODMs) supplied white-box hardware platforms like Quanta Networks, Supermicro, Alpha Networks, and Accton Technology Corporation. You probably haven’t heard of those vendors, even if you’ve worked in the network industry.

The industry shifted from calling this trend white-box to bare-metal only after Cumulus and Big Switch announced partnerships with HP and Dell Technologies. Name-brand vendors now support third-party operating systems from Big Switch and Cumulus on their hardware platforms. You create bare-metal switches by combining switches from ODMs with NOSs from third parties, including the ones mentioned above. Many of the same switches from ODMs are now also available from traditional network vendors, as they use merchant silicon ASICs.

Landscape Changes

Some data center vendors offer a “Debian” based operating system for network equipment. Their philosophy is that engineers should manage switches just like they manage servers with the ability to use existing server administration tools. They want networking to work as a server application. For example, Cumulus has created the first full-featured Linux distribution for network hardware. It allows designers to break free from proprietary networking equipment and utilize the advantages of the SDN Data Center.

Issues with Traditional Networking

Cloud computing, distributed storage, and virtualization technologies are changing the operational landscape. Traditional networking concepts do not align with new requirements and continually act as blockers to business enablers. Decoupling hardware/software is required to keep pace with the innovation needed to meet the speeds and agility of cloud deployments and emerging technologies.

Merchant silicon is a term used to describe chips. Usually, ASICs (Application-Specific Integrated Circuits) are developed by an entity, not the company selling the switches. Then, we have custom silicon, which is the opposite of Merchant Silicon. Custom silicon is a term used to describe chips, usually ASICs, that are custom-designed and traditionally built by the company selling the switches in which they are used.

Benefits of Merchant Silicon:

1. Cost-Effectiveness: One of merchant silicon’s primary advantages is its cost-effectiveness. Since these chips are mass-produced, they are available at a lower cost than custom chips. This allows networking equipment manufacturers to deliver high-performance solutions at a more affordable price, making networking technology more accessible to a broader audience.

2. Flexibility and Innovation: Merchant silicon allows network equipment manufacturers to choose the best chipset. They can select chips from various vendors, offering different features and capabilities. This enables manufacturers to innovate and differentiate their products, creating a more diverse and competitive networking landscape.

3. Time-to-Market: Developing custom chips can be a time-consuming process. By leveraging merchant silicon, networking equipment manufacturers can significantly reduce their time-to-market, as they can quickly integrate pre-existing, tested chips into their products. This allows them to bring new networking solutions to market faster, meeting the ever-increasing demands of the industry.

Impact on the Networking Industry:

Merchant silicon has profoundly impacted the networking industry, transforming how networks are built and operated. Here are some key areas where merchant silicon has made a difference:

1. Performance and Scalability: With the advancements in merchant silicon, networking equipment manufacturers can now deliver higher performance and scalability in their products. These chips offer greater processing power, faster data rates, and improved packet forwarding capabilities, enabling networks to handle more traffic and meet the growing demands of bandwidth-intensive applications.

2. Openness and Interoperability: Merchant silicon promotes openness and interoperability in networking. Since network equipment manufacturers are not tied to proprietary chipsets, they can build solutions that adhere to industry standards and work seamlessly with equipment from different vendors. This fosters a more open, collaborative networking ecosystem where interoperability and compatibility are prioritized.

3. Innovation and Differentiation: By leveraging merchant silicon, networking equipment manufacturers can focus on developing innovative software solutions and features that differentiate their products in the market. This has led to new technologies, such as software-defined networking (SDN) and network function virtualization (NFV), revolutionizing how networks are designed, managed, and optimized.

Before you proceed, you may find the following helpful:

Merchant Silicon

Disaggregation Model

Disaggregation is the next logical evolution in data center topologies. Cumulus does not reinvent all the wheels; they believe that routing and bridging work well, with no reason to change them. Instead, they use existing protocols to build on the original networking concept base. The technologies they offer are based on well-designed current feature sets. Their O/S enables dis-aggregation of switching design to the server hardware/software disaggregation model.

Disaggregation decouples hardware/software on individual network elements. Modern networking equipment is proprietary today, making it expensive and complicated to manage. Disaggregation allows designers to break free from vertically integrated networking gear. It also allows you to separate the procurement decisions around hardware and software.

Data center topology types and merchant silicon

Previously, we needed proprietary hardware to provide networking functionality. Now, the hardware allows many of those functions in “merchant silicon.” In the last ten years, we have seen a massive increase in the production of merchant silicon. Merchant silicon is a term used to describe the use of “off-the-shelf” chip components to create a network product enabling open networking. Currently, three major players for 10GbE and 40GbE switch ASIC are Broadcom, Fulcrum, and Fujitsu.

In addition, cumulus supports the Broadcom Trident II ASIC switch silicon, also used in the Cisco Nexus 9000 series. Merchant silicon’s price/performance ratio is far better than proprietary ASIC.

Routing isn’t broken – Simple building blocks.

To disaggregate networking, we must first simplify it. Networking is complicated. Sometimes, less is more. Building robust ecosystems using simple building blocks with existing layer 2 and layer 3 protocols is possible. Internet Protocol (IP) is the underlying base technology and the basis for every large data center. MPLS is an attractive, helpful alternative, but IP is a mature building block today. IP is based on a standard technique, unlike Multichassis Link Aggregation (MLAG), which is vendor-specific.

Multichassis Link Aggregation (MLAG) implementation

Each vendor has various MLAG variations; some operate with unified and separate control planes. MLAG offers suitable control planes: Juniper with Virtual Chassis, HP with Intelligent Resilient Framework (IRF), Cisco Virtual Switching System, and cross-stack EtherChannel. MLAG, with separate control planes, includes Cisco Virtual Port-Channel (vPC) and Arista MLAG.

With all the vendors out there, we have no standard for MLAG. Where specific VLANs can be isolated to particular ToRs, Layer 3 is a preferred alternative. Cumulus Multichassis Link Aggregation (MLAG) implementation is an MLAG daemon written in python.

The specific implementation of how the MLAG gets translated to the hardware is ASIC independent, so in theory, you could run MLAG between two boxes that are not running the same chipset. Similar to other vendor MLAG implementations, it is limited to two spine switches. If you require anything to scale, move to IP. The beauty of IP is that you can do much stuff without relying on proprietary technologies.

Data center topology types: A design for simple failures

Everyone building networks at scale is building them as a loosely coupled system. People are not trying to over-engineer and build exact systems. High-performance clusters are excellent applications and must be made a certain way. A general-purpose cloud is not built that way. Operators build “generic” applications over “generic” infrastructure. Designing and engineering networks with simple building blocks leads to simpler designs with simple failures. Over-engineering networks experience complex failures that are time-consuming to troubleshoot. When things fail, they should fail.

Building blocks should be constructed with straightforward rules. Designers understand you can build extensive networks with simple rules and building blocks. For example, analyzing Spine Leaf architecture looks complicated. But in terms of the networking fabric, the Cumulus ecosystem is made of a straightforward building block – fixed form-factor switches. It makes failures very simple.

On the other hand, if the chassis base switch fails, you need to troubleshoot many aspects. Did the line card not connect to the backplane? Is the backplane failing? All these troubleshooting steps add complexity. With the disaggregated model, when networks fail, they fail in simple ways. Nobody wants to troubleshoot a network when it is down. Cumulus tries to keep the base infrastructure simple and not complement every tool and technology.

For example, if you use Layer 2, MLAG is your only topology. STP is simply a fail-stop mechanism and is not used as a high convergence mechanism. Rapid Spanning Tree Protocol (RSTP) and Bridge Protocol Data Units (BPDU) are all you need; you can build straightforward networks with these.

Virtual router redundancy

First Hop Redundancy Protocol (FHRP) now becomes trivial. Cumulus uses Anycast Virtual IP/MAC, eliminating complex FHRP protocols. You do not need a protocol in your MLAG topology to keep your network running. They support a variation of the Virtual Router Redundancy Protocol (VRRP) known as Virtual Router Redundancy (VRR). It’s like VRRP without the protocol and supports an active-active setup. It allows hosts to communicate with redundant routers without dynamic or router protocols.

Merchant silicon has emerged as a driving force in the networking industry, offering cost-effectiveness, flexibility, and faster time-to-market. This technology has enabled networking equipment manufacturers to deliver high-performance solutions, promote interoperability, and drive innovation. As the demand for faster, more reliable networks continues to grow, merchant silicon will play a pivotal role in shaping the future of networking technology.

Summary: Merchant Silicon

Merchant Silicon has emerged as a game-changer in the world of network infrastructure. This revolutionary technology is transforming the way data centers and networking systems operate, offering unprecedented flexibility, scalability, and cost-efficiency. In this blog post, we will dive deep into the concept of Merchant Silicon, exploring its origins, benefits, and impact on modern networks.

Understanding Merchant Silicon

Merchant Silicon refers to using off-the-shelf, commercially available silicon chips in networking devices instead of proprietary, custom-built chips. These off-the-shelf chips are developed and manufactured by third-party vendors, providing network equipment manufacturers (NEMs) with a cost-effective and highly versatile alternative to in-house chip development. By leveraging Merchant Silicon, NEMs can focus on software innovation and system integration, streamlining product development cycles and reducing time-to-market.

Key Benefits of Merchant Silicon

Enhanced Flexibility: Merchant Silicon allows network equipment manufacturers to choose from a wide range of silicon chip options, providing the flexibility to select the most suitable chips for their specific requirements. This flexibility enables rapid customization and optimization of networking devices, catering to diverse customer needs and market demands.

Scalability and Performance: Merchant Silicon offers scalability that was previously unimaginable. By incorporating the latest advancements in chip technology from multiple vendors, networking devices can deliver superior performance, higher bandwidth, and lower latency. This scalability ensures that networks can adapt to evolving demands and handle increasing data traffic effectively.

Cost Efficiency: Using off-the-shelf chips, NEMs can significantly reduce manufacturing costs as the chip design and fabrication burden is shifted to specialized vendors. This cost advantage also extends to customers, making network infrastructure more affordable and accessible. The competitive market for Merchant Silicon also drives innovation and price competition among chip vendors, resulting in further cost savings.

Applications and Industry Impact

Data Centers: Merchant Silicon has revolutionized data center networks by enabling the development of high-performance, software-defined networking (SDN) solutions. These solutions offer unparalleled agility, scalability, and programmability, allowing data centers to manage the increasing complexity of modern workloads and applications efficiently.

Telecommunications: The telecommunications industry has embraced Merchant Silicon to accelerate the deployment of next-generation networks such as 5G. By leveraging the power of off-the-shelf chips, telecommunication companies can rapidly upgrade their infrastructure, deliver faster and more reliable connectivity, and support emerging technologies like edge computing and the Internet of Things (IoT).

Challenges and Future Outlook

Integration and Compatibility: While Merchant Silicon offers numerous benefits, integrating third-party chips into existing network architectures can present compatibility challenges. Close collaboration between chip vendors, NEMs, and software developers ensures seamless integration and optimal performance.

Continuous Innovation: As technology advances, chip vendors must keep pace with the networking industry’s evolving needs. Merchant Silicon’s future lies in the continuous development of cutting-edge chip designs that push the boundaries of performance, power efficiency, and integration capabilities.

Conclusion

In conclusion, Merchant Silicon has ushered in a new era of network infrastructure, empowering NEMs to build highly flexible, scalable, and cost-effective solutions. By leveraging off-the-shelf chips, businesses can unleash their networks’ true potential, adapting to changing demands and embracing future technologies. As chip technology continues to evolve, Merchant Silicon is poised to play a pivotal role in shaping the future of networking.

