This article introduces a comprehensive Shell Script Toolbox for Linux servers, outlines its Debian/Ubuntu support, provides step‑by‑step installation and execution commands using curl or wget, and lists related reference projects and the toolbox's GitHub repository.
This article explains why DevOps often feels idealistic, outlines ten practical DevOps practices such as Infrastructure as Code, Immutable Infrastructure, and Built‑in Quality, and then presents three concrete work methods to help teams successfully adopt DevOps in real‑world environments.
This article introduces pytest, a popular Python testing framework, outlining its key features, installation steps, how to write and run basic, parameterized, and parallel tests, generate HTML reports, and integrate with CI/CD pipelines, providing code examples throughout.
This article presents twenty practical custom Bash functions covering file existence checks, directory listings, size retrieval, command verification, date and time handling, colored output, delays, root detection, IP fetching, random string generation, port checking, service control, and email sending, each with concise code examples for easy integration into scripts.
This guide provides a collection of ready‑to‑use Bash scripts for daily Nginx log rotation, log analysis, server resource monitoring, inode warnings, malicious IP blocking, bulk file renaming, scheduled log clearing, Apache process supervision, and both single‑ and multi‑database MySQL backups.
This guide explains how to install, configure, and apply the pytest‑rerunfailures plugin—including basic –r usage, example test files, configuration files, advanced custom rerun conditions, and the @pytest.mark.flaky decorator—to improve stability of intermittent Python test failures.
This article presents a curated set of Python automation scripts covering clipboard management, code quality analysis, file integrity checks, stock price forecasting, bulk image downloading, network port scanning, secure password storage, mass email dispatch, README file creation, and intelligent file organization, each accompanied by concise explanations and ready‑to‑run code examples.
This article describes how KooJiaLe, a leading 3D design company, built an AI‑powered platform that uses large language models to automate test case generation, detailing its workflow, generation modes, editing features, export options, optimization efforts, results, and remaining challenges.
This guide provides a comprehensive overview of Ansible's ad‑hoc command options and the most frequently used modules—including shell, copy, template, file, fetch, synchronize, yum, service, user, and cron—detailing their parameters, usage examples, and best‑practice tips for efficient automation.
This article presents ten indispensable tools for operations engineers—detailing each tool’s functionality, ideal use cases, advantages, and real‑world examples, from shell scripting and Git to Ansible, Prometheus, Grafana, Docker, Kubernetes, Nginx, the ELK stack, and Zabbix, helping professionals streamline automation, monitoring, and deployment tasks.
This article explains the fundamentals of continuous integration and continuous deployment, introduces GitHub Actions as a CI/CD platform, and provides a step‑by‑step guide with sample workflow files and code snippets for automating Android builds, testing, and releases.
This tutorial walks through installing pytest, organizing a project structure, creating configuration files, encapsulating HTTP requests and MySQL operations, writing fixtures and test cases for APIs and databases, running the tests, generating coverage reports, and summarizing the testing workflow.
This article explains how Bilibili designed and implemented an Emergency Response Center (ERC) to manage the full fault lifecycle—detection, response, delimitation, localization, mitigation and recovery—using alert rules, automated recall, integrated customer feedback, clear role assignments, mobile support, and data‑driven post‑mortems, ultimately reducing MTTR and improving service reliability.
This article presents ten practical Python scripts that automate everyday tasks such as renaming files, creating ZIP backups, merging PDFs, replacing text, compressing images, scraping web pages, processing Excel data, sending emails, parsing logs, and searching files, each accompanied by ready‑to‑run code examples.
This article explains how the AutoBots platform leverages AI agents to streamline industrial B2B order fulfillment, eliminate multi‑step communication, enable instant 30‑second issue resolution, improve address verification, reduce tax risks, and deliver measurable performance gains across logistics and operations.
While AI can automate many routine DevOps tasks such as scripting, CI/CD pipeline creation, and infrastructure design, it cannot replace the contextual understanding, critical thinking, experience, and judgment of senior DevOps engineers, who will evolve into architects and innovators rather than being rendered obsolete.
