data center design

Open Networking

Open Networking

In today's digital age, connectivity is at the forefront of our lives. From smart homes to autonomous vehicles, the demand for seamless and reliable network connectivity continues to grow. This is where Open Networking comes into play. In this blog post, we will explore the concept of Open Networking, its benefits, and its impact on the future of technology.

Open Networking refers to separating hardware and software components of a network infrastructure. Traditionally, network equipment vendors provided closed, proprietary systems that limited flexibility and innovation.

However, with Open Networking, organizations can choose the hardware and software components that best suit their needs, fostering greater interoperability and driving innovation.

Table of Contents

Highlights: Open Networking

The Role of Transformation

To undertake an effective SDN data center transformation strategy, we must accept that demands on data center networks come from internal end-users, external customers, and considerable changes in the application architecture. All of which put pressure on traditional data center architecture.

Dealing effectively with these demands requires the network domain to become more dynamic, potentially introducing Open Networking and Open Networking solutions. We must embrace digital transformation and the changes it will bring to our infrastructure for this to occur. Unfortunately, keeping current methods is holding back this transition.

Modern Network Infrastructure

In modern network infrastructures, as has been the case on the server side for many years, customers demand supply chain diversification regarding hardware and silicon vendors. This diversification reduces the Total Cost of Ownership because businesses can drive better cost savings. In addition, replacing the hardware underneath can be seamless because the software above is standard across both vendors.

Further, as architectures streamline and spine leaf architecture increases from the data center to the backbone and the Edge, a typical software architecture across all these environments brings operational simplicity. This perfectly aligns with the broader trend of IT/OT convergence.  

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

  1. OpenFlow Protocol
  2. Software-defined Perimeter Solutions
  3. Network Configuration Automation
  4. SASE Definition
  5. Network Overlays
  6. Overlay Virtual Networking



Open Networking Solutions

Key Open Networking Discussion points:


  • Popularity of Spine Leaf architecture.

  • Lack of fabric-wide automation.

  • Automation and configuration management.

  • Open networking vs open protocols.

  • Challenges with integrated vendors.

Back to Basics: Open Networking

SDN and an SDN Controller

SDN’s three concepts are:

  • Programmability.
  • The separation of the control and data planes.
  • Managing a temporary network state in a centralized control model, regardless of the degree of centralization.

So, we have an SDN controller. In theory, an SDN controller provides services that can realize a distributed control plane and abet temporary state management and centralization concepts. 

open networking
Diagram: Open Networking for a data center topology.

The Role of Zero Trust

Zero Trust Security Strategy

Zero Trust Security Main Components

  • Zero trust security is a paradigm shift in the way organizations approach their cybersecurity.

  • Every user, device, or application, regardless of its location, must undergo strict verification and authorization processes.

  • Organizations can fortify their defenses, protect sensitive data, and mitigate the risks associated with modern cyber threats.

♦ Benefits of Open Networking:

1. Flexibility and Customization: Open Networking enables organizations to tailor their network infrastructure to their specific requirements. By decoupling hardware and software, businesses can choose the best-of-breed components and optimize their network for performance, scalability, and cost-effectiveness.

2. Interoperability: Open Networking promotes interoperability by fostering open standards and compatibility between different vendors’ equipment. This allows organizations to build multi-vendor networks, reducing vendor lock-in and enabling seamless integration of network components.

3. Cost Savings: With Open Networking, organizations can lower their networking costs by leveraging commodity hardware and open-source software. This reduces capital expenditures and allows for more efficient network management and more effortless scalability.

4. Innovation and Collaboration: Open Networking encourages collaboration and innovation by providing a platform for developers to create and contribute to open-source networking projects. The community’s collective effort drives continuous improvements, leading to faster adoption of new technologies and features.

Open Networking in Practice:

Open Networking is already making its mark across various industries. Cloud service providers, for example, rely heavily on Open Networking principles to build scalable and flexible data center networks. Telecom operators also embrace Open Networking to deploy virtualized network functions, enabling them to offer services more efficiently and adapt to changing customer demands.

Moreover, adopting Software-Defined Networking (SDN) and Network Functions Virtualization (NFV) further accelerates the realization of Open Networking’s benefits. SDN separates the control plane from the data plane, providing centralized network management and programmability. NFV virtualizes network functions, allowing for dynamic provisioning and scalability.

Open Networking in Practice

Cloud service providers

Virtualized Network Function

Virtual Private Networks

Software-Defined Networking (SDN

Network Function Virtualization

Dynamic Provisioning and Scalability

Open-source network operating systems (NOS)

Leveraging White-box Switches

Reducing Vendor Lock-in

Freedom to choose best-of-breed components

Intent-based Networking

Network Virtualization

 

Open Networking Solutions

Open networking solutions: Data center topology

Now, let’s look at the evolution of data centers to see how we can achieve this modern infrastructure. So, to evolve and to be in line with current times, you should use technology and your infrastructure as practical tools. You will be able to drive the entire organization to become digital.

