The Compose specification. Contribute to compose-spec/compose-spec development by creating an account on GitHub.

Kubernetes 1.25 brings 40 enhancements, Pod Security Control replacing PSPs, Checkpoints for forensic analysis… Discover more!

I won’t introduce Dependabot. Lots and lots of developers use it daily on GitHub. I do use it as well. However, it suffers from two drawbacks: While it’s perfectly integrated with GitHub, integrations with other platforms are less seamless.It’s limited in…

Reliably lighten the Kubernetes Troubleshooting and Monitoring Workload for your DevOps and Developers.

Docker Compose is an excellent optimization tool for development and production. Learn best practices for Docker Compose

gProfiler is a system-wide profiler, combining multiple sampling profilers to produce unified visualization of what your CPU is spending time on. - Granulate/gprofiler

By continuously analyzing code performance across your entire environment, you can optimize the most resource-consuming parts of your code, improve application performance, and reduce costs.

small Linux VM, ready to run containers, for macOS on ARM - GitHub - apinske/virt: small Linux VM, ready to run containers, for macOS on ARM

Threatest is a CLI and Go framework for end-to-end testing threat detection rules. - DataDog/threatest

A .NET Core global tool to display and update outdated NuGet packages in a project - dotnet-outdated/dotnet-outdated

Threatest is a CLI and Go framework for end-to-end testing of threat detection rules

Terraform is one of the most popular IaC tools available. Learn its benefits and how to use it.

The biggest mistake Kubernetes admins make with health probes is configuring the probes the same way for all apps.

Tuning TCP servers for both low latency and high WAN throughput usually involves making tradeoffs. Due to the breadth of products and variety of traffic patterns at Cloudflare, we need both. In this post, we describe how we modified the Linux kernel to optimize…

What happens when your distributed service has challenges with stampeding herds of internal requests? How do you prevent cascading failures between internal services? How might you re-architect your workflows when naive horizontal or vertical scaling reaches…

Regular blogging by Terence Eden.

Your Makefiles are full of tabs and errors.
An opinionated approach to writing (GNU) Makefiles that I learned from Ben may still be able to salvage them.