This article walks through creating a Juejin comment bot that polls for article links, uses the 豆包 MarsCode AI IDE to generate summarization code via its API, and automatically posts the summary back as a comment, covering environment setup, task breakdown, code generation, and deployment.
An AI-driven test case generation platform at KuJiaLe leverages multiple large language models, offering three input methods, online editing, and dual export options, while addressing stability, length limits, and security challenges to improve testing efficiency and achieve over 80% success rate.
This article walks through a Python‑based solution that extracts files sharing specific keywords, pulls numeric data from the second column, and concatenates the results horizontally using pandas, providing clear code snippets and practical tips for automating such file‑processing tasks.
This article explains how Python can automate common operations tasks—remote command execution, log parsing, system monitoring with alerts, batch software deployment, and backup/restore—providing code examples and highlighting the benefits for sysadmins.
This article compiles ten practical operations‑engineer guidelines—ranging from change rollbacks and safe command aliases to backup verification, monitoring, and cautious automated failover—to help maintain high availability and avoid costly production incidents.
This tutorial explains how to create an automatic math‑grading tool in Python by generating synthetic digit images, training a small CNN on the data, segmenting handwritten equations with projection techniques, recognizing characters, evaluating the expressions, and overlaying the results back onto the original image.
This tutorial demonstrates how to use the python‑docx library to extract text and images, create new documents, replace content, add pictures, build and fill tables, delete paragraphs, set styles, and insert headers and footers in Word files, providing ready‑to‑run code examples for each operation.
This comprehensive guide explains why Linux system monitoring is crucial, outlines key metrics such as CPU, memory, disk I/O, network, and process usage, recommends essential command‑line tools, and provides advanced techniques, automation scripts, best practices, and common pitfalls to ensure reliable, secure server performance.
This guide outlines a step‑by‑step method for recognizing critical APIs, evaluating their importance and complexity, assigning priority levels, and preparing the necessary people, tools, and CI/CD processes to implement effective API automation testing.
This article presents a curated collection of Bash scripts that automate key Linux operations such as MySQL replication monitoring, directory change detection, bulk user creation, website health checks, remote command execution, one‑click LNMP deployment, resource usage reporting, high‑resource process identification, and automated Java and PHP project deployment.
This article explores the progression of IT operations—from manual processes through automated DevOps, to AI‑driven AIOps and chat‑based ChatOps—examining concepts, advantages, tools, and future possibilities, while also reflecting on how these trends reshape the role of operations engineers.
This guide explains how to use MySQL 8.0's --init-file startup option to automate password resets by creating an init script, launching the server with it, and securely cleaning up, highlighting its speed, minimal downtime, and automation suitability.
This article explains the Python globals() function, shows how it returns a dictionary of all global variables, and provides numerous practical examples—from retrieving and modifying globals to dynamically configuring test environments and generating test cases for API automation.
This guide walks through ten practical Python examples for parsing, constructing, validating, updating, deleting, and iterating JSON data via HTTP requests, including custom date serialization and schema validation, each demonstrated with complete code and expected outcomes.
This article provides a detailed overview of over a hundred essential Python libraries spanning environment management, packaging, file handling, date‑time utilities, text processing, office document formats, databases, networking, web frameworks, and concurrency, illustrating Python's vast ecosystem for diverse development needs.
This article outlines a typical operations incident workflow, identifies four key stages where large language models can assist, discusses implementation challenges, introduces the Ops framework and Copilot design, and shares practical examples and a real‑world case to help engineers adopt AI‑driven fault management.
This article analyzes the current state of DevOps adoption in China, presents detailed CI/CD capability levels with a maturity model table, and discusses future operational trends such as automation, AIOps, security integration, observability, and reliability engineering to guide enterprises toward more efficient software delivery.
This guide shows how to set up automatic Windows file backup to ZhiHui Cloud OBS using rclone for mounting and FreeFileSync for synchronization, covering bucket creation, AK/SK setup, tool installation, mounting commands, and real‑time sync configuration.
This guide presents beginner to advanced Python techniques for formatting and reporting API test results, covering print statements, logging, JSON, markdown tables, pytest reports, unittest with HTMLTestRunner, Allure, coverage analysis, data visualization, and Selenium‑wire network capture, with practical code examples and best‑practice notes.