Of course, the network components will play a key role. Still, the digital transformation process is an enterprise-wide initiative focusing on fabric-wide automation and software-defined networking.

Open networking solutions: Lacking fabric-wide automation

One central pain point I have seen throughout networking is the necessity to dispense with manual work lacking fabric-wide automation. In addition, it’s common to deploy applications by combining multiple services that run on a distributed set of resources. As a result, configuration and maintenance are much more complex than in the past. You have two options to implement all of this.

First, you can connect up these services by, for example, manually spinning up the servers, installing the necessary packages, SSHing to each one, or you can go down the path of open network solutions with automation, in particular, Ansible automation with Ansible Engine or Ansible Tower with automation mesh. As automation best practice, use Ansible variables for flexible playbook creation that can be easily shared and used amongst different environments.  

Agility and the service provider

For example, in the case of a service provider that has thousands of customers, it needs to deploy segmentation to separate different customers. Traditionally, the technology of choice would be VRFs or even full-blown MPLS, which requires administrative touchpoints for every box.

As I was part of a full-blown MPLS design and deployment for a more significant service provider, the costs and time were extreme. Even when it is finally done, the design lacks agility compared to what you could have done with Open Networking.

This would include Provider Edge (PE) Edge routers at the Edge, to which the customer CPE would connect. And then, in the middle of the network, we would have what is known as P ( Provider ) routers that switch the traffic based on a label.

Although the benefits of label switching were easy to implement IPv6 with 6PE ( 6PE is a technique that provides global IPv6 reachability over IPv4 MPLS ) that overcomes many IPv6 fragmentation issues, we could not get away from the manual process without investing heavily again. It is commonly a manual process.

Fabric-wide automation and SDN

However, deploying a VRF or any technology, such as an anycast gateway, is a dynamic global command in a software-defined environment. We now have fabric-wide automation and can deploy with one touch instead of numerous box-by-box configurations.

Essentially, we are moving from a box-by-box configuration to the atomic programming of a distributing fabric of a single entity. The beauty is that we can carry out deployments with one configuration point quickly and without human error.

fabric wide automation
Diagram: Fabric wide automation.

Open networking solutions: Configuration management

Manipulating configuration files by hand is a tedious and error-prone task. Not to mention time-consuming. Equally, performing pattern matching to make changes to existing files is risky. The manual approach will result in configuration drift, where some servers will drift from the desired state.

Configuration drift is caused by inconsistent configuration items across devices, usually due to manual changes and updates and not following the automation path. Ansible architecture can maintain the desired state across various managed assets.

The managed assets that can range from distributed firewalls to Linux hosts are stored in what’s known as an inventory file, which can be static or dynamic inventory. Dynamic inventories are best suited for a cloud environment where you want to gather host information dynamically. Ansible is all about maintaining the desired state for your domain.

ansible automation
Diagram: Ansible automation.

The issue of Silos

To date, the networking industry has been controlled by a few vendors. We have dealt with proprietary silos in the data center, campus/enterprise, and service provider environments. The major vendors will continue to provide a vertically integrated lock-in solution for most customers. They will not allow independent, 3rd party network operating system software to run on their silicon.

Typically, these silos were able to solve the problems of the time. The modern infrastructure needs to be modular, open, and straightforward. Vendors need to allow independent, 3rd party network operating systems to run on their silicon to break from being a vertically integrated lock-in solution.

Cisco has started this for the broader industry regarding open networking solutions with the announcement of the Cisco Silicon ONE. 

network overlay
Diagram: The issue of vendor lock-in.

The Rise of Open Networking Solutions

New data center requirements have emerged; therefore, the network infrastructure must break the silos and transform to meet these trending requirements. One can view the network transformation as moving from a static and conservative mindset that results in cost overrun and inefficiencies to a dynamic routed environment that is simple, scalable, secure, and can reach the far edge. For effective network transformation, we need several stages. 

Firstly, transition to a routed data center design with a streamlined leaf-spine architecture. Along with a standard operating system across cloud, Edge, and 5G networks. A viable approach would be for all of this to be done with open standards, without proprietary mechanisms. Then, we need good visibility.

The need for visibility

As part of the transformation, the network is no longer considered a black box that needs to be available and provide connectivity to services. Instead, the network is a source of deep visibility that can aid a large set of use cases: network performance, monitoring, security, and capacity planning, to name a few. However, visibility is often overlooked with an over-focus on connectivity and not looking at the network as a valuable source of information.

Network management
Diagram: The requirement for deep visibility.

