Curated articles, resources, tips and trends from the DevOps World.
This time last year, I wrote that AI engineering in 2023 was defined by a proliferation of LLMs and an expansion of AI dev tooling. In 2024, those trends continued — but also the market for both LLMs and AI development tools matured considerably.
The week after AWS re:Invent builds on the excitement and energy of the event and is a good time to learn more and understand how the recent announcements can help you solve your challenges. As usual, we have you covered with our top announcements of AWS re:Invent 2024 post.
Today we’re going to be talking about Strings in Java. If you write Java often, you know that a String is considered a first-class object, even though it is not one of the eight primitive types. What you may not know is how to handle Strings in production applications best.
This ongoing Docker Labs GenAI series explores the exciting space of AI developer tools. At Docker, we believe there is a vast scope to explore, openly and without the hype. We will share our explorations and collaborate with the developer community in real time.
Imagine boosting developer productivity by 30% while slashing project costs by 25%. That might sound impossible, yet it’s a realistic goal for organizations that adopt FinOps (financial operations), a data-driven approach to measuring software development life-cycle (SDLC) costs.
Discover Kubernetes' strict CPU manager for enhanced performance and reliability in resource allocation for workloads.
The future of enterprise-grade AI is facing a massive challenge: data. An AI model is only as good as the data it is trained on. Building models that yield meaningful results require enormous volumes of high-quality data for training and refinement.
There are so many Linux distributions on the market, each trying to create its own take on the open-source operating system. Some of those distributions don’t really venture that far from the norm and stick with the usual options: GNOME, KDE Plasma, Xfce, Cinnamon, Budgie, MATE, etc.
Many first heard of generative AI and large language models through late 2022 headlines on ChatGPT and its incredible ability to create original content and poetry. But as technology has evolved, so too have its use cases. Today, users across industries and departments can be found leveraging AI.
Have valuable insights to share with the DevOps community? Submit your article for publication.
Get the latest DevOps news, tools, and insights delivered to your inbox.
Made with pure grit © 2026 Jetpack Labs Inc. All rights reserved. www.jetpacklabs.com