Data Center Topologies

August 14, 2014

by Matt Conran Blog

Data Center Topology

In the world of technology, data centers play a crucial role in storing, managing, and processing vast amounts of digital information. However, behind the scenes, a complex infrastructure known as data center topology enables seamless data flow and optimal performance. In this blog post, we will delve into the intricacies of data center topology, its different types, and how it impacts the efficiency and reliability of data centers.

Data center topology refers to a data center's physical and logical layout. It encompasses the arrangement and interconnection of various components like servers, storage devices, networking equipment, and power sources. A well-designed topology ensures high availability, scalability, and fault tolerance while minimizing latency and downtime. As technology advances, so does the landscape of data center topologies. Here are a few emerging trends worth exploring:

Leaf-Spine Architecture: This modern approach replaces the traditional three-tier architecture with a leaf-spine model. It offers high bandwidth, low latency, and improved scalability, making it ideal for cloud-based applications and data-intensive workloads.

Software-Defined Networking (SDN): SDN introduces a new level of flexibility and programmability to data center topologies. By separating the control plane from the data plane, it enables centralized management, automated provisioning, and dynamic traffic optimization.

The chosen data center topology has a significant impact on the overall performance and reliability of an organization's IT infrastructure. A well-designed topology can optimize data flow, minimize latency, and prevent bottlenecks. By considering factors such as fault tolerance, scalability, and network traffic patterns, organizations can tailor their topology to meet their specific needs.

Matt Conran

Highlights: Data Center Topology

A data center consists of the following core infrastructure components:

Network infrastructure: Connects physical and virtual servers, data center services, storage, and external connections to end users.
Storage Infrastructure: Modern data centers use storage infrastructure to power their operations. Storage systems hold this valuable commodity.
A data center’s computing infrastructure is its applications. The computing infrastructure comprises servers that provide processors, memory, local storage, and application network connectivity. In the last 65 years, computing infrastructure has undergone three major waves:
- In the first wave of replacements of proprietary mainframes, x86-based servers were installed on-premises and managed by internal IT teams.
- In the second wave, application infrastructure was widely virtualized, improving resource utilization and workload mobility across physical infrastructure pools.
- The third wave finds us in the present, where we see the move to the cloud, hybrid cloud, and cloud-native (that is, applications born in the cloud).

Common Types of Data Center Topologies:

a) Bus Topology: In this traditional topology, all devices are connected linearly to a common backbone, resembling a bus. While it is simple and cost-effective, a single point of failure can disrupt the entire network.

b) Star Topology: Each device is connected directly to a central switch or hub in a star topology. This design offers centralized control and easy troubleshooting, but it can be expensive due to the requirement of additional cabling.

c) Mesh Topology: A mesh topology provides redundant connections between devices, forming a network where every device is connected to every other device. This design ensures high fault tolerance and scalability but can be complex and costly.

d) Hybrid Topology: As the name suggests, a hybrid topology combines elements of different topologies to meet specific requirements. It offers flexibility and allows organizations to optimize their infrastructure based on their unique needs.

Considerations in Data Center Topology Design:

a) Redundancy: Redundancy is essential to ensure continuous operation even during component failures. By implementing redundant paths, power sources, and network links, data centers can minimize the risk of downtime and data loss.

b) Scalability: As the data center’s requirements grow, the topology should be able to accommodate additional devices and increased data traffic. Scalability can be achieved through modular designs, virtualization, and flexible network architectures.

c) Performance and Latency: The distance between devices, the quality of network connections, and the efficiency of routing protocols significantly impact data center performance and latency. Optimal topology design considers these factors to minimize delays and ensure smooth data transmission.

Google Cloud Data Centers

### What is Google Network Connectivity Center?

Google NCC is a centralized platform that provides a holistic view of your network infrastructure. It integrates with Google Cloud, enabling businesses to manage their global networks with ease. The platform is built to support hybrid and multi-cloud environments, ensuring that your data center operations are streamlined and efficient.

### Key Features and Benefits

#### Unified Network Management

One of the standout features of Google NCC is its ability to consolidate various network management tasks into a single interface. This means less time spent juggling multiple tools and more time focusing on core business activities.

#### Enhanced Security

Security is a critical concern for any organization. Google NCC incorporates robust security measures, including end-to-end encryption and advanced threat detection, to safeguard your network against potential risks.

#### Scalability and Flexibility

As your business grows, so does your need for a scalable network solution. Google NCC offers unparalleled scalability, allowing you to expand your network infrastructure effortlessly. Its flexibility ensures that it can adapt to the ever-changing demands of your business.

### Integrating with Data Centers

Google NCC is designed to seamlessly integrate with your existing data centers. This integration ensures that you can manage your on-premises and cloud-based resources from a single platform. The result is a more cohesive and efficient network management experience.

### Real-World Applications

#### Enterprise Connectivity

For large enterprises, managing a sprawling network can be a daunting task. Google NCC simplifies this by providing a unified platform that can handle complex network topologies. This makes it easier to connect multiple branch offices, remote workers, and cloud services.

#### Optimized Performance

Google NCC leverages advanced algorithms to optimize network performance. This ensures that your applications run smoothly and that data is transmitted efficiently. Whether you’re running a global e-commerce site or a high-demand application, NCC has you covered.

Impact of Data Center Topology:

Efficient data center topology directly influences the entire infrastructure’s reliability, availability, and performance. A well-designed topology reduces single points of failure, enables load balancing, enhances fault tolerance, and optimizes data flow. It directly impacts the user experience, especially for cloud-based services, where data centers simultaneously cater to many users.

Knowledge Check: Cisco ACI Building Blocks

Before Cisco ACI 4.1, the Cisco ACI fabric supported only a two-tier (leaf-and-spine switch) topology in which leaf switches are connected to spine switches without interconnecting them. Starting with Cisco ACI 4.1, the Cisco ACI fabric allows multitier (three-tier) fabrics and two tiers of leaf switches, allowing vertical expansion. As a result, a traditional three-tier aggregation access architecture can be migrated, which is still required for many enterprise networks.

In some situations, building a full-mesh two-tier fabric is not ideal due to the high cost of fiber cables and the limitations of cable distances. A spine-leaf topology is more efficient in these cases, and Cisco ACI continues to automate and improve visibility.

Choosing a topology

Data centers are the backbone of many businesses, providing the necessary infrastructure to store and manage data and access applications and services. As such, it is essential to understand the different types of available data center topologies. When choosing a topology for a data center, the organization’s specific needs and requirements must be considered. Each topology offers its advantages and disadvantages, so it is crucial to understand the pros and cons of each before making a decision.

A data center topology refers to the physical layout and interconnection of network devices within a data center. It determines how servers, switches, routers, and other networking equipment are connected, ensuring efficient and reliable data transmission. Topologies are based on scalability, fault tolerance, performance, and cost.

Scalability of the topology

Additionally, it is essential to consider the topology’s scalability, as a data center may need to accommodate future growth. By understanding the different topologies and their respective strengths and weaknesses, organizations can make the best decision for their data centers. For example, in a spine-and-leaf architecture, traffic traveling from one server to another always crosses the same number of devices (unless both servers are located on the same leaf). Payloads need only hop to a spine switch and another leaf switch to reach their destination, thus reducing latency.

Data Center Topology Types

Centralized Model

Smaller data centers (less than 5,000 square feet) may benefit from the centralized model. It is shown that there are separate local area networks (LANs) and storage area networks (SANs), with home-run cables going to each server cabinet and zone. Each server is effectively connected back to the core switches in the main distribution area. As a result, port switches can be utilized more efficiently, and components can be managed and added more quickly. The centralized topology works well for smaller data centers but does not scale up well, making expansion difficult. Many cable runs in larger data centers cause cable pathways and cabinets congestion and increase costs. Zoned or top-of-rack topologies may be used in large data centers for LAN traffic, but centralized architectures may be used for SAN traffic. In particular, port utilization is essential when SAN switch ports are expensive.

Zoned

Distributed switching resources make up a zoned topology. Typically, chassis-based switches support multiple server cabinets and can be distributed among end-of-row (EoR) and middle-of-row (MoR) locations. It is highly scalable, repeatable, and predictable and is recommended by the ANS/TIA-942 Data Center Standards. A zoned architecture provides the highest switch and port utilization level while minimizing cabling costs. Switching at the end of a row can be advantageous in certain situations. Two servers’ local area network (LAN) ports can be connected to the same end-of-row switch for low-latency port-to-port switching. Having to run cable back to the end-of-row switch is a potential disadvantage of end-of-row switching. It is possible for this cabling to exceed that required for a top-of-rack system if every server is connected to redundant switches.

Top-of-rack (ToR)

Switches are typically placed at the top of a server rack to provide top-of-rack (ToR) switching, as shown below. Using this topology is a good option for dense one-rack-unit (1RU) server environments. For redundancy, both switches are connected to all servers in the rack. There are uplinks to the next layer of switching from the top-of-rack switches. It simplifies cable management and minimizes cable containment requirements when cables are managed at the top of the rack. Using this approach, servers within the rack can quickly switch from port to port, and the uplink oversubscription is predictable. In top-of-rack designs, cabling is more efficiently utilized. In exchange, there is usually an increase in the cost of switches and a high cost for under-utilization of ports. There is also the possibility of overheating local area network (LAN) switch gear in server racks when top-of-rack switching is required.

Data Center Architecture Types

Mesh architecture

Mesh networks, known as “network fabrics” or leaf-spine, consist of meshed connections between leaf-and-spine switches. They are well suited for supporting universal “cloud services” because the mesh of network links enables any-to-any connectivity with predictable capacity and lower latency. The mesh network has multiple switching resources scattered throughout the data center, making it inherently redundant. Compared to huge, centralized switching platforms, these distributed network designs can be more cost-effective to deploy and scale.

Multi-Tier

Multi-tier architectures are commonly used in enterprise data centers. In this design, mainframes, blade servers, 1RU servers, and mainframes run the web, application, and database server tiers.

Mesh point of delivery

Mesh point of delivery (PoD) architectures have leaf switches interconnected within PoDs, and spine switches aggregated in a central main distribution area (MDA). This architecture also enables multiple PoDs to connect efficiently to a super-spine tier. Three-tier topologies that support east-west data flows will be able to support new cloud applications with low latency. Mesh PoD networks can provide a pool of low-latency computing and storage for these applications that can be added without disrupting the existing environment.

Super Spine architectecutre

Hyperscale organizations that deploy large-scale data center infrastructures or campus-style data centers often deploy super spine architecture. This type of architecture handles data passing east to west across data halls.

Cloud Data Centers

Understanding Network Tiers

Network tiers refer to the different levels of service quality and performance that a network can offer. They allow businesses to prioritize and allocate resources based on their specific needs. In the case of Google Cloud, there are two primary network tiers: Premium Tier and Standard Tier.

Section 2: Premium Tier: Unleashing the Power of Performance

The Premium Tier in Google Cloud offers businesses a top-of-the-line network experience. It leverages Google’s private global network, which is interconnected with major internet service providers (ISPs) worldwide. This interconnectivity ensures low latency, high bandwidth, and enhanced reliability for mission-critical workloads. By utilizing the Premium Tier, businesses can deliver an exceptional user experience, reduce downtime, and ensure optimal performance for latency-sensitive applications.

While the Premium Tier provides unparalleled performance, the Standard Tier offers a more cost-effective alternative for businesses with less latency-sensitive workloads. The Standard Tier leverages public internet transit, providing reliable and secure connectivity at a lower price point. This tier is ideal for applications that can tolerate slightly higher latency, such as batch processing, non-real-time analytics, or backup and recovery tasks. By utilizing the Standard Tier, businesses can achieve significant cost savings without sacrificing overall network reliability.

Understanding VPC Networking

VPC networking forms the foundation of your cloud infrastructure, allowing you to create and manage virtual networks with ease. In Google Cloud, VPC networks provide isolation and connectivity for your resources, ensuring secure communication and data transfer.

