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 article introduces Nightwatch.js 1.3, outlines its new BDD interface, additional assertions and APIs, provides step‑by‑step installation of Nightwatch and browser drivers via npm, explains CLI options, demonstrates running a sample test, and offers guidance on unit testing and example projects.
The article demonstrates how a programmer can replace tedious manual Excel operations by using Python and pandas to batch‑process 128 sales spreadsheets, calculate brand‑level revenue, and dramatically reduce processing time from hours to seconds, illustrating a practical data‑analysis workflow.
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.
An internal one‑stop performance testing platform was built to streamline workflow control, task management, and automated baselines, cutting test cycles by up to 80%, supporting shared resources, real‑time monitoring and future extensions for middleware automation and intelligent alerts.
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 article explains the challenges of operating many Kubernetes clusters in private‑cloud environments and presents a declarative, operator‑driven Kube‑On‑Kube architecture that dramatically cuts deployment, upgrade, and user provisioning time while remaining cloud‑native and infrastructure‑agnostic.
The article describes a full‑field automation framework for Dubbo services that validates both read and write interfaces by routing identical requests to base and project environments, generating ignore‑field maps via object‑to‑map conversion, and orchestrating multi‑round TestNG executions to achieve exhaustive field verification while dramatically improving test‑case authoring efficiency.
JMock is a zero‑configuration, intelligent mocking platform that simplifies service dependency testing for backend applications by providing Maven‑based SDK integration, automatic environment detection, configurable mock switches, diverse data sources, and automatic data generation to accelerate development and reduce testing overhead.
This guide compiles essential MySQL security steps, master‑slave replication principles, backup scripts, Linux boot overview, common port services, virus mitigation, monitoring tools, nginx optimization, InnoDB lock troubleshooting, replication lag reduction, high‑availability components, data migration utilities, and automation configuration management techniques for operations engineers.
This article outlines practical quality assurance strategies—including outsourcing QA teams, integrating testing early in the development lifecycle, and adopting automation frameworks—to improve software quality, reduce costs, and support business growth in digital transformation initiatives.
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 demonstrates how to programmatically pull date, title, and document number fields from thousands of similarly structured Word tables, normalize the dates, and export the data into a formatted Excel spreadsheet using Python's docx, datetime, and openpyxl libraries.
This article recounts the journey of a Chinese fund company's infrastructure team as they transformed low‑efficiency manual operations into a standardized, automated DevOps workflow, detailing the challenges, decisions between self‑development and partnership, and future plans for security, CMDB, and PaaS evolution.
This article explores the challenges of component maintenance in micro‑frontend architectures, compares different component types, and presents a practical CLI tool that automates scaffolding, testing, documentation, and publishing to streamline the creation of a reusable, well‑documented component library.
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 comprehensive guide introduces Ansible's core concepts, architecture, and key features, then walks through installation, inventory configuration, command usage, module options, playbook creation, handlers, and role-based organization, providing practical examples and code snippets for effective automation across Linux and mixed environments.
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 explores the evolving role of IT operations, defining its core value, comparing traditional closed‑source and open‑source architectures, analyzing the shift toward automation, DevOps, cloud‑native and digitalization trends, and outlining essential skills and management practices for today’s ops professionals.
This article introduces the powerful nGrinder load‑testing tool, explains its architecture and advantages over JMeter, walks through controller and agent deployment, script creation, data preparation, TPS control, parameterization, test execution, result analysis, and advanced features for building a stable, scalable distributed performance‑testing environment.
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.
The article outlines the essential technical and non‑technical competencies—communication, problem‑solving, data analysis, adaptability, prioritization, time management, programming basics, negotiation, mentorship, and strategic intervention—that enable a test manager to lead agile QA teams successfully.
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 how JD Retail built a high‑performance, secure, and observable API gateway that supports massive traffic, implements asynchronous processing for high concurrency, provides fine‑grained traffic control, gray‑release capabilities, and automated operations to serve native, web, and mini‑program clients.
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 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 guide introduces the Python Paramiko library for SSH and SFTP, showing how to install it, create SSHClient and SFTPClient objects, execute remote commands, transfer files, and properly manage connections on Linux servers.
This tutorial walks you through creating a Python-powered QQ Music scraper that retrieves song details, lyrics, and comments, generates a word‑cloud visualization, and packages the functionality into a menu‑driven command‑line tool, complete with code snippets and troubleshooting tips.
The article describes a system that automates Android permission dialog handling by employing template matching and SIFT‑based image recognition, discusses their limitations, outlines the end‑to‑end workflow, and proposes future enhancements using OCR and BERT for intelligent button selection.
