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VMware Avi Load Balancer Introduces New Features

VMware's Avi Load Balancer, a software-defined load balancer (LB) for hybrid clouds that delivers a distributed architecture with built-in automation and deep application visibility, has added the following new features:

VCF Private Cloud Applications: Plug-and-play operating model for VCF, delivering LB self-service through integration with Aria Automation, formerly vRealize Automation (vRA).

Kubernetes Applications: As an ingress LB, Avi’s software defined and elastic architecture is suited for the distributed and dynamic nature of container workloads. Avi’s advantages include:

- Gateway API is a next gen Kubernetes ingress, significantly reducing the need for customizations via annotations and custom resource definitions (CRDs), and also future proofs customers for Kubernetes and serverless workloads.

Mobile and 5G Applications: Avi delivers a flexible and consistent load balancing solution for a broad set of telecom and mobile use cases:

- Natively multi-tenant, now delivering ~3X higher multi-tenancy with VCF and Telco Cloud Platforms (TCP).

- Full support for recently shipping TCP 4.0.

- Further enhancements to software-defined IPv6 load balancer (with decoupled IPv6 control and distributed data planes) for on-prem and cloud.

Legacy LB to Avi Conversion Tool: To simplify and speed-up Avi deployments in brownfield environments, we are announcing the Avi Conversion Tool. The tool:
- discovers legacy LBs
- extract configurations
- converts legacy LB configurations and custom rules (e.g. iRules) to Avi
- deploys configurations on AviThis tool will accelerate legacy-to-Avi migrations delivered by our professional services team.

Self-Service Load Balancing for VCF Private Cloud: Avi Load Balancer is a load balancer for VCF, fully integrated and supported with plug-and-play ease of use. Avi provides application visibility to help a VCF admin rapidly troubleshoot and root cause application performance issues within minutes. Customers who want to enable self-service capabilities to DevOps teams find legacy load balancers unbearable as it takes weeks to provision, requiring many manual steps and multiple tickets. Avi’s integration with Aria Automation offers application teams self-service access to L4-L7 load balancing services (see blog: Enabling Load Balancing as a Service for VCF-based Private Cloud). This enables application and infrastructure teams to immediately deploy load balancing at the time of application provisioning, with minimal know-how of load balancing technology or the need to create manual tickets. The integration helps customers lower operational cost, simplify and automate the provisioning and capacity management of load balancing. Watch this short demo video to see how easy it is to enable load balancing as a service using Aria Automation.

Boost Avi Load Balancer Multi-tenancy by ~3X: Avi Load Balancer has made significant improvements on performance and scale, boosting multi-tenancy support by nearly 3X. Customers can now manage more Avi Service Engines (load balancers) for every Avi Controller deployed. Each controller can support up to 800 Tier-1 routers for VMware NSX-T Cloud. Customers not only have fewer controllers to manage, but save significant operational costs compared to legacy load balancers. As a result, the same team can manage more tenants, so productivity is enhanced. VMware Cloud Service Providers, formerly VMware Cloud Provider Program (VCPP), leverage Avi Load Balancer to streamline cloud operations and elevate service offerings.

Avi for Ingress Load Balancing of Kubernetes and Serverless Workloads: To keep pace with the speed of application deployment and deliver enterprise-grade load balancing and ingress solutions, Avi Load Balancer offers the ideal architecture for container workloads with built-in ingress security.

Avi offers integrated ingress services which include ingress controller, load balancing, multi-cluster global server load balancing (GSLB), WAF, application analytics in a single platform. For customers who have deployed Avi for their virtualized workloads, it’s an easy extension onto the Kubernetes workloads with the same user interface, consistent workflows and policies. Avi is agnostic to container platforms and supports VMware Tanzu, RedHat OpenShift, Tanzu Application Service (TAS, previously Pivotal Cloud Foundry) and more. Avi Load Balancer is introducing general availability (GA) support for Gateway API in the AKO 1.12.1 release. Avi adds advanced L7 routing functionalities including serverless Kubernetes support, header modification, cookie insertion, and a key set of HTTProute functionalities. Avi offers advanced traffic routing, better scale and observability on a per route basis, without the need for CustomResourceDefinition (CRDs) or annotations.

Extending Software-Defined Approach to Mobile and 5G Applications: With the distributed IPv6 support enabled by Avi’s unique software-defined architecture and Telco Cloud Platform 4.0 support, VMware Avi Load Balancer continues to offer a broad set of use cases from 4G VM workloads nad Virtual Network Functions (VNFs) to 5G container workloads and container network functions (CNFs). A large telco customer first deployed Avi in their corporate IT network for its cloud-like experience. Impressed by its ease of use and application analytics, the network team introduced Avi to its core telco team, who decided to extend Avi into the Telco Cloud Platform that enables 5G network for Kubernetes workloads. From an operations perspective, it’s exactly the same platform for both environments, making it extremely easy to train staff and collaborate on resolving application issues that can involve multiple teams. Multi-tenancy has been a key requirement for telco use cases and the scale has been greatly enhanced with the release. Avi provides granular rule-based access control (RBAC) to different tenants and teams.

Legacy Load Balancer to Avi Conversion Tool: To make it easier to migrate off legacy load balancer hardware appliances and accelerate the journey onto VCF private cloud, Avi Load Balancer is announcing the initial availability (IA) of an UI-based conversion tool that takes legacy policy rules, converts configurations into built-in Avi features as well as into Avi DataScript (a Lua-based scripting language). Customers break the chain off legacy load balancers, from convoluted box-by-box configurations to simple policy management from a centralized dashboard.