Google Cloud’s VPC networking offers a plethora of powerful features. These include custom IP ranges, subnets, firewall rules, routes, and VPN connectivity. Custom IP ranges enable you to define IP addresses for your virtual network, while subnets allow you to divide your network into smaller segments for better organization and control.

Understanding VPC Peering

VPC Peering is a networking arrangement that enables communication between two virtual private clouds (VPCs) in the same or different projects within Google Cloud. It establishes a direct, private connection between VPC networks, allowing them to communicate as if they were part of the same network.

VPC Peering offers numerous benefits to organizations leveraging Google Cloud. First, it enables seamless and secure communication between VPC networks, eliminating the need for complex VPN setups or publicly exposing resources. Second, it allows for low-latency data transfer, ensuring optimal performance for applications and services. Third, it simplifies network management, enabling centralized administration of connected VPCs.

Understanding Google Cloud HA VPN

Google Cloud HA VPN is a fully managed service that provides a secure and reliable connection between your on-premises network and Google Cloud resources. Establishing a VPN tunnel allows you to extend your network infrastructure into the cloud, enabling seamless data transfer and resource access.

– Enhanced Security: HA VPN utilizes robust encryption protocols and authentication mechanisms, ensuring the confidentiality and integrity of data transmitted over the network.

– High Availability: HA VPN is designed to provide uninterrupted connectivity with automatic failover and load balancing capabilities, ensuring minimal downtime and optimal performance.

– Scalability: With HA VPN, you can quickly scale your network connectivity based on your requirements, accommodating growing workloads and expanding businesses.

– Simplified Management: Google Cloud provides a user-friendly interface and comprehensive management tools for configuring, monitoring, and troubleshooting HA VPN connections.

Related: For pre-information, you may find the following post helpful

Data Center Topology

A data center is a physical facility that houses critical applications and data for an organization. It consists of a network of computing and storage resources that support shared applications and data delivery. The components of a data center are routers, switches, firewalls, storage systems, servers, and application delivery controllers.

Enterprise IT data centers support the following business applications and activities:

Email and file sharing
Productivity applications
Customer relationship management (CRM)
Enterprise resource planning (ERP) and databases
Big data, artificial intelligence, and machine learning
Virtual desktops, communications, and collaboration services

A data center consists of the following core infrastructure components:

Network infrastructure: Connects physical and virtual servers, data center services, storage, and external connections to end users.
Storage Infrastructure: Modern data centers use storage infrastructure to power their operations. Storage systems hold this valuable commodity.
A data center’s computing infrastructure is its applications. The computing infrastructure comprises servers that provide processors, memory, local storage, and application network connectivity. In the last 65 years, computing infrastructure has undergone three major waves:
- In the first wave of replacements of proprietary mainframes, x86-based servers were installed on-premises and managed by internal IT teams.
- In the second wave, application infrastructure was widely virtualized, improving resource utilization and workload mobility across physical infrastructure pools.
- The third wave finds us in the present, where we see the move to the cloud, hybrid cloud, and cloud-native (that is, applications born in the cloud).

Common Types of Data Center Topologies:

b) Star Topology: In a star topology, each device is connected directly to a central switch or hub. This design offers centralized control and easy troubleshooting, but it can be expensive due to the requirement of additional cabling.

Considerations in Data Center Topology Design:

Impact of Data Center Topology:

Knowledge Check: Cisco ACI Building Blocks

Before Cisco ACI 4.1, the Cisco ACI fabric supported only a two-tier (leaf-and-spine switch) topology in which leaf switches are connected to spine switches without interconnecting them. Starting with Cisco ACI 4.1, the Cisco ACI fabric allows multitier (three-tier) fabrics and two tiers of leaf switches, which allows for vertical expansion. As a result, a traditional three-tier aggregation access architecture can be migrated, which is still required for many enterprise networks.

The Role of Networks

A network lives to serve the connectivity requirements of applications and applications. We build networks by designing and implementing data centers. A common trend is that the data center topology is much bigger than a decade ago, with application requirements considerably different from the traditional client-server applications and with deployment speeds in seconds instead of days. This changes how networks and your chosen data center topology are designed and deployed.

The traditional network design was scaled to support more devices by deploying larger switches (and routers). This is the scale-in model of scaling. However, these large switches are expensive and primarily designed to support only a two-way redundancy.

Today, data center topologies are built to scale out. They must satisfy the three main characteristics of increasing server-to-server traffic, scale ( scale on-demand ), and resilience. The following diagram shows a ToR design we discussed at the start of the blog.

The Role of The ToR

Top of rack (ToR) is a term used to describe the architecture of a data center. It is a server architecture in which servers, switches, and other equipment are mounted on the same rack. This allows for the most efficient use of space since the equipment is all within arm’s reach.

ToR is also the most efficient way to manage power and cooling since the equipment is all in the same area. Since all the equipment is close together, ToR also allows faster access times. This architecture can also be utilized in other areas, such as telecommunications, security, and surveillance.

ToR is a great way to maximize efficiency in any data center and is becoming increasingly popular. In contrast to the ToR data center design, the following diagram shows an EoR switch design.

The Role of The EoR

The term end-of-row (EoR) design is derived from a dedicated networking rack or cabinet placed at either end of a row of servers to provide network connectivity to the servers within that row. In EoR network design, each server in the rack has a direct connection with the end-of-row aggregation switch, eliminating the need to connect servers directly with the in-rack switch.

Racks are usually arranged to form a row; a cabinet or rack is positioned at the end of this row. This rack has a row aggregation switch, which provides network connectivity to servers mounted in individual racks. This switch, a modular chassis-based platform, sometimes supports hundreds of server connections. However, a large amount of cabling is required to support this architecture.

A ToR configuration requires one switch per rack, resulting in higher power consumption and operational costs. Moreover, unused ports are often more significant in this scenario than with an EoR arrangement.

On the other hand, ToR’s cabling requirements are much lower than those of EoR, and faults are primarily isolated to a particular rack, thus improving the data center’s fault tolerance.

If fault tolerance is the ultimate goal, ToR is the better choice, but EoR configuration is better if an organization wants to save on operational costs. The following table lists the differences between a ToR and an EoR data center design.

data center network topology — Diagram: Data center network topology. The differences. Source FS Community

Data Center Topology Types:

Fabric extenders – FEX

Cisco has introduced the concept of Fabric Extenders, which are not Ethernet switches but remote line cards of a virtualized modular chassis ( parent switch ). This allows scalable topologies previously impossible with traditional Ethernet switches in the access layer.

You should relate an FEX device like a remote line card attached to a parent switch. All the configuration is done on the parent switch, yet physically, the fabric extender could be in a different location. The mapping between the parent switch and the FEX ( fabric extender ) is done via a special VN-Link.

The following diagram shows an example of a FEX in a standard data center network topology. More specifically, we are looking at the Nexus 2000 FEX Series. Cisco Nexus 2000 Series Fabric Extenders (FEX) are based on the standard IEEE 802.1BR. They deliver fabric extensibility with a single point of management.

Diagram: Cisco FEX design. Source Cisco.

Different types of Fex solution

FEXs come with various connectivity solutions, including 100 Megabit Ethernet, 1 Gigabit Ethernet, 10 Gigabit Ethernet ( copper and fiber ), and 40 Gigabit Ethernet. They can be synchronized with the following parent switch models: Nexus 5000, Nexus 6000, Nexus 7000, Nexus 9000, and Cisco UCS Fabric Interconnect.

In addition, because of FEX’s simplicity, they have very low latency ( as low as 500 nanoseconds ) compared to traditional Ethernet switches.

Data Center design — Diagram: Data center fabric extenders.

Some network switches can be connected to others and operate as a single unit. These configurations are called “stacks” and are helpful for quickly increasing the capacity of a network. A stack is a network solution composed of two or more stackable switches. Switches that are part of a stack behave as one single device.

Traditional switches like the 3750s still stand in the data center network topology access layer and can be used with stacking technology, combining two physical switches into one logical switch.

This stacking technology allows you to build a highly resilient switching system, one switch at a time. If you are looking at a standard access layer switch like the 3750s, consider the next-generation Catalyst 3850 series.

The 3850 supports BYOD/mobility and offers various performance and security enhancements compared to previous models. However, stacking has a drawback: You can only stack several switches. So, if you want more throughout, you should aim for a different design type.

Data Center Design: Layer 2 and Layer 3 Solutions

Traditional views of data center design

Depending on the data center network topology deployed, packet forwarding at the access layer can be either Layer 2 or Layer 3. A Layer 3 approach would involve additional management and configuring IP addresses on hosts in a hierarchical fashion that matches the switch’s assigned IP address.

An alternative approach is to use Layer 2, which has less overhead as Layer 2 MAC addresses do not need specific configuration. However, it has drawbacks with scalability and poor performance.

Generally, access switches focus on communicating servers in the same IP subnet, allowing any type of traffic – unicast, multicast, or broadcast. You can, however, have filtering devices such as a Virtual Security Gateway ( VSG ) to permit traffic between servers, but that is generally reserved for inter-POD ( Platform Optimized Design ) traffic.

Leaf and Spine With Layer 3

We use a leaf and spine data center design with Layer 3 everywhere and overlay networking. This modern, robust architecture provides a high-performance, highly available network. With this architecture, data center networks are composed of leaf switches that connect to one or more spine switches.

The leaf switches are connected to end devices such as servers, storage devices, and other networking equipment. The spine switches, meanwhile, act as the network’s backbone, connecting the multiple leaf switches.

The leaf and spine architecture provides several advantages over traditional data center networks. It allows for greater scalability, as additional leaf switches can be easily added to the network. It also offers better fault tolerance, as the network can operate even if one of the spine switches fails.

Furthermore, it enables faster traffic flows, as the spine switches to route traffic between the leaf switches faster than a traditional flat network.

Data Center Traffic Flow

Datacenter topologies can have North-South or East-to-West traffic. North-south ( up / down ) corresponds to traffic between the servers and the external world ( outside the data center ). East-to-west corresponds to internal server communication, i.e., traffic does not leave the data center.

Therefore, determining the type of traffic upfront is essential as it influences the type of topology used in the data center.

data center traffic flow — Diagram: Data center traffic flow.

For example, you may have a pair of ISCSI switches, and all traffic is internal between the servers. In this case, you would need high-bandwidth inter-switch links. Usually, an ether channel supports all the cross-server talk; the only north-to-south traffic would be management traffic.

In another part of the data center, you may have data server farm switches with only HSRP heartbeat traffic across the inter-switch links and large bundled uplinks for a high volume of north-to-south traffic. Depending on the type of application, which can be either outward-facing or internal, computation will influence the type of traffic that will be dominant.

Virtual Machine and Containers.

This drive was from virtualization, virtual machines, and container technologies regarding east-west traffic. Many are moving to a leaf and spine data center design if they have a lot of east-to-west traffic and want better performance.

Network Virtualization and VXLAN

Network virtualization and the ability of a physical server to host many VMs and move those VMs are also used extensively in data centers, either for workload distribution or business continuity. This will also affect the design you have at the access layer.

For example, in a Layer 3 fabric, migrating a VM across that boundary changes its IP address, resulting in a reset of the TCP sessions because, unlike SCTP, TCP does not support dynamic address configuration. In a Layer 2 fabric, migrating a VM incurs ARP overhead and requires forwarding on millions of flat MAC addresses, which leads to MAC scalability and poor performance problems.

VXLAN: stability over Layer 3 core

Network virtualization plays a vital role in the data center. Technologies like VXLAN attempt to move the control plane from the core to the edge and stabilize the core so that it only has a handful of addresses for each ToR switch. The following diagram shows the ACI networks with VXLAN as the overlay that operates over a spine leaf architecture.

