This article introduces Ansible as an open‑source automation tool, explains its core architecture and workflow, and provides detailed usage of its seven primary commands with examples, helping readers quickly grasp how to configure, deploy, and manage systems efficiently.
To keep ahead of hackers and fraud, a global cybersecurity firm replaced its fragmented cron‑based build, test, and release processes with a unified Jenkins CI/CD pipeline, integrating GitLab, Docker, and monitoring tools, thereby automating deployments, improving visibility, and streamlining DevSecOps across multiple projects.
This guide explores Postman's powerful yet often overlooked features—environment and collection variables, pre‑request scripts, and test scripts—showing how to automate API testing, manage multiple environments, and streamline token handling for more efficient backend development.
This article introduces Python's ConfigObj library for parsing INI files, demonstrating how to read configuration values, write new settings, update existing entries, handle multiple files, and dynamically generate sections and options, with five practical code examples for interface automation tasks.
This article walks through using Excel’s import, text‑to‑columns, and find‑replace features to restructure raw data into a clean format suitable for Python automation, illustrating each step with screenshots and summarizing the final result.
This article explores the four pillars of technical operations—Dao (philosophy), Fa (methodology), Shu (techniques), and Qi (tools)—detailing concepts from business continuity to SRE, FinOps, GitOps, CMDB design, and the underlying logic of modern ops platforms.
This guide explains how to identify and differentiate malicious bot traffic from legitimate requests by analyzing web server logs, leveraging fields such as IP, user‑agent, referer, and parameters, and then applying WAF rules, automation, and security platforms to mitigate attacks and improve operational metrics.
This guide shows how to enable automatic numbering of PDF table‑of‑contents entries exported from Typora by adding a custom CSS file and using a Python script with PyPDF2 to read, modify, and rewrite the PDF bookmarks, producing a numbered outline.
This article presents a curated collection of eighteen practical Bash scripts that automate common Linux system tasks such as file consistency checks, scheduled log cleaning, network traffic monitoring, user management, firewall rules, and service health checks, providing ready‑to‑run examples for sysadmins.
This article introduces Python’s itertools, functools, and operator modules and demonstrates five practical code examples for each, showing how to simplify data iteration, function handling, and operator usage in interface automation tasks.
This article walks through a Python automation question about a failing second for‑loop, explains why the variable is a generator rather than a list, shows how to convert or iterate it correctly, and offers practical tips for posting code questions and accessing learning resources.
This article provides a comprehensive guide to Jenkins pipelines, explaining the differences between declarative and scripted syntax, detailing pipeline components such as agents, stages, steps, directives, post actions, and showing numerous practical code examples for building robust CI/CD workflows.
This article shows how to use a concise Python list‑comprehension to scan a directory and return only those folder names that contain the keywords “分公司” or “营销中心”, providing a practical automation solution for office tasks.
This article presents a comprehensive case study of NetEase Cloud Music’s metadata‑driven intelligent governance platform, detailing its scale, construction background, modular architecture, rule‑based automation, practical deployment, and future roadmap for sustainable data ecosystem management.
Co‑authored with ChatGPT, this article explores how large language models reshape software engineering by automating routine coding and bug‑fixing, raising skill demands, boosting productivity through code generation and reviews, creating new AI‑focused roles, highlighting tasks that remain human‑centric, and urging engineers to upskill in AI, data science, ethics, and collaborative problem‑solving to stay competitive in the irreversible AI era.
This article presents a collection of practical Bash scripts for system administrators, covering load monitoring, file backup, log cleanup, service health checks, automated deployment, disk usage alerts, temporary file removal, network connectivity testing, bulk renaming, and batch service control, each with ready-to-use code examples.
This tutorial explains how to set up the PHP environment, install the Goutte library, and use it to fetch page content, extract hyperlinks, and submit forms, providing complete code examples for building a functional web crawler.
