This guide shows how to use Python, Selenium, and requests to log into QQ Space, retrieve authentication cookies, compute the required g_tk token, fetch the full friend list via QQ's API, identify users who have blocked you, and optionally blacklist them automatically.
This guide shows how to build a WeChat bot using the PyWeChatSpy library and Tuling AI API, covering registration, API key acquisition, image folder setup, and a complete Python script that parses messages, replies to 'pats' with random images, and forwards other texts to the Tuling service for automatic responses.
This article presents a Go‑based solution for large‑scale SEO sitemap management that incrementally generates shards, automatically updates the index, cleans up old files, and pings search engines, all without external libraries or storage dependencies.
This article introduces a lightweight Bash script that, with one curl command, automatically gathers CPU, memory, disk, and network information from a Linux server and outputs a formatted, color‑coded report in seconds, dramatically simplifying routine ops tasks.
This article explains Jenkins pipelines, compares declarative and scripted syntax, walks through agents, stages, steps, post actions, parameters, options, triggers, input, conditional execution, parallel builds, environment variables, and credential handling, providing concrete Jenkinsfile examples for each concept.
The article introduces BMad Method, a universal AI‑agent framework for agile, human‑AI collaborative development, detailing its core features, dual deployment modes, installation steps, project structure, agent team roles, workflow examples, a hands‑on tutorial for building a To‑Do app, extension ecosystem, and key advantages.
This guide walks through building an n8n workflow that periodically pulls hot articles from multiple RSS sources, enriches each item with a source tag, merges, filters, formats the data, writes it into a Feishu spreadsheet, and finally pushes a notification to a Feishu group, all without manual intervention.
This report examines the challenges of Web UI testing in Tencent's advertising platform, analyzes current inefficiencies, and presents an AIGC-driven solution that leverages large language models, semantic scripts, and automated pipelines to dramatically improve test case generation, execution accuracy, and CI/CD integration.
This article introduces eight core MCP components—Grafana, Jenkins, K8s, Playwright, GitHub, Zabbix, Prometheus, and Alibaba Cloud—detailing how each enhances monitoring, automation, resource management, and performance optimization, thereby dramatically improving operational efficiency and reducing manual workload.
This article introduces Terraform, an open‑source Infrastructure as Code tool, explains its core concepts such as declarative programming, resources, providers, and state management, and walks readers through the complete workflow from writing configurations to applying and destroying cloud resources.
This guide walks you through setting up a basic CI/CD workflow using Jenkins, Maven, and Git on three servers—GitLab, Jenkins, and a test machine—covering prerequisites, project creation, pipeline configuration, Maven builds, SSH publishing, and cleanup scripts to achieve automated deployment.
This article introduces seven essential Laravel packages—IDE Helper, Debugbar, Spatie Permission, Nova/Filament, Excel, Telescope, and Sail—that automate repetitive tasks, improve debugging, and streamline environment setup, collectively boosting development efficiency by up to tenfold.
The Industrial and Commercial Bank of China's Software Development Center built a technical parameter linking platform that centralized configuration, automated updates, and introduced audit and rollback features, cutting environment setup time by half and dramatically improving DevOps efficiency across thousands of applications.
This comprehensive guide walks you through Git operations for infrastructure-as-code, covering installation, SSH key setup, repository structuring, branching strategies, sensitive data handling, automation with hooks, backup, audit, monitoring, performance tuning, and security best practices for production environments.
Spec Kit is an AI‑native specification‑driven development toolkit that treats structured natural‑language specs as the single source of truth, providing end‑to‑end traceability, AI‑native collaboration, and automated code generation to accelerate project setup, planning, and implementation.
This comprehensive guide explains how to diagnose MySQL master‑slave replication lag, enable GTID mode, configure semi‑synchronous replication, optimize multi‑threaded replication, set up monitoring and alerting with Prometheus, and perform zero‑data‑loss failover using tools like Orchestrator and custom scripts.
Discover five powerful Python command-line utilities—httpie for readable API calls, glances for real-time system monitoring, rich-cli for colorful output, howdoi for instant Stack Overflow answers, and csvkit for advanced CSV manipulation—each with installation steps and practical examples to streamline your development workflow.