The article explores Heidegger’s concept of "Bestand" (resource), explains how it transforms our view of objects into readily usable assets, and examines its impact on software testing—from automation tools and virtualized environments to CI/CD pipelines and outsourced test resources—highlighting both efficiency gains and potential quality blind spots.
Bilibili’s Emergency Response Center (ERC) unifies incident detection, rapid response, precise scoping, and coordinated recovery through multi‑dimensional alerts, automated collaboration, standardized updates, and post‑mortem analysis, targeting 1‑minute detection, 3‑minute response, 5‑minute scoping, and 10‑minute recovery, which has cut MTTR, achieved over 80% automatic recall accuracy, and met more than 60% of its 1‑3‑5‑10 performance goals.
This article introduces V0, an AI‑driven tool from Vercel that transforms natural‑language prompts or design screenshots into ready‑to‑use React, HTML, and Tailwind CSS code, compares it with other front‑end solutions, and provides step‑by‑step guidance on creating, editing, and exporting components.
This guide reviews ten indispensable tools for operations engineers, outlining each tool's core functions, typical use cases, key advantages, and real‑world examples, while providing practical code snippets and configuration tips to boost automation and monitoring efficiency.
This article introduces seven noteworthy open‑source Python repositories—including Pandas, Apache Airflow, G4F, Scrapy, Ultroid, Zulip, and Freqtrade—highlighting their key features, typical use cases, and where to find them, offering developers a curated guide to valuable tools for data analysis, workflow automation, web crawling, chat bots, team collaboration, and crypto trading.
This article explains how modern frontend applications use comprehensive monitoring, real‑time alerts, performance metrics, custom reporting, and scheduled inspections to maintain system stability, improve user experience, and proactively address errors across web, mini‑program, and native platforms.
This article explains why maintaining up‑to‑date database schema documentation is essential, introduces the Screw tool and its supported databases and output formats, and provides a step‑by‑step SpringBoot 3.2.5 example—including Maven dependency, configuration classes, a generation component, and a test—to automatically produce HTML, Word, or Markdown docs.
This article outlines a comprehensive set of automated operations scripts, including baseline checks, service monitoring, Docker and Kubernetes maintenance, security inspections, and a well‑organized directory layout with roles, system, network, database, application, security, automation, and infrastructure sections.
This article presents ten practical Python scripts that automate tasks such as backing up files, downloading data, renaming and processing CSV files, monitoring network status, sending emails, synchronizing directories, scraping web pages, analyzing logs, and scheduling recurring jobs.
This article presents a comprehensive guide to pytest, covering parameterized tests, reusable fixtures, dynamic test generation, plugin extensions for coverage and HTML reports, logging capture, nested tests, test ordering, module‑level fixtures, exception handling, parallel execution, mocking, dynamic registration, custom command‑line options, and test insertion for debugging.
This guide explains the difference between Python's shallow and deep copy mechanisms, shows the built‑in tools available, and provides ten concrete code examples covering lists, dictionaries, custom objects, tuples, sets and multi‑level nesting to help you choose the right copying strategy for reliable API test automation.
This guide explains how to set up Jenkins Pipeline to automate the build, test, and deployment process of a PHP project, covering prerequisite installations, pipeline creation, Jenkinsfile authoring with example code, and execution steps to achieve reliable CI/CD.
Learn the essential mobile app compatibility testing tools—including Appium, Calabash, Robot Framework, Selendroid, TestFlight, BrowserStack, and more—plus a practical Python unittest example that demonstrates how to verify element presence across devices and OS versions.
This article explains how modern front‑end teams ensure system stability and high‑quality operation by implementing comprehensive monitoring and automated inspection, covering background, significance, architecture, real‑time and scheduled checks, performance metrics, alert strategies, error handling, custom reporting, and future improvement plans.
An extensive guide presents 17 practical Python scripts covering file management, web scraping, email handling, Excel processing, database interaction, system tasks, image editing, network automation, data cleaning, PDF manipulation, GUI automation, testing, cloud services, finance, and natural language processing, enabling readers to streamline workflows and boost productivity.
