Azure Pipelines is a powerful service provided by Microsoft Azure designed to automate the building, testing, and deployment of code projects. It seamlessly supports any programming language and project type, integrating Continuous Integration (CI) and Continuous Delivery (CD) to streamline development workflows. By automating these processes, Azure Pipelines helps teams deliver high-quality software efficiently to any cloud platform or on-premises environment.

Whether you’re working with Python, Java, PHP, C++, or mobile applications like Android, Azure Pipelines offers robust support. You can deploy your applications to Microsoft Azure, AWS, Google Cloud, or any other target environment with ease. This comprehensive guide walks you through the core concepts, setup methods, and best practices to maximize your use of Azure Pipelines.

Harmonizing Software Development: The Nucleus of Continuous Integration and Continuous Delivery within Azure Pipelines

At the very core of Azure Pipelines’ profound efficacy in modern software engineering lies the symbiotic embrace of two foundational tenets: Continuous Integration (CI) and Continuous Delivery (CD). These principles represent a transformative departure from antiquated, disjointed development methodologies, fostering an agile, efficient, and highly reliable pathway from code genesis to operational deployment. Together, they form an uninterrupted continuum, ensuring that software development is not merely a sequential series of discrete stages but rather a fluid, iterative, and self-correcting lifecycle.

Unveiling the Genesis of Quality: The Imperative of Continuous Integration (CI)

Continuous Integration (CI) is far more than a mere automated process; it embodies a fundamental development philosophy that advocates for the frequent and rigorous integration of code changes from multiple developers into a shared, centralized repository. The quintessential objective of CI is to proactively and automatically build and meticulously test these incremental code modifications, thereby ensuring that any regressions, functional anomalies, or systemic inconsistencies are detected with unparalleled alacrity at the nascent stages of the development lifecycle. This early detection mechanism is paramount because the cost of rectifying software defects escalates exponentially as a project progresses through its various phases, becoming particularly exorbitant when issues surface later in the project’s journey, such as during quality assurance cycles or, more critically, in production environments.

The underpinning of CI necessitates an unwavering commitment to version control, typically anchored by distributed systems like Git. Developers are enjoined to commit their code changes to a main branch (or a closely related feature branch that frequently merges with the main) multiple times a day, sometimes even hourly. Each commit, or a collection of related commits, automatically triggers a CI pipeline. This automated execution is not merely a formality; it is a meticulous verification sequence. The first step typically involves an automated build process, wherein the raw source code is compiled, linked, and packaged into an executable format or a deployable artifact. This build process ensures that the latest code changes integrate cleanly and that no compilation errors have been introduced.

Following a successful build, a battery of automated tests is rigorously executed. These tests are the sentinels of code quality, designed to verify the functional correctness, performance, and robustness of the newly integrated code. This encompasses various strata of testing:

• Unit Tests: These are foundational, verifying the smallest isolated units of code (e.g., individual functions or methods) to ensure they perform as intended.
• Integration Tests: These validate the interactions between different modules or services, ensuring that components communicate effectively when combined.
• Static Code Analysis: Tools scan the code for common vulnerabilities, adherence to coding standards, and potential logical flaws without executing it.
• Security Scans: Automated tools scrutinize the code for known security vulnerabilities or misconfigurations.
• Code Coverage Analysis: This measures the percentage of code lines executed by tests, providing insights into test suite comprehensiveness.

The immediate feedback loop generated by these automated tests is a cornerstone of CI. If any test fails, or if a build breaks, developers are instantly notified, allowing them to pinpoint and rectify the issue promptly while the context of the change is still fresh in their minds. This iterative refinement significantly diminishes the likelihood of costly errors propagating further downstream in the development process, fostering a culture of proactive problem-solving rather than reactive firefighting. Furthermore, successful CI runs invariably culminate in the generation of build artifacts—these are the meticulously compiled, packaged, and sometimes containerized versions of the application’s code, ready for subsequent deployment. These artifacts could range from compiled executables and libraries (e.g., DLLs, JARs) to container images (e.g., Docker images), NuGet packages, or compressed archives.