This article walks through setting up three servers (GitLab, Jenkins, and a test machine), creating a GitLab project and token, configuring Maven and Jenkins plugins, defining Git, branch, and Maven settings, and implementing pre‑ and post‑steps—including a cleanup script and SSH publishing—to automatically build and deploy a Spring Boot JAR, while addressing common pitfalls such as missing manifest attributes and port conflicts.
Discover ten lesser‑known Jupyter Notebook features—from magic commands that list variables and benchmark code to shortcuts, export utilities, and interactive help—that turn a simple notebook into a highly efficient, production‑ready data‑science workspace.
Discover why Go developers need hot reload, explore classic tools like fresh and air, compare alternatives such as modd and wgo, and learn advanced techniques—including plugins, hot restart, and WASM—to achieve faster iteration while understanding their limitations for production use.
This article introduces four cutting‑edge open‑source AI projects—Glass, CraftGPT, AI Trend Publish, and Klavis—detailing how they read screens and audio, run language models inside Minecraft, auto‑generate AI‑focused articles, and integrate dozens of external tools for powerful, automated assistance.
This article outlines the design and value of an automated service quality monitoring platform, detailing its core benefits—intelligent detection, automated execution, data‑driven decisions, and precise notifications—along with functional architecture, key modules, code examples, technical requirements, and practical recommendations.
This article details how a logistics technology team built an AI‑plus‑prompt, three‑layer architecture framework that raised AI code adoption from 9.6% to 89.2% and improved demand delivery efficiency by 23.6%, while outlining quality safeguards, reusable templates, real‑world case studies, and future AI‑driven development plans.
This article explains why the built‑in systemd timer engine is a more reliable, observable, and feature‑rich replacement for traditional crontab, and provides a step‑by‑step guide to rewrite, configure, and manage your scheduled tasks on Linux.
This article presents a comprehensive strategy for automating UI testing of a complex front‑end parameter model editor by generating real‑time baseline screenshots in production, comparing them with test runs, visualizing diffs in Allure reports, and dramatically improving defect detection and maintenance efficiency.
This guide explains what LangChain toolkits are, why they simplify building domain‑specific AI agents, lists common built‑in toolkits, and walks through the step‑by‑step process of instantiating a toolkit, retrieving its tools, and creating an OpenAI‑powered agent, illustrated with a SQL database example.
This article explains how PaddleOCR, an open‑source OCR engine from Baidu, achieves high‑accuracy text extraction from handwritten notes, scanned PDFs, invoices, IDs and multilingual documents, offering offline cross‑platform support, free commercial use, and step‑by‑step guidance for rapid deployment.
The article explains that CI/CD is a set of automation tools while DevOps is a collaborative culture, shows how they complement each other, and provides three practical actions—defining business scenarios for CI, syncing test‑environment needs with ops, and monitoring quality post‑deployment—for test engineers without coding skills.
Learn a quick, step‑by‑step method to capture a website’s UI, convert it into a design.json file, and use that JSON to guide AI tools in producing a visually faithful web page without the tell‑tale purple gradient.
Learn how to transform a vulnerable MySQL 8 instance into a militarized, audit‑ready database in just half an hour by applying six ready‑to‑run shell and SQL scripts that disable high‑risk accounts, enable enterprise audit logging, enforce SSL, prune privileges, rotate root passwords, and generate compliance reports.
This guide curates over 500 real‑world AI agent use cases, a comprehensive student resource hub, collections of MCP servers, a Docker‑based Windows runtime, AI‑focused automation platforms, and a YAML‑driven workflow engine, each with direct GitHub links for quick exploration.
This article compiles 50 detailed IT operations projects across infrastructure, cloud, containers, automation, monitoring, security, databases, networking, disaster recovery and DevOps, each with scenario, tech stack, implementation steps and quantifiable results to help you craft standout résumé entries.
After a costly midnight outage, the author shares how he designed a three‑layer Zabbix monitoring architecture—covering infrastructure, service, and business metrics—optimizing alert thresholds, automating discovery, and integrating with ITSM, ultimately reducing MTTR to minutes and enabling teams to sleep peacefully.
This article shares ten practical automation operations practices—from infrastructure as code and configuration layering to GitOps, self‑service platforms, and AI‑driven monitoring—illustrating how teams can evolve from reactive fire‑fighting to proactive, scalable, and cost‑efficient architecture.