This comprehensive guide walks you through the fundamentals of Linux shell scripting, covering why it matters, essential prerequisites, variable handling, string manipulation, arithmetic operations, condition testing, control structures like if/else, for/while loops, functions, case statements, and array usage, all with clear examples and practical code snippets.
This article presents a detailed case study of Ctrip's large‑scale desktop IT management solution, describing the challenges of handling tens of thousands of office PCs, the full‑link architecture built with Rust, Tauri, SpringBoot and Django, automated health monitoring, fault detection, remediation workflows, security measures, performance optimizations, and the measurable operational improvements achieved.
This guide outlines a comprehensive, automated strategy for operating more than ten thousand network devices, covering asset documentation, topology planning, unified monitoring, automation scripts, emergency response, security management, regular maintenance, staff training, and visual management tools.
The article presents a comprehensive overview of Google’s code‑coverage system, describing its metrics, integration into the daily development workflow, underlying infrastructure, visualization tools, data‑driven analysis of five years of coverage data, and developer survey results that reveal adoption patterns and perceived usefulness.
This article introduces ten indispensable tools for operations engineers, detailing each tool's functionality, ideal use cases, key advantages, and practical examples, while also providing code snippets and visual illustrations to help readers understand and apply them effectively.
This article demonstrates a simple Python method for identifying and removing duplicate files by leveraging the built‑in os module, explaining how to list directory contents, construct file paths, and use os.remove() to delete unwanted copies, complete with example code and usage notes.
The article outlines Google’s release engineering principles, roles, and processes—including self‑service, frequent high‑speed releases, sealed builds, policy enforcement, configuration management, and the Rapid system—to illustrate how automated, reliable software delivery is achieved at scale.
This article explains why true observability is essential for modern software, outlines its five core pillars, details a four‑stage maturity model with benefits and drawbacks, and provides practical steps—including data collection, team organization, and AI automation—to advance from basic monitoring to predictive, self‑healing systems.
This article introduces fifteen of the most useful Python libraries—including Dash, Pygame, Pillow, Requests, and BeautifulSoup—explaining their core features and typical use cases, making it a concise guide for developers seeking to expand their Python toolkit.
The 2024 XOps Industry Innovation Forum in Beijing unveiled the China DevOps & BizDevOps State Survey, revealing that over 6,300 enterprises participated, with more than 60% adopting agile practices, 83% using containers or VMs, and a growing focus on automation, testing, and BizDevOps transformation across diverse sectors.
This guide demonstrates how parameterized Python decorators can streamline repetitive tasks in API automation testing—handling login tokens, retries, environment selection, data‑driven tests, logging, performance monitoring, permission checks, mock responses, cleanup, and test tagging—reducing code duplication and improving maintainability.
This comprehensive guide explains what cron jobs are, how the crond daemon works, the structure of crontab files, user versus system scheduling, syntax details, special characters, environment setup, creation, editing, listing, deletion, troubleshooting, and best practices for reliable Linux automation.
This article explains how the extract and validate features of HttpRunner can be used to retrieve data from HTTP responses and assert response correctness, providing multiple practical code examples for token handling, pagination, response time checks, and custom validation functions in API testing.
This guide explains how to set up httprunner 4.x, write YAML/JSON test cases, run them, use parameterization and environment variables, and generate HTML reports for efficient Python API automation testing.
This article presents a comprehensive collection of Bash scripts that perform tasks such as verifying file consistency across servers, scheduled log cleaning, network traffic monitoring, numeric analysis in files, automated FTP downloads, interactive number games, Nginx 502 detection, variable assignments, bulk file renaming, IP address validation, and various system administration operations.
At the WOT2024 conference, Qunar Travel’s CTO Zheng Jimin presented a comprehensive overview of AI-generated video production for international hotels, detailing challenges, AI-driven workflow automation, practical implementation steps, multilingual translation enhancements, and performance results, offering valuable insights for scaling high‑quality hotel video content.
The article presents a comprehensive case study of Ctrip's full‑chain desktop operations system, detailing its architecture, cross‑platform Rust/Tauri agents, SpringBoot server, security measures, operational challenges, performance optimizations, and the measurable improvements in fault detection and repair across a massive corporate PC fleet.