Azure Pipelines, as a preeminent component of Azure DevOps, provides an exquisitely dedicated and robust Build service precisely engineered to configure and manage these intricate CI workflows with unparalleled ease and efficiency. Developers can define their CI pipelines using human-readable YAML syntax (azure-pipelines.yml) directly within their source code repository, enabling versioning and peer review of the pipeline definition itself. Azure Pipelines offers a flexible ecosystem of hosted agents (Microsoft-managed virtual machines with pre-installed tools) that handle the build and test execution, alleviating the need for organizations to manage their own build infrastructure. For bespoke requirements or specific environments, self-hosted agents can also be deployed. The extensive task library within Azure Pipelines provides ready-to-use building blocks for common development stacks (e.g., Node.js, .NET, Java, Python, Go), simplifying the orchestration of complex build and test processes. Furthermore, its deep integration with popular source control systems like Azure Repos, GitHub, and Bitbucket ensures that every code commit can automatically trigger the defined CI pipeline, initiating the cycle of automated quality assurance.

Extending the Delivery Chain: The Prowess of Continuous Delivery (CD)

Where Continuous Integration meticulously polishes the raw materials of code and testing, Continuous Delivery (CD) assumes the mantle, picking up the baton by automating the seamless deployment of these validated build artifacts to a myriad of distinct environments. These environments typically span from ephemeral development and testing sandboxes to more stable staging areas, culminating in the critical production landscape. The fundamental aim of CD is to ensure that the software is always in a deployable state, capable of being released to end-users at any given moment, though the act of releasing to production might still involve a manual trigger or an explicit approval. This commitment to perpetual readiness is what distinguishes CD from its more aggressive sibling, Continuous Deployment (which automates all releases to production).

The intrinsic benefits of Continuous Delivery are profound and multifaceted. It unequivocally ensures faster release cycles, empowering organizations to deliver new features, bug fixes, and improvements to their user base with unprecedented velocity. This accelerated time-to-market provides a substantial competitive advantage, allowing businesses to respond agilely to market demands and customer feedback. Furthermore, CD guarantees consistent quality across deployments. By automating the entire deployment pipeline, from artifact acquisition to environment configuration and application rollout, the inherent risks associated with manual human error are drastically minimized. Each deployment becomes a repeatable, predictable, and verifiable process, fostering an environment of reliability and trustworthiness.

The philosophy underpinning CD emphasizes breaking down large, monolithic releases into smaller, more frequent increments. This iterative release strategy significantly reduces the inherent risk of deployments. Smaller changes are inherently easier to troubleshoot, diagnose, and rollback if unforeseen issues arise, contrasting starkly with the perilous nature of infrequent, colossal deployments that often introduce a multitude of variables simultaneously. This consistent flow of validated changes also cultivates improved collaboration between development (Dev) and operations (Ops) teams, fostering a shared understanding of the deployment process and nurturing a cohesive DevOps culture. Developers gain heightened confidence that their meticulously integrated and tested code will transition smoothly to production, while operations teams benefit from standardized, automated, and predictable deployment procedures.

Key practices within the CD paradigm are meticulously structured to ensure robust and reliable deployments. The build artifacts generated by the CI pipeline are considered immutable inputs to the CD process; they are never modified during deployment. This immutability ensures that what was tested in CI is precisely what gets deployed. The CD pipeline orchestrates the automated deployment to multiple environments, progressively moving the artifact through a series of increasingly production-like stages (e.g., development, QA, staging, pre-production, production). Each environment is often configured with environment-specific settings, such as database connection strings or API endpoints, managed through secure variable groups or configuration management tools. Critical control points, known as release gates or approvals, can be strategically inserted within the pipeline. These can be manual sign-offs by stakeholders or automated checks (e.g., security scans, performance tests, or monitoring thresholds) that must pass before the deployment proceeds to the next environment. Furthermore, robust rollback strategies are essential; in the event of an unforeseen issue in production, the CD pipeline should facilitate a swift and automated reversion to a previously stable version of the application. The integration of Infrastructure as Code (IaC) tools (like Azure Resource Manager (ARM) templates, Terraform, or Bicep) with CD pipelines allows for the automated provisioning and configuration of target environments, ensuring consistency and preventing environmental drift.

