This article outlines the eight critical competencies—from Linux scripting to cloud‑native automation—that define the skill ladder for operations professionals and explain why mastering them is essential for career advancement and higher performance.
This article explains the essential concepts of continuous integration, delivery, and deployment, outlines the differences between monolithic and microservice CI/CD pipelines, and presents five practical best‑practice recommendations—including testing strategies, environment design, CI practices, configuration management, and failure handling—to improve DevOps efficiency in cloud‑native development.
This article outlines essential solution‑architecture design principles—including workload scalability, resilient construction, performance optimization, replaceable resources, loose coupling, service‑oriented design, appropriate storage selection, data‑driven approaches, constraint mitigation, pervasive security, and comprehensive automation—to help architects build robust, scalable, and maintainable systems.
This article explains how to automate batch document processing with LLM APIs by mastering the messages parameter, defining system, user, and assistant roles, and iteratively polishing system prompts through scripts or OpenAI's GPTs editor and Playground interfaces.
This guide demonstrates how to install pandas and openpyxl, then use Python to read, merge, batch‑process, extract, clean, rename sheets, export to CSV, and analyze data across multiple Excel files, providing complete code examples for each task.
This article explores eight of the most commonly used Ansible modules—including setup, command, shell, and script—detailing how they collect host information, filter data, execute commands, and run scripts, with practical code examples and tips to streamline everyday automation tasks.
This article analyzes the inefficiencies of legacy TV marketing slot configurations, outlines a new unified framework with batch configuration, cloud‑based settings, and automated validation, and quantifies the resulting multi‑fold improvements in operational speed, demand response, and testing efficiency.
This article walks through a Python community member's request to compute pre‑tax salary, individual income tax, and cumulative payroll figures from a net salary using pandas, presenting a corrected script, tax‑bracket logic, and a reusable solution for financial data automation.
The article explains how to transform abstract software requirements into executable specifications using scenario‑based BDD, outlines story‑granularity practices, describes a requirement‑instantiation workshop, and details automated verification techniques to improve DevOps efficiency and software quality.
The article walks through a DevOps engineer’s typical workday, from morning Slack checks and task planning, through code repository maintenance, build and release duties, coffee breaks, lunch with teammates, focused afternoon development, and evening family time, highlighting both technical and personal aspects.
This article provides step-by-step Bash scripts for automating daily MySQL database backups, compressing tables, cleaning old archives, and configuring master‑master replication, including detailed commands for dumping databases, creating tar.gz packages, and setting up replication parameters on Linux servers.
The article argues that depending on AI to write code can deprive developers of learning opportunities, cause skill decay, and ultimately make them vulnerable to being replaced, while acknowledging that some may prefer code review or embrace a post‑work future.
Ansible Inventory defines host lists and variables for automation; this guide explains its purpose, basic file format, verification commands, advanced grouping, variable settings, and privilege escalation techniques, providing practical code examples and tips to streamline server configuration and management.
This article outlines how test managers can protect project stability and quality by defining clear testing goals, selecting appropriate test types, planning resources, strengthening requirement management, enforcing strict testing processes, driving automation, integrating CI/CD, applying quality gates, managing defects, fostering team collaboration, monitoring metrics, and promoting knowledge sharing.
Bilibili’s 18‑month, multi‑regional data‑center migration moved tens of thousands of servers using a high‑frequency rolling strategy, combining meticulous planning, cross‑team coordination, automated rack placement and rigorous checklists to achieve significant cost savings, higher utilization, improved stability and greener operations.
This article compares low‑level, superficial ChatGPT usage with high‑level, collaborative approaches, highlighting how mindset shifts from treating the model as a simple tool to leveraging it as an intelligent partner can dramatically boost efficiency, creativity, and strategic advantage.
This article presents two Bash scripts that automate MySQL multi‑database backups with per‑table dumps and rotate Nginx access logs daily by moving them into month‑based directories and signaling Nginx to reopen its logs.
This guide explains why Playwright is a leading tool for frontend automated testing, walks through installing Node.js, Playwright and browsers, shows project configuration, provides runnable demo code, and demonstrates common GET and POST API requests, helping developers boost test efficiency and reliability.
Learn step‑by‑step how to configure HTTPS for a Docker‑run Nginx website on Azure using free Let’s Encrypt certificates, including environment setup, creating HTTP site, generating and installing SSL/TLS certificates, configuring Nginx for HTTPS, and automating renewal with Dockerized Certbot.