GitLab CI/CD provides a powerful, automated workflow for building, testing, and deploying code, and this guide explains its core concepts—jobs, pipelines, stages, artifacts, dependencies, conditional execution—while offering detailed .gitlab-ci.yml examples, local debugging techniques, caching strategies, environment isolation, and security best practices.
This article introduces Ansible as an open‑source automation tool, explains its declarative, abstract and idempotent characteristics, shows how to install it with pip, outlines its core architecture components, describes its working principles, and provides usage examples for its seven main commands.
This guide explains how to create and organize Ansible inventory files by defining individual hosts, host groups, nested groups, and using patterns or wildcards to select targets, while also covering configuration file priority, essential settings, and a step‑by‑step example for secure, password‑less automation.
This guide walks through a real‑world operations scenario, showing how to write and run a Bash script that uses the sort command with numeric and field options to correctly order a list of IP addresses for easier log analysis and network troubleshooting.
This article demonstrates ten practical methods for handling dynamic parameters in Python API automation testing, covering dictionaries, loops, pytest parametrization, fixtures, unittest, decorators, generators, class attributes, reflection, and external data sources like CSV.
This guide presents a detailed five‑level competency framework for test development engineers, covering test analysis, design, planning, execution, reporting, project management, development, security, performance, automation, and related technical skills, with behavior grades and descriptions for each area.
This article introduces seven powerful Python libraries—Pandas, Selenium, Flask, Scrapy, Requests, Faker, and Pillow—explaining their core features, typical use cases, and providing ready‑to‑run code snippets to help developers boost productivity and automate routine tasks.
This article presents a comprehensive case study of NetEase Cloud Music's automatic upgrade platform, detailing the background challenges, technical architecture, sidecar versus component upgrades, workflow orchestration, operational safeguards, performance metrics, and future roadmap for large‑scale microservice migrations.
This comprehensive guide walks front‑end developers through the evolution of deployment methods, shows how to automate builds with custom Node scripts, details step‑by‑step Jenkins installation on CentOS, explains Freestyle and Pipeline project setups, and provides practical code snippets for a fully automated CI/CD workflow.
This article explains how the TolyUI Flutter UI framework automates the parsing of component demo files and generates corresponding Dart code using annotations, regular expressions, and a command‑line tool, thereby simplifying maintenance and improving development efficiency for mobile applications.
This article explores traffic recording and replay techniques, detailing their principles, benefits, risks, and practical guidelines—including filtering, deduplication, special‑scenario handling, real‑time vs offline diff, and mock strategies—to help teams ensure system stability and comprehensive test coverage.
The article provides a detailed technical analysis of Microsoft’s preview‑only Python in Excel feature, outlining its current capabilities, major limitations such as lack of VBA replacement, restricted package usage, cloud‑dependency, and workflow friction, while suggesting improvements and alternative approaches for data‑centric users.
This article explains how Baidu Cloud evolved its physical network fault‑location workflow—from manual analysis and integrated multi‑signal algorithms to AI‑driven reasoning with large language models—highlighting structured prompting, multi‑agent collaboration, and measurable improvements in accuracy and automation.
Learn how to set up a lightweight, container‑based CI/CD pipeline using Drone and Gogs, install both tools via Docker, configure servers and runners, write .drone.yml scripts, and automate building and deploying a SpringBoot e‑commerce project, all with minimal memory usage.
This article presents ten useful Python automation scripts covering file renaming, web page downloading, data cleaning, scheduled tasks, email sending, testing, database backup, log analysis, file compression, and document generation, each with clear explanations and ready‑to‑run code examples.
This article details the architecture, business value, configuration, storage choices, performance challenges, and future plans of Bilibili's live streaming ranking system, explaining how it uses MySQL and Redis, supports automated scoring, and handles high‑traffic read/write demands.
This article compares JMeter and Python for interface automation testing, highlighting JMeter's ease of use for beginners versus Python's flexibility for advanced customization, with a detailed learning plan for Python.