Azure Pipelines provides a robust Release service (traditionally via a classic UI for release definitions or, more recently and powerfully, through multi-stage YAML pipelines) specifically designed to handle these intricate CD workflows. Multi-stage YAML pipelines unify the CI and CD definitions into a single, version-controlled file, providing end-to-end traceability and consistency. Within these pipelines, developers can define distinct stages for each environment (e.g., dev_deploy, qa_deploy, prod_deploy), with each stage comprising multiple jobs and tasks tailored for deployment. Azure Pipelines supports deployment to a wide array of targets, including Azure App Services, Azure Kubernetes Service (AKS), Virtual Machines (VMs) (via Deployment Groups), serverless functions, and other cloud providers. The platform’s capabilities for defining approvals and gates at various stages provide necessary human oversight or automated verification before critical deployments proceed. Variables and variable groups offer secure mechanisms for managing environment-specific configurations and credentials, ensuring that sensitive information is not hardcoded. Moreover, Azure Pipelines integrates seamlessly with external monitoring and alerting systems, allowing for proactive detection of issues post-deployment and enabling swift remediation, thus ensuring smooth operations and maintaining application health.

The Synergistic Nexus: CI/CD as a Unified Force in Azure Pipelines

The true transformative power of Continuous Integration and Continuous Delivery within the ambit of Azure Pipelines lies in their inextricable, symbiotic relationship. They are not isolated practices but rather two indispensable halves of a cohesive, integrated whole, each building upon the achievements of the other to create a resilient and highly automated software delivery pipeline. CI meticulously prepares and validates the software artifact, ensuring it is of high quality and free from integration conflicts. CD then takes this pristine artifact and automates its journey through various environments, ensuring consistent, reliable, and swift deployment.

This integrated approach fundamentally empowers developers to continuously test, build, and deploy their applications with minimal manual intervention. The automation inherent in CI/CD drastically reduces the potential for human error, which is a common source of bugs and deployment failures in traditional methodologies. The constant flow of validated code through the pipeline translates into enhanced reliability and stability for the deployed applications, as smaller, more frequent changes are inherently less disruptive than large, infrequent ones.

Furthermore, the CI/CD pipeline fosters faster feedback loops. Developers receive immediate notification of build or test failures in CI, allowing for rapid course correction. Once deployed via CD, telemetry and monitoring systems provide real-time insights into application performance and user behavior in production, feeding critical information back to the development teams for further iterations and improvements. This constant feedback mechanism cultivates a culture of continuous learning and refinement.

Beyond the technical advantages, the adoption of CI/CD, particularly through a mature platform like Azure Pipelines, precipitates a significant cultural shift towards a comprehensive DevOps philosophy. It breaks down the traditional silos between development and operations teams, promoting shared responsibility, collaborative problem-solving, and a unified vision for delivering value. This harmonious collaboration ensures that software is not just developed efficiently but also operated and maintained effectively in the long term.

From a broader business perspective, the benefits are profound. The capacity for faster feature delivery means organizations can bring new functionalities and innovations to market with unprecedented speed, gaining a significant competitive advantage. This agility allows businesses to respond nimbly to evolving customer needs, market dynamics, and competitive pressures. Ultimately, CI/CD, orchestrated through Azure Pipelines, leads to higher customer satisfaction due to the frequent delivery of stable, high-quality software, solidifying an organization’s reputation for reliability and innovation. It transforms software delivery from a burdensome, high-risk endeavor into a streamlined, automated, and continuous value stream

Embarking on the DevOps Journey: Navigating the Initial Triumphs of Azure Pipelines

The initiation into the transformative realm of Azure Pipelines, Microsoft’s robust cloud-based continuous integration and continuous delivery platform, commences with a fundamental yet pivotal step: establishing your digital presence within the Azure DevOps ecosystem. Before the architectural blueprint of your inaugural pipeline can materialize, a preliminary registration process is indispensable, serving as the gateway to harnessing its expansive capabilities. This foundational enrollment paves the way for a seamless voyage into automated software development workflows, from code genesis to operational deployment.