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VMware Avi Load Balancer Introduces New Features

VMware's Avi Load Balancer, a software-defined load balancer (LB) for hybrid clouds that delivers a distributed architecture with built-in automation and deep application visibility, has added the following new features:

VCF Private Cloud Applications: Plug-and-play operating model for VCF, delivering LB self-service through integration with Aria Automation, formerly vRealize Automation (vRA).

Kubernetes Applications: As an ingress LB, Avi’s software defined and elastic architecture is suited for the distributed and dynamic nature of container workloads. Avi’s advantages include:

- Gateway API is a next gen Kubernetes ingress, significantly reducing the need for customizations via annotations and custom resource definitions (CRDs), and also future proofs customers for Kubernetes and serverless workloads.

Mobile and 5G Applications: Avi delivers a flexible and consistent load balancing solution for a broad set of telecom and mobile use cases:

- Natively multi-tenant, now delivering ~3X higher multi-tenancy with VCF and Telco Cloud Platforms (TCP).

- Full support for recently shipping TCP 4.0.

- Further enhancements to software-defined IPv6 load balancer (with decoupled IPv6 control and distributed data planes) for on-prem and cloud.

Legacy LB to Avi Conversion Tool: To simplify and speed-up Avi deployments in brownfield environments, we are announcing the Avi Conversion Tool. The tool:
- discovers legacy LBs
- extract configurations
- converts legacy LB configurations and custom rules (e.g. iRules) to Avi
- deploys configurations on AviThis tool will accelerate legacy-to-Avi migrations delivered by our professional services team.

Self-Service Load Balancing for VCF Private Cloud: Avi Load Balancer is a load balancer for VCF, fully integrated and supported with plug-and-play ease of use. Avi provides application visibility to help a VCF admin rapidly troubleshoot and root cause application performance issues within minutes. Customers who want to enable self-service capabilities to DevOps teams find legacy load balancers unbearable as it takes weeks to provision, requiring many manual steps and multiple tickets. Avi’s integration with Aria Automation offers application teams self-service access to L4-L7 load balancing services (see blog: Enabling Load Balancing as a Service for VCF-based Private Cloud). This enables application and infrastructure teams to immediately deploy load balancing at the time of application provisioning, with minimal know-how of load balancing technology or the need to create manual tickets. The integration helps customers lower operational cost, simplify and automate the provisioning and capacity management of load balancing. Watch this short demo video to see how easy it is to enable load balancing as a service using Aria Automation.

Boost Avi Load Balancer Multi-tenancy by ~3X: Avi Load Balancer has made significant improvements on performance and scale, boosting multi-tenancy support by nearly 3X. Customers can now manage more Avi Service Engines (load balancers) for every Avi Controller deployed. Each controller can support up to 800 Tier-1 routers for VMware NSX-T Cloud. Customers not only have fewer controllers to manage, but save significant operational costs compared to legacy load balancers. As a result, the same team can manage more tenants, so productivity is enhanced. VMware Cloud Service Providers, formerly VMware Cloud Provider Program (VCPP), leverage Avi Load Balancer to streamline cloud operations and elevate service offerings.

Avi for Ingress Load Balancing of Kubernetes and Serverless Workloads: To keep pace with the speed of application deployment and deliver enterprise-grade load balancing and ingress solutions, Avi Load Balancer offers the ideal architecture for container workloads with built-in ingress security.

Avi offers integrated ingress services which include ingress controller, load balancing, multi-cluster global server load balancing (GSLB), WAF, application analytics in a single platform. For customers who have deployed Avi for their virtualized workloads, it’s an easy extension onto the Kubernetes workloads with the same user interface, consistent workflows and policies. Avi is agnostic to container platforms and supports VMware Tanzu, RedHat OpenShift, Tanzu Application Service (TAS, previously Pivotal Cloud Foundry) and more. Avi Load Balancer is introducing general availability (GA) support for Gateway API in the AKO 1.12.1 release. Avi adds advanced L7 routing functionalities including serverless Kubernetes support, header modification, cookie insertion, and a key set of HTTProute functionalities. Avi offers advanced traffic routing, better scale and observability on a per route basis, without the need for CustomResourceDefinition (CRDs) or annotations.

Extending Software-Defined Approach to Mobile and 5G Applications: With the distributed IPv6 support enabled by Avi’s unique software-defined architecture and Telco Cloud Platform 4.0 support, VMware Avi Load Balancer continues to offer a broad set of use cases from 4G VM workloads nad Virtual Network Functions (VNFs) to 5G container workloads and container network functions (CNFs). A large telco customer first deployed Avi in their corporate IT network for its cloud-like experience. Impressed by its ease of use and application analytics, the network team introduced Avi to its core telco team, who decided to extend Avi into the Telco Cloud Platform that enables 5G network for Kubernetes workloads. From an operations perspective, it’s exactly the same platform for both environments, making it extremely easy to train staff and collaborate on resolving application issues that can involve multiple teams. Multi-tenancy has been a key requirement for telco use cases and the scale has been greatly enhanced with the release. Avi provides granular rule-based access control (RBAC) to different tenants and teams.

Legacy Load Balancer to Avi Conversion Tool: To make it easier to migrate off legacy load balancer hardware appliances and accelerate the journey onto VCF private cloud, Avi Load Balancer is announcing the initial availability (IA) of an UI-based conversion tool that takes legacy policy rules, converts configurations into built-in Avi features as well as into Avi DataScript (a Lua-based scripting language). Customers break the chain off legacy load balancers, from convoluted box-by-box configurations to simple policy management from a centralized dashboard.

The Latest

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...