OpenvSwitch Performance

OpenvSwitch Performance

In today's rapidly evolving digital landscape, network performance is a crucial aspect for businesses and organizations. To meet the increasing demands for scalability, flexibility, and efficiency, many turn to OpenvSwitch, an open-source virtual switch that provides advanced network capabilities. In this blog post, we will explore the various ways OpenvSwitch enhances network performance and the benefits it offers.

OpenvSwitch, also known as OVS, is a software-based switch that enables network virtualization and software-defined networking (SDN). It operates at the data link layer and allows for the creation of virtual networks, connecting virtual machines and containers across physical hosts. OVS offers a range of features, including VLAN tagging, tunneling protocols, and flow-based forwarding, making it a powerful tool for network administrators.

Improved Network Throughput: One of the key advantages of OpenvSwitch is its ability to enhance network throughput. By leveraging hardware offloading capabilities and utilizing multiple CPU cores efficiently, OpenvSwitch can handle higher traffic volumes with reduced latency. Additionally, OVS supports advanced packet processing techniques, such as DPDK (Data Plane Development Kit), which further improves performance in high-speed networking scenarios.>

Dynamic Load Balancing: Another notable feature of OpenvSwitch is its support for dynamic load balancing. OVS intelligently distributes network traffic across multiple physical or virtual links, ensuring efficient utilization of available resources. This load balancing capability helps to prevent network congestion, optimize network performance, and improve overall system reliability.

Network Monitoring and Analytics: OpenvSwitch provides comprehensive network monitoring and analytics capabilities. It supports integration with monitoring tools like sFlow and NetFlow, allowing administrators to gain insights into network traffic patterns, identify bottlenecks, and make informed decisions for network optimization. Real-time visibility into network performance metrics enables proactive troubleshooting and facilitates better network management.

Conclusion: OpenvSwitch is a powerful tool for enhancing network performance in modern computing environments. With its advanced features, including improved throughput, dynamic load balancing, and robust monitoring capabilities, OpenvSwitch empowers network administrators to optimize their infrastructure for better scalability, efficiency, and reliability. By adopting OpenvSwitch, organizations can stay ahead in the ever-evolving world of networking.

Highlights: OpenvSwitch Performance

The virtual world of networking

Virtualization requires an understanding of how virtual networking works. Without virtual networking, justifying the costs would be very difficult. You can run multiple virtual machines using a virtualization host, each with its dedicated physical network port. By implementing virtual networking, we can consolidate networking in a more manageable way regarding cost and administration. We can use an approximate metaphor if you are familiar with VMware-based networking – Open vSwitch is similar to vSphere Distributed Switch.

The implementation of Open vSwitch consists of the kernel module (the data plane) and the user-space tools (the control panel). The data plane was moved into the kernel to process incoming data packets as fast as possible. The switch daemon implements and manages several OVS switches using the Netlink socket.

There is no specific SDN controller

Unlike VMware’s NSX and vSphere distributed switches, Open vSwitch has no specific SDN controller to manage its capabilities. Several NSX components are used, including vCenter. OVS controls an SDN controller from another company that uses the OpenFlow protocol using ovs-vswitchd. The OVSDB server maintains a switch table database that external clients can access via JSON-RPC. The persistent database ovsdb, designed to survive restarts, currently has around 13 tables.

Many clients prefer VMware’s NSX approach to SDN and Open vSwitch. VMware’s integration with OpenStack and NSX integration with Linux-based KVM hosts (via Open vSwitch and additional agents) can be beneficial. As an example of the use of Open vSwitch-based technologies in NSX, there are things such as hardware VTEP integration through Open vSwitch Database, GENEVE networks being extended to KVM hosts using Open vSwitch/NSX integration, etc.

OVS Performance

Bridges and Flow Rules

Open vSwitch is a software switch commonly seen in Open Networking used to connect physically to virtual interfaces. When considering OpenvSwitch’s performance, it uses virtual bridges and flow rules to forward packets and consists of several switches, including provider, integration, and tunnel bridge. Each virtual switch has a different role in the network—the tunnel bridge creates the overlay, and the integration switch is the leading connectivity bridge.

OVS Bridge

The terms bridge and switch are used interchangeably with Neutron networking. The OVS bridge has user actions issued in userspace and a set of flows programmed in the Linux kernel with match criteria and actions. The kernel module is where all the packet processing occurs, similar to an ASIC on a standard physical/hardware switch.

The OVS has its daemon as the userspace element, running in userspace, controlling how the kernel gets programmed. It also uses an Open vSwitch Database Server (OVSDB), a network configuration protocol.

