This guide introduces Gitea—a Go‑based, open‑source Git service—covers its core features, compares it with GitLab and GitHub, and provides step‑by‑step instructions for binary installation, systemd service setup, Nginx reverse‑proxy configuration, and basic repository usage on Linux.
This article walks through configuring AppVeyor to compile Windows PHP extensions, covering repository forking, token encryption, custom .appveyor.yml matrix settings, artifact packaging, GitHub deployment, and troubleshooting remote build issues, providing a practical CI/CD solution for PHP developers.
This comprehensive guide delves into DevOps architecture, explaining core concepts like continuous integration, delivery, and deployment, showcasing essential tools such as Jenkins, Docker, Kubernetes, and GitLab CI, and illustrating best practices and real‑world case studies from Netflix and Etsy to help teams accelerate, automate, and improve software delivery.
This guide demonstrates how to use a Jenkins pipeline together with a single .tpl template and sed commands to automatically generate and deploy multiple Kubernetes configuration files, streamlining the deployment of numerous similar services while reducing maintenance overhead and error risk.
This article walks through the evolution of a Jenkins pipeline to not only build and push Docker images but also to deploy to Kubernetes with health checks for Deployments and StatefulSets, incorporating rolling update strategies and comprehensive status verification to ensure reliable CI/CD workflows.
This guide shows how to replace tedious manual jar deployment with a simple one‑click CI/CD solution, providing stop and start shell scripts, Jenkins integration, and deployment automation to speed up testing and production releases.
This step‑by‑step tutorial explains CI/CD concepts, shows how to install and register a GitLab Runner, configure a .gitlab-ci.yml file with dev and test stages, and demonstrates pushing code to trigger automated builds, tests, and deployments for a front‑end project.
Japanese game developer KMS migrated from Azure to Tencent Cloud, adopting a cloud‑native architecture with Tencent’s Elastic Microservice platform that provides timed and metric‑based scaling, CI/CD pipelines, and batch upgrades, resulting in roughly 50% cost savings, 15% performance gains and 50% latency reduction.
Learn how to connect Jenkins Pipeline with Kubernetes to automate building, testing, and deploying containerized applications, covering prerequisite setup, detailed pipeline stages—including code checkout, Docker image creation, testing, registry push, and Kubernetes deployment—complete with code snippets and configuration tips.
The ModularDevTool, a shell‑script and Gradle‑plugin solution, centralizes sub‑repository management, enables one‑click switching between code and Maven dependencies, automates version handling and CI publishing, and thus streamlines Android client modular development while cutting manual effort and code conflicts by over half.
vivo created an Ansible‑based Karmada‑Operator that declaratively manages multi‑cluster deployments, etcd backup/restore, and control‑plane upgrades via custom CRDs and CI pipelines, addressing the limitations of existing tools and providing extensible, reliable, self‑healing orchestration for large‑scale Kubernetes environments.
The Vivo Internet Server Team describes how they integrated JaCoCo into their internal CI/CD platform to measure Java test coverage, explaining JaCoCo’s probe‑based instrumentation, the need for consistent compilation, handling incremental code and class‑ID changes, and showing that the resulting coverage data improves testing quality despite added effort.
Vivo replaced error‑prone manual Ansible playbooks with a custom Kubernetes Operator that uses declarative CRDs and modular Ansible scripts to automate the full lifecycle—deployment, scaling, upgrades, and recovery—of thousands of nodes across multiple data‑centers, supported by extensive CI testing and future kubeadm integration.
This article walks you through installing Tekton pipelines on a Kubernetes cluster, including installing specific versions, verifying CRDs, creating and executing simple Tasks and TaskRuns, using the Tekton CLI, and setting up the Tekton Dashboard, with commands and code snippets for each step.
This article explains how to perform rolling, blue‑green, and canary (gray) releases in Kubernetes, focusing on implementing canary deployments with the ingress-nginx controller using specific annotations, demonstrating weight‑based and header‑based scenarios, providing full YAML manifests, CI/CD pipeline designs, and recommendations for automated rollouts.
