Curated articles, resources, tips and trends from the DevOps World.
At its annual GPU Technology Conference (GTC) developer event today, Nvidia is announcing two new cloud services based on Large Language Models (LLM) technology.
The sexiest job title of the decade, data scientist, has spawned about a dozen equally sexy but somewhat confusing and overlapping job titles. The primary offshoot of a data scientist is a data engineer.
How do you onboard new developers? What do you need to have in place to, for example, ensure that any new developer can safely and comfortably get their hands on a pull request on Day 1? Effective onboarding is a challenge for many cloud native organizations and their engineering teams.
Life comes down to moments. These events are often how we define our achievements, successes, and failures throughout life. Just like our daily lives, IT organizations and teams can also have these defining moments, where you will often hear phrases like the "great database crash of '98.
Developers and companies have more database choices than ever. Choosing the right database for a project saves time when writing and querying data. As companies work with larger datasets to make increasingly intelligent and automated systems, efficiency is key.
Enterprise messaging giant Slack has modernized its build platform, forgoing the individual Jenkins clusters for a more standardized model to improve developer efficiency and user experience.
We will go over NodeJS WordPress Guide. Did you know that you can use Javascript/NodeJS to manage your WordPress posts?
I am pleased to announce the availability of local clusters for Amazon Elastic Kubernetes Service (Amazon EKS) on AWS Outposts. It means that starting today, you can deploy your Amazon EKS cluster entirely on Outposts: both the Kubernetes control plane and the nodes.
I think we often do a great job of flogging the dead horse of whiteboarding problems when giving coding interview advice. Heck, that’s what I’ve dedicated the entirety of Boot.dev to.
What are the differences between Kubernetes data protection and the more traditional data protection offerings, even though such products deal with virtualization and cloud scenarios as well as traditional on-premises data protection?
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