This guide explains how to use the TFS Test Plan Management tool to import and export test cases, detailing step‑by‑step procedures, example screenshots, default file locations, and answers to common questions for testers seeking to manage their test case data efficiently.
This guide explains how to query, interpret, and manage defect statuses in TFS—including the four typical workflow states and the method for bulk‑updating statuses—providing practical tips for developers and testers in a DevOps environment.
This guide walks you through installing Docker on Linux, adding the Docker repository, installing the engine, and mastering the most common Docker commands for managing images and containers, including searching, pulling, running, inspecting, and cleaning up resources.
This article explains SonarQube’s architecture, detailing its server, database, plugin library, and scanner components, and describes the typical development workflow from IDE integration and code commit through CI‑triggered analysis, result submission, and code review, including deployment considerations for machines and network placement.
The article records Google VP Michael Bachman's 2018 talk on engineering productivity, covering the origins of EP, Google’s rebranding of QA to an Engineering Productivity team, and a detailed Q&A on rollbacks, data models, metric visualisation, tool adoption, testing strategies, static scanning, and experimentation practices.
The article explains how Google introduced the Engineering Productivity (EP) team, its evolution from QA, the organizational model across product areas, and the various metrics used to assess developer productivity, providing insight into large‑scale software engineering management.
A former intern describes how a top Chinese internet firm suffers from messy code, duplicated libraries, inconsistent logging, poor configuration management, and inefficient development processes, while senior staff defend these practices as necessary adaptations to the company's scale and history.
This article clarifies common agile planning myths, explains the two‑level project planning approach used in Huawei’s DevCloud—including roadmap and iteration planning—covers demand gathering, backlog management, sprint execution, and the importance of continuous feedback and adaptation in product management.
Facing scaling and resource‑management limits of a legacy Java‑centric ops platform, a team rebuilt their deployment system from 2018 onward, adopting Docker, Kubernetes, Prometheus, and kube‑router, while ensuring seamless migration for thousands of services and addressing networking, memory, and debugging challenges.
This article explains what large‑scale website operations entail, outlines the product lifecycle and the crucial role of operations engineers, lists essential technical skills and personal qualities, and discusses current challenges, future prospects, and key technical topics such as cluster management, monitoring, fault handling, and automation.
This article shares the author's experience using Huawei Cloud DevCloud to implement agile DevOps practices, focusing on user story creation, the 3C principle, requirement splitting, non‑functional requirements, and practical tips for effective demand management within software development teams.
This article explores the evolution of operations roles, presents detailed skill maps for system, web, big‑data, and container operations, explains essential log types, and outlines ELK‑based architectures and big‑data‑driven monitoring practices for building a robust, future‑proof operations platform.
This article explains Kubernetes' origins, its pivotal role in the cloud‑native ecosystem, practical steps for migrating legacy applications, common operational challenges, and emerging trends such as service mesh, serverless, and data‑service integration.
This article presents the author’s experience and concepts behind Continuous Delivery 2.0, covering the evolution from traditional waterfall to DevOps, case studies from Flickr, Etsy and LinkedIn, the dual‑loop delivery model, lean and system‑thinking principles, and practical guidance for building sustainable, high‑frequency software delivery pipelines.
The case study details how Pandora’s marketing solution for Tencent’s games was migrated to a managed Tencent Cloud Kubernetes cluster, compares container‑service, serverless, and self‑built options, outlines the new image‑based deployment workflow, autoscaling, monitoring practices, and demonstrates the operational benefits of tighter dev‑ops collaboration.
This article examines the emerging challenges for I&O teams in 2023, proposes a five‑step strategy for building effective AI‑enhanced automation centers, and outlines how DevOps, containerization, and serverless computing can accelerate AI adoption while improving flexibility, scalability, and operational efficiency.
This report forecasts AI's rapid yet uneven growth through 2023, examines ML and DL advancements, outlines I&O team and DevOps platform recommendations, and provides strategic guidance for CIOs, CTOs, and AI engineers seeking to harness emerging AI technologies.