This article examines the challenges of manual API documentation, introduces Mooncake’s standardized organization, the MooncakeUpload IntelliJ plugin for one‑click doc generation, GitLab MR auto‑parsing for continuous updates, and the API metadata center that enhances debugging, mocking, and cross‑team collaboration.
This guide walks you through setting up an automated code deployment workflow using Docker, Kubernetes Deployments, and a CI/CD tool like Jenkins, covering environment preparation, image building, deployment configuration, pipeline scripting, monitoring, and rollback strategies.
This article describes a comprehensive approach to stress‑testing a WebRTC SFU service with 300 concurrent connections, covering client generation via Playwright, monitoring setup, test execution, encountered issues, tuning steps, and final performance conclusions.
Didi’s multi‑year data‑stability program for its customer‑service platform progressed through fault‑centered engineering, business‑aligned cross‑team work, and capability normalization, instituting pre‑, mid‑ and post‑fault safeguards, clear ownership, automated alerts and repair tools, which cut fault count by 42 % and more than doubled mean‑time‑to‑repair while boosting team communication and satisfaction.
The article explains how Python can be leveraged for various operations automation tasks—such as remote server management, log parsing, system monitoring, batch deployment, and backup—by showcasing practical examples and code snippets for each use case.
This tutorial shows how to create QR codes, word clouds, batch image segmentation, sentiment analysis, mask detection, simple message spamming, OCR, and a number‑guessing game in Python using no more than ten lines of code for each task, illustrating the power of concise scripting for AI‑related utilities.
This article presents HuoLala's practical approach to guaranteeing the stability of the Doris OLAP engine within its large‑scale big data platform, covering background, challenges, case studies, capability building, process standards, and future planning.
This tutorial demonstrates how to install the itchat library, log in to WeChat, send messages, register message listeners, handle recall notifications, and store recalled text, images, and voice messages by parsing XML and saving files with a complete Python script.
This article explains how to use Python and pandas to read a reference spreadsheet, iterate through Excel files in a folder, generate month‑based names with identifiers, and batch‑rename the files, while also noting a limitation of the original month‑extraction logic.
Facing growing microservice complexity, HuoLala designed a comprehensive fault‑drill system—covering management, tooling, and operations—to simulate failures, control blast radius, automate scenarios, and continuously improve resilience, ultimately reducing downtime and enhancing system stability across more than ten business units.
The article proposes a modular, building‑block development framework with standardized SOP workflows and automation tools to overcome human bottlenecks, lack of reuse, and slow R&D cycles in fast‑paced revenue activities, enabling double the delivery rate, 33 % fewer bugs, and stable team size.
This tutorial walks you through creating a Jenkins Pipeline job, writing the Groovy‑based script, defining agents, stages, and steps, configuring parameters, running the pipeline, and viewing detailed build output, providing a complete hands‑on guide for CI/CD automation.
This article explains how Ansible, a Python‑based automation tool, can be used to create, modify, and delete Unix crontab entries, covering why automation is needed, installation steps, and practical playbook examples for managing scheduled tasks across multiple hosts.
The article describes the evolution from manual to semi‑automatic and finally fully automatic solutions for verifying real‑time and offline ranking data during major sales events, detailing rule extraction, Hive‑based SQL generation, execution, and the resulting reduction in human effort.
This article explains why container security is critical, outlines common threats such as image vulnerabilities, runtime escapes, network isolation, compliance, and orphaned containers, and shows how DevSecOps practices and automation tools can protect the entire container lifecycle.
Learn how to automate the consolidation of numerous employee performance Excel files using Python and pandas, with a clear code example that reads each workbook, concatenates the data, and outputs a single merged spreadsheet, while also offering tips for handling file formats and avoiding common pitfalls.
This article details NetEase Yanxuan’s exploration and practice of a data warehouse modeling platform, covering background, current challenges, a comprehensive solution, step‑by‑step implementation, and the resulting improvements in model standardization, automation, and business value.
