Curated articles, resources, tips and trends from the DevOps World.
Like other big software innovations, platform engineering was inspired by developers and systems administrators who dreamed that there had to be better and more efficient ways to do their work.
Kubeshop sponsored this post. Insight Partners is an investor in Kubeshop and TNS. Given today’s fast-paced development practices and shift-left trend, the role of quality assurance (QA) is more essential than ever.
Last month the Open Source Initiative released its official definition for open source AI. The website notes that the definition has already been endorsed by at least 20 organizations, including Suse, Mozilla and the Eclipse Foundation. But there’s also some growing discontent.
Today, we are announcing Buy with AWS, a new way to discover and purchase solutions available in AWS Marketplace from AWS Partner sites. You can use Buy with AWS to accelerate and streamline your product procurement process on websites outside of Amazon Web Services (AWS).
Staying abreast of all the latest trends in data management, Amazon Web Services has introduced support for Apache Lakehouse tables for its S3 object storage service, as well as debuted a distributed SQL database that offers unlimited scalability with transactional-consistency and low latency.
SAN FRANCISCO — In the highly competitive sector of specialized financial IT, innovation is not just a market advantage, it’s a mandate.
Large language models are inefficient, period. That’s apparent at AWS re:Invent this week. Inference is a hot topic, and conversations center on how to make the most of LLMs, considering the cost of training and the energy consumption required.
Las Vegas — Amazon Web Services released on Tuesday three new artificial intelligence capabilities that will allow developers to more easily modernize and migrate legacy applications en masse, specifically those on Windows .NET, VMware and mainframes.
Every day, thousands of modern web applications are developed and launched, and with this proliferation comes increasing complexity. Over time, many developers encounter challenges related to optimizing application performance. Progressive hydration is one technique to address these issues.
In our ongoing series about building enterprise-ready AI agents, we’ve explored various crucial components — including personas, instructions, tasks, conversation memory, and persistence (see links above).
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 © 2025 Jetpack Labs Inc. All rights reserved. www.jetpacklabs.com