Curated articles, resources, tips and trends from the DevOps World.
I was a bit surprised to hear a recent talk by a teenager about the joys of eXtensible Stylesheet Language Transformations (XSLT). It’s an old web language, having debuted in 1998, so my initial thought was that the presenter should get out more often.
DevOps has emerged as a cornerstone of effective delivery. By marrying development (Dev) and operations (Ops), organizations can streamline processes, enhance collaboration, and accelerate application deployment.
Over the past few years, we’ve seen the meteoric growth of large language models (LLMs) that have now mushroomed into billions of parameters, making them powerful tools when it comes to tasks like analyzing, summarizing and generating text and images, or creating human-sounding chatbots.
Even in the world of technology, written language can play a surprisingly important part of our understanding of how that tech is applied. The concept of merging development and operations has been around for about 15 years now.
Redis’s decision earlier this year to shift the world’s most popular NoSQL database away from the open source licensing that earned it that popularity was met with rapid response.
Outdoor light displays are a fun holiday tradition — from simple light strings hung from the eaves to elaborate scenes that bring out your competitive spirit.
A major shift is emerging around the private cloud, with many viewing it as the quintessential infrastructure for organizations, especially those scaling globally across multiple geographical zones. One milestone reflecting this shift comes in the aftermath of Broadcom’s merger with VMware.
AWS re:Invent 2024, our flagship annual conference, is taking place Dec. 2-6, 2024, in Las Vegas. This premier cloud computing event brings together the global cloud computing community for a week of keynotes, technical sessions, product launches, and networking opportunities.
Amazon Bedrock Knowledge Bases now supports RAG evaluation (preview) – You can now run an automatic knowledge base evaluation to assess and optimize Retrieval Augmented Generation (RAG) applications using Amazon Bedrock Knowledge Bases.
When I speak to customers who are planning to migrate massive amounts of on-premises data to AWS, they tell me that they want to simplify their storage management, reduce their costs, and to make the data more accessible so that it can be used for analytics, machine learning training, genomics, and
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