For additional information, you may find the following helpful:

  1. ACI Cisco 
  2. OpenFlow Protocol
  3. Network Functions
  4. Testing Packet Loss
  5. Neutron Networks
  6. OpenStack Neutron 
  7. OpenStack Neutron Security Groups



OpenvSwitch Performance.

Key OpenvSwitch Performance  Discussion points:


  • Introduction to OpenvSwitch Performance.

  • Discussion on Stateless vs stateful functionality.

  • Integrations with OpenvSwitch.

  • NetFilter Framework.

Back to Basics With OVS

Highlighting the OVS

OVS is an essential part of networking in the OpenStack cloud. Open vSwitch is not a part of the OpenStack project. However, OVS is used in most implementations of OpenStack clouds. It has also been integrated into other virtual management systems, including OpenQRM, OpenNebula, and oVirt. Open vSwitch can support protocols such as OpenFlow, GRE, VLAN, VXLAN, NetFlow, sFlow, SPAN, RSPAN, and LACP. In addition, it can work in distributed configurations with a central controller.

1. High Throughput: OpenvSwitch is known for its high throughput capabilities, which allow it to handle a large volume of network traffic without compromising performance. By leveraging hardware offloading and advanced flow processing techniques, OpenvSwitch ensures optimal packet processing and forwarding, reducing latency and maximizing network efficiency.

2. Flexible Load Balancing: Load balancing is crucial in modern networks to distribute traffic evenly across multiple network paths, preventing congestion and maximizing network utilization. OpenvSwitch supports various load balancing algorithms, including Layer 2, Layer 3, and Layer 4 load balancing, enabling organizations to achieve efficient traffic distribution and enhance network performance.

3. Scalability: OpenvSwitch provides excellent scalability, allowing organizations to expand their network infrastructure seamlessly. With OpenvSwitch, network administrators can easily add new virtual machines, containers, or hosts without disrupting the overall network performance. This flexibility ensures that organizations can adapt to changing network requirements without compromising performance.

4. Network Virtualization: OpenvSwitch supports network virtualization, enabling the creation of virtual network overlays. These overlays help improve network agility and efficiency by allowing organizations to isolate and manage different network segments independently. By leveraging OpenvSwitch’s network virtualization capabilities, organizations can optimize network performance and enhance network security.

5. Integration with SDN Controllers: OpenvSwitch can seamlessly integrate with Software-Defined Networking (SDN) controllers, such as OpenDaylight and OpenStack, providing centralized network management and control. This integration allows organizations to automate network provisioning, configuration, and optimization, improving network performance and operational efficiency.

6. Monitoring and Analytics: OpenvSwitch offers extensive monitoring and analytics capabilities, allowing organizations to gain valuable insights into network performance and traffic patterns. By leveraging these features, network administrators can identify bottlenecks, optimize network configurations, and proactively address performance issues, improving network efficiency.

Highlighting OpenvSwitch Performance

Linux Networking Subsystem

Initially, OpenvSwitch’s performance was good with steady-state traffic. The kernel was multithreaded, so established flows performed excellently. However, specific traffic patterns would give OpenvSwitch a headache and degrade its performance.

For example, peer-to-peer applications initiating many quickly generated connections would hit it poorly.

This is because the kernel contained recently cached flows, and when a packet that wasn’t an exact cache match would result in a cache miss and get sent to userspace. In addition, continuous user-kernel space interaction kills performance.

Unlike the kernel, userspace is single-threaded and does not have the performance to process large amounts of packets or set up connections quickly.

They needed to improve the OpenvSwitch performance of the connection setup. So they added Megaflow and wildcard entries in the kernel, made userspace multithreaded, and introduced various enhancements to the classifier. They have spent much time putting mega flows in the kernel and don’t want to undo all that good work. This is a foundation design principle to support stateful service and connection tracking implementation. Anything they add to Open vSwitch must not affect performance.  

Stateless vs. stateful functionality

It’s an excellent stateless flow-forwarding device and supports finer-grained flow fields, but there is a gap in supporting stateful services. They are currently expanding their feature set to include stateful connection tracking, stateful inspection firewall, and deep packet inspection services.

The current matching enables you to match IP and port numbers. Nothing higher up the application stack, such as application ID, is used. Stateless services offer better protection than stateless services as it delves deeper into the packet.

What is a stateless function?

Stateless means once a packet arrives, the device can only affect what’s currently in that packet. It looks at the headers and bases the policy on those it just inspected. Evaluation is performed on packet contents statically and is unaware of any data patterns.

Typically, stateless inspects the following elements within a packet – source/destination IP, source/destination port, and protocol type. No additional Layer 3 or 4 inspection, such as TCP control flags, sequence numbers, and ACK fields, is carried out.

