This article provides a step‑by‑step guide on installing Jenkins Blue Ocean via Docker, creating pipelines using both the classic UI and the Blue Ocean visual plugin, and configuring pipeline stages, triggers, and environment variables with example Groovy scripts.
The article explains how cloud‑native environments influence container image construction and reviews several Dockerfile‑free tools such as KO, Jib, and s2i, as well as Dockerfile‑based alternatives like Kaniko and Makisu, highlighting their use cases, advantages, and limitations.
The article presents Ctrip's platform-driven API automated testing solution, detailing the challenges of traditional script-based testing, the proposed lightweight online test authoring and execution system, its key implementation features, technical architecture using Vue, Java, and MongoDB, and the resulting efficiency gains for development teams.
The GitLab 2023 DevSecOps survey of 3,700 software professionals reveals that developers are increasingly responsible for configuring environments, managing infrastructure, and handling security, while organizations report higher deployment frequencies, broader CI/CD tool adoption, and persistent testing and vulnerability‑prioritization challenges.
This article walks you through half‑automatic and fully automated deployment of a SpringBoot application using Docker, a custom Bash script, and Jenkins, covering project packaging, Dockerfile creation, script details, Jenkins SSH publishing, and practical tips for reliable CI/CD pipelines.
Learn how to automate the packaging, Docker image creation, and remote deployment of a SpringBoot application using a semi‑automatic script and Jenkins, covering Dockerfile setup, Bash deployment scripts, Jenkins Publish Over SSH configuration, and best practices for reliable production releases.
This guide walks through setting up a private Kubernetes environment, configuring namespaces and service accounts, modifying Eureka for IP registration, preparing Docker and Harbor authentication, creating StatefulSet and Service manifests, and automating continuous deployment with a Python script, enabling a fully functional Spring Cloud Eureka service in a resource‑constrained cluster.
This guide explains how to register a Docker‑based GitLab Runner, view its configuration, and use image, services, environment, and inheritance settings in .gitlab-ci.yml files, as well as how to organize reusable pipeline templates for efficient DevOps workflows.
This guide demonstrates how to write parameterized Ansible playbooks for MariaDB installation and configure Jenkins pipelines to execute those playbooks, securely passing credentials and extra variables to achieve fully automated, repeatable database deployments.
To accelerate CI/CD pipelines, the article recommends using self‑hosted GitLab Runners on a private cloud for faster network access, caching build dependencies, employing lightweight Alpine images for jobs, and limiting job execution to changed files via the only:changes rule.
This tutorial explains how to set up a GitHub Actions CI/CD pipeline for a Docker‑based project, covering workflow file creation, YAML configuration, secret management, and verification of Docker image builds.
This article demonstrates how to set up a Jenkins Declarative Pipeline to automate the CI/CD workflow for a .NET Core project, covering stages such as checkout, restore, clean, build, test, publish, and email notifications.
This guide walks through setting up a complete CI/CD pipeline for a SpringBoot micro‑services project using Jenkins, Docker, Harbor, GitLab, and Python scripts to build, package, and deploy containers onto a Kubernetes cluster, covering environment installation, configuration, and testing steps.
This tutorial explains how to use GitLab CI's parallel needs, control artifact downloads, incorporate local, file, template, and remote includes, apply extends for job inheritance, and configure multi‑project, parent‑child, and downstream pipeline triggers with practical YAML examples.
This article evaluates six popular container CI/CD pipelines—Heroku, Azure DevOps, GitLab CI/CD, AWS Elastic Beanstalk, Google Cloud Build, and Jenkins X—detailing their configurations, advantages, limitations, pricing, and personal assessments to help teams choose the most suitable solution for their workflow.
This article explains why and how to implement parallel testing with Selenium, illustrating the massive time savings, broader test coverage, cost benefits, and integration with continuous integration pipelines through practical examples and step‑by‑step guidelines.
This presentation walks through a step‑by‑step approach that blends real‑world business needs, design patterns, and Jenkins features to demonstrate how a shared‑library‑based pipeline engine can support large‑scale, complex CI/CD scenarios, from native solutions to structured atomic units and dynamic execution refactoring.