This guide explains how to install, configure, and use the open‑source os_monitor tool to collect CPU, memory, and disk metrics, store them in MySQL, and trigger email or WeChat alerts through a web dashboard with simple SQL‑based setup.
The article explains how traditional IT silos hinder rapid incident response, outlines common symptoms of poorly managed applications, and argues that adopting DevOps—supported by cloud‑native infrastructure, automation, and shared responsibility—delivers higher transparency, employee autonomy, operational quality, and customer satisfaction.
The article explains how designing autonomous, end‑to‑end responsible teams—by minimizing inter‑team collaboration, adopting full‑process or cross‑functional squads, and leveraging automation tools—leads to better software architecture, aligns with Conway’s law, and improves efficiency in modern DevOps environments.
This article explains the importance of UI testing, distinguishes it from GUI testing, compares manual and automated approaches—including Selenium benefits—and outlines key techniques such as exploratory, scripted, and user‑experience testing, while highlighting cross‑browser and performance considerations.
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 explains the challenges of validating test cases in production environments, especially for cross‑browser scenarios, and outlines practical strategies—including Selenium Grid automation, blue‑green, canary, and A/B testing—to ensure reliable, efficient production testing.
Learn how to set up Zabbix HTTP agent monitoring for weather data, create dependent items with JSON preprocessing, automate batch addition for multiple cities using Python, and visualize alerts on a dynamic map with custom triggers and graphics.
This article describes the background, challenges, and solution of building a UI‑driven, cross‑business test data construction platform that integrates HTTP, RPC, SQL, and Redis calls, provides a block‑based front‑end builder, and adds workflow visualization to reduce communication overhead.
The article examines the critical challenges of operational security in internet companies, proposes a “nuclear button” permission‑minimization framework, and outlines practical automation solutions such as bastion hosts, Ansible task control, and backup management to balance safety, cost, and efficiency.
The article reviews the State of DevOps Report series (2014‑2019), highlighting rising industry performance, the critical role of fast and secure software delivery, community building, cloud adoption, work‑life balance, and the shift toward automation and personal effectiveness as key drivers of high‑performing DevOps organizations.
This tutorial explains how to install Supervisor on CentOS and Ubuntu, configure its main and program-specific files, and use it to monitor a continuously running Python script, automatically restarting the script if it crashes or is killed.
This article explains the concept of frontend safety production, outlines its evolution from basic monitoring to a systematic, cloud‑enabled framework, and details the core capabilities—pre‑change CI checks, gray‑release gating, and real‑time monitoring—required to ensure high‑quality, risk‑free frontend deployments.
This article provides a thorough overview of planning, provisioning, and managing online production environments—including user sizing, bandwidth estimation, database design, OS versus container deployment, middleware selection, security, monitoring, SSH shortcuts, file transfer tools, automation scripts, Docker setup, and log viewing techniques—aimed at giving developers a complete operational perspective.
This page aggregates a wide range of technical articles, videos, case studies, tools, and tutorials covering API testing, unit and white‑box testing, performance testing, Java, Groovy, Python, UI automation, and various testing utilities, providing a valuable resource hub for software testing professionals.
This article explains why nohup cannot monitor scripts, introduces Supervisor as a Python‑based process monitor, shows how to install it on CentOS, Ubuntu, and via pip, details the supervisord.conf and program .ini configurations, demonstrates a sample Python script, and outlines common commands for managing and restarting services.
This guide walks you through three common problems encountered when using Python's docx‑mailmerge library to batch‑create work‑return certificates, offering step‑by‑step solutions such as installing the correct package, resolving name conflicts, and correctly placing template files.
Learn how to efficiently update root passwords across dozens or hundreds of Linux servers by creating Expect scripts that automate SSH logins, parse IP and password lists, and execute batch password changes, complete with step-by-step instructions, required environment setup, and script explanations.
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 article explains how to build an Android Accessibility service to perform black‑box automation testing, compares its advantages and limitations with UiAutomator1.0/2.0, and provides detailed configuration steps and code examples for service setup, event handling, gesture dispatch, and practical testing scenarios.
GitHub CLI (gh) is a cross‑platform command‑line tool that lets developers clone repositories, filter issues, manage pull requests, create branches, and monitor PR status directly from the terminal, streamlining open‑source contributions on macOS, Windows, and Linux.
This article describes how Alibaba Cloud’s front‑end and marketing platform team tackled frequent urgent requests and front‑end bottlenecks by adopting component‑based development and intelligent Design‑to‑Code tools like imgcook, resulting in significant automation, reduced manual effort, and a scalable low‑code workflow.
This page provides a comprehensive directory of over 320 original articles, videos, and code examples covering API testing, unit testing, performance testing, Java, Groovy, Python, and various testing tools, curated by the FunTester community.