For example, if the requirement involves matching on a TCP window parameter, stateless tracking won’t be able to track if packets are within a specific window. Regarding Network Address Translation (NAT), performing stateless translation from one IP address to another is possible, as well as adjusting the MAC address for external forwarding, but it won’t handle anything complicated.

Today’s security requires more advanced filtering than Layer 3 and 4 headers. The stateful function watches everything end-to-end and knows precisely the TCP connection’s stage. This enables more detailed information than source/destination IP or port numbers. 

Connection tracking is fundamental to the stateful virtual firewall and supports enhanced NAT functionality. We need to consider when traffic is based on sessions and filter according to other parameters, such as a connection’s state.

The stateful inspection goes deeper and tracks every connection, examining the packet headers and the application layer information in the payload. Stateful devices can determine if a connection has been negotiated, reset, established, and closed.

In addition, it provides complete protection against many high-level attacks by allowing administrators to be specific with their filtering, such as not allowing the peer-to-peer (P2P) application to be transferred over HTTP tunnels.

Traditionally, Open vSwitch has two stateless approaches to firewalling:

Match on TCP flags

The ability to match on TCP flags and enforce policy on the SYN packets, permitting ALL ACK and RST. This approach gains in performance due to cached entries existing in the kernel. Keeping as much as possible in the kernel limits cache misses and user space interaction.

What it gains in performance is what it lacks in security. It is not very secure, as you allow ANY packet with an ACK or RST bit set. It will enable non-established flows through with ACT or RST set. An attacker could quickly probe with a standard TCP port scanning tool, sending an ACK in and examining received responses. 

Use the “learn” action.

The Open vSwitch ovs-vswitchd process default acts like a standard bridge and learns MAC addresses. It will continue to connect to the controller in the background, and when it succeeds, it will stop acting like a traditional MAC-learning switch. The userspace element maintains MAC tables and generates flows with matches and actions. This allows new OpenFlow rules to be inserted into userspace.

When a packet arrives, it gets pushed to userspace, and the userspace function uses the “learn” action to create the reverse of the five tuples, inserting a new flow into the OpenFlow table. The process comes at a performance cost and is not as quick as having an existing connection. It forces every new flow into userspace.

These methods are sufficient for some network requirements but don’t carry out any deep actions on TCP to ensure there are no overlapping segments, for example. In addition, they cannot inspect related flows to support complex protocols like FTP and SIP, which have different flows for data and control.

The control channel negotiates with the remote end of the data flow configuration. For example, the client initiates a TCP port 21 control connection with FTP. The remote FTP server then opens up a data socket on port 20.

OpenvSwitch Performance: Contract integration with Open vSwitch

The Open vSwitch team proposes using the conntrack module in Linux to enable stateful services. This is an alternative to using Linux Bridge with IPtables. 

Contract stores the state of all connections and informs the Netfilter framework of the connection state. Transit packets are connection tracked in the PRE_ROUTING chain, and anything locally generated is performed in the OUTPUT chain. Packets may have four userland states: NEW, ESTABLISHED, RELATED, and INVALID. Outside of the userland state, we have packet states in the kernel; for example, TCP SYN_SENT lets us know we have only seen a TCP SYN in one direction.

If the conntrack sees one SYN packet, it considers the packet new. Once it sees a return TCP SYN/ACK, it thinks the connection is established, and data can be transmitted. Once a return packet is received, the packet state changes to ESTABLISHED in the PRE_ROUTING chain of the nat table.

The Open vSwitch can call into the kernel connection tracker. This will allow stateful tracking of flows and also the support of Application Layer Gateway (ALG) to punch holes for related “data” channels needed for protocols like FTP and SIP.

Netfilter Framework

A fundamental part of connection tracking is the Netfilter framework. The Netfilter framework provides a variety of functionalities – packet selection, packet filtering, connection tracking, and NAT. In addition, the Netfilter framework enables callbacks in the packet traversing the network stack.

These callbacks are known as Netfilter hooks, which enable an operation on the packet. The essence of Netfilter is the ability to activate hooks.

They are called upon at distinct points along with packet traversal in the kernel. The five points in the network stack where you can implement hooks include NF_INET_PRE_ROUTING, NF_INET_LOCAL_IN, NF_INET_FORWARD, NF_INET_POST_ROUTING, NF_INET_LOCAL_OUT. Once a packet comes in and passes initial tests ( checksum, etc.), they are passed to the Netfilter framework NF_IP_PRE_ROUTING hook.

Once the packet passes this code, a routing decision is made. If locally destined, the Netfilter framework is called for the NF_IP_LOCAL_IN or externally forwarded via the NF_IP_FORWARD hook. The packet finally goes to the NF_IP_POST_ROUTING before being placed on the wire for transmission. 

