Open Source Go Build Tools for Mac

Built on the simple mechanics of resources, tasks, and jobs, Concourse presents a general approach to automation that makes it great for CI/CD. Concourse is designed to be expressive, versatile, and safe, remaining intuitive as the complexity of your project grows. A Concourse pipeline is like a distributed, continuous Makefile. Each job has a build plan declaring the job's input resources and what to run with them when they change. Your pipeline is then visualized in the web UI, taking only one click to get from a failed job to seeing why it failed. The visualization provides a "gut check" feedback loop: if it looks wrong, it probably is wrong. Jobs can depend on other jobs by configuring passed constraints. The resulting chain of jobs and resources is a dependency graph that continuously pushes your project forward, from source code to production.

Testing distributed systems under hard failures like network partitions and instance termination is critical, but it's also important we test them under less catastrophic conditions because this is what they most often experience. Comcast is a tool designed to simulate common network problems like latency, bandwidth restrictions, and dropped/reordered/corrupted packets. It works by wrapping up some system tools in a portable(ish) way. On BSD-derived systems such as OSX, we use tools like ipfw and pfctl to inject failure. On Linux, we use iptables and tc. Comcast is merely a thin wrapper around these controls. Windows support may be possible with wipfw or even the native network stack, but this has not yet been implemented in Comcast and may be at a later date. On Linux, Comcast supports several options: device, latency, target/default bandwidth, packet loss, protocol, and port number.

Origin, also known as OKD is the community distribution of Kubernetes that has been optimized for continuous application development and multi-tenant deployment. It adds developer and operations-centred tools to Kubernetes to speed up application development and simplify deployment, scaling, as well as long-term lifecycle maintenance. It also makes it easier to launch Kubernetes on any cloud or bare metal and run and update clusters, while providing all the necessary tools for creating successful containerized applications.