This tutorial shows how to use a short Python script to batch‑rename inconsistently named Excel performance reports into a uniform "Name8月绩效.xlsx" format, complete with code, screenshots of before‑and‑after results, and practical tips for asking technical questions.
This article presents thirteen practical Python scripts—including speed testing, Google searching, web automation, lyric fetching, EXIF extraction, OCR, image cartoonization, recycle‑bin clearing, photo enhancement, Windows version detection, PDF‑to‑image conversion, hex‑to‑RGB conversion, and website status checking—each accompanied by ready‑to‑run code examples.
By integrating Kubernetes with DevOps practices, teams can automate deployment pipelines, achieve dynamic resource allocation, centralize monitoring with tools like Prometheus and Grafana, and treat infrastructure as code, resulting in faster, higher-quality software delivery and improved collaboration between development and operations.
This article explores how bank DBAs continuously improve their capabilities through standardized daily inspections, automated environment provisioning, careful upgrade planning, development support, and disciplined incident response, while also encouraging a broader understanding of diverse database technologies and core relational concepts.
This tutorial walks through a complete, step‑by‑step setup of a one‑click CI/CD pipeline that installs Docker and Jenkins on CentOS, configures Maven, creates a Jenkins job, builds a Spring Boot JAR, packages it into a Docker image, and runs the container, providing all commands and screenshots for a seamless deployment experience.
Guangfa Securities implemented a cloud‑native, full‑stack DevOps platform that integrates development, testing, and operations, delivering dual‑architecture containers, end‑to‑end security, and automated pipelines, which boosted daily builds to over 600, cut deployment time by 1.5×, and earned multiple industry recognitions.
The 4th China AI Competition results conference highlighted how generative AI (AIGC) is being integrated into Ant Group's financial services to automate workflows, enhance marketing creativity, and improve claim processing, promising exponential efficiency gains, new customer experiences, and a transformed industry ecosystem.
This guide explains how to enable and configure Windows' built‑in WinRM service, check its listener, set client and service options, and use the Python pywinrm library from Linux or macOS to remotely execute commands and retrieve files on a Windows host.
This article outlines a comprehensive, lightweight CI/CD automation solution built on DevOps principles, detailing the evolution from traditional deployment to containerized workflows, the design of a multi‑project, plug‑in task system, and practical implementation steps using GitLab CI, Docker, and Go.
The article explains why testing teams need systematic public resource management, outlines the challenges of resource flow, asset control, and security, and details the evolution from a simple approval pipeline (v1.0) to a more autonomous, domain‑aware system (v2.0) with practical solutions.
This informal blog recounts a developer’s hands‑on journey from puzzling over the buzzword “containerization” to building an automated GitLab‑CI, Docker, and Kubernetes pipeline, highlighting practical benefits, challenges, and the humorous “mop‑up” moments that make the transition both enlightening and entertaining.
This article compiles seventeen practical Linux administration techniques—from batch file handling and directory checks to log analysis, disk monitoring, firewall rules, and network capture—each illustrated with ready‑to‑run shell commands and concise explanations for sysadmins.
This article presents thirteen practical Python scripts covering speed testing, Google searching, web automation, lyric retrieval, EXIF extraction, OCR, image cartoonization, recycle bin cleaning, image enhancement, Windows version detection, PDF-to-image conversion, hex‑to‑RGB conversion, and website status checking, each with clear explanations and ready‑to‑run code examples.
This article presents a collection of seven practical Python scripts—including a Zhihu image scraper, two interacting chatbots, a Naive Bayes poetry author classifier, a 35‑choose‑7 lottery generator, an automatic apology writer, a screen‑capture tool, and a GIF maker—each demonstrated with complete, runnable code.
This article examines the challenges of traditional on‑call duty systems for operations teams, proposes an SRE‑inspired rotation model that involves developers, defines concrete KPI targets, and describes how automation and chat‑bot tools can streamline incident response and reduce internal friction.