This article explains the definitions, goals, and real‑world applications of unit testing, integration testing, and system testing, illustrating each type with clear Python code examples that demonstrate how to verify functionality, interfaces, and overall system behavior in software projects.
Learn how to leverage SSH for remote command execution, including running single and multiple commands, handling interactive sessions with pseudo‑terminal allocation, executing multi‑line commands, and running both local and remote scripts with parameter passing, all illustrated with practical examples.
The article explores the growing importance of system reliability in China, the national regulations driving SRE adoption, Inner Mongolia Mobile’s successful Level‑3 SRE assessment at the 2024 GOPS conference, and insights from Deputy GM Zhang Yongtao on practices, challenges, and future plans.
HaiTong Securities successfully passed both the international ITU DevOps and domestic DevOps standards assessments, showcasing advanced IT operations, automation, and micro‑service architecture, while sharing detailed insights from its project leaders on implementation, benefits, and future DevOps plans.
This article examines the technical integration of AI video analysis with high‑precision laser ranging, detailing background research, key technologies, a practical solution for coal‑mining rail‑car monitoring, performance results, and broader industrial scenarios, while highlighting the benefits of sensor fusion for accuracy, reliability, and cost efficiency.
This article explains how to create a Jenkins Multibranch Pipeline, configure its branch sources, manage environment variables, support pull requests with plugins, and use organization folders to automatically discover and run pipelines across multiple branches.
From 2008 onward, the author chronicles the development of multiple DevOps systems, examining their origins, design choices, challenges, and evolution—including CI tools like CruiseControl, Hudson, Jenkins, custom plugins, metrics, platform engineering, and the impact of AI—offering insights for modern continuous integration and delivery practices.
This article explains how to create, configure, and use one‑click VSCode code snippets for multiple languages, covering snippet structure, configuration options, examples, special characters, built‑in variables and functions, and how to migrate snippets across projects.
This step‑by‑step guide shows how to generate a sample Excel file and then use pandas and openpyxl to read, write, update, filter, sort, group, format, chart, and finally save Excel workbooks, covering twenty essential operations for data automation.
This article outlines comprehensive strategies for test managers, covering daily responsibilities, building and motivating efficient test teams, handling conflicts, time‑critical testing, cross‑department coordination, performance evaluation, risk management, communication with non‑technical stakeholders, QA throughout the software lifecycle, tool selection, process optimization, and emerging testing trends.
This tutorial explains how to set up a Python environment, install the itchat and pyinstaller libraries, write a script that logs into WeChat and sends repeated messages to a specified contact, and then package the script into a standalone executable file.
This article details the design, implementation, and performance improvements of the Starhan customer‑service platform, explaining how a graph‑based workflow engine, dynamic process management, and extensive automation reduce costs, shorten release cycles, and enhance user satisfaction across multiple business lines.
Effective operations management acknowledges inevitable downtime, emphasizes automation, prioritizes proactive prevention, treats technology as a means rather than an end, integrates closely with development through DevOps, relies on strong communication, and continuously addresses pervasive security challenges to minimize business impact.
This article presents five hands‑on AI project ideas—from resume optimization to multimodal search—complete with step‑by‑step instructions, required Python libraries, and code snippets, helping beginners and intermediate developers quickly build valuable AI applications.
The DeWu Tech Salon in Shanghai gathered over 220 participants and featured four expert talks on AI‑driven testing, simulation automation, precise testing platforms, and ad‑algorithm gray‑scale interception, offering concrete strategies and measurable gains for improving software quality and development efficiency.
This article explains pytest fixtures, covering their basic concept, definition, scope options (function, module, class, session), dependencies, parameterization, use of yield for cleanup, common usage scenarios such as data preparation, database connections, and mock objects, as well as custom markers and global registration.
This article explains Robotic Process Automation (RPA), its cost‑saving and efficiency benefits, common use cases such as private‑domain operations, HR and e‑commerce, the business and technical architecture of a large‑scale RPA system, Android accessibility service fundamentals, sample code, and future AI‑driven enhancements.
This advanced Jenkins course covers pipeline builds, multi-node configuration, plugin development, distributed builds, integration with tools like SonarQube and Artifactory, and continuous deployment, providing practical video tutorials and resources for mastering CI/CD workflows.
