Curated articles, resources, tips and trends from the DevOps World.
When I became a programmer many moons ago, the last thing I ever thought I’d need to know about was intellectual property (IP) law. Oh well, more fool me.
Most modern software is built on a standard three-tier architecture — sometimes referred to as the REST architecture — composed of a client, an API server that exposes APIs that the client calls, and a database.
Nothing lasts forever, and this especially true in open source software. Even the most popular versions of open source technologies will one day reach their end-of-life (EOL).
“Despite all our unit and integration tests passing, we’re seeing a lot of broken flows in staging. Teams spend days debugging there.” This confession from a VP of engineering at a fintech company with more than 100 microservices captures a familiar frustration.
Over the past couple of years, there has been extensive discussion of how generative AI can benefit DevOps practitioners.
By using a Docker image, it is not only possible to deploy one container after another, it’s quite easy. Once you’ve pulled the image from a registry (such as Docker Hub), each container can then be deployed with a single dockercommand.
Discover how to identify and manage blockers in DevOps to ensure smooth workflows and enhance team productivity.
The software industry stands at a crossroads. The rise of supply-chain attacks over the past decade has left an indelible mark on the industry.
Why is observability so expensive for organizations? There are a lot of culprits, but a core problem is that traditional observability tools were never meant to be used to track systems with the complexity and scale of modern cloud native architecture, according to Christine Yen, co-founder and CEO
The recent boom in artificial intelligence gives us a fascinating glimpse of future possibilities, such as the emergence of agentic AI and powerful multimodal AI systems that have also become increasingly mainstream.
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