Curated articles, resources, tips and trends from the DevOps World.
The release of the Open Source Initiative’s definition of open source AI at the end of October was supposed to be a milestone of consensus building.
The cloud brought with it its fair share of security challenges, expanding the attack surface well beyond the static perimeter protections of the web application firewall, network IP-based rule, and infrastructure layer configurations.
The traditional way to enable things hosted in different clouds to talk to each other has been to order a physical cross-connect (a literal cable) from a colo provider that hosts the clouds’ “onramps” (private connections to the clouds’ networks) to link them.
In the rapidly evolving tech landscape, the roles of Platform Engineers and DevOps Engineers have garnered significant attention.
APIs have long been the backbone of modern software systems, architectures, and businesses. They now dominate the web, accounting for 71% of all internet traffic.
In our previous article on AI agents, we explored how to create a basic AI agent with a persona using system prompts. Now, we’ll delve into three crucial enhancements that make our agents more sophisticated and effective: instructions, tasks, and conversation memory.
Is there a better development model than open source software? One man thinks so — and ironically, it’s the same man who wrote the original open source definition back in 1997.
Not even five years ago, if someone said to me that Fedora was a Linux distribution that anyone could use, I would have smirked and pointed them toward Ubuntu, elementary OS, Zorin OS, or Linux Mint.
In my years of experience as a software engineer, I have worked on various projects. In most cases, I relied on automated testing. I adhered to the testing pyramid, where unit and integration tests formed the majority, requiring only a few end-to-end and user acceptance tests (UAT).
The open source and CNCF incubating project Backstage has become a central piece of many companies’ platform engineering toolkits. And for good reasons.
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