Layer 2 and 3 traffic is mapped to VXLAN VNIs that run over a Layer 3 core. The Bridge Domain is for layer 2, and the VRF is for layer 3 traffic. Now, we have the separation of layer 2 and 3 traffic based on the VNI in the VXLAN header.

One of the first notable differences between VXLAN and VLAN was scale. VLAN has a 12-bit identifier called VID, while VXLAN has a 24-bit identifier called a VID network identifier. This means that with VLAN, you can create only 4094 networks over ethernet, while with VXLAN, you can create up to 16 million.

Whether you can build layer 2 or layer 3 in the access and use VXLAN or some other overlay to stabilize the core, it would help if you modularized the data center. The first step is to build each POD or rack as a complete unit. Each POD will be able to perform all its functions within that POD.

A key point: A POD data center design

POD is a design methodology that aims to simplify, speed deployment, optimize resource utilization, and drive the interoperability of three or more data center components: server, storage, and networks.

A POD example: Data center modularity

For example, one POD might be a specific human resources system. The second is modularity based on the type of resources offered. For example, a storage pod or bare metal compute may be housed in separate pods.

These two modularization types allow designers to easily control inter-POD traffic with predefined policies. Operators can also upgrade PODs and a specific type of service at once without affecting other PODs.

However, this type of segmentation does not address the data center’s scale requirements. Even when we have adequately modularized the data center into specific portions, the MAC table sizes on each switch still increase exponentially as the data center grows.

Current and Future Design Factors

New technologies with scalable control planes must be introduced for a cloud-enabled data center, and these new control planes should offer the following:

Option	Data Center Feature
Data center feature 1	The ability to scale MAC addresses
Data center feature 2	First-Hop Redundancy Protocol ( FHRP ) multipathing and Anycast HSRP
Data center feature 3	Equal-Cost multipathing
Data center feature 4	MAC learning optimizations

Several design factors need to be considered when designing a data center. First, what is the growth rate for servers, switch ports, and data center customers? This prevents part of the network topology from becoming a bottleneck or linking congested.

Application bandwidth demand?

This demand is usually translated into oversubscription. In data center networking, oversubscription refers to how much bandwidth switches are offered to downstream devices at each layer.

Oversubscription is expected in a data center design. Limiting oversubscription to the ToR and edge of the network offers a single place to start when performance problems occur.

A data center with no oversubscription ratio will be costly, especially with a low latency network design. So, it’s best to determine what oversubscription ratio your applications support and work best. Optimizing your switch buffers to improve performance is recommended before you decide on a 1:1 oversubscription rate.

Ethernet 6-byte MAC addressing is flat.

Ethernet forms the basis of data center networking in tandem with IP. Since its inception 40 years ago, Ethernet frames have been transmitted over various physical media, even barbed wire. Ethernet 6-byte MAC addressing is flat; the manufacturer typically assigns the address without considering its location.

Ethernet-switched networks do not have explicit routing protocols to ensure readability about the flat addresses of the server’s NICs. Instead, flooding and address learning are used to create forwarding table entries.

IP addressing is a hierarchy.

On the other hand, IP addressing is a hierarchy, meaning that its address is assigned by the network operator based on its location in the network. A hierarchy address space advantage is that forwarding tables can be aggregated. If summarization or other routing techniques are employed, changes in one side of the network will not necessarily affect other areas.

This makes IP-routed networks more scalable than Ethernet-switched networks. IP-routed networks also offer ECMP techniques that enable networks to use parallel links between nodes without spanning tree disabling one of those links. The ECMP method hashes packet headers before selecting a bundled link to avoid out-of-sequence packets within individual flows.

Equal Cost Load Balancing

Equal-cost load balancing is a method for distributing network traffic among multiple paths of equal cost. It provides redundancy and increases throughput. Sending traffic over numerous paths avoids congestion on any single link. In addition, the load is equally distributed across the paths, meaning that each path carries roughly the same total traffic.

ecmp — Diagam: ECMP 5 Tuple hash. Source: Keysight

This allows for using multiple paths at a lower cost, providing an efficient way to increase throughput.

The idea behind equal-cost load balancing is to use multiple paths of equal cost to balance the load on each path. The algorithm considers the number of paths, each path’s weight, and each path’s capacity. It also considers the number of packets that must be sent and the delay allowed for each packet.

Considering these factors, it can calculate the best way to distribute the load among the paths.

Equal-cost load balancing can be implemented using various methods. One method is to use a Link Aggregation Protocol (LACP), which allows the network to use multiple links and distribute the traffic among the links in a balanced way.

A keynote: Data center topologies. The move to VXLAN.

Given the above considerations, a solution encompassing the benefits of L2’s plug-and-play flat addressing and IP scalability is needed. Location-Identifier Split Protocol ( LISP ) has a set of solutions that use hierarchical addresses as locators in the core and flat addresses as identifiers in the edges. However, not much is seen in its deployment these days.

Equivalent approaches such as THRILL and Cisco FabricPath create massive scalable L2 multipath networks with equidistant endpoints. Tunneling is also being used to extend down to the server and access layer to overcome the 4K limitation with traditional VLANs. What is VXLAN? Tunneling with VXLAN is now the standard design in most data center topologies with leaf-spine designs. The following video provides VXLAN guidance.

Data Center Network Topology

Leaf and spine data center topology types

This is commonly seen in a leaf and spine design. For example, in a leaf-spine fabric, We have a Layer 3 IP fabric that supports equal-cost multi-path (ECMP) routing between any two endpoints in the network. Then, on top of the Layer 3 fabric is an overlay protocol, commonly VXLAN.

A spine-leaf architecture consists of a data center network topology with two switching layers: a spine and a leaf. The leaf layer comprises access switches that aggregate traffic from endpoints such as servers and connect directly to the spine or network core.

Spine switches interconnect all leaf switches in a full-mesh topology. The leaf switches do not directly connect. The Cisco ACI is a data center topology that utilizes the leaf and spine.

The ACI network’s physical topology is a leaf and spine, while the logical topology is formed with VXLAN. From a protocol side point, VXLAN is the overlay network, and the BGP and IS-IS provide the Layer 3 routing, the underlay network that allows the overlay network to function.

As a result, the nonblocking architecture performs much better than the traditional data center design based on access, distribution, and core designs.

Closing Points: Data Center Topologies

A data center topology refers to the physical layout and interconnection of network devices within a data center. It determines how servers, switches, routers, and other networking equipment are connected, ensuring efficient and reliable data transmission. Topologies are based on scalability, fault tolerance, performance, and cost.

Hierarchical Data Center Topology:

The hierarchical or tree topology is one of the most commonly used data center topologies. This design consists of multiple core, distribution, and access layers. The core layer connects all the distribution layers, while the distribution layer connects to the access layer. This structure enables better management, scalability, and fault tolerance by segregating traffic and minimizing network congestion.

Mesh Data Center Topology:

Every network device is interlinked in a mesh topology, forming a fully connected network with multiple paths for data transmission. This redundancy ensures high availability and fault tolerance. However, this topology can be cost-prohibitive and complex, especially in large-scale data centers.

Leaf-Spine Data Center Topology:

The leaf-spine topology is gaining popularity due to its scalability and simplicity. It consists of interconnected leaf switches at the access layer and spine switches at the core layer. This design allows for non-blocking, low-latency communication between any leaf switch and spine switch, making it suitable for modern data center requirements.

Full-Mesh Data Center Topology:

As the name suggests, the full-mesh topology connects every network device to every other device, creating an extensive web of connections. This topology offers maximum redundancy and fault tolerance. However, it can be expensive to implement and maintain, making it more suitable for critical applications with stringent uptime requirements.

Summary: Data Center Topology

Data centers are vital in supporting and enabling our digital infrastructure in today’s interconnected world. Behind the scenes, intricate network topologies ensure seamless data flow, allowing us to access information and services easily. In this blog post, we dived into the world of data center topologies, unraveling their complexities and understanding their significance.

Understanding Data Center Topologies

Datacenter topologies refer to a data center’s physical and logical layout of networking components. These topologies determine how data flows between servers, switches, routers, and other network devices. By carefully designing the topology, data center operators can optimize performance, scalability, redundancy, and fault tolerance.

Common Data Center Topologies

There are several widely adopted data center topologies, each with its strengths and use cases. Let’s explore some of the most common ones:

Tree Topology:

Tree topology, or hierarchical topology, is widely used in data centers. It features a hierarchical structure with multiple layers of switches, forming a tree-like network. This topology offers scalability and ease of management, making it suitable for large-scale deployments.

Mesh Topology:

The mesh topology provides a high level of redundancy and fault tolerance. In this topology, every device is connected to every other device, forming a fully interconnected network. While it offers robustness, it can be complex and costly to implement.

Spine-Leaf Topology:

The spine-leaf topology, known as a Clos network, has recently gained popularity. It consists of leaf switches connecting to multiple spine switches, forming a non-blocking fabric. This design allows for efficient east-west traffic flow and simplified scalability.

Factors Influencing Topology Selection

Choosing the right data center topology depends on various factors, including:

Scalability:

A topology must accommodate a data center’s growth. Scalable topologies ensure that additional devices can be seamlessly added without causing bottlenecks or performance degradation.

Redundancy and Fault Tolerance:

Data centers require high availability to minimize downtime. Topologies that offer redundancy and fault tolerance mechanisms, such as link and device redundancy, are crucial in ensuring uninterrupted operations.

Traffic Patterns:

Understanding the traffic patterns within a data center is essential for selecting an appropriate topology. Some topologies excel in handling east-west traffic, while others are better suited for north-south traffic flow.

Conclusion:

Datacenter topologies form the backbone of our digital infrastructure, providing the connectivity and reliability needed for our ever-expanding digital needs. By understanding the intricacies of these topologies, we can better appreciate the complexity involved in keeping our data flowing seamlessly. Whether it’s the hierarchical tree, the fully interconnected mesh, or the efficient spine-leaf, each topology has its place in the world of data centers.

Data Center Network Design

August 11, 2014

by Matt Conran Blog

Data Center Network Design

Data centers are crucial in today’s digital landscape, serving as the backbone of numerous businesses and organizations. A well-designed data center network ensures optimal performance, scalability, and reliability. This blog post will explore the critical aspects of data center network design and its significance in modern IT infrastructure.

Data center network design involves the architectural planning and implementation of networking infrastructure within a data center environment. It encompasses various components such as switches, routers, cables, and protocols. A well-designed network ensures seamless communication, high availability, and efficient data flow.

The traditional three-tier network architecture is being replaced by more streamlined and flexible designs. Two popular approaches gaining traction are the spine-leaf architecture and the fabric-based architecture. The spine-leaf design offers low latency, high bandwidth, and improved scalability, making it ideal for large-scale data centers. On the other hand, fabric-based architectures provide a unified and simplified network fabric, enabling efficient management and enhanced performance.

Network virtualization, powered by technologies like SDN, is transforming data center network design. By decoupling the network control plane from the underlying hardware, SDN enables centralized network management, automation, and programmability. This results in improved agility, better resource allocation, and faster deployment of applications and services.

With the rising number of cyber threats, ensuring robust security and resilience has become paramount. Data center network design should incorporate advanced security measures such as firewalls, intrusion detection systems, and encryption protocols. Additionally, implementing redundant links, load balancing, and disaster recovery mechanisms enhances network resilience and minimizes downtime.

Matt Conran

Highlights: Data Center Network Design

Data Center Network Design

To embark on a successful network design journey, it is essential first to understand the data center’s specific requirements. Factors such as scalability, bandwidth, latency, and reliability need to be carefully assessed. By comprehending the data center’s unique needs, network architects can lay a solid foundation for an optimized design.