Monitoring a network: Flow level

For efficient network management, we must provide deep visibility for the application at a flow level on any port and device type. Today, you would deploy a redundant monitoring network if you want anything comparable. Such a network would consist of probes, packet brokers, and tools to process the packet for metadata.

The traditional network monitoring tools, such as packet brokers, require life cycle management. A more viable solution would integrate network visibility into the fabric and would not need many components. This enables us to do more with the data and aids with agility for ongoing network operations.

There will always be some requirement for application optimization or a security breach, where visibility can help you quickly resolve these issues.

Monitoring is used to detect known problems and is only valid with pre-defined dashboards with a problem you have seen before, such as capacity reaching its limit. On the other hand, we have the practices of Observability that can detect unknown situations and is used to aid those in getting to the root cause of any problem, known or unknown: Observability vs Monitoring

Evolution of the Data Center

We are transitioning, and the data center has undergone several design phases. Initially, we started with layer 2 silos, suitable for the north-to-south traffic flows. However, layer 2 designs hindered east-west communication traffic flows of modern applications and restricted agility, which led to a push to break network boundaries.

Hence, there is a move to routing at the Top of the Rack (ToR) with overlays between ToR to drive inter-application communication. This is the most efficient approach, which can be accomplished in several ways. 

The leaf spine “clos” popularity

The demand for leaf and spine “clos” started in the data center and spread to other environments. A clos network is a type of non-blocking, multistage switching architecture. This network design extends from the central/backend data center to the micro data centers at the EdgeEdge. Various parts of the edge network, PoPs, central offices, and packet core have all been transformed into leaf and spine “clos” designs. 

leaf spine
Diagram: Leaf Spine.

The network overlay

Building a complete network overlay is common to all software-defined technologies when increasing agility. An overlay is a solution that is abstracted from the underlying physical infrastructure. This means separating and disaggregating the customer applications or services from the network infrastructure. Think of it as a sandbox or private network for each application that is on an existing network.

More often, the network overlay will be created with VXLAN. The Cisco ACI uses an ACI network of VXLAN for the overlay, and the underlay is a combination of BGP and IS-IS. The overlay abstracts a lot of complexity, and Layer 2 and 3 traffic separation is done with a VXLAN network identifier (VNI).

The VXLAN overlay

VXLAN uses a 24-bit network segment ID, called a VXLAN network identifier (VNI), for identification. This is much larger than the 12 bits used for traditional VLAN identification. The VNI is just a fancy name for a VLAN ID, but it now supports up to 16 Million VXLAN segments. 

This is considerably more than the traditional 4094 supported endpoints with VLANs. Not only does this provide more hosts, but it enables better network isolation capabilities, having many little VXLAN segments instead of one large VLAN domain.

The VXLAN network has become the de facto overlay protocol and brings many advantages to network architecture regarding flexibility, isolation, and scalability. VXLAN effectively implements an Ethernet segment virtualizing a thick Ethernet cable.

VXLAN unicast mode

Traditional policy deployment

Traditionally, deploying an application to the network involves propagating the policy to work through the entire infrastructure. Why? Because the network acts as an underlay, segmentation rules configured on the underlay are needed to separate different applications and services.

This creates a rigid architecture that cannot react quickly and adapt to changes, therefore lacking agility. The applications and the physical network are tightly coupled. Now, we can have a policy in the overlay network with proper segmentation per customer.

How VXLAN works: ToR

What is VXLAN? Virtual networks and those built with VXLAN are built from servers or ToR switches. Either way, the underlying network transports the traffic and doesn’t need to be configured to accommodate the customer application. That’s all done in the overlay, including the policy. Everything happens in the overlay network, which is most efficient when done in a fully distributed manner.

Overlay networking
Diagram: Overlay Networking with VXLAN

Now, application and service deployment occurs without touching the physical infrastructure. For example, if you need to have Layer 2 or Layer 3 paths across the data center network, you don’t need to tweak a VLAN or change routing protocols.

Instead, you add a VXLAN overlay network. This approach removes the tight coupling between the application and network, creating increased agility and simplicity in deploying applications and services.

the network overlay
Diagram: The VXLAN overlay network.

Extending from the data center

Edge computing creates a fundamental disruption among the business infrastructure teams. We no longer have the framework where IT only looks at the backend software, such as Office365, and OT looks at the routing and switching product-centric elements. There is convergence.

Therefore, you need a lot of open APIs. The edge computing paradigm brings processing closer to the end devices. This reduces the latency and improves the end-user experience. It would help if you had a network that could work with this model to support this. Having different siloed solutions does not work. 

Common software architecture

So the data center design went from the layer 2 silo to the leaf and spine architecture with routing to the ToR. However, there is another missing piece. We need a standard operating software architecture across all the domains and location types for switching and routing to reduce operating costs. The problem remains that even on one site, there can be several different operating systems.