Netfilter conntrack integration

Packets arrive at the Open vSwitch flow table and are sent to Netfilter connection tracking. This is the original Linux connection tracker; it hasn’t changed. The connection tracking table enforces the flow and TCP window sizes and makes the flow state available to the Open vSwitch table—NEW, ESTABLISHED, etc. Now, it gets sent back to the Open vSwitch flow tables with the connection bits set. 

Connection tracking allows tracking to set 5 tuples and store some information within the datapath. It exposes generic concepts about those connections or whether they are parts of a related flow, like FTP or SIP.

This functionality enables the steering of microflows based on a policy, whether the packet is part of a NEW or ESTABLISHED flow state, rather than simply applying a policy based on IP or port number. 

OpenvSwitch is an excellent choice for organizations looking to enhance their network performance. Its high throughput, flexible load balancing, scalability, network virtualization, integration with SDN controllers, and monitoring capabilities make it a powerful tool for optimizing network efficiency. By leveraging OpenvSwitch’s performance-enhancing features, organizations can ensure a smooth and efficient network infrastructure that meets their growing demands.

Summary: OpenvSwitch Performance

OpenvSwitch, a virtual switch designed for multi-server virtualization environments, has gained significant popularity due to its flexibility and scalability. In this blog post, we explored OpenvSwitch’s performance aspects and capabilities in enhancing network efficiency and throughput.

Understanding OpenvSwitch Performance

OpenvSwitch is known for efficiently handling large amounts of network traffic. It achieves this through various performance-enhancing features such as flow offloading, hardware acceleration, and parallel processing. OpenvSwitch can reduce CPU overhead and boost overall network performance by offloading flows to the hardware.

Optimizing OpenvSwitch for Maximum Throughput

Several optimization techniques can be employed to achieve maximum throughput with OpenvSwitch. One key aspect is tuning the datapath. By adjusting parameters like buffer sizes, packet queues, and interrupt coalescing, administrators can fine-tune OpenvSwitch to match the specific requirements of their network environment. Additionally, leveraging hardware offloading capabilities and optimizing flow rules can enhance performance.

Benchmarks and Performance Testing

Measuring and benchmarking OpenvSwitch’s performance is crucial to understanding its capabilities and identifying potential bottlenecks. Through rigorous performance testing, administrators can gain insights into packet forwarding rates, latency, and CPU utilization under different workload scenarios. This information can guide network optimization efforts and help identify areas for further improvement.

Real-World Use Cases and Success Stories

OpenvSwitch has been widely adopted in both enterprise and cloud environments. This section will highlight real-world use cases where OpenvSwitch has demonstrated its performance prowess. From high-speed data centers to virtualized network functions, we will explore success stories that showcase OpenvSwitch’s ability to handle diverse workloads while maintaining optimal performance.

Conclusion:

OpenvSwitch proves to be a powerful tool in virtualized networks, offering exceptional performance and scalability. By understanding its performance characteristics, optimizing configurations, and conducting performance testing, administrators can unlock the full potential of OpenvSwitch and build highly efficient network infrastructures.

OpenStack written on the keyboard button

Openstack Architecture in Cloud Computing

OpenStack Architecture in Cloud Computing

Cloud computing has revolutionized businesses' operations by providing flexible and scalable infrastructure for hosting applications and storing data. OpenStack, an open-source cloud computing platform, has gained significant popularity due to its robust architecture and comprehensive services.

In this blog post, we will explore the architecture of OpenStack and how it enables organizations to build and manage their own private or public clouds.

At its core, OpenStack comprises several interconnected components, each serving a specific purpose in the cloud infrastructure. The architecture follows a modular approach, allowing users to select and integrate the components that best fit their requirements.

OpenStack architecture is designed to be modular and scalable, allowing businesses to build and manage their own private or public clouds. At its core, OpenStack consists of several key components, including Nova, Neutron, Cinder, Glance, and Keystone. Each component serves a specific purpose, such as compute, networking, storage, image management, and identity management, respectively.

Highlights: OpenStack Architecture in Cloud Computing

OpenStack: The cloud operation system

Cloud operating systems such as OpenStack are best viewed as public and private clouds, respectively. In this era of cloud computing, we are moving away from virtualization and software-defined networking (SDN). Any organization can build a cloud infrastructure using OpenStack without committing to a vendor. Despite being open source, OpenStack has the support of many heavyweights in the industry, such as Rackspace, Cisco, VMware, EMC, Dell, HP, Red Hat, and IBM. If a brand name acquires OpenStack, it won’t disappear overnight or lose its open-source status.

OpenStack is also an application and toolset that provides identity management, orchestration, and metering. Despite supporting several hypervisors, such as VMware ESXi, KVM, Xen, and Hyper-V, OpenStack is not a hypervisor. Thus, OpenStack does not replace these hypervisors; it is not a virtualization platform but a cloud management platform.