This guide presents a production‑tested Linux hardening strategy that combines advanced firewalld zone and rich‑rule configurations with precise SELinux context management, offering step‑by‑step commands, custom scripts, troubleshooting tips, and performance optimizations to protect servers from the majority of common attacks.
The open‑source "reinstall" shell script automates full‑system reinstall for Linux, Windows, and popular NAS platforms, handling hardware detection, network configuration, and disk partitioning with a single command, making VPS and server provisioning fast, secure, and hassle‑free.
This article explains Jenkins' fundamental concepts—including jobs, nodes, pipelines, plugins, and credentials—and shows why its powerful scheduling, rich ecosystem, stability, and pipeline‑as‑code approach make it ideal for building automated API testing CI/CD workflows, illustrated with a complete Jenkinsfile example.
This guide walks you through installing the zabbix-get service, deploying and starting Nginx, creating a Bash script for status checks, adding a custom UserParameter, validating the items on the Zabbix server, and configuring UI items and triggers to monitor Nginx health.
This guide shows how to quickly and affordably deploy the n8n automation platform on Zeabur, covering core concepts, one‑click template installation, region selection, domain configuration, version upgrades, cost‑control strategies, and troubleshooting tips for a reliable workflow service.
Python remains a top language in 2025 thanks to its simple syntax, massive library ecosystem and broad applicability, and this article curates ten GitHub repositories—ranging from AI and data‑science tutorials to automation scripts and beginner‑friendly projects—each explained with concrete reasons why they’re valuable for learning and building real‑world applications.
In just five minutes, I used the WeaveFox AI coding platform to recreate a quirky "hand‑counting" calculator by prompting natural language, iterating through form‑based tech‑stack selection, and letting multiple AI agents generate, refine, and deploy the full front‑end application.
AI can streamline every stage of JMeter performance testing—from automatically drafting test plans and generating JMX scripts to real‑time log analysis, adaptive load control, and automated result interpretation and reporting—while emphasizing the need for engineer verification, data confidentiality, and handling of AI’s context limits.
The article demonstrates how Tencent's Hunyuan large model can generate and iteratively refine Python scripts that automatically compare Excel‑based reports, highlight differences, and handle multiple files, thereby streamlining regression testing and reducing manual effort.
Learn how a lightweight Python script can automatically parse complex Nginx configuration files, extract upstream, server, and location details, and generate a structured Excel report for easy auditing, analysis, and collaboration, streamlining operations and configuration management.
This article provides a comprehensive, enhanced Docker automation Bash script—docker‑manager.sh—covering container lifecycle commands, image cleanup, backup, network inspection, log viewing, and configuration export, along with step‑by‑step usage instructions and additional handy Docker commands for efficient container management.
This guide walks through configuring custom Nginx log formats, implementing log rotation, analyzing performance, status codes, and traffic with shell and awk tools, automating real‑time monitoring via Python and Bash scripts, integrating ELK for deep analytics, and applying best‑practice security and optimization recommendations to dramatically reduce troubleshooting time.
This article shares how a team reduced deployment failures from 15% to 0.3% and cut average deployment time from 35 minutes to 8 minutes by integrating Docker Swarm container orchestration with a fully automated CI/CD pipeline, covering architecture choices, pipeline stages, stack configuration, optimisation tips, monitoring, and future AI‑driven ops trends.
This article details how Ant Group’s international credit team applied AI‑assisted code generation using CodeFuse plugins and custom prompts to automatically transform system specifications into Java façade, persistence, and business‑logic code, achieving a 40% reduction in coding effort across multiple projects.
This article walks through using large language models such as Claude, Gemini, DeepSeek, and Kimi to generate accurate, colorful UML diagrams via Mermaid syntax, covering model selection, prompt engineering, step‑by‑step demonstrations, and practical tips for reliable AI‑driven diagram creation.
The 2025 WEF‑BCG Physical AI whitepaper reveals how advanced perception, autonomous decision‑making, and dexterous manipulation enable robots to shift from rigid, high‑volume tools to flexible partners, boosting efficiency by over 30% across manufacturing and logistics while reshaping workforce roles.