Efficiency and resilience are at the core of any well-designed data center network. Building on the requirements identified in the previous section, architects must consider redundancy, load balancing, and fault tolerance principles. The design should minimize single points of failure while maximizing resource utilization and network performance.

Various network topologies and architectures can be employed in data center network design. Each option offers unique advantages and trade-offs, from traditional hierarchical designs to modern approaches like leaf-spine architectures. This section will explore different topologies, highlighting their strengths and considerations.

Virtualization and SDN have revolutionized data center network design, offering increased flexibility and agility. By abstracting network functions from physical infrastructure, virtualization allows for dynamic resource allocation and improved scalability. SDN further enhances network programmability, enabling centralized management and automation. This section will delve into the benefits and implementation considerations of these technologies.

Network, security, and computing

A data center architecture consists of three main components: the data center network, the data center security, and the data center computing architecture. In addition to these three types of architecture, there are also data center physical architectures and data center information architectures. The following are three typical compositions. Network architecture for data centers: Data center networks (DCNs) are arrangements of network devices interconnecting data center resources. They are a crucial research area for Internet companies and large cloud computing firms. The design of a data center depends on its network architecture.

It is common for routers and switches to be arranged in hierarchies of two or three levels. There are three-tier DCNs: fat tree DCNs, DCells, and others. There has always been a focus on scalability, robustness, and reliability regarding data center network architectures.

Data center security refers to physical practices and virtual technologies for protecting data centers from threats, attacks, and unauthorized access. It can be divided into two components: physical security and software security. A firewall between a data center’s external and internal networks can protect it from attack.

a. Understanding the Requirements

Before embarking on the design process, it’s crucial to understand the data center’s unique requirements. Factors such as power and cooling, network connectivity, scalability, and security are vital in determining the design approach. By thoroughly assessing these requirements, architects can create a blueprint that aligns with the organization’s current and future needs.

b. Optimizing Physical Layout

The physical layout of a data center significantly impacts its efficiency and performance. This section will delve into rack placement, aisle design, cable management, and airflow optimization. By adopting best practices in physical layout design, data center operators can minimize energy consumption, reduce maintenance costs, and enhance overall operational efficiency.

c. Redundancy and Resilience

Data centers demand high levels of redundancy and resilience to ensure uninterrupted operations. This section will explore the concept of redundancy in power and cooling systems, backup generators, redundant network connectivity, and failover mechanisms. Implementing robust redundancy measures helps mitigate the risk of downtime and ensures continuous availability of critical services.

4. Security and Compliance

Data centers store sensitive and valuable information, making security a top priority. This section will discuss the importance of physical security measures, access controls, surveillance systems, and fire suppression mechanisms. Additionally, we will explore compliance standards and regulations that govern data center operations, such as SOC 2, ISO 27001, and GDPR.

5. Embracing Green Initiatives

As environmental sustainability gains importance, data centers seek ways to minimize their carbon footprint. This section will focus on energy-efficient design practices, including using renewable energy sources, efficient cooling techniques, and server virtualization. Data centers can contribute to a more sustainable future by adopting green initiatives.

Google Cloud Data Centers

### What is Cloud Armor?

Cloud Armor is a security service offered by Google Cloud that provides protection against distributed denial-of-service (DDoS) attacks and other web-based threats. It leverages Google’s global infrastructure to offer scalable and reliable protection, ensuring that your applications and services remain available and secure even in the face of large-scale attacks.

### Key Features of Cloud Armor

Cloud Armor comes packed with several features that make it an indispensable tool for modern enterprises. Some of its key features include:

– **DDoS Protection:** Automatically detects and mitigates DDoS attacks, ensuring minimal disruption to your services.

– **Web Application Firewall (WAF):** Provides customizable rules to block malicious traffic and protect against common web vulnerabilities.

– **Edge Security Policies:** Allows you to define security policies at the edge of your network, ensuring threats are mitigated before they reach your core infrastructure.

– **Adaptive Protection:** Uses machine learning to identify and respond to evolving threats in real-time.

### Understanding Edge Security Policies

One of the standout features of Cloud Armor is its ability to implement edge security policies. These policies enable organizations to enforce security measures at the periphery of their network, providing an additional layer of defense. By stopping threats at the edge, you can prevent them from penetrating deeper into your network, thereby reducing the risk of data breaches and other security incidents.

Edge security policies can be tailored to your specific needs, allowing you to block traffic based on various criteria such as IP address, geographic location, and request patterns. This granular control helps you enforce stringent security measures while maintaining the performance and availability of your services.

### Benefits of Using Cloud Armor

Deploying Cloud Armor offers several benefits that can significantly enhance your security posture. These include:

– **Scalability:** Designed to handle traffic spikes and large-scale attacks, ensuring your services remain available even under heavy load.

– **Customization:** Flexible rules and policies allow you to tailor security measures to your unique requirements.

– **Proactive Defense:** Real-time threat detection and mitigation keep your applications protected against the latest cyber threats.

– **Cost-Effective:** By leveraging Google’s global infrastructure, you can achieve enterprise-level security without the need for significant upfront investment.

### What is Google Network Connectivity Center?

Google Network Connectivity Center is a unified platform designed to manage and monitor network connections across a variety of environments. Whether you’re dealing with on-premises data centers, cloud environments, or hybrid setups, NCC provides a centralized control point. It simplifies the complexities involved in network management, allowing IT teams to focus on optimizing performance rather than troubleshooting issues.

### Key Features of Google NCC

#### Unified Management

NCC offers a single pane of glass for managing network connections, making it easier to oversee and control your entire network infrastructure. This unified management approach reduces the need for multiple tools and interfaces, streamlining operations and increasing efficiency.

#### Flexible Connectivity Options

Google NCC supports a range of connectivity options, including VPNs, interconnects, and peering. This flexibility ensures that you can choose the best connectivity method for your specific needs, whether it’s connecting remote offices or integrating with third-party cloud services.

#### Real-Time Monitoring and Analytics

One of the standout features of NCC is its real-time monitoring and analytics capabilities. With detailed insights into network performance and traffic patterns, you can quickly identify and resolve issues, optimize resource allocation, and ensure consistent network performance.

Understanding Network Tiers

Network tiers are a concept that categorizes network traffic based on its importance and priority. By classifying traffic into different tiers, businesses can allocate resources accordingly and optimize their network usage. In the case of Google Cloud, there are two main network tiers: Premium Tier and Standard Tier.

The Premium Tier is designed to deliver exceptional performance and reliability. It leverages Google’s global network infrastructure, ensuring low latency and high throughput for critical applications. By utilizing the Premium Tier, businesses can enhance user experience, reduce latency-related issues, and improve overall network performance.

While the Premium Tier offers top-tier performance, the Standard Tier provides a cost-effective solution for non-critical workloads. It offers reliable network connectivity at a lower price point, making it an excellent choice for applications that do not require ultra-low latency or high bandwidth. By strategically utilizing the Standard Tier, businesses can optimize their network spend without compromising on reliability.

Understanding VPC Networking

VPC, or Virtual Private Cloud, is a virtual network dedicated to a specific Google Cloud project. It allows users to define and manage their network resources, including subnets, IP addresses, and firewall rules. With VPC networking, businesses can create isolated environments and control the flow of traffic within their cloud infrastructure.

Google Cloud’s VPC networking offers a range of powerful features. Firstly, it provides global connectivity, allowing businesses to connect resources across regions seamlessly. Additionally, VPC peering enables secure communication between different VPC networks, facilitating collaboration and data sharing. Moreover, VPC networking offers granular control through firewall rules, ensuring robust security for applications and services.

What is Google Cloud CDN?

Google Cloud CDN, short for Content Delivery Network, is a globally distributed network of servers designed to deliver content to users at blazing-fast speed. Cloud CDN minimizes latency and ensures a seamless user experience by caching your content in strategic locations worldwide. Whether it’s static assets, dynamic content, or even streaming media, Cloud CDN optimizes the delivery process, reducing the load on your origin servers and improving overall performance.

Cloud CDN operates by leveraging Google’s extensive network infrastructure. When a user requests content from your website or application, Cloud CDN intelligently routes the request to the nearest edge location. If the content is already cached at that edge location, it is immediately delivered to the user, eliminating the need for a round trip to the origin server. This not only reduces latency but also saves bandwidth and server resources.

Understanding VPC Network Peering

VPC network peering connects VPC networks from different projects or within the same project within Google Cloud. It enables direct communication between these networks, eliminating the need for complex VPN setups or public IP addresses. This seamless connectivity can significantly enhance collaboration, data sharing, and network management.

Enhanced Security: VPC network peering ensures that communication between peered networks remains isolated from the public internet. This adds an extra layer of security by reducing the exposure to potential cyber threats.

Improved Performance: By leveraging VPC network peering, data can be transferred at incredibly high speeds between peered networks. This enables faster resource access, reduces latency, and enhances overall application performance.

Simplified Network Architecture: VPC network peering allows for a more streamlined and simplified network architecture. Instead of relying on complex gateways or routers, communication between VPCs can be established directly, making network management and troubleshooting more straightforward.

Understanding HA VPN

HA VPN is a powerful feature provided by Google Cloud that enables establishing a highly available virtual private network connection between on-premises networks and Google Cloud. It offers redundancy, failover capabilities, and enhanced network reliability. By comprehending HA VPN’s underlying principles and components, organizations can make informed decisions regarding network architecture.

Google HA VPN has several notable features that make it a preferred choice for businesses. These features include:

1. Scalability: Google HA VPN allows businesses to scale their network connectivity per their requirements, ensuring efficient resource utilization and cost-effectiveness.

2. Redundancy: Google HA VPN’s HA (High Availability) feature ensures redundancy, minimizing downtime and providing uninterrupted connectivity.

3. Robust Security: With advanced encryption mechanisms and authentication protocols, Google HA VPN ensures data privacy and protects against potential cyber threats.

Data Center Network Types

a. The Three-Tier Data Center Network

The three-tier DCN architecture has been a traditional approach in data center networking. It consists of three layers: the access layer, the aggregation layer, and the core layer. Each layer serves a specific purpose, from connecting end devices to aggregating traffic and providing high-speed connectivity. This hierarchical design allows for scalability and redundancy, making it a popular choice for many data centers.

b. Unleashing the Power of Fat Tree Data Center Networks

The fat tree DCN, also known as the Clos network, has gained prominence recently due to its ability to handle large-scale data center deployments. Unlike the three-tier DCN, a fat tree network provides multiple paths between devices, enabling better load balancing and higher bandwidth capacity. Fat tree networks offer low-latency communication and enhanced fault tolerance by utilizing a non-blocking switching fabric, making them ideal for mission-critical applications.

c. Exploring the Revolutionary DCell Approach

The DCell architecture takes a novel approach to data center networking and offers a unique perspective on scalability and fault tolerance. DCell networks are based on a hierarchical structure of cells, where each cell consists of a group of servers connected together. This decentralized design eliminates the need for traditional core switches and enables direct server-to-server communication. With its self-organizing capabilities, DCell networks provide excellent scalability, fault tolerance, and efficient resource utilization.

Composition of Data Center Architecture

Routing and Switching:

Routing is the backbone of a data center network, guiding data packets through the labyrinthine pathways. It involves determining the optimal path for data to travel from source to destination, considering network congestion, latency, and cost factors. Advanced routing protocols like Border Gateway Protocol (BGP) enable dynamic route selection, ensuring efficient and fault-tolerant data delivery.

Switching complements routing by facilitating efficient data transmission within a local network. At the heart of a data center, switches act as intelligent traffic controllers, directing data packets to their intended destinations. With features like VLANs (Virtual Local Area Networks) and Quality of Service (QoS), switches prioritize and prioritize traffic, optimizing network performance and ensuring seamless communication.