OpenStack is composed of many modular components, each of which is governed by a technical committee. OpenStack’s roadmap is determined by a board of directors driven by its community.

Openstack services

 

OpenStack Modularity

OpenStack is highly modular. Components provide specific services, such as instance management, image catalog management, network management, volume management, object storage, and identity management. A minimal OpenStack deployment can provision instances from images and connect them to networks. Identity management controls cloud access. Some clouds are only used for storage.

There is an object storage component and, again, an identity component. The OpenStack community does not refer to services by their functions, such as services, images, etc. Instead, these components are referred to by their nicknames. Server functions are officially called compute, but everyone calls them Nova. It’s pretty fitting since NASA co-founded OpenStack. Glance is the image service, Neutron is the network service, and Cinder is the volume service. Swift provides object storage, while Keystone includes identity management, which keeps everything together.

The role of decoupling

The key to cloud computing is decoupling virtual resources from physical ones. The ability to abstract processors, memory, etc., from the underlying hardware enables on-demand/elastic provisioning and increased efficiency. This abstraction process has driven the cloud and led to various popular cloud flavors such as IaaS – Infrastructure-as-as-Service, PaaS – Platform-as-as-Service, and SaaS – Software-as-as-Service, a base for OpenStack foundations.

The fundamentals have changed, and the emerging way of consuming I.T. ( compute, network, storage ) is the new “O.S.” for the data center in the cloud. The cloud cannot operate automatically and needs a management suite to control and deploy service-oriented infrastructures. Different companies deploy different teams that specialize only in managing cloud computing. Those without an in-house team get it outsourced by firms like Global Storage. 

SDN Abstraction

These platforms rely on a new networking architecture known as software-defined networking. Traditional networking relies on manual administration, and its culture is based on a manual approach. Networking gear is managed box by box, and administrators maintain singular physical network hardware and connectivity. SDN, on the other hand, abstracts the network.

The switching infrastructure may still contain physical switch components but is managed like one switch. The data plane is operated as an entire entity rather than a loosely coupled connected device. SDN approach is often regarded as a prerequisite and necessary foundation for scalable cloud computing.

SDN and OpenFlow

Related: You may find the following post of interest:

  1. OpenStack Neutron Security Groups
  2. OpenStack Neutron
  3. Network Security Components
  4. Hyperscale Networking



Openstack Architecture in Cloud Computing.

Key Openstack Architecture in Cloud Computing Discussion Points:


  • Introduction to OpenStack architecture in cloud computing and what is involved.

  • Highlighting the components of cloud computing.

  • Critical points on OpenStack foundations and operations.

  • Technical details on the use of APIs.

  • Technical details for the OpenStack deployment details.

Back to Basics: Cloud Adoption.

The adoption of cloud technology has transformed how companies run their IT services. By leveraging new strategies for resource use, several cloud solutions came into play with different categories: private, public, hybrid, and community.

OpenStack falls into the private cloud category. However, deploying OpenStack is still tricky, requiring a good understanding of its beneficial returns to a given organization regarding automation, orchestration, and flexibility.

The New Data Center Paradigm

n cloud computing, infrastructure services such as Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS) are provided. Agility, speed, and self-service are the challenges the public cloud sets. Most companies have expensive IT systems, which they have developed and deployed over the years, but these systems are siloed and require human intervention. As public cloud services become more agile and faster, IT systems struggle to keep up. Today’s agile service delivery environment may make the traditional data center model and siloed infrastructure unsustainable. To achieve next-generation data center efficiency, enterprise data centers must focus on speed, flexibility, and automation.

Fully Automated Infrastructure

Admins and operators can deploy fully automated infrastructures with a software infrastructure within a minute. Next-generation data centers reduce infrastructure to a single, significant, agile, scalable, and automated unit. The result is an infrastructure that is programmable, scalable, and multi-tenant-aware. In this regard, OpenStack stands out as the next generation of data center operating systems. Several sizeable global cloud enterprises, such as VMware, Cisco, Juniper, IBM, Red Hat, Rackspace, PayPal, and eBay, have benefited from OpenStack. Many are running a private cloud based on OpenStack in their production environment. Your IT infrastructure should use OpenStack if you wish to be a part of an innovative, winning cloud company.

The main components of OpenStack are:

While different services cater to various needs, they follow a common theme in their design:

  • In OpenStack, Python is used to develop most services, making it easier for them to be developed rapidly.

  • REST APIs are available for all OpenStack services. The APIs are the primary communication interfaces for other services and end users.

  • Different components may be used to implement the OpenStack service. A message queue communicates between the service components and has several advantages, including queuing requests, loose coupling, and load distribution.