This article explores the full lifecycle of automation process management, covering definition, planning, design, execution, monitoring, quality and security controls, continuous optimization, common pitfalls, and practical steps to transform automation from isolated scripts into a sustainable, measurable organizational capability.
This article introduces a comprehensive, free Shell scripting handbook that covers everything from basic syntax and variables to advanced functions, flow control, and real‑world automation tasks, making it an essential resource for Linux system administrators and developers.
This comprehensive guide walks you through every aspect of Shell script programming—from fundamental syntax and variables to advanced functions, control structures, and real‑world automation examples—empowering Linux administrators and developers to automate tasks efficiently.
This article presents an LLM‑driven intelligent data platform ingestion solution that automates schema recognition, mapping, quality rule extraction, and package building, reducing integration cycles from three months to three days while eliminating manual effort and enhancing scalability and control.
This article explores how AI can augment traditional Linux system administration—covering intelligent log analysis, predictive resource management, anomaly‑based security monitoring, automated remediation, and human‑AI collaboration—through concrete case studies and step‑by‑step demonstrations.
This article describes how the author streamlined multilingual resource handling for a ticketing and hotel project by replacing manual Excel‑based workflows with a Node.js script that generates JSON locales, enforces key naming conventions, and runs with a single command, dramatically improving efficiency.
This article introduces fe-js-utils, a highly configurable JavaScript CLI tool that automates the extraction of hard‑coded Chinese strings, generates common and module‑specific locale files, intelligently classifies text, and replaces literals, dramatically accelerating internationalization workflows for front‑end projects.
This guide explains how to treat AI coding tools as code reviewers rather than assistants, detailing mindset shifts, practical steps, ideal use cases, collaboration models, and common pitfalls to help developers boost productivity while maintaining code quality.
Learn how to create a professional, reusable Python HTTP client that streamlines API automation by automatically handling URL concatenation, colored logging, built‑in assertions, response timing, environment management, and structured results, turning repetitive request code into concise, readable one‑liners.
This article details the motivations, architecture, core capabilities, technical challenges, and future roadmap of an in‑house API automation testing platform that supports multi‑environment testing, CI/CD integration, low‑code scripting, and strict network security for enterprise development workflows.
Learn how to create self-contained batch scripts that initialize a PostgreSQL database, import SQL, and launch a Spring Boot JAR on Windows, enabling one‑click service startup without manual environment configuration, and see example directory layout and customization tips.
This article explains why a custom API test framework is needed, presents a modular architecture, and provides step‑by‑step implementations for multi‑environment configuration, colored logging, cookie management, unified API client, database assertions, Redis support, dynamic test data factories, and enterprise notification, all with full runnable code examples.
This comprehensive guide explains the core principles of Site Reliability Engineering, outlines a phased roadmap for enterprise adoption, details essential monitoring, automation, and reliability platforms, and addresses team structure, talent development, common challenges, and real‑world success stories to help organizations build effective SRE practices.
Changan Automobile’s Gaia platform V3.0 earned both international ITU and domestic DevOps certifications, demonstrating a mature, end‑to‑end DevOps system that dramatically shortened deployment cycles, reduced failure rates, and enhanced automation coverage, while outlining future plans for AI‑driven optimization and broader enterprise adoption.
This article explains how an AI‑driven multi‑agent platform automates fault postmortem generation, enriches analysis with memory management, prompt engineering, and RAG techniques, and delivers actionable insights for SREs, developers, and non‑technical stakeholders, ultimately shifting incident handling from reactive to proactive.
This step‑by‑step guide shows how to create a full‑stack, enterprise‑level DevOps CI/CD pipeline—from environment setup and Docker installation to Jenkins pipeline scripts, Kubernetes deployments, monitoring, security hardening, and cost‑optimisation—enabling teams to reduce release cycles from days to minutes within a week.
This guide walks operations engineers through recognizing intrusion signals, executing a step‑by‑step 24‑hour emergency response, performing digital forensics, cleaning the system, hardening security settings, and establishing continuous monitoring to prevent future attacks.
This article describes how to replace manual copy‑paste publishing on XiaoHongShu with a unified content‑management backend, share‑link generation, signature authentication, and a single‑click JavaScript SDK call that lets operators publish notes instantly across multiple accounts, dramatically improving efficiency and reducing errors.