This talk shares a senior director’s experience building a hybrid multi‑cloud infrastructure for a game company, covering stability, efficiency, cost challenges, design‑for‑failure principles, standardization, resource automation, and the cultural and organizational factors that affect successful cloud operations.
The article revisits software process improvement, arguing that despite DevOps and cloud‑native advances—exemplified by Jenkins’s evolution from simple builds to fully programmable, Git‑and‑Kubernetes‑driven pipelines—continuous, metric‑driven refinement remains essential for boosting efficiency, quality, and resilience in modern, micro‑service‑centric delivery.
This guide walks through installing SaltStack components (salt‑master, salt‑minion, and salt‑api) on CentOS, configuring them, testing the API, and then integrating SaltStack with Jenkins by creating Jenkinsfiles that invoke Salt commands via the API or direct CLI for automated deployments.
This article explains the core concepts of container technology—including specifications, runtimes, management tools, image definitions, registries, and container operating systems—while illustrating why containers are advantageous for developers and operations teams in modern software delivery.
This guide walks through the essential layers of a startup's backend technology stack—from language choices and core components like databases, RPC frameworks, and messaging middleware to operational tools for CI/CD, monitoring, logging, and deployment—offering practical selection criteria and architectural diagrams.
This article provides an extensive overview of how startups can design, select, and integrate languages, components, processes, and systems—such as project management, DNS, load balancing, databases, messaging, monitoring, and deployment—to construct a robust and scalable backend architecture.
This article explains how CI/CD transforms software release practices by detailing continuous integration, delivery, and deployment, describing their benefits, challenges, and common tools such as Jenkins, while highlighting the role of pipelines and cloud environments in modern DevOps workflows.
Facing a legacy .NET and Oracle‑based vendor system serving ten countries, a global bank doubled release frequency and halved failures by separating small data‑patch deployments from monthly releases, automating testing and deployment with Jenkins, GitHub, and custom scripts, and aligning release windows to regional business hours.
Alibaba’s R&D team introduced a service‑level virtualization technique called “feature environments,” which uses shared base environments and virtual routing to provide lightweight, isolated test environments, reducing cost and improving stability while leveraging containers, Kubernetes, and DevOps practices for large‑scale projects.
This article details how Fangduoduo, a leading mobile real‑estate platform, migrated to a Docker Swarm‑based container cloud, covering the reasons for choosing Swarm, architecture design, networking, CI/CD integration, performance optimizations, monitoring, and the operational benefits gained from the transition.
This article introduces the 2019 Accelerate State of DevOps survey, explains how to join the questionnaire, provides background on previous reports, shares a detailed interview with Nicole Forsgren about research design and key findings such as architecture, cloud adoption, and outsourcing, and encourages community participation.
This article shares practical lessons from a real‑world ops incident, emphasizing the need for clear change background, optimal timing, project‑style management, and strict process adherence to reduce risk and improve production reliability.
A major bank transformed its legacy vendor‑managed .NET/Oracle applications by automating data‑patch deployments through Git, Jenkins, and custom database tools, enabling weekday releases, reducing manual effort, cutting overtime, and achieving continuous delivery despite outdated systems.
This article reviews the ten‑year evolution of cloud computing from its early AWS experiments to the present, analyzing the technological, social, and business drivers, outlining each development stage, and forecasting future directions such as AI integration, vertical clouds, multi‑cloud strategies, and ecosystem growth.
The article explains the launch of the world’s first DevOps capability maturity model, the collaborative effort behind it, Didi’s role as a standards workgroup member, and how its OE (OneExperience) platform embodies the new guidelines to streamline the entire software delivery lifecycle.
This guide walks you through the entire career ladder of a senior operations engineer, covering essential Linux, networking, monitoring, container, automation, and security skills, while offering practical advice on job roles, learning paths, and professional growth.
This guide outlines the career stages, skill sets, and practical tasks for DevOps engineers—from entry‑level troubleshooting to senior‑level architecture, automation, and performance optimization—providing concrete learning paths, tools, and personal development advice to help engineers advance their operations careers.
This article compiles 22 DevOps predictions from XebiaLabs, G20Group, and Veritis, highlighting trends such as continuous integration pipelines, value‑stream mapping, real‑time data mining, shared responsibility culture, self‑service deployment, DevSecOps, AI‑driven automation, containerization, FaaS, and the growing importance of automation and security in software delivery.