Through recent consultancy engagements, I have experienced the operational challenge of having many Cisco operating systems on one site. For example, I had an IOS XR for service provider product lines, IOS XE for enterprise, and NS OX for the data center, all on a single site.

Open networking solutions and partially open-source 

Some major players, such as Juniper, started with one operating system and then fragmented significantly. It’s not that these are not great operating systems. Instead, it would be best if you partitioned into different teams, often a team for each operating system.

Standard operating system software provides a seamless experience across the entire environment. Therefore, your operational costs go down, your ability to use software for the specific use cases you want goes up, and you can reduce the cost of ownership. In addition, this brings Open Networking and partially open source.

What Is Open Networking

The traditional integrated vendor

Traditionally, networking products were a combination of hardware and software that had to be purchased as an integrated solution. Open networking, on the other hand, disaggregates hardware from software. They were allowing IT to mix and match at will.

With Open Networking, we are not reinventing how packets are forwarded or routers communicate. With Open Networking solutions, you are never alone and never the only vendor. The value of software-defined networking and Open Networking is doing as much as possible in software so you don’t depend on delivering new features from a new generation of hardware. If you want a new part, it’s quickly implemented in software without swapping the hardware or upgrading line cards.

Move intelligence to software.

You want to move as much intelligence as possible into software, thus removing the intelligence from the physical layer. You don’t want to build in hardware features; you want to use the software to provide the new features. This is a critical philosophy and is the essence of Open Networking. Software becomes the central point of intelligence, not the hardware; this intelligence is delivered fabric-wide.

As we have seen with the rise of SASE. From the customer’s point of view, they get more agility as they can move from generation to generation of services without having hardware dependency and don’t have the operational costs of constantly swapping out the hardware.

SDN network

Open Networking Solutions and Open Networking Protocols

Some vendors build into the hardware the differentiator of the offering. For example, with different hardware, you can accelerate the services. With this design, the hardware level is manipulated to make improvements but does not use standard Open Networking protocols. 

When you look at your hardware to accelerate your services, the result is that you are 100% locked and unable to move as the cost of moving is too much. You could have numerous generations of, for example, line cards, and all have different capabilities, resulting in a complex feature matrix.

It is not that I’m against this, and I’m a big fan of the prominent vendors, but this is the world of closed networking, which has been accepted as the norm until recently. So you must adapt and fit; we need to use open protocols.

Open networking is a must; open source is not.

The proprietary silo deployments led to proprietary alternatives to the prominent vendors. This meant that the startups and options offered around ten years ago were playing the game on the same pitch as the incumbents. Others built their software and architecture by, for example, saying the Linux network subsystem and the OVS bridge are good enough to solve all data center problems.

With this design, you could build small PoPs with layer 2. But the ground shifts as the design requirements change to routing. So, let’s glue the Linux kernel and Quagga FRRouting (FRR) and devise a routing solution. Unfortunately, many didn’t consider the control plane architecture or the need for multiple data center use cases.

Limited scale

Gluing the operating system and elements of open-source routing provides a limited scale and performance and results in operationally intensive and expensive solutions. The software is built to support the hardware and architectural demands.

Now, we see a lot of open-source networking vendors tackling this problem from the wrong architectural point of view, at least from where the market is moving to. It is not composable, microservices-based, or scalable from an operational viewpoint.

There is a difference between open source and Open Networking. The open-source offerings (especially the control plane) have not scaled because of sub-optimal architectures. 

On the other hand, Open Networking involves building software from first principles using modern best practices, with Open API (e.g., OpenConfig/NetConf) for programmatic access without compromising on the massive scale-up and scale-out requirements of modern infrastructure.

SDN Network Design Options

We have both controller and controllerless options. With a controllerless solution, setup is faster, increases agility, and provides robustness in single-point-of-failure, particularly for out-of-band management, i.e., connecting all the controllers.

A controllerless architecture is more self-healing; anything in the overlay network is also part of the control plane resilience. An SDN controller or controller cluster may add complexity and impede resiliency. Since the network depends on them for operation, they become a single point of failure and can impact network performance. The intelligence kept in a controller can be a point of attack.

So, there are workarounds where the data plane can continue forward without an SDN controller but always avoid a single point of failure or complex ways to have a quorum in a control-based architecture.

software defined architecture
Diagram: Software defined architecutre.

Software Defined Architecture & Automation

We have two main types of automation to consider. Day 0 and days 1-2. First and foremost, day 0 automation simplifies and reduces human error when building the infrastructure. Days 1-2 touch the customer more. This may include installing services quickly on the fabric, e.g., VRF configuration and building Automation into the fabric. 

Day 0 automation

As I said, day 0 automation builds basic infrastructures, such as routing protocols and connection information. These stages need to be carried out before installing VLANs or services. Typical tools software-defined networking uses are Ansible or your internal applications to orchestrate the build of the network.