This article introduces ten essential tools for operations engineers—Shell scripts, Git, Ansible, Prometheus, Grafana, Docker, Kubernetes, Nginx, ELK Stack, and Zabbix—detailing each tool's functionality, typical scenarios, advantages, and real‑world examples with code snippets for practical automation and monitoring.
This guide walks through pytest's core command-line syntax, showing how to select files, control verbosity, capture output, ignore tests, pick specific cases or markers, generate various reports, run tests in parallel, repeat failures, and view help, all with practical examples.
Discover seven essential open‑source Python repositories—from data analysis with Pandas and workflow automation with Apache Airflow to AI‑powered G4F, web crawling with Scrapy, Telegram bots via Ultroid, team chat with Zulip, and crypto trading with Freqtrade—each offering powerful capabilities and community support.
This guide walks through preparing a Windows Server 2008 R2 environment, installing cwRsync, configuring rsyncd.conf, creating password files, starting the service, verifying ports, and using rsync.exe on a Windows 7 client to automate backup synchronization via scheduled tasks.
A comprehensive guide lists ten indispensable tools for operations engineers, detailing each tool's functionality, ideal use cases, advantages, and real‑world examples, plus practical code snippets for automation, monitoring, container orchestration, and log analysis.
This article explains Python generator functions, their memory‑efficient iteration mechanism, and demonstrates through multiple examples—including basic generators, Fibonacci sequences, large file processing, HTTP streaming, and API test data generation—how they can streamline and optimize interface automation testing workflows.
The article explains the role of a chief DevOps engineer, outlining core duties such as infrastructure design, automation, and cultural leadership, the essential technical and soft‑skill requirements, and the advantages this position brings to an organization’s efficiency, reliability, and collaboration.
The article describes how an automated resource‑balancing system continuously monitors Redis host memory usage, selects optimal nodes, safely migrates them through a multi‑step process (adding slaves, verifying replication, promoting masters, deleting old nodes), and provides task management and notification features to maintain high availability and reduce manual DBA effort.
Conan is an automated profiling solution for Go microservices that embeds an SDK to continuously or adaptively sample CPU, memory and goroutine metrics, detects anomalies via user‑defined rules, uploads data to a Pyroscope server, and reports results through Feishu or Pyroscope, delivering sub‑5 % overhead and faster root‑cause analysis.
Amid rapid AI adoption across programming, design, law, and medicine, experts warn that over‑reliance on AI assistants may erode foundational expertise, urging professionals to balance short‑term efficiency gains with sustained skill development to remain indispensable in an AI‑augmented future.
This guide presents a comprehensive collection of automation operation scripts—including baseline health checks, business inspections, organized directory structures, naming conventions, and download links—designed to streamline system, network, database, and cloud infrastructure management.
This guide explains how to identify, store, and share data dependencies, control test execution order, handle failure propagation, visualize relationships, and avoid excessive coupling in API automated test suites, using Python examples and tools like pytest and Graphviz.
This article explores the DevOps mindset, its core principles such as collaboration, automation, continuous improvement, and customer focus, outlines essential practices like CI/CD, IaC, monitoring, microservices, and provides a step‑by‑step adoption roadmap illustrated with a detailed case study and future trends.
Learn how to harness the power of the xargs command with ten detailed examples covering basic usage, custom delimiters, output limits, interactive prompts, safety options, and advanced integrations with find, grep, and file handling, all illustrated with clear command-line demonstrations.
This tutorial shows how to collect, configure, and customize reusable VSCode code snippets for JavaScript, TypeScript, Vue, Java and other languages, enabling developers to replace repetitive boiler‑plate with a single click and tailor placeholder behavior to their workflow.
To simplify large‑scale Vue upgrades such as Vue 2→Vue 3, Webpack 4→Webpack 5, or migration to Vite, the author presents an automated AST‑based migration scaffold that parses JavaScript, Vue, and style files, applies transformation rules with GoGoCode and PostCSS, and rewrites code, reducing manual effort and error risk.
The article clarifies that DevOps is not defined by specific tools like Kubernetes or Jenkins, but by the ability to design robust systems that ensure smooth deployments, effortless scaling, reliable operation, early issue detection, and effective team collaboration, emphasizing enduring principles over changing technologies.
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.
