Curated articles, resources, tips and trends from the DevOps World.
As it stands today, observability tools aren’t accessible to everyone. Open standards do their part to ease interoperability and reduce vendor lock-in, but taking the time to sufficiently understand and adopt many different standards is its own challenge.
I’ve tested several IDEs over the years, many of which offer the same tried and true features you’d expect in such a tool. Many of those IDEs are highly functional and help to make the development process flow with ease. Some of them even add AI into the mix.
Containers are one of the building blocks of cloud native computing. They are similar to, but much more lightweight than, earlier VMs such as those offered by VMware. Containers are immutable, so if you need to make a change, you have to create a new container.
In a survey last year, observability and security professionals reported a 250% year-over-year increase in logs alone. This isn’t surprising to those working with containerized apps in clusters across clouds — these types of systems emit so much data.
Amazon Web Services launched Amazon EKS Auto Mode at re:Invent 2024, and a new feature aims to simplify Kubernetes cluster management by automating key tasks, allowing users to focus on deploying and managing applications instead of grappling with infrastructure complexities.
Something is rotten in the state of APIs. Then again, it could just be atrophy. In the 15 years since Kin Lane founded API Evangelist, little about API management has changed.
Ambassador Labs sponsored this post. Insight Partners is an investor in Ambassador Labs and TNS. Developers know what makes them happy: working on interesting problems with high-quality tools, few disruptions and collaborating with their peers.
As AI continues to drive rapid innovation in software development, a reliable runtime environment for real-time testing is essential to promote high-quality code generation.
During this past AWS re:Invent, Amazon CEO Andy Jassy shared valuable lessons learned from Amazon’s own experience developing nearly 1,000 generative AI applications across the company.
Infrastructure as Code (IaC) has gone through fascinating shifts over the years. The evolution of infrastructure management has been a story of constant iteration, shaped by the needs of scaling systems, velocity and safety metrics a lá DORA, and the demands of developer productivity.
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