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Amazon EKS v1.29 using Rafay

Our recent release update in Feb to our Preview environment adds support for a number of new features and enhancements. We will write about the other new features in separate blogs. This blog is focused on our turnkey support for Amazon EKS v1.29.

Both new cluster provisioning and in-place upgrades of existing EKS clusters are supported. As with most Kubernetes releases, this version also deprecates and removes a number of features. To ensure there is zero impact to our customers, we have made sure that every feature in the Rafay Kubernetes Operations Platform has been validated on this Kubernetes version.

This release will be promoted from Preview to Production in a few days and will be made available to all customers.

Note that no action is needed on the part of our SaaS customers with the new release. Once the rollout is completed, all they need to do is learn about the new features and determine how and when they would like to use them.

In-place Upgrades to Amazon EKS v1.28 Clusters using Rafay

In our recent release, we added support for in-place upgrades of EKS clusters based on Kubernetes v1.28.

Our customers have shared with us that they would like to provision new EKS clusters using new Kubernetes versions so that they do not have to plan/schedule for Kubernetes upgrades for these clusters right away. As a result, we generally introduce support for new cluster provisioning for the new Kubernetes version first and then follow up with support for zero touch in-place upgrades.

Note

Organizations that wish to perform sophisticated checks for API deprecation etc are strongly recommended to use Rafay's Fleet Operations for Amazon EKS.

Infrastructure Templates for Generative AI on AWS

We constantly hear from our customers about wanting their developers to experiment with Generative AI. No organization wants to be left behind and they are all trying to find ways to empower their developers and application teams to be able to experiment with use cases powered especially by Generative AI.

According to recent Gartner research, >80% of enterprises will have used Generative AI APIs or Deployed Generative AI-Enabled Applications by 2026.

We have been listening to our customers and are happy to announce Rafay's Templates for AI & Generative AI. Platform teams can now provide their developers with a self service experience for Gen AI infrastructure enabling developers to experiment with new and innovative Generative AI use cases.

Gen AI Logo

IPv6 Only Amazon EKS Clusters using Rafay

As the demand for IP addresses continues to grow, the Internet is rapidly running out of available IPv4 addresses. This has led to the adoption of IPv6, which provides a much larger pool of IP addresses. By using IPv6, organizations can ensure that they have enough IP addresses for their containerized applications, without running into address exhaustion issues.

Our most recent release to our Preview environment adds support for the creation of IPv6 Only Amazon EKS Clusters. This update streamlines the process of establishing Amazon EKS clusters with IPv6 only configuration, making it easier for you to harness the advantages of IPv6 networking without dealing with complexities.

Amazon EKS v1.28 Cluster Provisioning using Rafay

In our recent release, we added support for new EKS cluster provisioning based on Kubernetes v1.28.

Kubernetes v1.28

Customers have shared with us that they would like to provision new EKS clusters using new Kubernetes versions so that they do not have to plan/schedule for Kubernetes upgrades for these clusters right away. For the last few releases, we have introduced support for new cluster provisioning for the new Kubernetes version first and then follow up with support for zero touch in-place upgrades.

Important

Please review our support matrix for additional details on supported Kubernetes version by provider and k8s distribution.

In-place Upgrades to Amazon EKS v1.27 Clusters using Rafay

In our recent release, we added support for in-place upgrades of your EKS clusters provisioning based on Kubernetes v1.27.

Our customers have shared with us that they would like to provision new EKS clusters using new Kubernetes versions so that they do not have to plan/schedule for Kubernetes upgrades for these clusters right away. As a result, we generally introduce support for new cluster provisioning for the new Kubernetes version first and then follow up with support for zero touch in-place upgrades.

Note

Organizations that wish to perform sophisticated checks for API deprecation etc are strongly recommended to use Rafay's Fleet Operations for Amazon EKS.

Amazon EKS v1.27 Clusters using Rafay

In our recent release, we added support for new EKS cluster provisioning based on Kubernetes v1.27.

Kubernetes v1.27

Customers have shared with us that they would like to provision new EKS clusters using new Kubernetes versions so that they do not have to plan/schedule for Kubernetes upgrades for these clusters right away. For the last few releases, we have introduced support for new cluster provisioning for the new Kubernetes version first and then follow up with support for zero touch in-place upgrades.

AWS Cross Account Support for EKS LCM in Rafay

Our recent release update in July to our Preview environment adds support for a number of new features and enhancements. This blog is focused on Cross Account Role ARN Support for Amazon EKS.

In July 2023, Rafay introduced a new feature to its Kubernetes Operations Platform: Cross Account Role ARN support for Amazon Elastic Kubernetes Service (EKS). This feature is designed to cater organizations that operate multiple AWS accounts, providing a seamless and efficient way to manage EKS clusters across these accounts. In this blog post, we'll delve into the significance of this enhancement, explore its use cases, and understand how it simplifies EKS cluster management across multiple AWS accounts.

Cross Account Support

Amazon EKS v1.26 Clusters using Rafay

In our recent release in May, we added support for a number of new features and enhancements. One of these was support for new EKS cluster provisioning based on Kubernetes v1.26.

Customers have shared with us that they would like to provision new EKS clusters using new Kubernetes versions so that they do not have to plan/schedule for Kubernetes upgrades for these clusters right away. On the other hand, they want to be extremely careful with their existing clusters and plan/test in-place upgrades for these. There is no benefit in rushing this and impacting mission critical applications etc.

Based on this feedback, starting this release, we plan to introduce support for new Kubernetes versions for CSPs (i.e. EKS, AKS and GKE) in two phases. In the first phase, which will come very quickly, we will support new cluster provisioning for the new Kubernetes version. This requires us to extensively validate support for ALL supported interfaces in the platform (See details below). We will follow up with a Phase 2 which will bring support for zero touch in-place upgrades.

Important

Support for zero touch, in-place upgrades in Rafay from EKS v1.25 to v1.26 will follow in a few weeks. This requires us to add support for new preflight tests etc and perform extensive testing and validation.

Amazon EKS v1.25 using Rafay

Our recent release update in May to our Preview environment adds support for a number of new features and enhancements. We will write about the other new features in separate blogs. This blog is focused on our turnkey support for Amazon EKS v1.25.

Both new cluster provisioning and in-place upgrades of existing EKS clusters are supported. As with most Kubernetes releases, this version also deprecates and removes a number of features. To ensure there is zero impact to our customers, we have made sure that every feature in the Rafay Kubernetes Operations Platform has been validated on this Kubernetes version.

This release will be promoted from Preview to Production in a few days and will be made available to all customers.

Note that no action is needed on the part of our SaaS customers with the new release. Once the rollout is completed, all they need to do is learn about the new features and determine how and when they would like to use them.