These are known as fabric automation tools. Once the tools discover the switches, the devices are connected in a particular way, and the fabric network is built without human intervention. It simplifies traditional automation, which is helpful in day 0 automation environments.

Configuration Management

Ansible is a configuration management tool that can help alleviate manual challenges. Ansible replaces the need for an operator to tune configuration files manually and does an excellent job in application deployment and orchestrating multi-deployment scenarios.  

Ansible configuration
Diagram: Ansible Configuration

Pre-deployed infrastructure

Ansible does not deploy the infrastructure; you could use other solutions like Terraform that are best suited for this. Terraform is infrastructure as a code tool. Ansible is often described as a configuration management tool and is typically mentioned along the same lines as Puppet, Chef, and Salt. However, there is a considerable difference in how they operate.

Most notably, the installation of agents. Ansible automation is relatively easy to install as it is agentless. The Ansible architecture can be used in large environments with Ansible Tower using the execution environment and automation mesh. I have recently encountered an automation mesh, a powerful overlay feature that enables automation closer to the network’s edge.

Current and desired stage [ YAML playbooks, variables ]

Ansible ensures that the managed asset’s current state meets the desired state. Ansible is all about state management. It does this with Ansible Playbooks, more specifically, YAML playbooks. A playbook is a term Ansible uses for a configuration management script and ensuring the desired state is met. Essentially, playbooks are Ansible’s configuration management scripts. 

open networking solutions
Diagram: Configuration management.

Day 1-2 automation

With day 1-2 automation, SDN does two things.

Firstly, the ability to install or provision services automatically across the fabric. With one command, human error is eliminated. The fabric synchronizes the policies across the entire network. It automates and disperses the provisioning operations across all devices. This level of automation is not classical, as this strategy is built into the SDN infrastructure. 

Secondly, it integrates network operations and services with virtualization infrastructure managers such as OpenStack, VCenter, OpenDaylight, or, at an advanced level, OpenShift networking SDN. How does the network adapt to the instantiation of new workloads via the systems? The network admin should not even be in the loop if, for example, a new virtual machine (VM) is created. 

There should be a signal that a VM with specific configurations should be created, which is then propagated to all fabric elements. You shouldn’t need to touch the network when the virtualization infrastructure managers provide a new service. This represents the ultimate in agility as you are removing the network components. 

The first steps of creating a software-defined data center

It is agreed that agility is a necessity. So, what is the prime step? One critical step is creating a software-defined data center that will allow the rapid deployment of computing and storage for workloads. In addition to software-defined computing and storage, the network must be automated and not be an impediment. 

The five critical layers of technology

To achieve software-defined agility for the network, we need an affordable solution that delivers on four essential layers of technology:

  1. Comprehensive telemetry/granular visibility into endpoints and traffic traversing the network fabric for performance monitoring and rapid troubleshooting.
  2. Network virtualization overlay, like computer virtualization, abstracts the network from the physical hardware for increased agility and segmentation.
  3. Software-defined networking (SDN) involves controlling and automating the physical underlay to eliminate the mundane AND error-prone box-by-box configuration.
  4. Open network underlay is a cost-effective physical infrastructure with no proprietary hardware lock-in that can leverage open source.
  5. Open Networking solutions are a must, as understanding the implications of open source in large, complex data center environments is essential.

The Future of Open Networking:

Open Networking will be crucial in shaping the future as technology evolves. The rise of 5G, the Internet of Things (IoT), and artificial intelligence (AI) will require highly agile, scalable, and intelligent networks. Open Networking’s flexibility and interoperability will meet these demands and enable a connected future.

Summary: Open Networking

Networking is vital in bringing people and ideas together in today’s interconnected world. Traditional closed networks have their limitations, but with the emergence of open networking, a new era of connectivity and collaboration has dawned. This blog post explored the concept of open networking, its benefits, and its impact on various industries and communities.

Section 1: What is Open Networking?

Open networking uses open standards, open-source software, and open APIs to build and manage networks. Open networking promotes interoperability, flexibility, and innovation, unlike closed networks that rely on proprietary systems and protocols. It allows organizations to customize and optimize their networks based on their unique requirements.

Section 2: Benefits of Open Networking

2.1 Enhanced Scalability and Agility

Open networking enables organizations to scale their networks more efficiently and adapt to changing needs. Decoupling hardware and software makes adding or removing network components easier, making the network more agile and responsive.

2.2 Cost Savings

With open networking, organizations can choose hardware and software components from multiple vendors, promoting competition and reducing costs. This eliminates vendor lock-in and allows organizations to use cost-effective solutions without compromising performance or reliability.