Example: Spanning Tree Uplink Fast

Spanning Tree Protocol (STP) prevents loops in Ethernet networks by creating a loop-free logical topology and blocking redundant paths. While STP ensures network stability, it can also introduce delays in network convergence. Network downtime caused by STP convergence can be a primary concern for businesses. Even a few seconds of downtime can result in significant losses in critical environments. This is where Spanning Tree Uplink Fast comes into play. Uplink Fast is an enhancement to STP that provides faster convergence times, reducing network downtime and improving overall network efficiency.

How Uplink Fast Works

Uplink Fast allows a switch to detect a link failure on its designated root port and immediately activate an alternate port. This process eliminates the need for the traditional STP convergence process, resulting in faster network recovery times. Uplink Fast is instrumental when network redundancy is crucial, such as in data centers or enterprise networks.

Introducing Spanning Tree MST

Spanning Tree MST enhances the traditional STP, providing a more efficient and flexible solution. MST allows network administrators to divide the network into multiple regions, each with its own Spanning Tree instance. By doing so, MST optimizes network resources and enables load balancing across multiple paths, leading to increased performance and redundancy.

To implement Spanning Tree MST, network switches need to be properly configured. This involves defining regions, assigning VLANs to instances, and configuring parameters such as root bridges and priorities. MST configuration can be complex, but with careful planning and understanding, it offers significant benefits.

Spanning Tree MST offers several key advantages. First, it enables efficient utilization of network resources by load-balancing traffic across multiple paths. Second, it provides enhanced redundancy, ensuring that if one path fails, traffic can automatically reroute through an alternate path. Third, MST simplifies network management by allowing administrators to control traffic flow and prioritize specific VLANs within each instance.

Data Center Security Technologies

Understanding the MAC Move Policy

The MAC Move Policy is a crucial feature in Cisco NX-OS devices that governs the movement of MAC addresses within a network. By defining specific rules and criteria, administrators can control how MAC addresses are learned, aged, and moved across different interfaces and VLANs.

Configuring the MAC Move Policy

Proper configuration is essential to effectively utilizing the MAC Move Policy. This section will guide you through the step-by-step process of configuring the policy on Cisco NX-OS devices. From defining the MAC move parameters to implementing the policy on specific interfaces or VLANs, we will cover all the necessary commands and considerations to ensure a seamless configuration experience.

Understanding MAC ACLs

MAC ACLs, also known as Ethernet ACLs or Layer 2 ACLs, operate at the data link layer of the OSI model. Unlike traditional IP-based ACLs, which focus on network layer addresses, MAC ACLs allow administrators to filter traffic based on MAC addresses. This enables granular control over network access, providing an additional layer of defense against unauthorized devices.

By implementing MAC ACLs on the Nexus 9000 series, network administrators can exercise enhanced control over their network environment. MAC ACLs prevent MAC address spoofing, mitigating the risk of unauthorized devices gaining access. Furthermore, they enable the isolation of specific devices or groups of devices, ensuring that only designated entities can communicate within a given VLAN or network segment.

Understanding VLANs and ACLs

Before we embark on our journey to explore VLAN ACLs’ potential, let’s establish a solid foundation by understanding VLANs and ACLs individually. VLANs (Virtual Local Area Networks) allow us to logically segment networks, improving performance, scalability, and network management. On the other hand, ACLs (Access Control Lists) act as gatekeepers, controlling traffic flow and enforcing security policies.

VLAN ACLs serve as a crucial layer of defense in protecting our networks from unauthorized access, malicious activities, and potential breaches. By implementing VLAN ACLs, we can define granular rules that filter and restrict traffic between VLANs, ensuring that only desired communication occurs. This level of control empowers network administrators to mitigate risks, maintain data integrity, and enforce compliance.

Understanding Nexus Switch Profiles

Nexus switch profiles are a feature of Cisco’s Nexus series switches that allow administrators to define and manage a group of switches as a single entity. By creating a profile, administrators can easily configure and monitor all switches within the group, eliminating the need for repetitive manual configurations. This centralization of management simplifies network administration and saves valuable time and resources.

One of the primary advantages of using Nexus switch profiles is the ability to streamline network operations. With a profile in place, administrators can make changes or updates to configurations across multiple switches simultaneously. This significantly reduces the risk of configuration errors and ensures consistent settings throughout the network. Furthermore, the centralized management approach simplifies troubleshooting and enables faster resolution of network issues.

Data Center Technologies

Understanding Layer 3 Etherchannel

Layer 3 Etherchannel is a link aggregation technique that combines multiple physical links between switches into a single logical channel. By bundling these links together, traffic can be distributed across them, increasing overall bandwidth capacity and providing load-balancing capabilities. Unlike Layer 2 Etherchannel, Layer 3 Etherchannel operates at the network layer, allowing traffic to be routed.

To configure Layer 3 Etherchannel, several steps need to be followed. First, the physical interfaces on the switches need to be identified and grouped into the Etherchannel bundle. Then, a logical interface, the Port-Channel interface, is created and assigned an IP address. Subsequently, routing protocols or static routes can be configured on the Port-Channel interface to enable communication between different networks.

Layer 3 Etherchannel supports various load-balancing algorithms, determining how traffic is distributed across the bundled links. Standard algorithms include source IP, destination IP, and round-robin. Each algorithm has advantages and considerations depending on the network requirements and traffic patterns.

Cisco Nexus 9000 Port Channel

Implementing Port Channels on Cisco Nexus 9000 switches offers several advantages. Firstly, it provides increased link bandwidth, allowing for efficient data transfer and reducing bottlenecks. Secondly, Port Channels enhance network resilience by providing link redundancy. In a link failure, traffic seamlessly switches to the remaining active links. Lastly, Port Channels enable load balancing, distributing network traffic evenly across the aggregated links for optimal utilization.

Setting up a Port Channel on Cisco Nexus 9000 switches is straightforward. Administrators can configure Port Channels using the Link Aggregation Control Protocol (LACP) or the Port Aggregation Protocol (PAgP). Administrators can maximize the benefits of this feature by adequately configuring interfaces and assigning them to the Port Channel.

Understanding Unidirectional Link Detection (UDLD)

UDLD is a layer 2 protocol that helps identify and mitigate the presence of unidirectional links in a network. It works by exchanging periodic messages between neighboring switches to verify bidirectional connectivity. By detecting unidirectional links, UDLD helps prevent potential network issues such as black holes, spanning-tree loops, and data loss.

Cisco Nexus 9000 switches offer seamless integration and support for UDLD. To enable UDLD on a Nexus 9000 switch, administrators can utilize simple commands within the switch configuration. By configuring UDLD timers, administrators can customize the frequency of UDLD messages exchanged between switches. Additionally, UDLD can be configured to operate in either standard or aggressive mode, depending on the specific needs of the network environment.

Understanding VRRP

VRRP, an essential networking protocol, provides automatic failover and load-balancing capabilities. It allows multiple routers to work as a virtual group, presenting a single IP address. By intelligently distributing network traffic, VRRP ensures seamless connectivity even in the face of router failures.

The Nexus 9000 Series, Cisco’s flagship product line, offers a range of cutting-edge features, including VRRP. Designed to meet the demands of modern networks, these switches deliver exceptional performance, scalability, and flexibility. With the Nexus 9000 Series, network administrators can harness the power of VRRP to build a robust and highly available network infrastructure.

Example: Data Center WAN Protocol

BGP, also known as the routing protocol of the Internet, is responsible for exchanging routing and reachability information among autonomous systems (AS). It enables routers to make intelligent decisions about the most optimal paths for data transmission. Unlike interior gateway protocols, BGP focuses on routing between different networks rather than within a single network.

BGP operates on a trust-based model, where routers form peer relationships to exchange routing information. These peers establish connections and exchange routing updates, allowing them to build a complete picture of network reachability. BGP uses a sophisticated algorithm that considers multiple factors, such as path length, quality of service, and policy-based decisions, to determine the best route for traffic.

Understanding BGP AS Prepend

AS Prepend involves adding additional Autonomous System (AS) numbers to the AS path attribute of BGP advertisements. By manipulating the AS path, network operators can influence inbound traffic routing decisions by neighboring autonomous systems. This technique makes a specific path appear less desirable, diverting traffic to alternative paths.

AS Prepend holds excellent potential for optimizing network routing in various scenarios. It can achieve load balancing across multiple links, redirect traffic to less congested paths, or prefer specific transit providers. By carefully implementing AS Prepend, network administrators can improve network performance, reduce latency, and enhance overall service quality.

Recap: Border Gateway Protocol (BGP) is data centers’ most commonly used routing protocol. It has been used to connect Internet systems worldwide for decades and can also be used outside a data center. The BGP protocol is a standard-based open-source software package. It’s more common to find BGP peering between data centers over the WAN. However, we see BGP often used purely inside the data center.

Understanding Leaf and Spine Networks

Leaf and spine networks, also known as Clos networks, are a modern approach to data center architecture. The design revolves around a hierarchical structure consisting of two key components: leaf switches and spine switches. Leaf switches connect directly to endpoints, while spine switches interconnect the leaf switches, forming a non-blocking fabric. This architecture eliminates bottlenecks and enables seamless scalability.

BGP (Border Gateway Protocol) is a crucial routing protocol in leaf and spine networks. It ensures efficient data forwarding between leaf switches using a set of rules known as BGP route advertisements. By default, BGP requires every router to have a full mesh of connections with all other routers in the network, which can be resource-intensive. This is where BGP route reflection comes into play.

Understanding BGP Route Reflection

BGP route reflection, at its core, is a method that allows a BGP speaker to reflect routing information to its peers, alleviating the need for full-mesh connectivity. Designating specific BGP routers as route reflectors streamlines and manages the network structure.

The utilization of BGP route reflection offers several advantages. First, it reduces the number of required BGP peering sessions, resulting in a simplified and less resource-intensive network. Second, route reflection enhances scalability by eliminating the need for full-mesh connectivity, particularly in large-scale networks. Third, it improves convergence time and reduces BGP update processing overhead, enhancing overall network performance.

The third wave of application architectures

Google and Amazon, two of the world’s leading web-scale pioneers, developed a modern data center. The third wave of application architectures represents these organizations’ search and cloud applications. Towards the end of the 20th century, client-server architectures and monolithic single-machine applications dominated the landscape. This third wave of applications has three primary characteristics:

Unlike client-server architectures, modern data center applications involve a lot of communication between servers. In client-server architectures, clients communicate with monolithic servers, which either handle the request entirely themselves or communicate with fewer than a handful of other servers, such as database servers. Search (or Hadoop, its more popular variant) employs many mappers and reducers instead of search. In the cloud, virtual machines can reside on different nodes but must communicate seamlessly. In some cases, VMs are deployed on servers with the least load, scaled out, or balanced loads.

A microservices architecture also increases server-to-server communication. This architecture is based on separating a single function into smaller building blocks and interacting with them. Each block can be used in several applications and enhanced, modified, and fixed independently in such an architecture. Since diagrams usually show servers next to each other, East-West traffic is often called server communication. Traffic flows north-south between local networks and external networks.

Scale and resilience

The sheer size of modern data centers is characterized by rows and rows of dark, humming, blinking machines. As opposed to the few hundred or so servers of the past, a modern data center contains between a few hundred and a hundred thousand servers. To address the connectivity requirements at such scales, as well as the need for increased server-to-server connectivity, network design must be rethought. Unlike older architectures, modern data center applications assume failures as a given. Failures should be limited to the smallest possible footprint. Failures must have a limited “blast radius.” By minimizing the impact of network or server failures on the end-user experience, we aim to provide a stable and reliable experience.