This article compiles 17 practical Linux operation tricks—from file searching and batch extraction to disk monitoring, log analysis, and firewall scripting—providing sysadmins with ready-to-use command snippets that can streamline daily tasks and potentially earn a raise.
This article walks through building a Python web scraper that automatically logs in, fetches daily free reports from a registration‑required site, saves each as a PDF with appropriate filenames, and includes complete source code with detailed explanations for handling retries, cookies, and file management.
This article walks through a Python automation example that uses the os module to collect subfolder names from a specified directory and the openpyxl library to write those names into an Excel workbook, providing full code and explanations.
This article explores the challenges of data quality in mature big‑data environments and presents intelligent, automated approaches—including assertions, automatic detection, rule recommendation, link checking, and collaborative mechanisms—to embed quality checks throughout the data pipeline, improving efficiency and reliability.
This article provides a comprehensive reference for Airtest's automation APIs, covering script initialization functions, device connection methods, application lifecycle commands, and frequently used interaction utilities such as screenshot, touch, swipe, text input, and key events, each illustrated with Python code examples.
The article outlines essential continuous delivery, architectural, product, lean management, and cultural capabilities—such as version control, automated deployment, trunk‑based development, test automation, value‑stream visibility, lightweight change approval, and supportive leadership—that together drive high‑performance DevOps outcomes.
This guide explains how the vue‑swift‑i18n VS Code extension automates detection, JSON generation, key replacement, tooltip display, JSON flattening, and code completion for Chinese strings in Vue projects, providing step‑by‑step instructions, configuration options, and practical examples to streamline internationalization.
This article explains how the Python libraries requests and xlwt can be combined to build a flexible API automation testing framework that reads test cases from Excel, executes HTTP requests, validates responses, and writes test results back to Excel files.
OpenAI’s newly released Code Interpreter plugin lets ChatGPT write, run, and test code, offering file handling, a built‑in Python environment with popular libraries, and a secure sandbox, while showcasing ten impressive tricks—from converting GIFs to MP4s to turning data into interactive webpages.
ChatGPT’s new Code Interpreter lets GPT‑4 Plus users upload files, have the model write, run, and debug Python code in a private sandbox, enabling non‑programmers to automate complex tasks such as data analysis, image‑to‑video conversion, and PDF generation through natural language prompts.
This article introduces Python's Profig library and demonstrates five practical code examples for converting configuration files among YAML, JSON, and INI formats, helping developers streamline interface automation tasks with multi‑format support.
This article explains how to use the python-decouple library to isolate configuration from code, demonstrating five practical examples for loading sensitive information, default values, booleans, integers, and list settings in Python-based API automation.
This article explains how DevSecOps integrates security into DevOps pipelines, outlines its definition and differences from traditional DevOps, reviews popular tools such as Trivy, Gerrit, OWASP Dependency‑Check, Arachni, and Falco, and highlights the operational and cost benefits of early security integration.
This article reviews five Python logging libraries—logging, logbook, Eliot, Raven, and Sentry—explaining their features, configuration methods, and providing code examples to help developers implement effective log management in API automation projects and services.
This article explores common pain points in test development, demonstrates how Shell scripting can automate repetitive Linux tasks, introduces basic commands like copy and concatenate, and presents real‑world case studies such as auto‑comment generation, memory‑usage monitoring, service management, and function encapsulation to boost productivity.
This guide shows how to configure SecureCRT (CRT) with custom shortcut keys, bottom‑status‑bar buttons, and timestamped log files, enabling rapid login to routers, switches, or servers while reducing repetitive typing and improving log analysis.
This article introduces the Jenkins Deploy Dashboard plugin, explains how to visualize deployment status across environments, add new releases to the dashboard, create custom deployment views, and integrate deployment buttons into pipelines using both scripted and declarative Jenkins pipelines.