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 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 explains Android's Monkey tool—a command‑line utility for emulator or device testing—detailing its basic syntax, the five categories of options, specific parameters for configuration, event types, constraints, debugging, hidden settings, and how to capture logs.
This guide demonstrates how to add a JSR223 PostProcessor with Groovy in Apache JMeter to capture slow requests, write request parameters and responses to a log file, and control pagination for automated performance testing, providing complete script examples and console output.
The COVID‑19 pandemic dramatically reshaped China's logistics sector, spurring rapid growth in online orders, exposing labor shortages, and prompting widespread adoption of unmanned technologies such as autonomous warehouses, heavy‑duty trucks, drones, delivery robots, and smart lockers to improve efficiency and safety.
The article describes IMVU’s lean‑startup‑inspired continuous deployment system, detailing how they achieve 50 daily releases through automated testing, Buildbot CI, a cluster‑immunity rollback script, rapid user feedback, and extensive QA practices that balance speed with quality.
This guide explains why monitoring is essential, describes the concept of availability "X nines," walks through Zabbix installation, web interface setup, host and template configuration, custom monitoring, alerting with OneAlert, visualization, distributed monitoring, SNMP integration, and provides practical command examples for managing large server fleets.
This article introduces HttpRunner 2.0.1 for API automation, explains the environment setup, project structure, essential CLI commands and Python integration, and shares solutions to frequent problems such as timestamp handling, variable overriding, extraction, and execution repeats, along with useful tips for efficient test layering.
This article walks through configuring JMeter 5.12 to run Groovy scripts inside JSR223 assertions, demonstrating how to validate structured JSON responses, log request details, and handle custom failure messages, while providing step‑by‑step screenshots and a complete script example.
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 collection provides a curated set of Chinese and English resources covering unit testing frameworks like Spock, JUnit, Selenium, performance testing tools, API testing, and related non‑technical articles, offering developers comprehensive guidance for software testing practices.
This guide explains how to use Cobbler to automate the batch installation of multiple operating system versions across hundreds of servers, covering installation, DHCP/TFTP/rsync configuration, distro and profile setup, data synchronization, testing, and the optional web interface for streamlined management.
This article analyzes common source‑code management patterns for numerous small projects, identifies their drawbacks, and proposes a hybrid solution that combines a single‑git repository with git‑submodule based sub‑projects, automated shell scripts, and Umi‑based tooling to achieve unified yet isolated development and deployment.
This comprehensive tutorial walks you through Ansible fundamentals, architecture, key features, installation, inventory setup, and detailed usage of modules, playbooks, variables, templates, handlers, tags, loops, roles, and conditionals, providing step‑by‑step examples and practical tips for automating server configuration and management.
This article demonstrates how to use Python and the python‑docx library to read student scores from CSV files, generate appropriate evaluation comments, and programmatically insert those comments into each student's Word report, streamlining the grading workflow.
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 page compiles a comprehensive collection of Chinese-language articles and resources covering software testing principles, automation strategies, DevOps integration, QA best practices, and related development topics, providing readers with curated links to deepen their understanding of testing methodologies and industry trends.
This article introduces Ansible as a model‑driven configuration manager, explains its core architecture and workflow, and details the seven primary commands—including ansible, ansible‑doc, ansible‑galaxy, ansible‑lint, ansible‑playbook, ansible‑pull, and ansible‑vault—providing usage examples and practical insights for effective automation.
This article details a three‑stage evolution of environment deployment—from manual installation to VM image restoration and finally to automatic registration with command issuance—showing how FRP tunneling, Docker containers, Ansible automation, and a custom deploy tool dramatically reduce deployment effort and eliminate the need for dedicated ops staff.
This guide explains how to use Cobbler to automate the batch deployment of multiple operating system versions across hundreds of servers, covering installation, DHCP and TFTP configuration, distro and profile setup, data synchronization, and web interface usage.
This guide explains how to integrate Zabbix alert notifications with Feishu by obtaining necessary tokens, retrieving user and chat IDs, and using Python code to send text messages to Feishu groups or users, including configuration steps within Zabbix.
This article details how Zhenkun's frontend team responded to fast business growth by unifying their tech stack—introducing a private npm registry, a custom CLI scaffolding tool, Node.js backend, mock services, standardized webpack builds, DevOps automation, static resource delivery, monitoring, visual editors, UI component libraries, and automated testing—to boost development efficiency and maintainability across multiple locations.
This page provides a detailed table of contents linking to over 200 original articles covering API testing, unit and integration testing, performance testing, Java, Groovy, Python, web crawling, automation tools, and various technical and non‑technical topics for software engineers and testers.