This guide explains how to configure GitLab CI artifacts—including specifying paths, exposing artifacts in merge requests, customizing artifact names, controlling upload conditions, setting expiration times, and collecting test reports—while providing practical code examples and important usage notes.
This article explains GitLab CI cache configuration, including cache paths, keys, policies, and examples of global and job-specific caching, demonstrates pipeline execution and runner cache behavior, and provides best‑practice conclusions for effective CI/CD caching.
This tutorial explains how to use GitLab CI's only/except parameters and the newer rules syntax—including if, changes, exists, and allow_failure clauses—to control job execution, configure branch restrictions, and define workflow-level pipeline creation, illustrated with comprehensive YAML examples.
This article describes how Ctrip built a traffic replay platform that leverages ElasticSearch logs to automate both API and UI testing, enabling rapid regression, visual comparison, and continuous integration, ultimately reducing test effort and increasing release frequency.
This tutorial explains how to use GitLab CI keywords such as tags, allow_failure, when, manual, delayed, retry, timeout, and parallel to control runner selection, job execution conditions, failure handling, scheduling, retry policies, time limits, and concurrent job instances within CI/CD pipelines.
This tutorial explains how to install GitLab Runner on various platforms, register different runner types, retrieve tokens, and use common commands for managing the runner and executing CI/CD pipelines, providing code examples for Docker, CentOS, macOS, and interactive or non‑interactive registration.
This article explains the drawbacks of the traditional software release process, introduces continuous integration, delivery, and deployment concepts, compares GitLab CI/CD with Jenkins, and outlines the architecture, configuration files, and advantages of using GitLab’s built‑in CI/CD platform.
This guide explains how to periodically synchronize Bitbucket master branches to GitHub repositories using a Jenkins pipeline, detailing branch policies, a simplified workflow for feature and bugfix branches, and a reusable Jenkinsfile that leverages parameterized builds to control repository syncing.
This guide explains how to install the SonarQube Community Branch Plugin, configure multi‑branch scanning, and integrate pull‑request quality reports into GitLab CI pipelines using SonarQube settings and API commands.
This tutorial explains how to install GitLab Runner on various platforms, register it in different modes, and use common commands to manage CI/CD pipelines for continuous integration, including Docker-based setups and example pipeline configurations.
This guide explains how to set up Bitbucket webhooks and Jenkins Bitbucket Branch Source plugin so that every Pull Request automatically triggers a Jenkins multi‑branch pipeline build, improving build speed and reliability.
This article explains the shortcomings of the traditional software release process, introduces continuous integration, delivery, and deployment concepts, compares GitLab CI and Jenkins features, and outlines the advantages, architecture, and practical usage of CI/CD pipelines for DevOps teams.
This article explains why Kubernetes was chosen, describes the overall architecture, high‑availability master design, multi‑IDC cluster deployment, logging, monitoring, service exposure, image building, lifecycle hooks, CI/CD, multi‑cluster management, encountered challenges, and future plans for operators and automated scaling.
This article explains how to use infrastructure‑as‑code techniques on Kubernetes to automate the deployment and CI/CD pipelines of .NET Core microservices, detailing the role of k8s.yaml files, Jenkinsfiles, and related automation tools.
The article explains why Jenkins declarative pipelines can hit a 64 KB method size limit, presents three practical mitigation strategies—including extracting steps, switching to scripted pipelines, and using Shared Libraries—and compares their advantages and disadvantages to help developers keep their Jenkinsfiles maintainable.
This article details how CTrip's flight app transitioned to React Native and adopted BDD-driven CI/CD, introducing parallel linting, unit testing, automated publishing, a mock data platform, distributed UI automation, and multi‑process frameworks to achieve 95% test coverage, minute‑level execution times, and significantly reduced release costs.