Since the launch of Microsoft‑OpenAI Copilot in June 2022, AI‑assisted programming has evolved through tools like Cursor, Claude Code, and GPT‑5, and this article shares a multi‑layered strategy—including fast autocompletion, selective refactoring, large‑scale code generation, and common pitfalls—to help developers efficiently integrate AI into their workflow.
This comprehensive guide explains why modern operations engineers must cover the full technology stack, outlines common learning pitfalls, presents a three‑layer, nine‑domain knowledge framework, and offers a step‑by‑step, personalized roadmap with practical labs and career‑growth advice.
OpenAI will unveil Agent Builder at DevDay, a visual drag‑and‑drop canvas that lets users assemble AI agents from templates, logic nodes, connectors and tools, aiming to lower the barrier for creating production‑grade AI solutions and compete with automation platforms like n8n and Zapier.
Drawing on real-world incidents and Gartner 2023 data, this article reveals ten deadly operational pitfalls—from executing untested commands in production to inadequate backups—and offers concrete technical safeguards, process controls, and cultural practices to help engineers avoid costly errors and protect their careers.
Learn how Python’s modern pathlib module transforms messy file‑system tasks into elegant, cross‑platform code by replacing os.path strings with object‑oriented paths, covering core concepts, essential operations, automation scripts, and best‑practice tips for safer, more readable file handling.
This article compares the AI‑driven coding assistants Qodo and Cursor, examining their approaches to code review, testing, IDE integration, model support, customization, deployment options, and pricing to help developers choose the tool that best fits their workflow.
This article reveals why engineers are woken up at 3 am by noisy alerts, analyzes the evolution and pain points of monitoring systems, and presents five practical techniques—including severity grading, aggregation, dynamic thresholds, intelligent routing, and data‑driven effectiveness analysis—to transform alert noise into actionable, reliable notifications.
This article presents version 2.0 of a Go-based stock analysis system that upgrades data storage to SQLite, adds MA/MACD indicators, modular strategy engines, daily scheduling, and a Vue3 front‑end, providing full code snippets, configuration examples, and deployment instructions.
This article introduces a collection of shell scripts that automate system initialization across dozens of Linux distributions—including Rocky, AlmaLinux, CentOS, Ubuntu, Debian, openEuler, AnolisOS, OpenCloudOS, openSUSE, Kylin Server and UOS Server—detailing supported features, version‑specific OS compatibility, usage instructions, changelogs, and troubleshooting tips.
Discover a comprehensive automated operations framework that eliminates manual service restarts, reduces repetitive tasks by 80%, accelerates fault recovery from minutes to seconds, and boosts reliability through health checks, Kubernetes self‑healing, Systemd scripts, monitoring, and scalable deployment strategies.
This article presents a complete, step‑by‑step method for reducing average Kubernetes fault‑diagnosis time from half an hour to under three minutes, covering the root causes of slow manual debugging, a one‑click diagnostic script, efficient kubectl shortcuts, visual tools, log aggregation, automated response workflows, and real‑world case studies.
The article describes WaterFlow, an AI‑driven end‑to‑end development platform at Taobao that turns natural‑language requirements into PRDs, multi‑platform code, tests and releases, cutting iteration time from a week to two days and shipping over 30 features with more than 54,000 lines of generated code.
This article describes how a data‑engineering team built a suite of AI agents to automate requirement assessment, model review, code review, style enforcement, and problem diagnosis, turning tedious, error‑prone manual processes into fast, reliable, and scalable workflows that boost overall development efficiency.
This comprehensive DevOps training course covers theory, Jenkins, GitLab CI/CD, build tools, artifact management, SonarQube, Nexus, Docker/Kubernetes, VM deployment, Jira automation, and advanced extensions, providing step‑by‑step video tutorials for each topic.
This article introduces a custom IntelliJ IDEA plugin that automates the creation of Maven multi‑module Java projects, turning a tedious half‑hour setup into a 30‑second one‑click process, while offering smart dependency wiring, customizable templates, and detailed installation and usage instructions.