This article introduces Puppet, an open‑source configuration‑management framework, explains its architecture and workflow, and provides step‑by‑step instructions for installing and configuring master, CA, and agent nodes, along with a detailed overview of the puppet.conf settings and common resource types for large‑scale server automation.
This article explains how to maintain a DevOps environment by defining monitoring, its goals, key metrics, fault‑detection and performance measurement, adapting monitoring to continuous changes, and outlining the roles and processes of NOC and MSP for reliable, automated operations.
This article explains how to use a Python script to automatically delete outdated images from a private Harbor registry, detailing the background, approach, deletion workflow, current limitations, and providing the full source code for easy adaptation.
The article reflects on the 2019 Scaled Agile Spring Summit discussion of the "Quality is low" problem, analyzing its causes, distinguishing internal and external quality, exposing common measurement pitfalls, and proposing a process‑driven Build‑In‑Quality approach supported by agile, DevOps, and metric frameworks.
This guide explains Jenkins project management, covering naming conventions, creating new projects, configuring build history, parameterized builds, triggers, Jenkinsfile setup, as well as building, viewing logs, and debugging pipelines with illustrative screenshots.
The article explains that a true technical middle platform is not just a set of tools or cloud‑native services but a business‑focused, organization‑wide foundation, and outlines six construction pillars—container cloud virtualization, comprehensive microservice framework, abstracted technical components, shared basic services, value‑driven DevOps/AIOps, and a dedicated efficiency team—to enable rapid change, innovation, and operational excellence.
The article explains how many companies struggle with inefficient DevOps communication and proposes a solution based on process, standardization, automation, and platformization, culminating in a lightweight Kubernetes‑based PaaS that reduces operational workload and improves reliability.
This guide explains how to configure Jenkins user accounts, manage credentials for secure storage, and control access permissions using role‑based strategies, covering viewing, creating, updating, and deleting users and credentials as well as assigning global, project, and node roles.
The article examines real‑world DevOps transformation cases, illustrating how shifting operations staff into development teams can create both integration challenges and opportunities, and proposes a framework for distinguishing repeatable versus unique work to guide effective consolidation, standardization, and automation in software delivery.
This article explains how large enterprises such as BAT and banks implement strict auditing and supervision of operational privileges, using personal accounts, command logging, OSSEC monitoring, firewall limits, and cross‑team oversight to enforce the principle of least privilege.
ChaosBlade is an open‑source chaos engineering tool from Alibaba that lets you repeatedly inject failures into distributed systems, helping you measure fault tolerance, validate orchestration, test platform robustness, verify monitoring alerts, and improve emergency response capabilities for more reliable cloud‑native applications.
This guide details the prerequisites, multiple deployment methods (WAR, macOS, Windows, Linux), and post‑installation configuration steps for Jenkins, including unlocking the instance, installing plugins, creating an admin user, setting an update site, and configuring a slave node.
This article traces the evolution of internet architecture from early software and open‑source phases through centralized monolithic designs to distributed and cloud‑native systems, highlighting challenges such as massive user scale, continuous delivery, DevOps automation, container orchestration, micro‑services, and the shift toward resilient, scalable cloud‑native solutions.
This article introduces Kubernetes from a beginner’s perspective, covering its historical background, core design principles, architecture components such as Master and Node, key concepts like declarative APIs, containers, Pods, Services, and demonstrates how to create clusters, deploy, scale, and update applications, while also highlighting its role in cloud‑native environments.
This article provides a comprehensive overview of Jenkins, covering its definition, key features, historical evolution from Hudson, and detailed descriptions of its web UI components such as management, project, and build pages, as well as project types, parameters, and triggers.
The article explains how Azure DevOps teams separate application deployment from feature rollout using feature flags, enabling granular control, early user feedback, rapid rollback, and a staged release process without redeploying the application.
This document provides a comprehensive outline of Jenkins practice, covering fundamentals, installation on various platforms, management, integrations with tools like Maven, GitLab, and SaltStack, and detailed pipeline examples for front‑end, back‑end, and mobile projects.