Data Center Goal: Interconnect networks

The goal of data center design and interconnection network is to transport end-user traffic from A to B without any packet drops, yet the metrics we use to achieve this goal can be very different. The data center is evolving and progressing through various topology and technology changes, resulting in multiple network designs. The new data center control planes we see today, such as Fabric Path, LISP, THRILL, and VXLAN, are driven by a change in the end user’s requirements; the application has changed. These new technologies may address new challenges, yet the fundamental question of where to create the Layer 2/Layer three boundaries and the need for Layer 2 in the access layer remains the same. The question stays the same, yet the technologies available to address this challenge have evolved.

Example Protocol: Understanding VXLAN

VXLAN, an encapsulation protocol, enables the creation of virtualized Layer 2 networks over an existing Layer 3 infrastructure. By extending the Layer 2 domain, VXLAN allows the seamless transfer of network traffic between geographically dispersed data centers. It achieves this by encapsulating Ethernet frames within IP packets, providing flexibility and scalability to network virtualization.

Scalability and Flexibility: VXLAN addresses the limitations of traditional VLANs by allowing for a significantly more significant number of virtual networks—up to 16 million—compared to the 4,096 limit of VLANs. This scalability enables organizations to allocate virtual networks more efficiently while accommodating the growing demands of cloud-based applications and services.

Enhanced Network Segmentation and Isolation: VXLAN provides improved network segmentation by creating logical networks that are isolated from one another, even if they share the same physical infrastructure. This isolation enhances security and enables more granular control over network traffic, facilitating efficient multi-tenancy in cloud environments.

Modern Data Centers

There is a vast difference between modern data centers and what they used to be just a few years ago. Physical servers have evolved into virtual networks that support applications and workloads across pools of physical infrastructure and into a multi-cloud environment. There are multiple data centers, the edge, and public and private clouds where data exists and is connected. Both on-premises and cloud-based data centers must be able to communicate. Data centers are even part of the public cloud. Cloud-hosted applications use the cloud provider’s data center resources.

Unified Fabric

Through Cisco’s fabric-based data center infrastructure, tiered silos and inefficiencies of multiple network domains are eliminated, and a unified, flat fabric is provided instead, which allows local area networks (LANs), storage area networks (SANs), and network-attached storage (NASs) to be consolidated into one high-performance, fault-tolerant network. Creating large pools of virtualized network resources that can be easily moved and rapidly reconfigured with Cisco Unified Fabric provides massive scalability and resiliency to the data center.

This approach automatically deploys virtual machines and applications, thereby reducing complexity. Thanks to deep integration between server and network architecture, secure IT services can be delivered from any device within the data center, between data centers, or beyond. In addition to Cisco Nexus switches, Cisco Unified Fabric uses Cisco NX-OS as its operating system.

The use of Open Networking

We also have the Open Networking Foundation ( ONF ), which provides open networking. Open networking describes a network that uses open standards and commodity hardware. So, consider open networking in terms of hardware and software. Unlike a vendor approach like Cisco, this gives you much more choice with what hardware and software you use to make up and design your network.

Data Center Performance Parameters

TCP Performance Parameters

TCP (Transmission Control Protocol) is the backbone of modern Internet communication, ensuring reliable data transmission across networks. However, various parameters that determine TCP’s behavior can influence its performance.

Understanding TCP Window Size: One crucial parameter that affects TCP performance is the window size. The TCP window size refers to the amount of data sent before an acknowledgment is required. A larger window size allows more data to be transmitted without waiting for acknowledgments, thus optimizing throughput. However, substantial window sizes can result in congestion and increased retransmissions.

Congestion Control Mechanisms: Congestion control mechanisms are vital in maintaining network stability and preventing congestion collapse. TCP utilizes algorithms such as Slow Start, Congestion Avoidance, and Fast Recovery to regulate data flow based on network conditions. These mechanisms ensure fairness and efficiency, improving TCP performance and avoiding network congestion.

Timeouts and Retransmission: TCP implements a reliable data transfer mechanism using acknowledgments and timeouts. When a packet is not acknowledged within a specific timeframe, it is considered lost, and TCP initiates retransmission. The selection of appropriate timeout values is crucial to balance reliability and responsiveness. Setting shorter timeouts may lead to unnecessary retransmissions, whereas longer ones can increase latency.

Selective Acknowledgments and SACK Options: Selective acknowledgments (SACK) enhance TCP performance and recovery from packet loss. SACK lets the receiver inform the sender about specific out-of-order packets received successfully. This enables the sender to retransmit only the necessary packets, reducing unnecessary retransmissions and improving overall efficiency.

Maximum Segment Size (MSS): The Maximum Segment Size (MSS) is another crucial TCP performance parameter defining the maximum amount of data encapsulated within a single TCP segment. Optimizing the MSS can significantly impact performance, especially when network links have different MTU (Maximum Transmission Unit) sizes.

Understanding TCP MSS

TCP MSS refers to the maximum amount of data encapsulated within a single TCP segment. It represents the size of the payload, excluding headers and other overhead. The MSS value is negotiated during the TCP handshake process and remains constant throughout the connection.

The TCP MSS value has a direct impact on network performance and efficiency. Setting an appropriate MSS value ensures optimal network resource utilization and avoids unnecessary data packet fragmentation. Properly configuring TCP MSS becomes crucial when networks have different MTU (Maximum Transmission Unit) sizes.

Fragmentation occurs when the MSS value exceeds the MTU of a network path. This fragmentation can lead to performance degradation, increased latency, and potential packet loss. By carefully managing the TCP MSS value, network administrators can prevent or minimize fragmentation issues and enhance overall network performance.

Configuring TCP MSS requires a thorough understanding of the network infrastructure and the devices involved. It involves adjusting the MSS value at various points within the network, such as routers, firewalls, and load balancers. Aligning the TCP MSS value with the MTU of the underlying network ensures efficient data transmission and avoids unnecessary fragmentation.

Advanced Topics

VXLAN Flood and Learn Mechanism

The flood-and-learn mechanism in VXLAN plays a crucial role in facilitating communication between virtual machines within the overlay network. When a virtual machine sends a broadcast or unknown unicast frame, the frame is encapsulated in a VXLAN packet and flooded throughout the network. Each VXLAN tunnel endpoint (VTEP) learns the source MAC address and VTEP association, enabling subsequent unicast traffic to be directly delivered.

Multicast is a fundamental component of VXLAN flood and learn, offering several benefits. First, using multicast VXLAN reduces bandwidth consumption compared to traditional flooding techniques. Second, multicast enables efficient replicating broadcast, multicast, and unknown unicast traffic across the overlay network. Third, it enhances network scalability by eliminating the need to maintain a multicast group per tenant.

BGP Multipath

Section 1: Understanding BGP Multipath

BGP multipath is a feature that enables the installation and usage of multiple paths for a single prefix in the routing table. Traditionally, BGP selects a single best path based on factors such as AS path length, origin type, and path attributes. However, with multipath enabled, BGP can utilize multiple paths simultaneously, distributing traffic across them for load balancing and redundancy purposes.

The utilization of BGP multipath brings several advantages to network operators. First, it enhances network resilience by providing redundant paths. In the event of a link failure or congestion, traffic can be automatically rerouted through available alternate paths, ensuring continuous connectivity. Additionally, BGP multipath facilitates load balancing, enabling more efficient utilization of network resources and better traffic distribution across multiple links.

Understanding BGP Next Hop Tracking

BGP next-hop tracking monitors the reachability of the next-hop IP address associated with a particular route. It allows routers to dynamically adjust their routing tables based on changes in the network topology. Routers can make informed decisions about forwarding traffic by continuously tracking the next hop, ensuring optimal path selection.

Enhanced Network Resiliency: BGP next-hop tracking enables routers to detect and respond to network changes quickly. If a next hop becomes unreachable, routers can automatically reroute traffic to an alternative path, minimizing downtime and improving network resiliency.

Load Balancing and Traffic Engineering: Network administrators gain granular control over traffic distribution with BGP next-hop tracking. By monitoring the reachability of multiple next hops, routers can intelligently distribute traffic across different paths, optimizing resource utilization and improving overall network performance.

Improved Network Convergence: Rapid convergence is crucial in dynamic networks. BGP next hop tracking facilitates faster convergence by promptly updating routing tables when next hops become unreachable. This ensures routing decisions are based on current information, reducing packet loss and minimizing network disruptions.

Related: Before you proceed, you may find the following useful:

Data Center Network Design

The Rise of Overlay Networking

What has the industry introduced to overcome these limitations and address the new challenges? – Network virtualization and overlay networking. In its simplest form, an overlay is a dynamic tunnel between two endpoints that enables Layer 2 frames to be transported between them. In addition, these overlay-based technologies provide a level of indirection that allows switching table sizes to not increase in the order of the number of supported end hosts.

Today’s overlays are Cisco FabricPath, THRILL, LISP, VXLAN, NVGRE, OTV, PBB, and Shorted Path Bridging. They are essentially virtual networks that sit on top of a physical network, and often, the physical network is unaware of the virtual layer above it.

Traditional Data Center Network Design

How do routers create a broadcast domain boundary? Firstly, using the traditional core, distribution, and access model, the access layer is layer 2, and servers served to each other in the access layer are in the same IP subnet and VLAN. The same access VLAN will span the access layer switches for east-to-west traffic, and any outbound traffic is via a First Hop Redundancy Protocol ( FHRP ) like Hot Standby Router Protocol ( HSRP ).

Servers in different VLANs are isolated from each other and cannot communicate directly; inter-VLAN communications require a Layer 3 device. Virtualization’s humble beginnings started with VLANs, which were used to segment traffic at Layer 2. It was expected to find single VLANs spanning an entire data center fabric.

VLAN and Virtualization

The virtualization side of VLANs comes from two servers physically connected to different switches. Assuming the VLAN spans both switches, the same VLAN can communicate with each server. Each VLAN can be defined as a broadcast domain in a single Ethernet switch or shared among connected switches.

Whenever a switch interface belonging to a VLAN receives a broadcast frame (the destination MAC is ffff.ffff.ffff), the device must forward it to all other ports defined in the same VLAN.

This approach is straightforward in design and is almost like a plug-and-play network. The first question is, why not connect everything in the data center into one large Layer 2 broadcast domain? Layer 2 is a plug-and-play network, so why not? STP also blocks links to prevent loops.

The issues of Layer 2

The reason is that there are many scaling issues in large layer 2 networks. Layer 2 networks don’t have controlled / efficient network discovery protocols. Address Resolution Protocol ( ARP ) is used to locate end hosts and uses Broadcasts and Unicast replies. A single host might not generate much traffic, but imagine what would happen if 10,000 hosts were connected to the same broadcast domain. VLANs span an entire data center fabric, which can bring a lot of instability due to loops and broadcast storms.

No hierarchy in MAC addresses

MAC addressing also lacks hierarchy. Unlike Layer 3 networks, which allow summarization and hierarchy addressing, MAC addresses are flat. Adding several thousand hosts to a single broadcast domain will create large forwarding information tables.

Because end hosts are potentially not static, they are likely to be attached and removed from the network at regular intervals, creating a high rate of change in the control plane. Of course, you can have a large Layer 2 data center with multiple tenants if they don’t need to communicate with each other.

The shared services requirements, such as WAAS or load balancing, can be solved by spinning up the service VM in the tenant’s Layer 2 broadcast domain. This design will hit scaling and management issues. There is a consensus to move from a Layer 2 design to a more robust and scalable Layer 3 design.

But why is Layer 2 still needed in data center topologies? One solution is Layer 2 VPN with EVPN. But first, let us look at Cisco DFA.