2.3 Innovation and Collaboration

Open networking fosters innovation by encouraging collaboration among vendors, developers, and users. Developers can create new applications and services that leverage the network infrastructure with open APIs and open-source software. This leads to a vibrant ecosystem of solutions that continually push the boundaries of what networks can achieve.

Section 3: Open Networking in Various Industries

3.1 Telecommunications

Open networking has revolutionized the telecommunications industry. Telecom operators can now build and manage their networks using standard hardware and open-source software, reducing costs and enabling faster service deployments. It has also paved the way for adopting virtualization technologies like Network Functions Virtualization (NFV) and Software-Defined Networking (SDN).

3.2 Data Centers

In the world of data centers, open networking has gained significant traction. Data center operators can achieve greater agility and scalability by using open standards and software-defined networking. Open networking also allows for better integration with cloud platforms and the ability to automate network provisioning and management.

3.3 Enterprise Networks

Enterprises are increasingly embracing open networking to gain more control over their networks and reduce costs. Open networking solutions offer greater flexibility regarding hardware and software choices, enabling enterprises to tailor their networks to meet specific business needs. It also facilitates seamless integration with cloud services and enhances network security.

Conclusion:

Open networking has emerged as a powerful force in today’s digital landscape. Its ability to promote interoperability, scalability, and innovation makes it a game-changer in various industries. Whether revolutionizing telecommunications, transforming data centers, or empowering enterprises, open networking connects the world in ways we never thought possible.

with safety.3D rendering

Brownfield Network Automation

Brownfield Network Automation

In today's rapidly advancing technological landscape, the efficient management and automation of networks has become crucial for businesses to thrive. While greenfield networks are often designed with automation in mind, brownfield networks present a unique set of challenges. In this blog post, we will explore the world of brownfield network automation, its benefits, implementation strategies, and the future it holds.

Brownfield networks refer to existing networks that have been established over time, typically with a mix of legacy and modern infrastructure. These networks often lack the built-in automation capabilities of newer networks, making the implementation of automation a complex endeavor.

Automating brownfield networks brings forth numerous advantages. Firstly, it enhances operational efficiency by reducing manual interventions and human errors. Secondly, it enables faster troubleshooting and improves network reliability. Additionally, automation allows for better scalability and prepares networks for future advancements.

Implementing automation in brownfield networks requires a systematic approach. Firstly, a comprehensive network assessment should be conducted to identify existing infrastructure, equipment, and protocols. Next, a phased approach can be taken, starting with low-risk areas and gradually expanding automation to critical components. It is crucial to ensure seamless integration with existing systems and thorough testing before deployment.

Automation in brownfield networks can face challenges such as outdated equipment, incompatible protocols, and lack of standardized documentation. To overcome these obstacles, a combination of hardware and software upgrades, protocol conversions, and meticulous planning is essential. Collaboration among network engineers, IT teams, and vendors is also crucial to address these challenges effectively.

As technologies like Software-Defined Networking (SDN) and Network Function Virtualization (NFV) continue to evolve, brownfield network automation is poised for significant advancements. The integration of artificial intelligence and machine learning will further streamline network operations, predictive maintenance, and intelligent decision-making.

Conclusion: In conclusion, brownfield network automation opens up a world of possibilities for businesses seeking to optimize their existing networks. Despite the challenges, the benefits are substantial, ranging from increased efficiency and reliability to future-proofing the infrastructure. By embracing automation, organizations can unlock the full potential of their brownfield networks and stay ahead in the ever-evolving digital landscape.

Highlights: Brownfield Network Automation

Role of automation

As a result, network devices are still configured like snowflakes (having many one-off, nonstandard configurations), and network engineers take pride in solving transport and application problems by making one-time network changes that ultimately make the network harder to maintain, manage, and automate.

Automation and management of network infrastructure should not be treated as add-ons or secondary projects. Budgeting for personnel and tools is crucial. It is common for tooling to be cut first during budget shortages.

Deterministic outcomes

An enterprise organization’s change review meeting examines upcoming network changes, their impacts on external systems, and rollback plans. Typing the wrong command can have catastrophic consequences in a world where humans use the CLI. Many different teams can work together, whether they are three-person teams, four-person teams, or fifty-person teams. Every engineer can implement that upcoming change differently. A CLI and GUI do not eliminate or reduce the possibility of error during a change control window.

The executive team will be able to achieve deterministic outcomes by automating the network, which increases the chances that the task will be completed correctly the first time by making changes manually rather than automating the network. Changing VLANs to onboard a new customer may be necessary, which requires several network changes.

The Traditional CLI

Software companies that build automation for network components have an assumption that traditional management platforms don’t apply to what is considered to be the modern network. Networks are complex and contain many moving parts and ways to be configured. So, what does it mean to automate the contemporary network when considering brownfield network automation? Innovation in this area has been lacking for so long until now with ansible automation.