This article compares Alibaba’s change request workflow with traditional Pull/Merge Request models, outlining their similarities, key differences, benefits such as flexibility and faster releases, as well as associated risks, and explains how the method is implemented and supported by tools like Cloud Eff.
The article chronicles CSG’s multi‑year DevOps transformation, detailing its agile adoption, continuous integration and deployment practices, organizational restructuring, metric‑driven improvements, and the integration of product management with operations to achieve higher stability, faster delivery, and enhanced employee engagement.
This article presents a step‑by‑step roadmap for aspiring backend developers, covering language selection, package management, best practices, security, testing, databases, frameworks, Docker, and many other essential skills to build a modern, production‑ready web application.
A seasoned operations professional argues that despite sensational claims, the ops function remains essential—driven by its core responsibilities of quality, cost, efficiency, and security, evolving with cloud computing, DevOps, and emerging IoT demands.
This article examines how DevOps has been reduced to a collection of automation tools, critiques the resulting "same‑bed‑different‑dreams" separation of development and operations, and outlines the cultural principles—shared responsibility, trust, autonomy, built‑in quality, feedback, and automation—necessary for a genuine DevOps transformation.
The article argues that operations will not disappear, explaining its essential functions—quality, cost, efficiency, and security—how cloud computing reshapes the role, the evolution toward DevOps, and why both cloud outages and industry trends actually underscore ops’ enduring importance.
This article explains how UCloud built a Terraform‑based resource orchestration tool that dramatically reduces deployment time, improves reliability, and integrates with CLI and CI/CD pipelines, while detailing fault‑tolerance, integration, and engineering practices for large‑scale cloud infrastructure.
This article traces the origins of the Dev‑Ops conflict, explains how early pioneers redefined Ops goals, outlines the technical and cultural practices that enable cooperation, and summarizes the feedback‑loop model that underpins modern DevOps as a means to improve software delivery quality and speed.
This article reflects on the misconceptions of IT operations roles, examines why many view ops as a low‑value job, and offers a practical roadmap—automation, DevOps, cloud services, and Python—to help ops engineers future‑proof their careers amid evolving industry trends.
This article traces the historical development of DevOps from the early days of self‑developed and self‑maintained computer programs, through the rise of professional developers and operations engineers, to the modern agile era where development and operations must collaborate to meet rapid market changes.
This article traces the evolution of DevOps from Patrick Debois' 2007 frustrations as a Belgian IT consultant through key conferences, blogs, and publications that shaped the DevOps movement, highlighting its roots in Agile practices and the convergence of development and operations.
Facing metadata inconsistency, ten‑thousand‑device scale, and the need for intelligent, event‑driven automation, Tencent Cloud Redis’s sole operations lead built a unified DB‑CMDB, a job‑platform for reusable workflows, and AI‑assisted scheduling, transforming DBAs into developer‑operators and driving 300% efficiency gains.
This article explains why Kubernetes should be seen as a next‑generation operating system, walks through a simple nginx deployment using declarative YAML, introduces the concepts of CRDs, custom controllers and Operators, and shows how to create and manage resources such as etcd clusters and virtual machines within Kubernetes.
This article analyzes the essential capabilities required for building a DevOps infrastructure in traditional enterprises across foundation, development, testing, operations, and project management, mapping each capability to representative tools and offering guidance on flexible, evolving architecture design.
The article describes Ctrip's motivation, design choices, and implementation details for deploying a self‑managed Kubernetes cluster on AWS, covering network architecture with VPC and ENI, custom image distribution, logging and monitoring, data synchronization, and operational challenges such as ELB loopback and kubelet configuration.
This article explains how container technology, inspired by physical shipping containers, provides lightweight, standardized, and portable application packaging, details the underlying Linux namespace and cgroup mechanisms, compares containers with virtual machines, and introduces major orchestration platforms such as Kubernetes, Mesos, and Swarm along with their key features and challenges.
This guide compiles over sixty top open‑source DevOps utilities—including version control, build automation, CI/CD platforms, container orchestration, configuration management, monitoring, and logging tools—to help developers and operations teams streamline development, deployment, and maintenance workflows.
