This article explains what DevOps is, why it matters, and presents nine practical best‑practice recommendations—including culture, CI/CD, testing, observability, automation, security, and IaC—while also highlighting common anti‑patterns to avoid for successful DevOps adoption.
This article provides an in‑depth overview of Infrastructure as Code (IaC) for DevOps, explaining its definition, business advantages, implementation approaches, common challenges with solutions, practical use cases, and a comparison of leading tools such as CloudFormation, Puppet, Ansible, Terraform, and Chef.
This tutorial walks through provisioning an Alibaba Cloud ACK Kubernetes cluster using Terraform, covering provider setup, VPC and VSwitch creation, managed Kubernetes resource definition, Jenkins deployment, DNS configuration, and cleanup procedures, with full code examples.
Monitoring as Code (MaC) extends the “everything‑as‑code” philosophy to observability, enabling DevOps teams to embed monitoring early in the development pipeline, achieve continuous insight, automate remediation, and improve software quality and delivery speed.
This guide outlines how to classify, configure, and automate development, integration, UAT, pre‑production, and production environments, establishing principles, standards, recommended practices, common operational steps, and key metrics to improve deployment efficiency and maintain security and compliance.
This article explains what technical debt is, why it arises, and how adopting DevOps practices such as cross‑functional teams, automation, infrastructure‑as‑code, containerization, and API‑centric design can identify, track, and repay technical debt to improve system reliability and agility.
This article explains what DevSecOps is, why traditional security approaches no longer suffice in fast‑paced software delivery, outlines its key advantages such as risk control and cost reduction, and provides detailed guidance on organizational, process, and technology practices—including tool recommendations and CI/CD pipeline integration—to embed security throughout the software lifecycle.
The article explains the growing importance of developer self‑service platforms in modern cloud‑native environments, describing their benefits, operational models, and how they empower developers to manage infrastructure and application delivery efficiently.
This article explains the distinct roles of Serverless Devs and Terraform, compares multi‑environment deployment with direct Terraform usage, clarifies the concepts of environments versus environment variables, and details why the multi‑environment feature is implemented as a component rather than a CLI tool.
This article provides a comprehensive, step‑by‑step Terraform tutorial for Alibaba Cloud, covering RAM account setup, environment variables, version configuration, VPC and security group creation, ECS provisioning, web service deployment, DNS addition, output handling, and resource cleanup, complete with code snippets and command illustrations.
Terraform enables declarative, code‑driven provisioning of cloud resources such as VPCs, virtual hosts, load balancers, databases, and storage across multiple providers, simplifying infrastructure management through reusable providers and modules, version control, and state tracking, thereby reducing manual configuration effort.
Deploying and managing hundreds of production‑ready Kubernetes clusters is complex, but Qovery’s open‑source engine automates provisioning, operation, and upgrades on AWS using Terraform, Helm, and Rust, cutting setup time from days to minutes while ensuring reliability across global workloads.
This article explains what Vagrant is, outlines its development history, provides step‑by‑step instructions for installing and using it, compares it with traditional virtual‑machine workflows, and highlights its advantages for creating reproducible development environments.
This article explains how to use Helm to deploy a full Kubernetes cluster within another Kubernetes cluster, detailing the Kubefarm project, PXE‑bootable server farms, Kubernetes‑in‑Kubernetes architecture, node provisioning via PXE, certificate management with cert‑manager, and advanced networking and webhook integration.
This article explains why GrowingIO adopts Terraform for multi‑cloud resource management, introduces Terraform’s core concepts and architecture, details a practical project structure with modules, conditional logic, complex loops, global variables, and environment isolation, and shares insights on its advantages and limitations.
GitOps is an automated infrastructure management approach that leverages DevOps best practices such as version control, code reviews, and CI/CD pipelines to treat infrastructure as code, enabling declarative, pull‑request‑driven deployments especially in Kubernetes‑centric cloud‑native environments.
The article describes Liulishuo's Cloud Infra team's end‑to‑end automation of cloud resource provisioning, scaling, and cost governance using Terraform, a custom Luban platform, GitLab CI/CD, and chat‑bot integrations, highlighting the architectural design, implementation steps, and measurable benefits for both operations and business teams.