This article explains how to implement infrastructure‑as‑code for CI/CD tools on a shared Kubernetes cluster by using a lightweight variable‑template engine, configuring Jenkins, Gogs, and Nexus via ConfigMaps, initContainers, and REST/Script APIs, and combining multiple automation techniques for seamless deployment.
This guide explains how to configure an Android project, write Python scripts for uploading APKs to Fir.im and Pgyer, create a Jenkinsfile with checkout, build, and upload stages, and set up Jenkins global variables and pipeline parameters for automated CI/CD deployment.
This article discusses common challenges encountered when using SonarQube at scale—including data instability across branches, rule configuration for new projects, and project permission management—and presents practical solutions such as branch-specific project naming, Jenkins-driven API automation, and recommendations for purchasing commercial editions.
This article explains how to embed static application security testing (SAST) into a DevSecOps CI/CD pipeline by defining five essential checkpoints—pre‑commit, commit‑time, build‑time, test‑time, and deployment—covering purpose, benefits, handling false positives, result merging, custom rule sets, and automation strategies.
This article explains how the CNCF‑incubated Argo suite enables native Kubernetes workflows, details performance‑enhancing contributions such as RBAC‑aware executors, parallel scanning, and status compression, and showcases a real‑world gene‑sequencing use case that achieves over a hundred‑fold speedup.
This article provides a comprehensive overview of DevOps concepts, including definitions of CI, CD, continuous deployment, version control, tooling, implementation steps, benefits, and distinctions from Agile and Lean IT, offering guidance for effective adoption and interview preparation.
This guide explains how to streamline the deployment of multiple microservice modules by creating a Jenkins project that integrates with GitLab, lets users select services, and uses the pipeline parallel syntax to run tasks and stages concurrently, reducing manual effort and speeding up releases.
iQIYI’s Mobile Middle Platform decouples its multiple apps into a reusable, SaaS‑enabled architecture that centralizes services through the QMAS portal, provides ready‑made scaffolding and cross‑platform frameworks, and ensures high‑availability via comprehensive monitoring and a custom network foundation, dramatically accelerating development and unifying user experience.
This article details how to replace VM‑based Jenkins slaves with dynamically provisioned Kubernetes pods, covering architecture design, Jenkins master configuration, pod template YAML, custom Docker images, pipeline scripts, and performance tuning to improve resource utilization and scaling.
This article explains why and how to replace Jenkins Freestyle projects with Pipeline jobs, covering the limitations of Freestyle, the benefits of Pipeline, and providing a complete scripted example that automates code checkout, building, testing, reporting, and email notification.
This article details a hands‑on workshop that automates the provisioning of a Kubernetes‑based .NET Core microservice environment and CI/CD pipeline using infrastructure‑as‑code scripts, covering tool selection, script workflows, deployment steps, and initialization techniques for reproducible cloud‑native development.
This article compiles a series of frequent Jenkins pipeline problems—such as Git parameter handling, credential plaintext usage, Sonar scanning, JSON parsing, HTTP request handling, and build termination—and provides practical solutions, code snippets, and tips to help developers avoid pitfalls and streamline their CI/CD workflows.
This article compiles a series of real-world Jenkins pipeline problems—ranging from Git parameter handling and credential usage to Sonar scanning, JSON parsing, and pipeline control—offering concise solutions and code snippets to help DevOps engineers avoid common pitfalls and streamline their CI/CD workflows.
This article walks through the complete process of moving a project to a Kubernetes platform, covering image creation, pod controller management, data persistence, service exposure, external publishing, CI/CD integration, and detailed command‑line examples for building, pushing, and deploying Docker images.
This tutorial introduces GitLab CI/CD, explains its core concepts, reasons to choose it, outlines typical pipeline stages and jobs, and provides a complete example .gitlab-ci.yml configuration with code snippets for building, testing, and deploying a Node.js application.
This article explains how Skyscanner integrated the Sonar Secrets plugin into their CI/CD pipeline to automatically detect hard‑coded secrets such as passwords, API tokens, and AWS credentials, covering setup, build commands, installation steps, and enabling the rules in SonarQube quality profiles.