Zhihu built a Docker‑based Jenkins Pipeline system that now runs over 3,000 jobs daily, offering low entry cost, high customizability, language openness, fast stable builds, and a highly available, extensible cluster while reducing debugging effort and enforcing quality standards.
This article recounts a real‑world agile transformation where a vendor‑centric, zero‑to‑one business system was delivered by iteratively applying agile, lean, and DevOps practices such as JIRA tracking, WIP limits, weekly planning, daily stand‑ups, and shortened feedback loops, highlighting the coach’s role in the trenches.
This article provides a step‑by‑step tutorial on preparing the environment, configuring Tomcat, copying Jenkins files, and handling permissions to successfully migrate a Jenkins instance to a new machine or directory.
The article critically examines Docker’s promised benefits—portability, security, and orchestration—by highlighting design flaws, added complexity, vendor lock‑in, and the often‑overlooked costs of standardizing on containers, while contrasting them with simpler, script‑based deployment approaches.
From Tencent Cloud’s viewpoint, the article explains how a PaaS‑driven “tool culture” transforms enterprise operations by unifying CMDB, job scheduling, container, data and AI‑assisted consoles into reusable SaaS tools, supporting hundreds of architectures, encouraging developers‑operators, and offering open community, enterprise, and SaaS editions to thousands of customers.
This article explores the essential concepts for selecting and building an operations monitoring platform, reviewing popular tools such as Cacti, Nagios, Zabbix, Ganglia, Centreon, Prometheus, and Grafana, and outlines a six‑layer architecture and practical strategies for scaling, alerting, and high‑availability in diverse environments.
This guide explains how to download, install, and configure the SonarQube GitLab authentication plugin, including plugin installation via Maven, setting up a GitLab application with HTTPS, configuring SonarQube authentication parameters, and troubleshooting common redirect URL errors.
This guide presents a curated collection of twenty powerful command-line utilities—from fast file search and interactive Git browsing to JSON formatting, shell linting, code compilation caching, and smart command correction—each explained with usage examples to help developers and sysadmins streamline their daily workflows.
The article explains how modern DevOps, revitalized by cloud computing, is embodied in Tencent Hub—a cloud‑native platform that combines container‑based artifact storage and a reusable, Kubernetes‑driven workflow engine with DAG‑modeled pipelines, enabling scalable, secure CI/CD for enterprises and public‑cloud users.
By adopting a lean 2‑1‑1 development cycle and a fully automated CI pipeline that binds demand branches to packaging, triggers builds, runs scheduled and merge‑request tests, and provides instant feedback, Xianyu’s mobile client team cut release cycles from a month to two weeks, increased integration frequency, improved quality, and moved toward a 24/7 unmanned release process.
This article presents a comprehensive case study of how a major Chinese bank transformed its legacy C‑based IT system development by designing and deploying a fully automated, end‑to‑end CI/CD pipeline with Azure DevOps Server (formerly TFS), covering static code analysis, mandatory code review, continuous integration, automated testing, and release management to accelerate delivery and improve quality.
This comprehensive guide outlines the mindset, methodology, general and professional skills, core architectural concepts, design principles, and essential tools needed for anyone aspiring to become a proficient software architect in modern technology environments.
This article presents a translated SAFe DevOps health radar, detailing the four dimensions of continuous exploration, integration, deployment, and release on demand, along with 16 sub‑dimensions and rating levels (Sit, Crawl, Walk, Run, Fly) to help teams evaluate and improve their DevOps capabilities.
The article presents a comprehensive case study of the C3 credit system’s agile and DevOps transformation, detailing the challenges in configuration and version management, the design of a dual‑mode development and delivery platform, automated pipelines, quality controls, full‑process traceability, organizational rollout, and the resulting efficiency gains, while also including a DevOps recruitment notice.
In this article, independent Node.js consultant Yoni Goldberg outlines 19 essential skills and topics—from TypeScript and async‑hooks to Kubernetes, blockchain, and machine learning—that developers should explore in 2019 to boost their expertise and stay ahead in the evolving backend ecosystem.