This article explores HashiCorp's evolution, detailing how its low‑code tools like Terraform, Nomad, Consul, and Vault automate complex cloud infrastructure tasks, the founders' story, product pivots, and the company's future in the rapidly changing cloud‑native landscape.
GitOps automates infrastructure management by applying DevOps best practices such as version control, pull requests, and CI/CD pipelines to declarative infrastructure code, enabling reliable, observable, and secure deployments especially in Kubernetes‑based cloud‑native environments.
The article describes how a to‑B SaaS platform tackled exploding microservice counts, soaring infrastructure costs, complex topologies and high‑frequency releases by standardizing, declaratively provisioning, and intelligently automating cloud‑native DevOps services, resulting in dramatically improved delivery efficiency and reliability.
This article explains how automation drives DevOps practices by improving speed, consistency, and reliability across the software lifecycle, discusses tools and challenges, and outlines future trends for integrating automated testing and infrastructure-as-code in modern development operations.
This article explains what GitOps is, its core principles such as declarative configuration and versioned state, the operational benefits it brings—including improved visibility, productivity, reliability, and security—and provides step‑by‑step guidance on implementing GitOps workflows for cloud‑native applications.
In his ServerlessDays China 2021 talk, Austen Collins explains how the Serverless Framework and the new Tencent‑backed Serverless Cloud let developers bypass local‑environment limitations by deploying, logging, and cloning applications directly in the cloud within seconds, dramatically boosting productivity, reducing configuration overhead, and enhancing the overall developer experience.
Terraform 1.0 reaches GA, delivering cross‑version state compatibility, hassle‑free upgrades, an 18‑month maintenance window, and the end‑of‑life schedule for Plugin SDK v1, while outlining the four criteria that qualified Terraform for a true 1.0 release.
This article shares Ctrip International Flights' cloud‑native journey, detailing how they adopted infrastructure‑as‑code, automated CI/CD pipelines, centralized logging and monitoring with Prometheus, Grafana and Thanos, and applied elastic scaling, spot instances, and network optimizations to reduce operational costs while maintaining high availability.
The article outlines the evolution from traditional code repositories to a code‑as‑service model, describing how pipeline‑as‑code, machine‑as‑code, server‑cluster‑as‑code and infrastructure‑as‑code (Jenkins, Docker, Kubernetes, Terraform) enable cloud‑native development, DevOps automation, and platform‑centric R&D ecosystems.
With cloud adoption shifting to rapid, low‑cost deployment, Alibaba Cloud’s Open Platform offers an end‑to‑end solution that automates product activation, quota management, reserved‑instance optimization, and RAM policy export using Terraform, Argo, and Kubernetes, enabling fully automated, elastic, and cost‑effective cloud workloads.
GitOps automates infrastructure management by applying DevOps best practices such as version control, code review, and CI/CD pipelines, using declarative IaC stored in Git to enable reliable, observable, and secure deployments across cloud‑native environments.
This article shares Ctrip International Ticketing’s cloud‑native migration experience, covering infrastructure‑as‑code with Terraform, managed Kubernetes, centralized logging and monitoring using Elastic Search, Prometheus, Grafana and Thanos, and practical cost‑optimization techniques such as auto‑scaling, spot instances, storage tiering and network proxying.
DevOps combines development and operations practices, requiring knowledge of software development concepts, Linux, networking, containerization, CI/CD pipelines, cloud platforms, orchestration, monitoring, infrastructure as code, scripting, and version control, with tools such as Jenkins, Docker, Kubernetes, Terraform, Prometheus, and Git.
This article explains what DevOps is, outlines its key benefits such as faster feedback loops, higher quality and reduced costs, compares it with traditional IT operations, and provides practical guidance on mindset shifts, infrastructure as code, automation, and tool selection for successful adoption.
GitOps is an automation-driven approach that applies DevOps best practices such as version control, code review, and CI/CD pipelines to infrastructure management, enabling declarative configuration, pull‑request‑based changes, and automated deployment pipelines for Kubernetes and other cloud‑native environments.
