Exploring industry DevOps practices and technical expertise.
This article introduces the Kubernetes Operator pattern, explains its purpose for automating complex tasks, and provides a step‑by‑step tutorial on creating, configuring, and deploying a custom Operator using the Operator Framework, KubeBuilder, and Go, including code examples and deployment instructions.
This article provides a detailed overview of the most widely used DevOps tools across categories such as version control, CI/CD, container orchestration, configuration management, infrastructure as code, monitoring, collaboration, artifact repositories, testing, security, deployment automation, serverless, and database management, helping practitioners choose the right solutions for their pipelines.
The article explains how Kargo, an open‑source, GitOps‑based platform built on Argo CD experience, addresses the complexities of multi‑stage CI/CD pipelines in Kubernetes by providing declarative stage definitions, promotion workflows, and advanced delivery features such as canary releases and A/B testing.
This article explains how to perform data‑driven A/B testing in progressive delivery using Argo Rollouts Experiments, covering the concepts of progressive delivery, A/B testing fundamentals, the Argo Rollouts architecture, required Kubernetes resources, and step‑by‑step commands and YAML manifests for a weather‑app example.
This guide explains how to install the Weave GitOps UI and its CLI, configure HelmRelease and HelmRepository objects, access the dashboard, and then introduces Flamingo as a Flux subsystem for Argo CD, showing its installation, loopback reconciliation, and conversion of existing Flux applications.
The author announces the completion of a Chinese translation of the Packer Handbook, providing a free online link and explaining how Packer creates portable machine images across multiple platforms, highlighting its speed, cross‑cloud capabilities, stability, and testability benefits.
This article explains why Kubernetes does not automatically rebalance pods, demonstrates how to use the Descheduler, Node Problem Detector, and Cluster Autoscaler together to detect node pressure, evict overloaded pods, and scale down underutilized nodes for improved cluster efficiency.
This guide explains how to enable OpenTelemetry in Apache Airflow, configure an OTel collector, use Prometheus as a metrics backend, set up Grafana dashboards, and visualize sample DAG metrics, providing a complete observability stack for Airflow pipelines.
This article explains how to set up and use pre‑commit hooks for Terraform, covering the purpose of pre‑commit checks, a list of popular Terraform‑specific hooks, step‑by‑step installation instructions, and how they improve code quality, security, and CI efficiency.
DevOps testing integrates continuous, automated testing throughout the software development lifecycle, shifting left from traditional isolated testing, emphasizing automation, appropriate tool selection, metric tracking, documentation, and dedicated test automation engineers to ensure high‑quality, rapid software delivery.