This article introduces Docker, explaining its purpose as an open‑source container engine, how it differs from traditional virtual machines, its advantages such as lightweight isolation and portability, its role in microservices, and provides step‑by‑step installation and common command examples for getting started.
This article chronicles the transformation of ZBJ.com’s system architecture from a PHP‑centric monolith to a multi‑language, Dubbo‑based SOA, detailing the adoption of front‑back separation, agile practices, a comprehensive DevOps platform with automated pipelines, containerization, CMDB, monitoring, and continuous scaling to support rapid business growth.
This article explains the concept of DevOps, illustrates common problems faced by traditional software and game companies such as multi‑language codebases, long build times and fragmented processes, and offers practical practices like micro‑services, branch strategies, CI, automated testing, release management and monitoring to improve software delivery quality and efficiency.
The article uses the historic siege of Alesia to illustrate how Roman emphasis on infrastructure parallels modern DevOps practices, arguing that rapid, reliable delivery requires robust, automated cloud and public‑cloud foundations, while critiquing the myth of speed through long work hours and highlighting Netflix’s chaos engineering as a model for resilient systems.
This article outlines Manbang Group’s HuoCheBang migration to cloud‑native architecture, detailing the unified monitoring platform Galileo, the Kubernetes‑based container cloud Planck, the microservice environment Newton, and the DevOps platform Solvay that together enable scalable, observable, and efficient service delivery.
This article explains SonarQube's main components—including server processes, database, plugins, and scanners—and describes the end‑to‑end workflow that integrates code analysis into development, CI/CD pipelines, reporting, and operational monitoring.
This article examines the challenges of entrenched banking legacy systems—regulatory constraints, costly replacements, data migration delays, low developer morale, and file‑dependency bottlenecks—and details a practical API‑centric microservice solution built with Spring Cloud, DevOps tooling, and domain‑driven design to accelerate client onboarding, improve agility, and pave the way for cloud deployment.
The article introduces the Kanban method as a lean approach to managing professional services, outlines ten essential principles such as focusing on flow, incremental change, risk management, and scalability, and concludes with a recruitment announcement seeking DevOps engineers in Beijing.
This article provides a comprehensive introduction to Docker, explaining container concepts, differences from virtual machines, core components like images and repositories, and detailed step‑by‑step commands for installing Docker, pulling and managing images, creating and running containers, committing changes, pushing to registries, and using Dockerfiles to build custom images for various services.
This article explains how adopting microservices, appropriate architectural patterns, and DevOps practices—ranging from monolithic to cloud‑native designs—can reduce costs, improve scalability, and support rapid development across web, mobile, and IoT platforms, while highlighting key differences between SOA and microservices.
The article presents a comprehensive 2018 DevOps Engineer roadmap that outlines essential skills—from programming languages and Linux fundamentals to networking, security, containerization, CI/CD, monitoring, and cloud platforms—and pairs each topic with curated online courses to guide aspiring DevOps professionals.
The article explains Docker’s rapid rise, clarifies the distinction between Docker and containers, compares containers with virtual machines, and describes why Docker simplifies application deployment, while also noting a related DevOps live‑stream event and promotional details.
This article explains how Fangduoduo’s R&D team creates an empowering platform by gathering creative talent, fostering a self‑driven culture, integrating product thinking into engineering, and applying DevOps, OKR, and Scrum practices learned from leading Silicon Valley companies.
Medium’s engineering team recounts how they transitioned from a monolithic Node.js app to a microservice architecture, outlining three core design principles, practical strategies for service boundaries, data storage, networking, deployment, monitoring, and how to avoid common microservice pitfalls.
The article explores why programmers must continuously adapt to fast‑changing internet technologies, offers practical viewpoints on tracking disruptive trends, deepening fundamentals, and evaluating code quality, and provides guidance on choosing and learning the most valuable skills today.
This article explains how to construct a Dev platform that supports both traditional enterprise delivery and internet‑centric business models, detailing the Dev stages (Code, Build, Assemble, Deploy, Monitor), their objectives, required tooling, and the architectural patterns needed for automated microservice packaging and deployment.