This article defines cloud native as an optimal, low‑overhead approach to designing software that lives in the cloud, outlines its key technology domains—including containers, Kubernetes, service mesh, observability, and serverless—and explains why evolving infrastructure to the cloud brings consistency, scalability, and immutable deployment advantages.
This article surveys current macro‑technology trends, covering the democratization of programming through low‑code platforms, Rust’s expanding role in big‑data and machine‑learning, the rise of code‑centric visualization tools, the maturation of infrastructure‑as‑code practices, and how browsers have unintentionally become full‑featured application platforms.
Noah is a test environment governance platform that uses infrastructure‑as‑code principles, resource pooling, soft routing, and containerization to automate the creation, management, and teardown of complex testing environments, dramatically improving developer productivity and reducing operational costs.
This article explains what technical debt is, why it accumulates in both development and operations, and outlines four DevOps‑driven strategies—including building cross‑functional teams, automation, containerization, and API‑centric design—to identify, track, and repay technical debt while improving cloud migration outcomes.
This guide walks you through the challenges of rapid system provisioning, explains the benefits of Alibaba Cloud Resource Orchestration Service (ROS), and provides detailed, IDE‑integrated steps for creating, managing, and deploying ROS templates and resource stacks efficiently.
Infrastructure as Code (IaC) streamlines DevOps by automating provisioning, ensuring reproducible and consistent environments, enabling version‑controlled configurations, and supporting fast feedback through testing, while the article outlines its core benefits, key principles, goals, and provides practical Ansible and Testinfra examples.
This article explains how Infrastructure as Code (IaC) transforms cloud-native operations by using open‑source tools like Ansible and Terraform to achieve consistent, versioned, and automated provisioning of resources, illustrated with real‑world Alibaba Cloud examples and best‑practice recommendations.
This guide demonstrates how to write parameterized Ansible playbooks for MariaDB installation and configure Jenkins pipelines to execute those playbooks, securely passing credentials and extra variables to achieve fully automated, repeatable database deployments.
This article explains how to use infrastructure‑as‑code techniques on Kubernetes to automate the deployment and CI/CD pipelines of .NET Core microservices, detailing the role of k8s.yaml files, Jenkinsfiles, and related automation tools.
This article explains how to implement infrastructure‑as‑code for CI/CD tools on a shared Kubernetes cluster by using a lightweight variable‑template engine, configuring Jenkins, Gogs, and Nexus via ConfigMaps, initContainers, and REST/Script APIs, and combining multiple automation techniques for seamless deployment.
This article details a hands‑on workshop that automates the provisioning of a Kubernetes‑based .NET Core microservice environment and CI/CD pipeline using infrastructure‑as‑code scripts, covering tool selection, script workflows, deployment steps, and initialization techniques for reproducible cloud‑native development.
This article describes how to create an immutable Jenkins instance by storing all configuration and job definitions as declarative code, building a Docker image with required plugins, using the Configuration‑as‑Code and Job‑DSL plugins, and automating setup tasks such as default user creation and wizard skipping across multiple environments.
This article explains the motivations behind OAM, outlines its eight core values—including cloud‑native declarative definitions, platform‑agnostic deployment, infrastructure‑as‑code, architecture‑focused design, integrated operations, transparent integration, role separation, scalability, and modular collaboration—while providing concrete YAML examples and AWS ECS CLI principles.
This article chronicles Ctrip's cloud‑infrastructure journey—from the early OpenStack‑based IAAS platform through containerization with Mesos, the migration to large‑scale Kubernetes clusters, and the adoption of cloud‑native practices that improve resource utilization, deployment speed, and application governance.
This comprehensive tutorial walks you through Ansible fundamentals, installation, core modules, playbook structure, variables, templates, handlers, roles, and dozens of practical examples, enabling you to automate Linux server tasks such as package installation, service management, file distribution, and configuration templating with confidence.
