This is part of a blog series on AI/Machine Learning. In the previous blog , we discussed Jupyter Notebooks, how they are different and the challenges organizations run into at scale with it.
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Jupyter Notebook is open-source software created and maintained by the Jupyter community . A Jupyter notebook allows for the creation and sharing of documents with code and rich text elements .
As part of our early March 2024 release, we opened up Rafay’s Generative AI based Copilot to our customers. For the folks that are active readers of our product blogs, you will recognize that this is the result of a GenAI focused Hackathon we ran in late 2023.
It is a well understood fact on Kubernetes that there is a significant amount of wastage of expensive cloud/infrastructure because of over provisioned applications. In this blog, we will look at how app developers and platform teams can save their organizations millions of dollars by right-sizing their applications using a free , open-source tool appropriately called resize that we recently developed for our customers.
We frequently get asked by users that are currently on AWS whether they should be using Amazon ECS or EKS to deploy and operate their containerized applications. Since this is such a common question and the answers are somewhat nuanced, we wanted to share our thoughts and recommendations for the benefit of all users.
Last week, HashiCorp announced that they would be adopting the Business Source License for future releases of its products. In this blog, we describe how and if this impacts Rafay customers.
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.
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.
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.
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.
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.
A few weeks back in early April 2023, we upgraded our Preview environment to v1. 24 of the Rafay Kubernetes Operations Platform.
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 .
We just rolled out "enhancements'' and "new functionality" from our upcoming v1. 24 release to our Preview environment.
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.
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.
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.
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.
Earlier this year, AWS added support for Kubernetes v1. 23 for their Amazon EKS offering.
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.
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.
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?
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".