If you have multi-vendor equipment and can’t connect to all those devices, breaking into the automation space is complex, and the command line interface (CLI) will live a long life. This has been a natural barrier to entry for innovation in the automation domain.

Automation with Ansible

But now we have the Ansible architecture using Ansible variables, NETCONF, and many other standard modeling structures that allow automation vendors to communicate to all types of networks, such as brownfield networks, greenfield networks, multi-vendor networks, etc. These data modeling tools and techniques enable an agnostic programmable viewpoint into the network.

The network elements still need to move to a NETCONF-type infrastructure, but we see all major vendors, such as Cisco, moving in this direction. Moving off the CLI and building programmable interfaces is a massive move for network programmability and open networking.

For pre-information, visit the following.

  1. Network Configuration Automation
  2. CASB Tools
  3. Blockchain-Based Applications

Back to basics with Brownfield Network Automation

Network devices have massive static and transient data buried inside, and using open-source tools or building your own gets you access to this data. Examples of this type of data include active entries in the BGP table, OSPF adjacencies, active neighbors, interface statistics, specific counters and resets, and even counters from application-specific integrated circuits (ASICs) themselves on newer platforms. So, how do we get the best of this data, and how can automation help you here?

  • A key point: Ansible Tower

To operationalize your environment and drive automation to production, you need everything centrally managed and better role-based access. For this, you could use Ansible Tower, which has several Ansible features, such as scheduling, job templates, and a project, that help you safely enable automation in the enterprise at scale.

Ansible Red Hat

Challenges of Brownfield Automation:

Implementing network automation in a brownfield environment poses unique challenges. Legacy systems, diverse hardware, and complex configurations often hinder the seamless integration of automation tools. Additionally, inadequate documentation and a lack of standardized processes can make it challenging to streamline the automation process. However, with careful planning and a systematic approach, these challenges can be overcome, leading to significant improvements in network efficiency.

Benefits of Brownfield Network Automation:

1. Enhanced Efficiency: Brownfield Network Automation enables organizations to automate repetitive manual tasks, reducing the risk of human errors and increasing operational efficiency. Network engineers can focus on more strategic initiatives by eliminating the need for manual configuration changes.

2. Improved Agility: Automating an existing network allows businesses to respond quickly to changing requirements. With automation, network changes can be made swiftly, enabling organizations to adapt to evolving business needs and market demands.

3. Cost Savings: By automating existing networks, organizations can optimize resource utilization, reduce downtime, and improve troubleshooting capabilities. This leads to substantial cost savings regarding operational expenses and increased return on investment.

4. Seamless Integration: Brownfield Network Automation allows for integrating new technologies and services with existing network infrastructure. Businesses can seamlessly introduce new applications, services, and security measures by leveraging automation without disrupting existing operations.

5. Enhanced Network Security: Automation enables consistent enforcement of security policies, ensuring compliance and reducing the risk of human error. By automating security configurations, organizations can strengthen their network defenses and safeguard critical data.

Best Practices for Brownfield Network Automation:

1. Comprehensive Network Assessment: Conduct a thorough assessment of the existing network infrastructure, identifying areas that can benefit from automation and potential obstacles.

2. Standardization and Documentation: Establish standardized processes and documentation to ensure consistency across the network. This helps in streamlining the automation process and simplifying troubleshooting.

3. Gradual Implementation: Adopt a phased approach to brownfield automation, starting with low-risk tasks and gradually expanding to more critical areas. This minimizes disruption and allows for easy troubleshooting.

4. Collaboration and Training: Foster collaboration between network engineers and automation specialists. Training the network team on automation tools and techniques is crucial to ensure successful implementation and ongoing maintenance.

5. Continuous Monitoring and Optimization: Regularly monitor and fine-tune automated processes to optimize network performance. This includes identifying and addressing any bottlenecks or issues

Brownfield Network Automation; DevOps Tools

Generally, you have to use DevOps tools, orchestrators, and controllers to do the jobs you have always done yourself. However, customers are struggling with the adoption of these tools. How do I do the jobs I used to do on the network with these new tools? That’s basically what some software companies are focused on. From a technical perspective, some vendors don’t talk to network elements directly.

This is because you could have over 15 tools touching the network, and part of the problem is that everyone is talking to the network with their CLI. As a result, inventory is out of date, network errors are common, and CMD is entirely off, so the ability to automate is restricted based on all these prebuilt silo legacy applications. For automation to work, a limited number of elements should be talking to the network. With the advent of controllers and orchestrators, we will see a market transition.

DevOps vs. Traditional

If you look back, when we went from time-division multiplexing (TDM) to Internet Protocol (IP) address, the belief is that network automation will eventually have the same impact. The ability to go from non-programmability to programmability will represent the most significant shift we will see in the networking domain.