This article details how Tencent's advertising R&D team tackled lengthy, experience‑driven test case creation by deploying AIGC‑powered demand analysis, Prompt + RAG knowledge retrieval, and multi‑stage automated validation, ultimately boosting test case adoption from under 20% to nearly 60% while reducing manual effort and iteration time.
Learn how to design, install, configure, secure, monitor, and optimize a production‑grade NFS service—including step‑by‑step server and client setup, advanced permission controls, performance tuning, automated deployment scripts, backup strategies, and real‑world use cases—so you can reduce file‑sync time by up to 80%.
This article presents a curated collection of five open‑source AI‑related projects—including a comprehensive AI agent directory, a MacBook‑based digital scale, an invisible desktop assistant, a collaborative trading simulator, and Microsoft’s Magentic‑UI web helper—each with brief descriptions and GitHub links.
This article recounts a 3 AM MySQL outage, analyzes its root causes, and shares comprehensive operational strategies—including index optimization, connection‑pool tuning, slow‑query fixing, replication lag handling, monitoring metrics, automation scripts, performance tuning, security hardening, and future trends—to help DBAs prevent and resolve similar incidents.
This guide walks through a complete set of Bash scripts for building, starting, stopping, rolling back, and monitoring a Go backend service, explains signal handling in Go, and provides a curated list of useful open‑source Go projects and libraries.
Claude Code 1.0.123 upgrades user-defined slash commands into AI‑driven tools, allowing the Claude assistant to autonomously invoke commands like /lint or /deploy‑staging, turning manual shortcuts into automated actions that streamline development workflows.
This guide reviews essential Ansible modules—including ping, setup, file, copy, service, cron, yum, user, group, synchronize, mount, get_url, and command—explaining their purposes, key options, and providing practical command‑line examples for effective agentless automation.
This guide explains how to implement canary releases on Kubernetes using Argo Rollout, covering manual setup of production and canary environments, traffic splitting via Ingress annotations, and fully automated rollout steps with weight adjustments, pauses, and promotion to production.
Over a year after completing a five‑month, cross‑cloud migration of Huolala’s 40 PB offline big‑data platform—spanning storage, compute, services, and infrastructure—the team details the architecture, verification methods, high‑throughput migration tools, network isolation strategies, and lessons learned to guide similar large‑scale data migrations.
This article introduces Supervisor, a client‑server process monitoring tool, explains why traditional nohup deployments can be unstable, and provides step‑by‑step instructions for installation, configuration, command‑line usage, advanced features like process groups, signal handling, and auto‑restart policies to ensure reliable service operation.
Learn how to create a standardized Jenkins CI/CD pipeline that automates Android APK building, uploading to Pgyer, and notifying teams via DingTalk, eliminating manual errors, speeding delivery, and improving collaboration across development, testing, and product teams.
This comprehensive guide reveals essential CI/CD operational techniques—from pipeline bottleneck detection and Docker multi‑stage builds to parallel execution, smart testing, blue‑green and canary deployments, full‑stack monitoring, cost‑saving cloud strategies, and a real‑world e‑commerce case study—helping teams dramatically boost efficiency, reliability, and security.
AceFlow MCP turns complex software development into an AI‑driven, eight‑stage conversational workflow, offering beginners, AI coding enthusiasts, and enterprise teams a unified, secure, and automated project‑management solution with built‑in quality assurance and deployment tools.
This guide presents ten lesser‑known but powerful Linux utilities—such as at, systemd‑run, tuned, lsof/ss, journalctl, chattr, MOTD/issue, watch/diff, strace/ltrace, and hidden cron checks—each with practical examples to boost daily sysadmin efficiency and confidence.
This article explains how the k8s‑cluster‑inspector component automates Kubernetes cluster checks, enriches the findings with AI‑generated solutions, and outlines the end‑to‑end workflow and provider design that make the inspection results more reliable and actionable.
This article explains how the k8s-cluster-inspector tool automates Kubernetes inspections and, by integrating AI-generated answers, enriches issue data with detailed remediation steps, improving trust, product value, and user experience.
OpenAI’s new ChatGPT Developer Mode, now supporting the Model Context Protocol (MCP) with read‑write capabilities, lets developers activate connectors to update systems, trigger workflows, and orchestrate multi‑step automation directly from chat, transforming the assistant into a powerful enterprise automation platform.