This article explores how AI-driven front‑end code generation—from design‑to‑code pipelines, product analyses, technical challenges, and layered recognition models—to improve developer efficiency, detailing the D2C system, its real‑world deployment during 2019 Double‑11, and future roadmap.
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.
By migrating all Dada front‑end projects to an automated CI build platform, introducing Docker volume caching and internal npm mirrors, we eliminated manual steps, reduced build time by more than half, and saved roughly 40 hours of developer time each month.
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 article introduces GitPython, explains its architecture, shows how to install it, and provides step‑by‑step Python code examples for initializing repositories, cloning, committing, checking status, managing branches, merging, handling remotes, and compares it with alternative libraries.
The article outlines typical anti‑crawling measures such as browser detection, captchas, login requirements, JavaScript obfuscation, and behavior‑based blocks, and provides practical counter‑strategies including header spoofing, captcha solving, session/token handling, JS emulation, and human‑like request pacing.
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 step‑by‑step guide explains how to set up a PXE, Kickstart, TFTP, DHCP, and FTP environment on a single CentOS 7 server to perform fully automated, network‑based OS installations for multiple client machines.
This tutorial demonstrates how to use Selenium with Python for explicit waits, page scrolling, zooming via CSS transforms, retrieving element size and coordinates, disabling JavaScript through Firefox profiles, and configuring manual proxy settings, providing complete code examples for each technique.
This article explains how beginners can build a Python-based tool to automatically generate mock XML test data for various industries, covering the creation of XML nodes using ElementTree's append and SubElement methods, structuring multi-level XML files, and handling file storage and server upload.
This article provides a step‑by‑step guide for automating cross‑browser web tests using Selenium with Python, covering fixture setup, CSS and XPath selectors, handling dropdowns, checkboxes, mouse hover actions, tab management, and extracting page source, all illustrated with complete code examples.
This article examines the inherent tension between operations and development, explains Google’s error‑budget and SLO approach, and shares practical DevOps, on‑call, automation, and talent strategies that help ops teams improve efficiency while maintaining product reliability.
This guide explains how to integrate SonarQube into a DevOps workflow by using its REST API, creating reusable shared library functions, configuring multi‑branch analysis, and automating quality gate checks within a CI/CD pipeline.
This guide explains how to install and configure SonarQube Scanner, set up project analysis parameters, and automate code quality checks within Jenkins pipelines using shared libraries and Groovy scripts, enabling continuous inspection of Java projects.
This guide outlines the key 2020 trends, essential automation and programming skills, recommended learning resources, and practical steps for test engineers to advance their careers, stay current with emerging technologies, and build a strong professional presence.
DevOps integrates development and operations through continuous integration, delivery, and deployment, leveraging tools such as Git, Jenkins, Ansible, and cloud platforms like Azure DevOps and AWS to automate code management, build processes, configuration, testing, and infrastructure provisioning, ultimately accelerating delivery and improving quality.
This article examines the tension between operations and development teams, explains Google's SRE error‑budget model, and shares practical reflections on engineering ops, on‑call rotation, automation, and talent development to achieve a sustainable balance between product stability and rapid innovation.
This article details JD's API gateway implementation, covering its background, core features, three‑layer architecture, high‑concurrency techniques using asynchronous processing, fine‑grained security controls, gray‑release strategies, automated deployment, monitoring, and fault‑location mechanisms for large‑scale e‑commerce traffic.
The article explains how well‑crafted test cases—containing precise names, IDs, preconditions, steps, data, expected results, actual results, and defect links—reduce reliance on individual testers, aid defect reproduction, support automation, serve as training material, and act as long‑term evidence while warning against over‑detailing in time‑critical or ad‑hoc scenarios.
To keep Git repository analysis up‑to‑date, this guide shows how to create a Jenkins pipeline that periodically or on‑demand runs GitStats, generates HTML reports, deploys them to Tomcat, and cleans up workspace, supporting multiple repositories with parameterized builds and email notifications.
This guide explains how to use Unix shell for‑loops and the find command to batch‑process files, covering basic syntax, practical ImageMagick examples, loop restrictions, variations across shells, and advanced find‑exec techniques for efficient automation.
This article explains how to install the Alibaba Cloud Toolkit extension for Visual Studio Code and use its one‑click packaging and deployment features to send code to Alibaba Cloud ECS or any remote server, dramatically speeding up development workflows.
This article details Tencent Online Education's three business lines, the challenges of mini‑program engineering such as inconsistent environments and release issues, and how a custom DevOps workflow, automated testing, a bespoke CLI tool, and Serverless cloud functions were introduced to create a unified, scalable cloud‑native development pipeline.