This article shares practical standards for Kubernetes operations—including infrastructure, application, artifact, and CI/CD guidelines—to help teams simplify management, improve reliability, and foster continuous learning and sharing in fast‑moving cloud environments.
This article walks through deploying a Flask web service with GitLab CI/CD, covering Docker image creation, a comprehensive .gitlab-ci.yml pipeline, Kubernetes resource definitions, runner variable configuration, and how branch, tag, and manual review jobs orchestrate continuous integration, delivery, and deployment.
Learn how to set up a complete Android CI/CD pipeline by installing JDK, Android SDK, and Gradle, creating Docker images for builds, configuring Jenkins on Kubernetes, and automating packaging and deployment, with detailed commands and troubleshooting tips for efficient mobile app releases.
This guide shows how to refactor a Tekton CI/CD pipeline by extracting Helm chart templates into a separate repository, configuring Argo CD to manage the deployment stage, and adding Tekton tasks that update Helm values, sync the application, and handle health checks, achieving a full GitOps workflow on Kubernetes.
This article outlines a comprehensive release workflow that integrates Jira, GitLab, and Jenkins using webhooks, detailing manual and automated publishing methods, configuration steps for each tool, pipeline design, and code examples to achieve a closed‑loop deployment process.
This article provides a comprehensive guide to Argo Workflows, covering its core concepts, installation of both controller and client, detailed examples of workflows, templates, variables, reusable WorkflowTemplate and ClusterWorkflowTemplate resources, and a practical CI/CD pipeline implementation on Kubernetes.
This guide walks you through installing GitLab Runner via Docker, configuring its types and states, registering it with a GitLab instance, and creating a simple .gitlab-ci.yml pipeline to verify end‑to‑end CI/CD functionality.
This guide shows how to combine Jenkins with Argo CD and Argo Rollouts to create a fast, automated CI/CD pipeline that speeds up Argo CD triggers, performs canary releases, and automatically tags GitLab repositories for version control.
This guide walks you through building a complete CI/CD pipeline using Jenkins, GitOps, Kubernetes, ArgoCD, SonarQube, Docker, and GitLab integration, covering software installation, shared library setup, pipeline scripting, image building, deployment, and webhook triggering in a cloud‑native environment.
This article provides a comprehensive guide to GitLab code review, covering environment setup, Git flow basics, review methods, configuration of approvals, templates, issue linking, Code Quality integration with CI/CD, step‑by‑step practice, and recommendations for choosing between Community and Enterprise editions.
This article presents a comprehensive practical guide on using GitLab's built‑in CI/CD features for microservice projects, covering pipeline, stage, job concepts, .gitlab-ci.yml configuration, runner installation, Docker image building, registry push, and deployment strategies, supplemented with code snippets and diagrams.
The project replaces cumbersome manual management of thousands of heterogeneous CPU and GPU nodes for large‑scale reinforcement learning with a TKE‑based, containerized actor‑learner architecture that automates batch start/stop, provides elastic autoscaling, fault‑tolerant processes, shared model storage, and CI‑driven image deployment, cutting costs by up to two‑thirds while dramatically speeding experiment cycles.
This article documents a multi‑stage investigation of intermittent GitLab Runner build timeouts and hangs, describing the background, VM configuration, successive diagnostic steps using strace, iotop, perf, and storage‑driver adjustments, and concludes with performance test results and lessons learned.
The article revisits software process improvement, arguing that despite DevOps and cloud‑native advances—exemplified by Jenkins’s evolution from simple builds to fully programmable, Git‑and‑Kubernetes‑driven pipelines—continuous, metric‑driven refinement remains essential for boosting efficiency, quality, and resilience in modern, micro‑service‑centric delivery.
The article presents a comprehensive 2018 DevOps Engineer roadmap that outlines essential skills—from programming languages and Linux fundamentals to networking, security, containerization, CI/CD, monitoring, and cloud platforms—and pairs each topic with curated online courses to guide aspiring DevOps professionals.