Occasionally, architects design something complicated when it can be done in a less complicated manner with a more straightforward handover. The architectural approach is never modeled or in a database. The design process is uncontrolled, yet the network is an essential centerpiece.

There is a significant use case for automating and controlling the design process. Automation is an actual use case that needs to be filled, and vendors have approached this in various ways. It’s not a fuzzy buzzword coming out of Silicon Valley. Intent-based networking? I’m sometimes falling victim to this myself. Is intent-based networking a new concept?

OpenDaylight (ODL)

I spoke to one vendor building an intent-based API on top of OpenDaylight (ODL). An intent-based interface has existed for five years, so it’s not a new concept to some. However, there are some core requirements for this to work: It has to be federated, programmable, and modeled.

Some have hijacked intent-based to a very restricted definition, and an intent-based network has to consist of highly complex mathematical algorithms. Depending on who you talk to, these mathematical algorithms are potentially secondary for intent-based networking.

OpenDaylight (ODL)

Diagram: OpenDaylight (ODL): Network Automation.

One example of an architectural automation design is connecting to the northbound interface like Ansible. These act as trustworthy sources for the components under their management. You can then federate the application programming interface (API) and speak NETCONF, JSON, and YAML types. This information is then federated into a centralized platform that can provide a single set of APIs into the IT infrastructure.

So if you are using ServiceNow, you can request a through a catalog task. That task will then be patched down into the different subsystems that tie together that service management or device configuration. It’s a combination of API federation data modeling and performing automation.

The number one competitor of these automation companies is users who still want to use the CLI or vendors offering an adapter into a system. Yet these are built on the foundation of CLIs. These adapters can call a representational state transfer (REST) interface but can’t federate it.

This will eventually break. You need to make an API call to the subsystem in real time. As networking becomes increasingly dynamic and programmable, federated API is a suitable automation solution.

Brownfield Automation

Brownfield Network Automation offers a powerful opportunity for organizations to unlock the full potential of existing network infrastructure. By embracing automation, businesses can enhance operational efficiency, improve agility, and achieve cost savings. While challenges may exist, implementing best practices and taking a systematic approach can pave the way for a successful brownfield automation journey. Embrace the power of automation and revolutionize your network for a brighter future.

Summary: Brownfield Network Automation

In the ever-evolving world of technology, network automation has emerged as a game-changer, revolutionizing the way organizations manage and optimize their networks. While greenfield networks have been quick to adopt automation, brownfield networks present unique challenges with their existing infrastructure and complexities. This blog post explored the importance of brownfield network automation, its benefits, and practical strategies for successful implementation.

Understanding Brownfield Networks

Brownfield networks refer to existing network infrastructures that have been operating for some time. These networks often comprise a mix of legacy systems, diverse hardware and software vendors, and complex configurations. Unlike greenfield networks, which start from scratch, brownfield networks require a thoughtful approach to automation that considers their specific characteristics and limitations.

The Benefits of Brownfield Network Automation

Automating brownfield networks brings a plethora of benefits to organizations. Firstly, it enhances operational efficiency by reducing manual tasks, minimizing human errors, and streamlining network configurations. Automation also enables faster deployment of network services and facilitates scalability, allowing businesses to adapt swiftly to changing demands. Moreover, it improves network reliability and security by enforcing consistent configurations and proactively detecting and mitigating potential vulnerabilities.

Strategies for Successful Brownfield Network Automation

Successfully automating brownfield networks requires a well-planned approach. Here are some key strategies to consider:

1. Comprehensive Network Assessment: Begin by conducting a thorough assessment of the existing network infrastructure, identifying potential bottlenecks, legacy systems, and areas for improvement.

2. Define Clear Objectives: Establish specific automation goals and define key performance indicators (KPIs) to measure the effectiveness of the automation efforts. This clarity will guide the automation process and ensure alignment with business objectives.

3. Prioritize and Start Small: Identify critical network functions or processes that can benefit the most from automation. Start with smaller projects to build confidence, gain experience, and demonstrate the value of automation to stakeholders.

4. Choose the Right Automation Tools: Select automation tools compatible with the existing network infrastructure and provide the required functionality. Integration capabilities, ease of use, and vendor support should be key factors in the selection process.

5. Collaboration and Training: Foster collaboration between network operations and IT teams to ensure a smooth transition towards automation. Provide comprehensive training to enhance the skills of network engineers and equip them with the knowledge needed to manage and maintain automated processes effectively.

Conclusion:

In conclusion, brownfield network automation holds immense potential for organizations seeking to optimize their network infrastructure. By understanding the unique challenges of brownfield networks, recognizing the benefits of automation, and implementing the right strategies, businesses can unlock improved operational efficiency, enhanced reliability, and increased agility. Embracing automation is not just a trend but a crucial step towards achieving a future-ready network infrastructure.