This article details Tencent Search’s end‑to‑end stability engineering framework, covering a layered reliability architecture, disaster‑recovery mechanisms, fast detection and monitoring, emergency response acceleration, pre‑release interception, automated defense, and collaborative governance that together improve MTTD and MTTR by an order of magnitude.
The article details ByteDance's transition from CocoaPods‑based component management to a Bazel‑driven monorepo build system, describing the problems faced, the two‑stage migration process, the BitSky build service architecture, custom plugin mechanisms, and the performance gains achieved after the migration.
This article examines how AI, from its early deep‑learning roots to modern design tools, challenges traditional product design by highlighting both its strengths and limitations, explores which design tasks may be automated, and proposes ways designers can collaborate with AI to stay relevant.
This article outlines JD’s systematic three‑phase strategy—normalization, refinement, and integration—to ensure robust quality, efficient resource utilization, and seamless cross‑team collaboration during the high‑stakes 618 shopping festival.
This article presents a comprehensive overview of widely used Python 3 third‑party libraries across multiple domains—including text processing, web development, databases, data analysis, computer vision, automation testing, security, and other utilities—offering concise descriptions and ready‑to‑run code snippets for each library.
This article provides a thorough overview of DevOps fundamentals, differences from Agile, popular tools, lifecycle stages, CI/CD concepts, AWS roles, version control, SSH, Git commands, Jenkins architecture, Ansible, Puppet, Chef, Docker, Kubernetes, and related interview questions to help candidates prepare for DevOps engineering positions.
This article provides a concise overview of Jenkins, its architecture, key concepts, and best practices by presenting fifteen frequently asked interview questions along with detailed answers to help candidates prepare effectively for Jenkins-related job interviews.
This article walks through a Python solution for automatically solving web‑page captchas by capturing the image with Selenium, sending it to the Chaojiying service, and retrieving the decoded text, complete with sample code and execution results.
This tutorial provides a complete, step‑by‑step guide to set up a one‑click automated deployment pipeline for a Spring Boot application using Docker, Jenkins, Maven, and shell scripts on a CentOS 7 host, covering installation, configuration, job creation, testing, and execution.
This tutorial explains how to automate watermark insertion for PDF, Word, PowerPoint, and Excel documents with Python by installing appropriate libraries and providing ready-to-use code examples for each file type.
This article presents a comprehensive overview of the Comet workflow engine, detailing its background, architecture, key design concepts, graph‑based legality checks, plugin mechanisms, and practical use cases such as SRE automation, permission requests, and dynamic linear processes, illustrating how a flexible, low‑code platform can streamline enterprise business flows.
The article shows how developers can describe desired UML, flowchart, SVG icon, or mind‑map in natural language and use AI to generate PlantUML or Mermaid code instantly, streamlining diagram creation, reducing manual effort, and illustrating broader AI‑assisted productivity tips for software development.
This article demonstrates how to use Python and pandas to automate the extraction, filtering, and handling of contract data from Excel files, replacing manual per‑contract spreadsheets with a single reusable script that improves efficiency and reduces errors.
This article introduces CI/CD as a DevOps approach, explains the challenges of selecting the right pipeline tool, and provides detailed overviews and key features of ten popular CI/CD solutions—including GitLab, Azure DevOps, GitHub Actions, CircleCI, Jenkins, and more—to help readers choose the best fit for their workflows.
This article demonstrates how to use Python to create an automated piano script that simulates keyboard presses, employs multithreading to play multiple hands simultaneously, and controls a web‑based piano interface, providing complete code examples and step‑by‑step instructions.
This article outlines the background, objectives, and implementation framework of AIOps at a major bank, detailing data consolidation, analysis engines, scenario ecosystems, practical case studies, and future directions for intelligent, proactive IT operations.
This article explains how to install php-webdriver via Composer, set up a Selenium WebDriver instance in PHP, and write a script that automates a Chrome browser to scrape search results from Baidu, demonstrating key WebDriver APIs for element interaction and data extraction.