1. Nova: Nova is the compute service responsible for managing and provisioning virtual machines (VMs) and other instances. It provides an interface to control and automate the deployment of instances across multiple hypervisors.

2. Neutron: Neutron is a networking service that enables the creation and management of virtual networks within the cloud environment. It offers a range of networking options, including virtual routers, load balancers, and firewalls, allowing users to customize their network configurations.

3. Cinder: Cinder provides block storage to OpenStack instances. It allows users to create and manage persistent storage volumes, which can be attached to cases for data storage. Cinder supports various storage backends, including local disks and network-attached storage (NAS) devices.

4. Swift: Swift is an object storage service that provides scalable and durable storage for unstructured data. It enables users to store and retrieve large amounts of data, making it suitable for applications that require high scalability and fault tolerance.

5. Keystone: Keystone serves as the identity service for OpenStack, providing authentication and authorization mechanisms. It manages user credentials and assigns access rights to the various components and services within the cloud infrastructure.

6. Glance: Glance is an image service that enables users to discover, register, and retrieve virtual machine images. It provides a catalog of images that can be used to launch instances, making it easy to create and manage VM templates.

7. Horizon: Horizon is the web-based dashboard for OpenStack, providing a graphical user interface (GUI) for managing and monitoring the cloud infrastructure. It allows users to perform administrative tasks like launching instances, managing networks, and configuring security settings.

These components work together to provide a comprehensive cloud computing platform that offers scalability, high availability, and efficient resource management. OpenStack’s architecture is designed to be highly modular and extensible, allowing users to add or replace components per their specific requirements.

Additional Details on OpenStack Components

Keystone

Architecturally, Keystone is the most straightforward service in OpenStack. OpenStack’s core component provides an identity service that enables tenant authentication and authorization. By authorizing communication between OpenStack services, Keystone ensures that the correct user or service can access the requested OpenStack service. Keystone integrates with numerous authentication mechanisms, including usernames, passwords, tokens, and authentication-based systems. It can also be integrated with existing backends like Lightweight Directory Access Protocol (LDAP) and Pluggable Authentication Module (PAM).

Swift

Swift is one of the storage services that OpenStack users can use. REST APIs provide access to its object-based storage service. Object storage differs from traditional storage solutions, such as file shares and block-based access, in that it treats data as objects that can be stored and retrieved. An overview of Object Storage can be summarized as follows. In the Object Store, data is split into smaller chunks and stored in separate containers. A cluster of storage nodes maintains redundant copies of these containers to provide high availability, auto-recovery, and horizontal scalability.

Cinder

Another way to provide storage to OpenStack users may be to use the Cinder service. This service manages persistent block storage, which provides block-level storage for virtual machines. Virtual machines can use Cinder raw volumes as hard drives.

Some of the features that Cinder offers are as follows:

  • Volume management: This allows the creation or deletion of a volume

  • Snapshot management: This allows the creation or deletion of a snapshot of volumes

  • Attaching or detaching volumes from instances

  • Cloning volumes

  • Creating volumes from snapshots 

  • Copy of images to volumes and vice versa

Like Keystone services, Cinder features can be delivered by orchestrating various backend volume providers, such as IBM, NetApp, Nexenta, and VMware storage products, through configurable drivers.

Manila

As well as the blocks and objects we discussed in the previous section, OpenStack has had a file-share-based storage service called Manila since the Juno release. Storage is provided as a remote file system. Unlike Cinder, it is similar to the Storage Area Network (SAN) service as opposed to the Network File System (NFS) we use on Linux. The Manila service supports NFS, SAMBA, and CIFS as backend drivers. The Manila service orchestrates shares on the share servers.

Glance

An OpenStack user can launch a virtual machine from the Glance service based on images and metadata. Depending on the hypervisor, various image formats are supported. With Glance, you can access images for KVM/Qemu, XEN, VMware, Docker, etc.

When you’re new to OpenStack, you might wonder, What’s the difference between Glance and Swift? Both handle storage. How do they differ? What is the need for such a solution?

Swift is a storage system, whereas Glance is an image registry. In contrast, Glance keeps track of virtual machine images and their associated metadata. Metadata can include kernels, disk images, disk formats, etc. Glance uses REST APIs to make this information available to OpenStack users. Images can be stored in Glance utilizing a variety of backends. Directories are the default approach, but other methods, such as NFS and Swift, can be used in massive production environments.

In contrast, Swift is a storage system. This solution allows you to store data such as virtual disks, images, backup archiving, and more.

