Infamous DevOps roadmap
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Kubernetes Open Source Limits & Requests Configuration Optimization
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This article provides a step-by-step guide on using Kexa, an open-source tool for optimizing Kubernetes resource limits and requests through monitoring and alerting, with Grafana for visualization. It explains how to install Kexa using Helm, set up necessary credentials, connect it to databases like Postgres or MySQL, and configure rules to monitor CPU and memory consumption. It then walks through the setup of a Grafana dashboard to display and optimize pod performance.
A guide to modern Kubernetes network policies
In Kubernetes, network policies are rules that control traffic flow between pods in a cluster. They define which traffic is allowed to enter (ingress), exit (egress), or move between pods, helping secure communication within the cluster. These policies fall into two categories based on the OSI model: Layer 4 (L4) policies, which control traffic using IP addresses and ports, and Layer 7 (L7) policies, which offer finer control at the application level (e.g., HTTP routes). By combining both, Kubernetes can implement robust, zero-trust security models.
Using Python Virtual Environments in Docker
The author explains that despite the trend of simplifying Python Docker workflows by avoiding virtual environments, they continue using them for several key reasons. Virtual environments provide predictability, a well-defined structure, and consistency across projects, which simplifies communication and management in team environments. By isolating the Python environment, it helps prevent complex import issues and makes the codebase more reliable and easier to debug.
How to terminate Go programs elegantly – a guide to graceful shutdowns
By handling termination signals like SIGTERM, Go applications can stop accepting new requests while allowing in-flight processes to finish, utilizing tools such as `signal.NotifyContext` and `sync.WaitGroup` to manage concurrency. This approach helps maintain data integrity and smooth operations during shutdowns, particularly in orchestrated environments where unexpected terminations can otherwise lead to issues.