Explore the Latest Insights

8 Things To Consider When Matching A Young Tech Professional With A Mentor

As you add new IT professionals to your business, you need to remember to find ways to keep them engaged and committed. This is especially true when it comes to young professionals who can quickly prove themselves valuable, as retaining them can be challenging.

Latest Shiny Podcast: Building Applications At The Infrastructure Edge

If you know Stephen Spector and Rob Hirschfeld , you know that they are not only running a great company , they also produce one of the most interesting podcasts ( Latest Shiny Podcast ) out there. Stephen and Rob spent some time with us recently, talking through the infrastructure edge opportunity, application development methodologies that leverage edge computing, and much more.

Intel vs AMD — The Debate Is Apparently Still Raging

I walked into the office earlier this week to find a serious discussion raging amongst the engineering team. Concerned that the team had hit some technical roadblock, I skipped my customary walk to the coffee machine and instead grabbed a chair in the bullpen.

The Future of Edge Computing: Not Just for IoT

Our good friend and advisor, Debashis Saha (VP Infrastructure, Intuit ), just published a great blog in InformationWeek that underscores the Rafay Systems thesis: Edge Computing is so much more than IoT! With the continuing avalanche of computing demand and data moving compute and data closer to the user is now a necessity.

Inaugural State of The Edge" Report"

Edge computing is a tremendous new opportunity that has captured the industry’s imagination. The performance and security improvements possible at the infrastructure edge promise to fundamentally improve application performance.

When It Comes To The Edge, We Need To Think Bigger

Yes, Edge computing is a massive opportunity by any measure ($6. 7B by 2022 according to this Markets & Markets report ), but maybe we need to think bigger.

Rethinking Cloud-Native Architectures In The Age Of Multi-Cloud

As James Markarian stated in his recent Infoworld article , “[when] it comes to the cloud, best-of-breed wins. ” James also discussed how the quest for best-of-breed will drive multi-cloud adoption, giving the example of how a Microsoft-centric enterprise may choose Microsoft Azure for their apps, while choosing Google Cloud Platform (GCP) or Amazon Web Services (AWS) for data analysis jobs.

SiliconAngle & Team Rafay Discuss all Things Edge Computing

Stu Miniman with SiliconANGLE Media is one of the more vocal voices in the analyst community discussing Edge Computing use cases. Stu tends to bring a very pragmatic point of view to discussions and is an informed skeptic.

How Much Does Network Latency Really Matter?

The blog was originally published on LinkedIn . Does lower network latency make a difference to performance?

The Edge Is A Misnomer

The Edge is clearly a hot topic. And the massive number of responses to my previous blog asking whether the Edge is killing the Cloud is ample evidence of how many differing and passionate opinions exist out there.

Edge Computing is Not Killing the Cloud?

Edge computing is the next phase in the evolution of cloud-native applications and will mature to become a critical building block for all applications delivered over the Internet Application owners and operations teams clearly recognize that some workloads are best run closer to endpoints, i. e.

The Programmable Edge: Faster and Easier

At Rafay Systems we're defining the Programmable Edge . In our view, the Edge is as close as you, as an application owner, can get to your end users.

Is Your Application Cloud Native?

Here’s my litmus test to determine whether an application is cloud native: It MUST be able to run entirely on spot instances in a public cloud environment. The application must be designed such that any one instance being shut down randomly should have no material impact on the application’s core functions.

Introducing The Programmable Edge

The dynamics of the Internet are changing. Previously, data traveled primarily in one direction: to end users.

GPU PaaS (Platform-as-a-Service) for AI Inference at the Edge: Revolutionizing Multi-Cluster Environments

Enterprises are turning to AI/ML to solve new problems and simplify their operations, but running AI in the datacenter often compromises performance. Edge inference moves workloads closer to users, enabling low-latency experiences with fewer overheads, but it's traditionally cumbersome to manage GPUs (Graphics Processing Units) in distributed infrastructure.

Introducing BRAVE OSS: Provision On-Demand Bare Metal Infrastructure for Dev and Test Environments

This is an ongoing open-source project we’re donating to community as our commitment to Open Source and are looking forward to collaborating with like-minded developers and platform engineers to further the community’s goal of ubiquitous cloud-native infrastructure with plenty left to do, but we're excited to share some early details and invite others to collaborate on the BRAVE an Open Source (Bare Metal Replication And Virtualization Environment) offers a virtual , cost-efficient , convenient , automated and on-demand tool for executing use cases requiring bare metal infrastructure. Cost and complexity of bare metal deployments can be prohibitive for a number of non production use cases such as : Creating on-demand labs for conducting quick proof of concepts, demonstrations or experiments.

Simplifying AI Application Management with Kubernetes: The Rafay Advantage

Artificial Intelligence (AI) applications have revolutionized industries, but managing and scaling these complex applications – and the large language models (LLMs) powering them - can be a daunting task. This is where Rafay Systems steps in, offering a unified platform from which enterprises can streamline and automate the lifecycle of AI applications and their dependencies, enabling them to unlock the full potential of their AI initiatives.

mermaid test post

tes tetest test

MermaidJS Test

sequenceDiagram participant Admin participant AWS IAM participant Cloud Credential Admin->>AWS IAM: New Policy Note over Admin,AWS IAM: Paste Policy JSON Admin->>Cloud Credential: New Cloud Credential Cloud Credential->>Admin: Copy Account ID and External ID Admin->>AWS IAM: Create New Role Note over Admin,AWS IAM: Paste Account ID, External ID AWS IAM->>AWS IAM: Select Policy from above AWS IAM->>Admin: Copy Role ARN Admin->>Cloud Credential: Paste Role ARN Note over Admin,Cloud Credential: Cloud Credential Created #graphDiv1675815855060 . label{font-family:'trebuchet ms', verdana, arial;font-family:var(--mermaid-font-family);color:#333}#graphDiv1675815855060 .

TEST: The Ultimate Guide to Helm Charts

The declarative model of Kubernetes uses Kubernetes Objects stored in configuration files which are essentially a set of YAML files. For every version and instance of a Kubernetes application that DevOps personnel deploy and run in their environments, a set of YAML files need to be created and managed.

How to Provision and Manage Amazon’s EKS Distribution Using Rafay