The Requirement for Layer 2 in Data Center Network Design Servers that perform the same function might need to communicate with each other due to a clustering protocol or simply as part of the application’s inner functions. If the communication is clustering protocol heartbeats or some server-to-server application packets that are not routable, then you need this communication layer to be on the same VLAN, i.e., Layer 2 domain, as these types of packets are not routable and don’t understand the IP layer. Stateful devices such as firewalls and load balancers need Layer 2 adjacency as they constantly exchange connection and session state information. Dual-homed servers: Single server with two server NICs and one NIC to each switch will require a layer 2 adjacency if the adapter has a standby interface that uses the same MAC and IP addresses after a failure. In this situation, the active and standby interfaces must be on the same VLAN and use the same default gateway. Suppose your virtualization solutions cannot handle Layer 3 VM mobility. In that case, you may need to stretch VLANs between PODS / Virtual Resource Pools or even data centers so you can move VMs around the data center at Layer 2 ( without changing their IP address ).

Data Center Design and Cisco DFA

Cisco took a giant step and recently introduced a data center fabric with Dynamic Fabric Automaton ( DFA ), similar to Juniper QFabric. This fabric offers Layer 2 switching and Layer 3 routing at the access layer / ToR. Firstly, it has a Fabric Path ( IS-IS for Layer 2 connectivity ) in the core, which gives optimal Layer 2 forwarding between all the edges.

Then they configure the same Layer 3 address on all the edges, which gives you optimal Layer 3 forwarding across the whole Fabric.

On the edge, you can have Layer 3 Leaf switches, such as the Nexus 6000 series, or integrate with Layer 2-only devices, like the Nexus 5500 series or the Nexus 1000v. You can connect external routers, USC, or FEX to the Fabric. In addition to running IS-IS as the data center control plane, DFA uses MP-iBGP, with some Spine nodes being the Route Reflector to exchange IP forwarding information.

Cisco FabricPath

DFA also employs a Cisco FabricPath technique called “Conversational Learning.” The first packet triggers a full RIB lookup, and the subsequent packets are switched in the hardware-implemented switching cache.

This technology provides Layer 2 mobility throughout the data center while providing optimal traffic flow using Layer 3 routing. Cisco commented, “DFA provides a scale-out architecture without congestion points in the network while providing optimized forwarding for all applications.”

Terminating Layer 3 at the access / ToR has clear advantages and disadvantages. Other benefits include reducing the size of the broadcast domain, which comes at the cost of reducing the mobility domain across which VMs can be moved.

Terminating Layer 3 at the accesses can also result in sub-optimal routing because there will be hair pinning or traffic tromboning of across-subnet traffic, taking multiple and unnecessary hops across the data center fabric.

The role of the Cisco Fabricpath

Cisco FabricPath is a Layer 2 technology that provides Layer 3 benefits, such as multipathing the classical Layer 2 networks using IS-IS at Layer 2. This eliminates the need for spanning tree protocol, avoiding the pitfalls of having large Layer 2 networks. As a result, Fabric Path enables a massive Layer 2 network that supports multipath ( ECMP ). THRILL is an IEEE standard that, like Fabric Path, is a Layer 2 technology that provides the same Layer 3 benefits as Cisco FabricPath to the Layer 2 networks using IS-IS.

LISP is popular in Active data centers for DCI route optimization/mobility. It separates the host’s location from the identifier ( EID ), allowing VMs to move across subnet boundaries while keeping the endpoint identification. LISP is often referred to as an Internet locator.

That can enable some triangular routing designs. Popular encapsulation formats include VXLAN ( proposed by Cisco and VMware ) and STT (created by Nicira but will be deprecated over time as VXLAN comes to dominate ).

The role of OTV

OTV is a data center interconnect ( DCI ) technology enabling Layer 2 extension across data center sites. While Fabric Path can be a DCI technology with dark fiber over short distances, OTV has been explicitly designed for DCI. In contrast, the Fabric Path data center control plane is primarily used for intra-DC communications.

Failure boundary and site independence are preserved in OTV networks because OTV uses a data center control plane protocol to sync MAC addresses between sites and prevent unknown unicast floods. In addition, recent IOS versions can allow unknown unicast floods for certain VLANs, which are unavailable if you use Fabric Path as the DCI technology.

The Role of Software-defined Networking (SDN)

Another potential trade-off between data center control plane scaling, Layer 2 VM mobility, and optimal ingress/egress traffic flow would be software-defined networking ( SDN ). At a basic level, SDN can create direct paths through the network fabric to isolate private networks effectively.

An SDN network allows you to choose the correct forwarding information on a per-flow basis. This per-flow optimization eliminates VLAN separation in the data center fabric. Instead of using VLANs to enforce traffic separation, the SDN controller has a set of policies allowing traffic to be forwarded from a particular source to a destination.

The ACI Cisco borrows concepts of SDN to the data center. It operates over a leaf and spine design and traditional routing protocols such as BGP and IS-IS. However, it brings a new way to manage the data center with new constructs such as Endpoint Groups (EPGs). In addition, no more VLANs are needed in the data center as everything is routed over a Layer 3 core, with VXLAN as the overlay protocol.

Closing Points: Data Center Design

Data centers are the backbone of modern technology infrastructure, providing the foundation for storing, processing, and transmitting vast amounts of data. A critical aspect of data center design is the network architecture, which ensures efficient and reliable data transmission within and outside the facility. 1. Scalability and Flexibility

One of the primary goals of data center network design is to accommodate the ever-increasing demand for data processing and storage. Scalability ensures the network can grow seamlessly as the data center expands. This involves designing a network that supports many devices, servers, and users without compromising performance or reliability. Additionally, flexibility is essential to adapt to changing business requirements and technological advancements.

Redundancy and High Availability

Data centers must ensure uninterrupted access to data and services, making redundancy and high availability critical for network design. Redundancy involves duplicating essential components, such as switches, routers, and links, to eliminate single points of failure. This ensures that if one component fails, there are alternative paths for data transmission, minimizing downtime and maintaining uninterrupted operations. High availability further enhances reliability by providing automatic failover mechanisms and real-time monitoring to promptly detect and address network issues.

Traffic Optimization and Load Balancing

Efficient data flow within a data center is vital to prevent network congestion and bottlenecks. Traffic optimization techniques, such as Quality of Service (QoS) and traffic prioritization, can be implemented to ensure that critical applications and services receive the necessary bandwidth and resources. Load balancing is crucial in evenly distributing network traffic across multiple servers or paths, preventing overutilizing specific resources, and optimizing performance.

Security and Data Protection

Data centers house sensitive information and mission-critical applications, making security a top priority. The network design should incorporate robust security measures, including firewalls, intrusion detection systems, and encryption protocols, to safeguard data from unauthorized access and cyber threats. Data protection mechanisms, such as backups, replication, and disaster recovery plans, should also be integrated into the network design to ensure data integrity and availability.

Monitoring and Management

Proactive monitoring and effective management are essential for maintaining optimal network performance and addressing potential issues promptly. The network design should include comprehensive monitoring tools and centralized management systems that provide real-time visibility into network traffic, performance metrics, and security events. This enables administrators to promptly identify and resolve network bottlenecks, security breaches, and performance degradation.

Data center network design is critical in ensuring efficient, reliable, and secure data transmission within and outside the facility. Scalability, redundancy, traffic optimization, security, and monitoring are essential considerations for designing a robust, high-performance network. By implementing best practices and staying abreast of emerging technologies, data centers can build networks that meet the growing demands of the digital age while maintaining the highest levels of performance, availability, and security.

Example Product: Data Center Monitoring

#### Understanding Cisco ThousandEyes

Cisco ThousandEyes is a comprehensive network intelligence platform that offers deep insights into the performance and health of your data center. By leveraging cloud-based agents and on-premises appliances, ThousandEyes provides end-to-end visibility across your entire network, from your data center to the cloud and beyond. This holistic approach allows IT teams to quickly identify and resolve issues, ensuring that your data center operates at peak efficiency.

#### Key Features of Cisco ThousandEyes

One of the standout features of Cisco ThousandEyes is its ability to deliver real-time insights into network performance. With its advanced monitoring capabilities, ThousandEyes can detect anomalies, pinpoint bottlenecks, and provide actionable data to help you optimize your data center operations. Here are some of the key features that make ThousandEyes a valuable asset:

– **End-to-End Visibility:** Monitor the entire network path, from the user to the application, ensuring no blind spots.

– **Cloud and On-Premises Integration:** Seamlessly integrate with both cloud-based and on-premises infrastructure for comprehensive coverage.

– **Real-Time Alerts:** Receive instant notifications of any performance issues, allowing for swift resolution.

– **Detailed Reporting:** Generate in-depth reports that provide insights into network performance trends and potential areas for improvement.

#### Benefits of Using Cisco ThousandEyes for Data Center Performance

Implementing Cisco ThousandEyes in your data center can deliver a range of benefits that contribute to enhanced performance and reliability. Some of the key advantages include:

– **Proactive Issue Resolution:** By identifying potential problems before they escalate, ThousandEyes helps prevent downtime and ensures continuous service delivery.

– **Improved User Experience:** With optimized network performance, users enjoy faster, more reliable access to applications and services.

– **Cost Efficiency:** By reducing downtime and improving operational efficiency, ThousandEyes can help lower overall IT costs.

– **Scalability:** As your business grows, ThousandEyes can scale with you, providing consistent performance monitoring across expanding networks.

#### Real-World Applications

Many organizations have successfully leveraged Cisco ThousandEyes to boost their data center performance. For example, a global financial services company used ThousandEyes to monitor their network and quickly identify a latency issue affecting their trading platform. By resolving the issue promptly, they were able to maintain their competitive edge and deliver a seamless experience to their clients. Similarly, an e-commerce giant utilized ThousandEyes to ensure their website remained responsive during peak shopping seasons, resulting in increased customer satisfaction and sales.

Summary: Data Center Network Design

In today’s digital age, data centers are the backbone of countless industries, powering the storage, processing, and transmitting massive amounts of information. However, the efficiency and scalability of data center network design have become paramount concerns. In this blog post, we explored the challenges traditional data center network architectures face and delved into innovative solutions that are revolutionizing the field.

The Limitations of Traditional Designs

Traditional data center network designs, such as three-tier architectures, have long been the industry standard. However, these designs come with inherent limitations that hinder performance and flexibility. The oversubscription of network links, the complexity of managing multiple layers, and the lack of agility in scaling are just a few of the challenges that plague traditional designs.

Enter the Spine-and-Leaf Architecture

The spine-and-leaf architecture has emerged as a game-changer in data center network design. This approach replaces the hierarchical three-tier model with a more scalable and efficient structure. The spine-and-leaf design comprises spine switches, acting as the core, and leaf switches, connecting directly to the servers. This non-blocking, high-bandwidth architecture eliminates oversubscription and provides improved performance and scalability.

Embracing Software-Defined Networking (SDN)

Software-defined networking (SDN) is another revolutionary concept transforming data center network design. SDN abstracts the network control plane from the underlying infrastructure, allowing centralized network management and programmability. With SDN, data center administrators can dynamically allocate resources, optimize traffic flows, and respond rapidly to changing demands.

The Rise of Network Function Virtualization (NFV)

Network Function Virtualization (NFV) complements SDN by virtualizing network services traditionally implemented using dedicated hardware appliances. By decoupling network functions, such as firewalls, load balancers, and intrusion detection systems, from specialized hardware, NFV enables greater flexibility, scalability, and cost savings in data center network design.

Conclusion:

The landscape of data center network design is undergoing a significant transformation. Traditional architectures are being replaced by more scalable and efficient models like the spine-and-leaf architecture. Moreover, concepts like SDN and NFV empower administrators with unprecedented control and flexibility. As technology evolves, data center professionals must embrace these innovations and stay at the forefront of this paradigm shift.

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Data Center Network Design

Example Product: Data Center Monitoring

Summary: Data Center Network Design

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