This article shares a DevOps consultant’s personal journey, detailing the diverse responsibilities, tools, and mindset required—from early full‑stack experience and virtualization research to CI/CD pipelines, infrastructure‑as‑code, security, load balancing, and fostering a DevOps culture across teams.
This article introduces Infrastructure-as-Code, explains how it transforms IT infrastructure management, and reviews seven major IaC platforms—AWS CloudFormation, Azure Resource Manager, Google Cloud Deployment Manager, Terraform, Chef, Ansible, and Puppet—highlighting their features, usage patterns, and reference documentation.
UCloud’s engineering team built a Terraform‑based resource orchestration platform that cuts provisioning time from over three minutes to under a minute, enhances reliability through custom diffs, idempotent retries, and CI/CD integration, and supports multi‑cloud management, showcasing best practices in cloud‑native infrastructure automation.
This article explains the risks of using Terraform without proper safeguards, demonstrates a real-world failure caused by careless use of the --auto-approve flag, and presents a robust blue‑green deployment pattern with an arbitration module that enforces safe state transitions on UCloud.
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.
Presented by JD Finance’s senior architect Wang Chao, this talk outlines the four‑quadrant operations framework (speed, quality, safety, cost), introduces DevOps concepts and principles, details lifecycle management, infrastructure‑as‑code, platform‑as‑code, and looks ahead to data‑driven operations and AIOps for scalable, secure, cost‑effective services.
The article outlines how the 2018 automation wave is reshaping IT by accelerating network, infrastructure, cloud, and security processes, highlighting tools like Terraform, Ansible, SDN solutions, and DevSecOps practices, and urging organizations to adopt DevOps‑style automation to stay competitive.
This article explains why manual VM provisioning and application deployment are bottlenecks, and shows how combining Infrastructure as Code tools like Terraform with configuration‑management solutions such as Chef can create a fully automated, version‑controlled pipeline that speeds up continuous integration, delivery and deployment across development, test and production environments.
The article explains DevOps culture, the shift toward eliminating barriers between development and operations, and outlines key practices such as frequent small releases, microservices, continuous integration, continuous delivery, and infrastructure as code to accelerate innovation while maintaining reliability.
This article shares how a telecom operations team tackled the complexity of managing dozens of device vendors and hundreds of models by designing a Python‑based automation module called Forward, which standardizes low‑level actions, provides reusable libraries, and enables rapid script composition for diverse network scenarios.
The article explains how cloud computing supports Application Lifecycle Management, outlines the benefits and risks of various cloud service models, and describes DevOps practices such as Infrastructure as Code, automated provisioning, continuous integration, and knowledge sharing that help mitigate cloud‑related challenges.
This article introduces the DevOps “Tao, Fa, Shu, Qi” framework, explaining its four layers—purpose, strategy, tactics, and tools—while discussing VUCA challenges, agile principles, automation, measurement, culture, and practical implementation guidance for building high‑speed, reliable software delivery pipelines.
This article recounts the DevOps transformation of a large traditional financial institution, detailing its background, challenges, agile restructuring, legacy system consolidation, continuous delivery pipeline, cloud migration, infrastructure‑as‑code adoption, platformization, and the core principles that enabled successful large‑scale automation.
This article introduces Ansible as a powerful, agentless automation tool for operations engineers, covering the tasks suitable for batch deployment, its architecture, core concepts like idempotence, essential components, basic command usage, and practical examples such as installing software, managing users, and configuring SSH keys.
This article explains how Puppet automates large‑scale server provisioning by describing its architecture, workflow, manifest examples, class inheritance, and module structure, helping operations teams reduce manual effort and avoid errors in configuration management.
This article explains the core concepts of continuous delivery, the challenges it faces, practical solutions such as automated testing, CI pipelines, infrastructure‑as‑code tools like Ansible, Docker containerization, and how microservices interact with DevOps to enable rapid, safe releases.
This article explains why many IT teams struggle with code that works in development but fails in production, introduces Puppet as a configuration‑management platform, describes its declarative language, resources, types, providers, classes, manifests and modules, and shows how it enables reliable, collaborative DevOps workflows.