The team refactored a high‑traffic Vue2 detail page to Vue3 using Clean Architecture, separating entities, use‑cases, adapters, and framework layers, while employing AST‑based tooling, comprehensive unit/E2E/visual tests, and a gray‑release strategy, resulting in reduced duplication, better test coverage, and a reusable migration pipeline.
Generative AI is rapidly reshaping software development by automating code creation, error detection, and testing, prompting a debate on whether it serves as a powerful assistant that boosts productivity or as a force that could replace certain developer roles, while also shifting required skill sets.
This article presents 17 versatile Python scripts that automate common tasks such as file management, web scraping, email handling, Excel processing, database interaction, system administration, and more, offering code examples and explanations to help developers and analysts improve productivity.
This article examines how AI‑generated code is reshaping continuous integration and delivery, outlines the specific challenges of adapting CI pipelines for AI assistance, and provides practical best‑practice recommendations for teams seeking to improve efficiency, quality, and security in DevOps workflows.
This article reviews the transformation of IT operations from manual processes to automation, AIOps, and ChatOps, and explains how large language models can further enhance intelligent monitoring, automated diagnosis, and knowledge‑base assistance to improve system stability and response speed.
From manual server management to automated scripts, AIOps, and ChatOps, this article traces the evolution of IT operations and demonstrates how large language models boost efficiency, enable intelligent assistants, automated diagnostics, and smart log analysis, aiming for rapid fault detection, localization, and resolution.
This article explores the latest concepts, planning roadmap, and practical applications of large‑model AI in intelligent operations, detailing AIOps use cases, system‑level automation, multi‑agent architectures, and how a dedicated platform accelerates deployment and efficiency across data‑center environments.
SEO is a systematic discipline that hinges on three pillars—high‑quality, original content, superior user experience, and strong site authority—requiring coordinated strategies for content planning, creation, maintenance, technical performance, and automation to sustainably boost rankings, traffic, and conversion.
This article explains how to use Jenkins for front‑end automated deployment, comparing Pipeline and Freestyle projects, detailing the overall architecture, step‑by‑step deployment process, core pipeline scripts for Git handling, dependency copying, building, backup, upload, update, cleanup, and email notifications.
Meituan’s Tech Salon Session 77 describes how the company built a generic JavaScript‑hooking SDK packaged as an NPM module to give mini‑programs on platforms such as WeChat, Alipay and Kuaishou observable and controllable capabilities across UI, storage, network and system layers, enabling automated cache management, request mocking, state inspection and visual diff testing, which the ticket team leveraged to achieve over 30 % test scenario coverage, 100 % page coverage and discover hundreds of defects, while outlining future plans to stabilize and expand the framework.
This article introduces eight Python libraries—Optuna, ITMO_FS, Shap-hypetune, PyCaret, floWeaver, Gradio, Terality, and Torch-Handle—that streamline data science tasks such as hyperparameter optimization, feature selection, model building, visualization, and rapid prototyping, helping users save coding time and improve productivity.
This article outlines a comprehensive plan to use large language models for real‑time, cost‑effective multilingual support, building a shared terminology library, enabling user‑driven term edits, automating translation pipelines, and ensuring seamless versioning and fallback mechanisms across international logistics systems.
This article demonstrates how to perform GET and POST requests, maintain sessions, handle retries, pass query parameters, validate responses with JSON Schema, upload files, run automated tests, and improve performance with multithreading and streaming downloads using Python's Requests library.
The article explains how Google tackles the costly problem of dead code in its massive monorepo by using the Sesenmann automated deletion system, which leverages build‑system dependency graphs, activity signals, and graph‑analysis algorithms to safely identify and remove unused C++ code while addressing cultural resistance among engineers.
Discover ten useful Python automation scripts—including batch file renaming, web scraping, scheduled email alerts, data backup, social media monitoring, PDF merging, spreadsheet processing, image compression, network checks, and system resource monitoring—that simplify everyday tasks and enhance efficiency.
This tutorial demonstrates how to install Selenium, log into QQ Space, and programmatically retrieve both status updates and album photos using Python's Selenium and BeautifulSoup libraries, including detailed code examples for login, scrolling, and image downloading.