This article provides a comprehensive overview of Jenkins' architecture, detailing the master and slave nodes, web interface, jobs, plugins, security, credentials, cloud agents, global settings, logging, configuration storage, connection methods, and best practices for backup and deployment.
This article demonstrates how to install the Jenkins File Operations plugin, generate its DSL configuration, run a pipeline that creates a file, lists directory contents, and includes a sample pipeline script with logs and screenshots illustrating each step.
This article outlines why DevOps is a hot career path, answers common questions about tools and practices, presents a 2020 DevOps roadmap, recommends key books such as The Phoenix Project and Continuous Delivery, and suggests free and paid courses—including Jenkins pipelines and CI/CD—to help beginners become competent DevOps engineers.
This article describes how to build a CI/CD pipeline using TFS for source control and Jenkins for automation on a Red Hat OpenShift‑based PaaS, covering code management, automated builds, testing, container image creation, deployment, and the necessary Jenkins and TFS configurations.
This article explains the fundamentals of static code scanning, reviews popular analysis tools such as Checkstyle, FindBugs, PMD and SonarQube, and details a three‑year evolution of a dealer technology department’s CI/CD integration, automation, metrics, and key success factors for effective code quality assurance.
This guide explains how to refresh the Jenkins interface by installing the Simple Theme plugin, applying an online material CSS stylesheet or a local custom CSS file, and configuring the theme settings to achieve improved fonts, syntax highlighting, and console output appearance.
The article shares ten practical lessons from a senior full‑stack engineer covering CSS specificity, component state design, backend code organization, PostgreSQL performance, the pitfalls of rushing releases, automation investment, mastering tools, MVP thinking, research‑driven development, and systematic scientific debugging.
This article presents a comprehensive overview of the 14 most popular CI/CD tools, describing their main functionalities, licensing models, and official websites to help teams choose the most suitable solution for fast and reliable software delivery.
This guide walks you through installing the Blue Ocean plugin, accessing its UI, creating a multibranch pipeline, editing stages such as the GetCode stage, and committing the generated Jenkinsfile, highlighting its visual features and current limitations.
This tutorial walks through configuring GitHub Actions for a Python project to enforce code style, run unit tests, and generate coverage reports using CodeFactor, the wemake‑python‑styleguide action, and Codecov, complete with step‑by‑step instructions and workflow examples.
The article details how a Go middleware QA team generates unit‑test coverage with go test and gocov, runs static analysis via golangci‑lint, integrates results into SonarQube, captures integration‑test coverage in Kubernetes, and applies diff‑cover for incremental coverage checks, all visualized through Jenkins.
This article describes how to create an immutable Jenkins instance by storing all configuration and job definitions as declarative code, building a Docker image with required plugins, using the Configuration‑as‑Code and Job‑DSL plugins, and automating setup tasks such as default user creation and wizard skipping across multiple environments.
This article explains four concrete distinctions between Jenkins scripted and declarative pipelines—including code validation at start, stage restart capability, options handling, and conditional stage execution—illustrated with side‑by‑side code examples and screenshots.
This article explains how Tencent Meeting leveraged Tencent Cloud’s Kubernetes Engine (TKE) and a suite of cloud‑native extensions—dynamic routing, fixed networking, parallel scaling, and controlled batch upgrades—to achieve rapid, reliable version iteration and massive capacity growth during the COVID‑19 surge.
This article provides a comprehensive, step‑by‑step tutorial for building, containerizing, and deploying a Spring Cloud microservice project on a Kubernetes cluster, covering environment preparation, Maven builds, Docker image creation, YAML orchestration, and verification of the frontend portal.
Load testing, which simulates thousands of real users, is crucial for uncovering performance bottlenecks that functional tests miss, and integrating automated load tests into every CI cycle helps prevent crashes, protect revenue, and ensure reliable software delivery.
This article explains the core concepts of continuous integration, delivery, deployment, and testing, outlines common challenges such as limited environments and ownership issues, and highlights why CI/CD is vital for improving developer productivity, code quality, and faster software releases.