As an image registry, Glance serves as a resource for users. Glance focuses on an architectural approach to storing and querying image information via the Image Service API. In contrast, storage systems typically offer highly scalable and redundant data stores, whereas Glance allows users (or external services) to register virtual disk images. You, as a technical operator, must find the right storage solution at this level that is cost-effective and performs well.

OpenStack Features

    • Scalability and Elasticity

OpenStack’s architecture enables seamless scalability and elasticity, allowing businesses to allocate and manage resources dynamically based on their needs. By scaling up or down on demand, organizations can efficiently handle periods of high traffic and optimize resource utilization.

    • Multi-Tenancy and Isolation

One of OpenStack’s standout features is its robust multi-tenancy support, which enables the creation of isolated environments for different users or projects within a single infrastructure. This ensures enhanced security, privacy, and efficient resource allocation across various departments or clients.

    • Flexible Deployment Models

OpenStack offers a variety of deployment options, including private, public, and hybrid clouds. This flexibility allows businesses to choose the most suitable model based on their specific requirements, whether maintaining complete control over their infrastructure or leveraging the benefits of public cloud providers.

    • Comprehensive Service Catalog

With an extensive service catalog, OpenStack provides a wide range of services such as compute, storage, networking, and more. Users can quickly provision and manage these services through a unified dashboard, simplifying the management and deployment of complex infrastructure components.

    • Open and Vendor-Agnostic

OpenStack’s open-source nature ensures vendor-agnosticism, allowing organizations to choose hardware, software, and services from various vendors. This eliminates the risk of vendor lock-in and fosters a competitive market, driving innovation and cost-effectiveness.

OpenStack Architecture in Cloud Computing

OpenStack Fundations and Origins

OpenStack Foundations is a software platform for orchestrating and automating data center environments. It provides APIs enabling users to create virtual machines, network topologies, and scale applications to business requirements. It does not just let you control your cloud; you may make it available to customers for unique self-service and management.

It’s a collection of projects (each with a specific mission) to create a shared cloud infrastructure maintained by a community. It enables any organization type to build its public or private cloud stack. A key differentiator from OpenStack and other platforms is that it’s open-source, run by an independent community continually updating and reviewing publicly accessible information. The key to its adoption is that customers do not fear vendor lock-in.

The pluggable framework is supported by multiple vendors, allowing customers to move away from the continuous path of yearly software license renewal costs. There is real momentum behind it. The lead-up to OpenStack and cloud computing started with Amazon Web Service (AWS) in 2006. They offered a public IaaS and virtual instances with an API. However, there was no SLA or data guarantee, so research academies mainly used it.

NASA and Rackspace

Historically, OpenStack was founded by NASA and Rackspace. NASA was creating a project called Nebula, which was used for computing. Rackspace was involved in a storage project ( object storage platform ) called Cloud Files. The two projects mentioned above led to a community of collaborating developers working on open projects and components.

There are plenty of vendors behind it and across the entire I.T. stack. For servers, we have Dell and H.P.; Storage consists of NetApp and SolidFire; Networking has Cisco and Software with VMware and IBM.

Initially, OpenStack foundations started with three primary services: NOVA computer service, SWIFT storage service, and GLANCE virtual disk image service. Soon after, many additional services, such as network connectivity, were added. The initial implementations were simple, providing only basic networking via Linux Layer 2 VLANs and IPtables.

Now, with the Neutron networks, you can achieve a variety of advanced topologies and rich network policies. Most networking is based on tunneling ( GRE or VXLAN ). Tunnels are used within the hypervisor, so it fits nicely with multi-tenancy. Tunnels are created between the host over the Layer 3 network within the hypervisor. As a result, tenancy V.M.s can spin up where they want and communicate over the tunnel.

What is an API?

The application programming interface ( API ) is the engine under the cloud hood. The messenger takes requests, tells the systems what you want to do, and then returns the response to you—ultimately creating connectivity.

openstack foundations

Each core project (compute, network, etc.) will expose one or more HTTP/RESTful interfaces for public or managed access. This is known as a Northbound REST API. Northbound API faces some programming interfaces. It conceptualizes lower-level detail functions. Southbound faces the forwarding plane and allows components to communicate with a lower-level part.

For example, a southbound protocol could be OpenFlow or NETCONF. Northbound and southbound are software directions from the reference point of the network operating systems. We now have an East-West interface. At the time of writing, this protocol is not fully standardized, but eventually, it will be used to communicate between federations of controllers for state synchronization and high availability.

OpenStack Architecture: The Foundations

  1. OpenStack Compute – Nova is comparable to AWS EC2. She is used to provisioning instances for applications.
  2. OpenStack Storage – Swift is comparable to AWS S3. Provides object storage functions for application objects.
  3. OpenStack Storage – Cinder is comparable to AWS Elastic Block Storage. Provides persistent block storage functions for stateless instances.
  4. OpenStack Orchestration – Heat is comparable to AWS Cloud formation. Orchestrates deployment of cloud services
  5. OpenStack Networking—Neutron Network is comparable to AWS VPC and ELB. It creates networks, topologies, ports, and routers.