This article provides a step‑by‑step guide on installing Jenkins, configuring global tools, creating a freestyle project, pulling code from GitLab, building a Java JAR, backing up existing JARs, copying the new package to a remote server, and performing a rolling Docker Swarm update, while also addressing common SSL and SSH issues.
This article explains why close collaboration between testing and development teams is essential for successful web projects, offering practical strategies such as shifting testing left, using collaborative tools, involving QA in code reviews, adopting QAOps, automating tests, prioritizing scripts, and consistently tracking bugs.
This article details the end‑to‑end migration of Qunar's massive Elasticsearch logging cluster from a saturated data‑center to a new facility, covering background constraints, migration planning, manual and automated node moves, performance tuning parameters, observed challenges, and the final zero‑downtime results.
This article explains why and how to upgrade an HTTP website to HTTPS, introduces the differences between the protocols, compares paid and free CA certificates, and provides a step‑by‑step tutorial for installing, issuing, installing, and automatically renewing certificates with the acme.sh script.
This article explains five common methods for storing authentication tokens during API automated testing—embedding in scripts, using environment variables, configuration files, databases, and secret management systems—and provides complete Python code samples for each approach.
This article presents a detailed OTA (Over‑the‑Air) testing framework covering preparation, functional test points, upgrade strategies, data consistency, compatibility, performance load testing, and Python‑based automation for IoT devices, helping engineers avoid missed cases and ensure reliable firmware upgrades.
This article details Guangdong Mobile's evolution of IT systems and operations, explains the four domain architecture, chronicles the AIOps adoption timeline, showcases intelligent anomaly detection, change assessment, fault diagnosis, and operation robots, and shares practical promotion methods and future outlook for AI‑driven IT operations.
This article explains how Python decorators can abstract common functionalities such as logging, authentication, and performance monitoring in API automation testing, providing code examples, recommended use‑cases, and a complete demonstration that integrates logging and MySQL data storage to improve test efficiency and maintainability.
This guide walks you through installing Docker and Jenkins on CentOS 7, configuring Jenkins plugins, creating a freestyle job that builds a Spring Boot application with Maven, and deploying it via a Dockerfile for fully automated one‑click deployment.
This article details the background, challenges, migration plan, automation, and performance‑tuning techniques used to relocate a petabyte‑scale Elasticsearch logging cluster from one data center to another, highlighting practical lessons and measurable improvements in stability and migration speed.
This tutorial walks you through a complete one‑click Jenkins, Docker, and SpringBoot automated deployment on CentOS, covering environment preparation, Docker and Jenkins installation, plugin configuration, job creation, build testing, and running the packaged application in a Docker container.
Learn step‑by‑step how to create an Nginx configuration file, use AWK and shell scripts to detect IPs with more than 60 requests per minute, automatically generate deny rules, and schedule the process with crontab to keep your personal site safe from attacks.
This guide introduces shell scripting fundamentals, covering what a shell is, script creation, variables, environment variables, control structures, functions, arrays, and practical examples such as a hello‑world script, system backup, and server information collection, all illustrated with clear Bash code snippets.
ChaosMeta is an open‑source, cloud‑native chaos engineering platform derived from Ant Group's internal XMonkey system, offering a complete lifecycle solution, risk catalog, and extensive Kubernetes fault‑injection capabilities to help users discover and mitigate potential system risks through automated experiments.
This article explains why unit testing is essential for Go development, compares the legacy 2.0 approach with the new 3.0 plugin, details the plugin architecture, execution flow, code snippets, and shows real-world adoption results with clear HTML reports.
This article describes the background, research, design, and implementation of a backend system that automates Android channel package updates, enabling batch submission, reducing manual effort, and streamlining continuous delivery across multiple app markets.
The article introduces the ECP system, a backend platform built on Elasticsearch that standardizes, automates, and visualizes index refresh workflows, addressing manual bottlenecks, data cleaning challenges, and coupling issues while providing task management, permission control, and environment isolation for high‑efficiency index operations.