This article presents a comprehensive overview of front‑end technical base construction, covering its definition, importance, typical components such as standards, tooling, CI/CD, data tracking and performance automation, and shares practical experiences and best‑practice examples from the 2020 Front‑end Early Talk conference.
This article explains the fundamental principles, practical steps, and toolchain choices for designing a reliable CI/CD pipeline that accelerates software delivery while maintaining quality, covering integration, automation, DevOps culture, containerization, continuous testing, and controlled deployment.
The article reviews Meituan Delivery’s journey from early serial releases to bi‑weekly and weekly delivery models, detailing the key factors, automation tools, CI/CD pipelines, and operational principles that enable faster, high‑quality mobile app releases.
This guide explains how to install and configure Jenkins' Email Extension plugin, set up SMTP settings, create a shared library Groovy script for email notifications, and test the email functionality within a Jenkins pipeline.
This guide explains branch development strategies, naming conventions, Dockerfile creation, image building and publishing, as well as automated Harbor image cleanup using Jenkins pipelines, providing a comprehensive workflow for managing container images in a cloud‑native environment.
This article details UCloud's engineering of API and SDK management—including unified modeling, code generation, automated testing, and CI/CD pipelines—to dramatically improve the stability, reliability, and release efficiency of its public cloud services.
This tutorial explains how to set up Docker‑in‑Docker for Jenkins, mount the Docker socket, run containers as root, and create multi‑stage pipelines that use different Docker images for Maven and Node builds, including troubleshooting tips.
This tutorial walks through using Groovy code to set up Docker Cloud in Jenkins, detailing class imports, parameter maps, template creation, cloud configuration, and an alternative JNLP‑based example for advanced container launch strategies.
This guide explains how to deploy Jenkins using Docker, set up both static and dynamic Docker‑based slaves, configure plugin sources, adjust certificates, and fine‑tune Docker Cloud settings for reliable CI/CD pipelines.
This article explains why and how to adopt the open‑source Cppcheck tool for C/C++ static analysis, covering installation on Linux, building from source, command‑line usage, Jenkins plugin integration, pipeline scripting, and report visualization to prevent new warnings from entering the codebase.
This article demonstrates how to use Jenkins Core API and Job DSL in a Groovy Jenkinsfile to programmatically create, update, and manage Jenkins jobs and folders, including handling security approvals and template project configuration.
This article explains what Jenkins and pipelines are, then guides you through installing Docker, running a Jenkins container, retrieving the initial admin password, and completing the Jenkins setup via the web interface, including plugin installation and user creation.
During the COVID‑19 pandemic, the mall development team adopted a comprehensive DevOps toolchain—including JIRA, GitLab, Jenkins, Sonar, Docker, and Wiki—to enable end‑to‑end remote development, automated pipelines, and continuous delivery, resulting in improved efficiency, reliable releases, and seamless collaboration.
This article presents a complete Jenkinsfile that defines choice parameters for selecting an environment and dynamically populates a server list using Groovy scripts, then demonstrates a simple pipeline stage that validates and echoes the chosen values, aborting the build if validation fails.
This article introduces Jenkins infrastructure setup, including installation via Ansible, Puppet, Chef or Docker, outlines management tools such as CLI, REST API, python‑jenkins and Jenkins‑client, describes project creation plugins like Job DSL, Job Builder and Jenkinsfile, and explains system configuration using Groovy scripts and the Configuration‑as‑Code plugin.
This guide explains how to use Jenkinsfile Runner to execute Jenkins pipelines locally via the command line or Docker, covering prerequisite downloads, building the runner, command‑line options, a sample Jenkinsfile, and tips on plugin management for efficient testing.
This guide walks through setting up a complete development and automated deployment stack on a fresh CentOS server, using Docker with Laradock for PHP testing, GitLab for source control, and Jenkins for CI/CD, including detailed command examples, configuration parameters, and plugin setup.
