Stateful KES for AI/ML Workloads

Stateful KES for AI/ML Workloads

Implementing KES within Kubernetes in a stateful configuration ensures the persistence of encryption keys through pod lifecycle events and restarts. This setup offers resilience especially in environments where relying on external KMS is not an option or preferred.

Read more...

Make it Rain: How Repatriating Your Public Cloud Workload Can Deliver Millions in Savings

Make it Rain: How Repatriating Your Public Cloud Workload Can Deliver Millions in Savings

The phenomenon of the public cloud is difficult to get your arms around. Since AWS kicked it off early in the century it has grown and evolved into a modern computing platform - creating the cloud operating model as we know it. Ironically, this standardization around the cloud as an operating model is the one of the reasons that cloud

Read more...

The World is Software Defined - as Proven by a Hardware Company

The World is Software Defined - as Proven by a Hardware Company

It is hard to believe that it was 13 years ago that Marc Andressen penned his famous blog entitled “Software is Eating the World.” In it he spoke of the disruption that modern software organizations were inflicting on traditional businesses. Thirteen years later, even in the face of stratospheric valuations for Nvidia, software continues to eat the world. The evidence

Read more...

Improve RAG Performance with Open-Parse Intelligent Chunking

Improve RAG Performance with Open-Parse Intelligent Chunking

If you are implementing a generative AI solution using Large Language Models (LLMs), you should consider a strategy that uses Retrieval-Augmented Generation (RAG) to build contextually aware prompts for your LLM. An important process that occurs in the preproduction pipeline of a RAG-enabled LLM is the chucking of document text so that only the most relevant sections of a document

Read more...

Control Cloud Data Costs with MinIO on Equinix

Control Cloud Data Costs with MinIO on Equinix

The public cloud changed the way companies build, deploy and manage their applications - mostly for the better. As you’re getting started, the public cloud supplies the infrastructure, services, enablement and maintenance to be up and running quickly. It provides ultimate scalability, in almost unlimited fashion, up and down, to provide you with the necessary resources no matter the

Read more...

The Architect’s Guide: A Modern Datalake Reference Architecture

The Architect’s Guide: A Modern Datalake Reference Architecture

An abbreviated version of this post appeared on The New Stack on March 26th, 2024. Businesses aiming to maximize their data assets are adopting scalable, flexible, and unified data storage and analytics approaches. This trend is driven by enterprise architects tasked with crafting infrastructures that align with evolving business demands. A Modern Datalake architecture addresses this need by integrating the

Read more...

Architect’s Guide to a Reference Architecture for an AI/ML Datalake

Architect’s Guide to a Reference Architecture for an AI/ML Datalake

An abbreviated version of this post appeared on The New Stack on March 19th, 2024. In enterprise artificial intelligence, there are two main types of models: discriminative and generative. Discriminative models are used to classify or predict data, while generative models are used to create new data. Even though Generative AI has dominated the news of late, organizations are still

Read more...