There are others, such as Identity, Image Service, Trove, Ceilometer, and Sahara.

Each OpenStack foundation component has an API that can be called from either CURL, Python, or CLI. CURL is a command-line tool that lets you send HTTP requests and receive responses. Python is a widely used programming language within the OpenStack ecosystem. It automates scripts to create and manage resources in your OpenStack cloud. Finally, command-line interfaces (CLI) can access and send requests to APIs.

OpenStack Architecture & Deployment

OpenStack has a very modular design, and the diagram below displays key OpenStack components. Logically, it can be divided into three groups: a) Control, b) Network, and c) Compute. All of the features use a database or a message bus. The database can either be MySQL, MariaDB, or PostgreSQL. The message bus can be RabbitMQ, Qpid, and ActiveMQ.

The messaging and database could run on the same control node for small or DevOps deployments but could be separated for redundancy. The cloud controller on the left consists of numerous components, which are often disaggregated into separate nodes. It is the logical interface to the cloud and provides the API service.

Openstack Deployment

The network controller includes the networking service Neutron. It offers an API for orchestrating network connectivity. Extension plugins provide additional network services such as VPNs, NAT, security firewalls, and load balancing. Generally, it is separate from the cloud controller, as traffic may flow through it. The compute nodes are the instances. This is where the application instances are deployed. 

Leverage vagrant 

Vagrant is a valuable tool for setting up Dev OpenStack environments to automate and build virtual machines ( with OpenStack ). It’s a wrapper around a virtualization platform, so you are not running the virtualization in Vagrant. The Vagrant V.M. gives you a pure environment to work with as it isolates dependencies from other V.M. applications. Nothing can interfere with the V.M., offering a full testing scope. An excellent place to start is Devstack. It’s the best tool for setting up small single-node non-production/testing installs.

Summary: OpenStack Architecture in Cloud Computing

In the fast-evolving world of cloud computing, OpenStack has emerged as a powerful open-source platform that enables efficient management and deployment of cloud infrastructure. Understanding the architecture of OpenStack is essential for developers, administrators, and cloud enthusiasts alike. This blog post delved into the various components and layers of OpenStack architecture, providing a comprehensive overview of its inner workings.

Section 1: OpenStack Components

OpenStack comprises several key components, each serving a specific purpose in the cloud infrastructure. These components include:

1. Nova (Compute Service): Nova is the heart of OpenStack, responsible for managing and provisioning virtual machines (VMs) and controlling compute resources.

2. Neutron (Networking Service): Neutron handles networking functionalities, providing virtual network services, routers, and load balancers.

3. Cinder (Block Storage Service): Cinder offers block storage capabilities, allowing users to attach and manage persistent storage volumes to their instances.

4. Swift (Object Storage Service): Swift provides scalable and durable object storage, ideal for storing large amounts of unstructured data.

Section 2: OpenStack Architecture Layers

The OpenStack architecture is structured into multiple layers, each playing a crucial role in the overall functioning of the platform. These layers include:

1. Infrastructure Layer: This layer comprises the physical hardware resources such as servers, storage devices, and switches that form the foundation of the cloud infrastructure.

2. Control Layer: The control layer comprises services that manage and orchestrate the infrastructure layer. It includes components like Nova, Neutron, and Cinder, which control and coordinate resource allocation and network connectivity.

3. Application Layer: At the topmost layer, the application layer consists of software applications and services that run on the OpenStack infrastructure. These can range from web applications to databases, all utilizing the underlying resources OpenStack provides.

Section 3: OpenStack Deployment Models

OpenStack offers various deployment models to cater to different needs and requirements. These models include:

1. Public Cloud: OpenStack is operated and managed by a third-party service provider in a public cloud deployment, offering cloud services to multiple organizations or individuals over the internet.

2. Private Cloud: A private cloud deployment involves setting up an OpenStack infrastructure exclusively for a single organization. It provides enhanced security and control over data and resources.

3. Hybrid Cloud: A hybrid cloud deployment combines both public and private clouds, allowing organizations to leverage the benefits of both models. This provides flexibility and scalability while ensuring data security and control.

Conclusion:

OpenStack architecture is a complex yet robust framework that powers cloud computing environments. Understanding its components, layers, and deployment models is crucial for effectively utilizing and managing OpenStack infrastructure. Whether you are a developer, administrator, or simply curious about cloud computing, exploring OpenStack architecture opens up a world of possibilities for building scalable and efficient cloud environments.