This article introduces Kong, a cloud‑native API gateway, outlines its key features such as high performance, plugin architecture, and built‑in security, explains why it solves common microservice challenges like unified entry, scalability and CI/CD, and provides step‑by‑step guidance for deployment, clustering, custom plugin development, and troubleshooting.
This guide explains how to install and configure the Jenkins Active Choices plugin to create dynamic, parameterized builds in Pipeline projects, including using Groovy scripts for checkbox, radio button, and multi-select UI widgets, and handling reactive parameters with conditional logic.
This guide explains how to set up a Jenkins instance with a domestic update mirror by customizing a Docker image, adjusting environment variables, copying certificates, and modifying update‑center URLs to improve plugin download speed in China.
The article explains that shared libraries, a familiar concept from languages like Python, are implemented in Jenkins as Groovy classes containing methods, helping to centralize pipeline code, avoid bloated Jenkinsfiles, and improve maintainability, while also promoting a live broadcast and group chat.
This guide explains how to deploy Nexus with Docker, define component concepts, configure Maven settings, and use Jenkins pipelines—both script‑based and Nexus plugin—to upload and publish artifacts to Nexus and Artifactory, including API scripts and naming conventions for repository management.
This guide walks through setting up Crowd 3.7.1 with Jenkins 2.220 by creating user directories, groups, and applications in Crowd, then configuring Jenkins to use the Crowd2 plugin for global security and login, including screenshots for each step.
The article explains the concept of shared libraries, compares them to Python modules, describes how Jenkins Groovy shared libraries store classes and methods, and discusses their role in simplifying and standardizing pipeline code to avoid overly complex Jenkinsfiles.
This guide walks through installing the Spinnaker continuous‑delivery platform on a Kubernetes 1.16+ cluster using Helm 3, covering environment preparation, Helm chart adjustments for API version compatibility, storage class configuration, proxy settings for Halyard, and exposing the service via Traefik IngressRoute.
The article explains the concept of shared libraries, compares them to Python modules, describes how Jenkins uses Groovy classes for reusable pipeline code, and highlights their role in simplifying and standardizing Jenkinsfile management while also promoting an upcoming live event.
This article introduces HttpRunner, a universal HTTP(S) testing framework, explains the YAML/JSON structure for APIs and test cases, demonstrates GET and POST definitions, and shares practical tips on handling variables, output, and extract to avoid common pitfalls in automated API testing.
The article explains how to use feature flags in a three‑tier microservice architecture, describing the need for both high‑level end‑to‑end tests and low‑level unit tests within CI/CD pipelines to ensure correct behavior when flags are on or off, while avoiding excessive test combinatorial explosion.
This guide lists Jenkins REST API endpoints for project management tasks such as retrieving information, creating, disabling, enabling, deleting, and building jobs, and demonstrates how to wrap HTTP requests with the httpRequest step in a Jenkins pipeline using authentication tokens.
This tutorial demonstrates how to install the python‑jenkins library, explore its extensive job, node, credential, view and plugin management methods, and use concrete code examples to create, copy, configure, and control Jenkins jobs and pipelines from Python scripts.
Meituan Waimai transformed its release process from a six‑week serial model to a hybrid bi‑weekly and weekly cadence, automating version management, CI pipelines, and deployment to enable continuous delivery that rapidly ships features for over 30 million daily orders while maintaining high quality.
This guide introduces Jenkinsfile pipeline development utilities, covering a snippet generator, declarative syntax generator, essential global variables, and frequently used pipeline methods such as JSON handling, credential usage, source checkout, HTML reporting, interactive input, build user identification, and HTTP requests.
This article walks through Docker’s architecture, acceleration tricks, containerization best practices, and a hands‑on DevOps workflow that uses Jenkins to build Docker images and deploy them to a Kubernetes cluster, highlighting practical tips for Chinese developers and cost‑effective cloud‑native operations.
This tutorial explains how to configure Jenkins shared libraries, create Groovy utility classes, and integrate them into pipelines, covering library structure, code examples, required plugins, and usage within Jenkinsfiles to enhance DevOps workflows.
