Curated articles, resources, tips and trends from the DevOps World.
Spending time in Florence, Italy, you see the results of brilliant Renaissance innovators. Look at Leonardo DaVinci: he was not only a brilliant painter and sculptor but also an innovative scientist and engineer. Remarkably, he taught himself all of these disciplines.
As businesses and technology push boundaries, staying ahead often means finding more innovative, faster ways to get work done. Enter agentic workflows, a revolutionary approach to task automation that empowers systems to analyze, decide and execute tasks independently.
When Jeaye Wilkerson started working on creating a new programming language about a decade ago, he sought to build a general-purpose programming language that embraced the interactive, value-oriented nature of Clojure as well as the desire for native compilation and minimal runtimes.
Last week I posted about coming off the cloud, and this week I’m looking at running an open source LLM locally on my Mac. If this feels like part of some “cloud repatriation” project, it isn’t: I’m just interested in tools I can control to add to any potential workflow chain.
Engineers from the Chinese social media conglomerate ByteDance are taking early advantage of a recently released feature of the Linux kernel called netkit that provides a faster way for containers to communicate with each other across a cluster. First released in Linux kernel 6.
Nvidia stockholders have about $400 billion less in their pockets today thanks to the open source efforts of a Chinese AI startup company called DeepSeek. And OpenAI, as well as the other commercial AI model providers, might have to rethink their business models.
Replicate has a very simple premise: run and share machine learning models in the cloud, using containers technology. Sound familiar? That may be because Replicate’s founder and CEO, Ben Firshman, was previously the creator of Fig, which was acquired by Docker and then became Docker Compose.
Vector databases, an important component within AI-driven architectures, have gained a lot of popularity with the advent of mainstream AI and large language models (LLMs). In the most basic terms, vector databases are databases that allow the storage and retrieval of vectors.
It’s easy to understand why so many teams have turned to Amazon DynamoDB since its introduction in 2012. It’s simple to get started, especially if your organization is already entrenched in the AWS ecosystem. It’s relatively fast and scalable, with a low learning curve.
When we talk about artificial intelligence, what we’re really talking about is using computers to automate human intelligence.
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