Mohan Atreya

Integrated FinOps Role for Cost Management

In our June 2023 release , we added support for a new turnkey role in the Rafay Kubernetes Operations Platform specifically targeted at users in a FinOps function. This new role allows the FinOps team to access and view cost and usage data in the Rafay Kubernetes Operations Platform.

Rafay's (AI) Hackathon 2023: Product Advancements To Improve Our Customers' Experience & Our Internal Efficiencies

We just wrapped up our annual hackathon earlier this month. The theme and focus for this hackathon was AI and Generative AI and our teams had the opportunity to prototype and demonstrate fascinating solutions esp.

AI/ML Superpowers for Kubernetes Troubleshooting

In the last two blogs ( part 1 and part 2 ), we discussed the challenges customers face with running AI/ML on Kubernetes and innovative solutions to address these challenges. In this blog, we will flip this on its head and look at how AI/ML can make Kubernetes easier to use and operate.

Solutions for Key Kubernetes Challenges for AI/ML in the Enterprise - Part 2

This is part-2 of our blog series on challenges and solutions for AI/ML in the enterprise. This blog is based on our learnings over the last two years as we worked very closely with our customers that make extensive use of Kubernetes for AI/ML use cases.

Key Kubernetes Challenges for AI/ML in the Enterprise - Part 1

This blog is based on our learnings over the last two years as we worked very closely with our customers who use Kubernetes for AI/ML extensively. This is part-1 of a two-part series.

Announcing our April 2023 (v1.24) Release

A few weeks back in early April 2023, we upgraded our Preview environment to v1. 24 of the Rafay Kubernetes Operations Platform.

The Straight Stroop from KubeCon EU 2023, Amsterdam

The Rafay team had the opportunity to attend CNCF’s KubeCon Europe 2023 in Amsterdam in full force last week. As a sponsor, we spent time with 1000's of attendees helping them understand Rafay’s Kubernetes Operations Platform .

Announcing our New Preview Environment

We just rolled out "enhancements'' and "new functionality" from our upcoming v1. 24 release to our Preview environment.

Considerations for Windows Containers on Kubernetes

With the increasing adoption of Kubernetes in organizations, we are seeing interest from a number of customers that would like to deploy and operate their "legacy Windows applications" on Kubernetes as well.  In this blog, we have attempted to capture our learnings from working with customers that use the Rafay Kubernetes Operations Platform to deploy and operate Kubernetes clusters with Windows-based containerized applications.

Considerations for In-Place Upgrades to Amazon EKS v1.24

Kubernetes Cluster Insights for Platform Teams

Many customers of the Rafay Kubernetes Operations Platform are Platform Teams. In many cases, the first priority for these platform teams is to take over and standardize existing Kubernetes clusters in active use by application teams.

Takeover Lifecycle Management of Amazon EKS Clusters

We invest a lot of time training our employees, partners and customers on capabilities that are seeing a lot of inbound interest from our customers. Earlier this week, we provided "hands-on, labs-based training" for approximately 30 technologists on a very interesting "capability" in the Rafay Kubernetes Operations Platform.

New User Experience for Product Documentation

We invest a lot of time in creating and maintaining our customer-facing product documentation . Over the last few years, as we added significant width to our platform, we found ourselves in a situation where the way the content was presented especially for new users was overwhelming to them.

Considerations for In-Place Upgrades to Amazon EKS v1.23

Earlier this year, AWS added support for Kubernetes v1. 23 for their Amazon EKS offering.

Rafay Terraform Provider

Customers can interface with the Rafay Kubernetes Operations Platform via multiple approaches: Web Console/UI RCTL CLI (with declarative specs) Rafay Terraform Provider Open API Many of our customers that are standardized on the Infrastructure as Code (IaC) pattern are heavy users of HashiCorp's Terraform. They use Rafay's Terraform Provider for their automation requirements.

Integrated Cost Visibility & Governance for Kubernetes

With Rafay, you can enable visibility into costs associated with your resources in your fleet of Kubernetes clusters in just a single step. categories: Product Blog Training Cost Management Integrated Cost Visibility & Governance for Kubernetes Last week, we wrapped up "hands-on enablement" on our recently released "Integrated Cost Management" service for approximately 25 technologists.

Provisioning clusters: Spinning up cost-effective clusters for training sessions

We have been running a number of internal and external enablement sessions with partners and customers over the last few weeks to provide "hands-on, labs-based training" on some recently introduced capabilities in the Rafay Kubernetes Operations Platform. Here's what we set up for those enablement sessions: Each attendee was provided with their own Kubernetes cluster We spun up ~25 "ephemeral" Kubernetes clusters on Digital Ocean (for life of the session) We needed the clusters to be provisioned in just a few minutes for the training exercise Each attendee had their own dedicated "Project" in the Rafay Org A question that we frequently got asked after those enablement sessions was " I would love to run similar sessions with my extended team, how much did it cost to run those clusters?

Cluster Blueprints and Drift Detection

Around three years back, we noticed many of our customers struggling with enterprise-wide standardization of their Kubernetes clusters. Every cluster in their Organization was a snowflake and they were looking for a way to enforce that every cluster had a "baseline set of add-ons".

Learn Basics of Kubernetes: For Everyone

Are you an App Developer struggling to learn the basics of Kubernetes because you have no time and no access to resources that help you with this in a step-by-step manner? Background Application teams are typically extremely busy with their sprints and do not have the time or bandwidth to learn yet another thing such as Kubernetes.

Streamlining Kubernetes Operations for Amazon EKS Anywhere (EKS-A) for Bare Metal Environments

Amazon EKS Anywhere (EKS-A) now supports a deployment option to provision Kubernetes clusters on bare metal environments such as data centers. EKS Anywhere provides an installable software package for creating and managing Kubernetes clusters in data centers, along with tooling for cluster lifecycle support.

GPU-enabled AI/ML at the Edge using Kubernetes

Over the last few years, we have seen an explosion in the number of Internet-connected smart devices both on the home front as well in businesses. For example, it is very common to see Internet-connected, video surveillance cameras in retail stores.

Critical Factors for Managing Applications and Kubernetes at the Edge

Business is being driven to the network’s edge because of several advantages it provides. Autonomous vehicles, remote asset monitoring, in-hospital patient monitoring, and real-time defect detection in factories are just a few examples of business applications that leverage the responsive performance, scalability, and reduced latency found at the network edge.

Streamlining Amazon EKS Anywhere Operations with the Rafay Kubernetes Operations Platform

Amazon EKS Anywhere is a new deployment option for Amazon EKS that enables enterprises to easily create and manage Kubernetes clusters on premises, both on virtual machines (VMs) and bare metal servers. EKS Anywhere provides an installable software package for creating and managing Kubernetes clusters in data centers, along with tooling for cluster lifecycle support.

Getting Started with Amazon EKS

Kubernetes is the leading container orchestration engine. It excels in executing application containers and supports many operational aspects like scalability, self-recovery, service-discovery, secrets configuration, workload management and batch execution, rolling updates, etc.