Accessing Azure Pipelines: Initial Registration Pathways and Organizational Genesis

The foundational act of signing up for Azure Pipelines is the unequivocal prerequisite for any endeavor within this powerful DevOps platform. It provides individuals and organizations with a personalized workspace, a digital atelier where the intricate machinery of automated builds, rigorous testing, and seamless deployments can be meticulously orchestrated. Fundamentally, there exist two primary, streamlined conduits for effecting this initial registration, each tailored to accommodate prevalent digital identities: leveraging a ubiquitous Microsoft Account or employing the widely adopted credentials of a GitHub Account.

Leveraging a Microsoft Account for Entry

The most direct and universally accessible pathway to commence your Azure Pipelines odyssey involves the utilization of a Microsoft Account. This encompasses personal email addresses (such as Outlook.com, Hotmail.com, Live.com) or even organizational accounts rooted in Azure Active Directory. The initial step necessitates navigating to the dedicated Azure Pipelines website, which serves as the digital vestibule to this powerful service. Upon reaching this digital destination, a prominent prompt, typically labeled “Start Free,” awaits your engagement. This invitation is more than a mere button; it signifies immediate access to the platform’s generous free tier, specifically tailored for individual developers and small teams, offering substantial compute minutes for both private and public projects.

Clicking “Start Free” will usher you into an authentication sequence, where you will be prompted to furnish your Microsoft email address, associated phone number, or Skype ID. This credential serves as your unique identifier within the Microsoft ecosystem. Should you already possess an active Microsoft Account, the process will seamlessly guide you through the standard sign-in protocol, typically involving password entry and any configured multi-factor authentication challenges. Conversely, for individuals yet to possess a Microsoft Account, a clear and intuitive “sign-up” option is readily available. This alternative pathway will guide you through a concise account creation wizard, necessitating basic personal details, an email verification step to affirm identity, and the establishment of a secure password. This ensures a robust and verified identity as the cornerstone of your forthcoming DevOps activities.

Upon successful authentication or account genesis, you will be intuitively directed to a Microsoft services selection interface. From this comprehensive compendium of offerings, the discerning choice of “Azure Pipelines” will initiate the final stages of your onboarding. A pivotal and often automatically orchestrated outcome of this initial sign-in is the automatic creation of an Azure DevOps organization. This organization is not merely a virtual placeholder; it functions as the top-level logical container for all your Azure DevOps activities, encompassing not just pipelines but also repositories, agile boards, test plans, and artifact feeds. It serves as a distinct administrative boundary, a security perimeter, and a billing unit within the broader Azure ecosystem. The unique identifier of this newly minted organization will typically be derived from your Microsoft Account details, and it will be perpetually accessible via a standardized URL format: https://dev.azure.com/yourorganization. This distinct URL becomes your personalized portal to your Azure DevOps environment, the central command center for all your future development operations. With the organization firmly established, the platform then awaits your directive to create your first project, the immediate next logical step in your pipeline development journey.

Gaining Entry via a GitHub Account

For developers deeply embedded within the GitHub ecosystem, a streamlined and equally potent alternative exists for initiating your Azure Pipelines experience: leveraging your existing GitHub credentials. This pathway is particularly appealing to those who primarily host their source code repositories on GitHub, offering a seamless and deeply integrated experience. The process commences by navigating to the designated Azure Pipelines page, mirroring the initial step for Microsoft Account users.

However, instead of opting for the generic “Start Free,” the strategic choice here is to select the prominently displayed “Start Free with GitHub” option. This action will redirect you to GitHub’s secure authentication portal, where you will be prompted to sign in using your established GitHub username and associated password. Following successful GitHub authentication, a critical authorization step ensues. You will be explicitly asked to authorize “Microsoft-Corp” to access your GitHub account. This authorization is a crucial security measure, as it grants Azure Pipelines the necessary permissions to interact with your GitHub repositories—for instance, to read code, set up webhooks for automated build triggers, and potentially manage repository settings relevant to CI/CD. It is imperative to review the requested permissions thoroughly to ensure they align with your expectations and security policies.

Upon successful authorization, an Azure DevOps organization will be automatically provisioned for you, much like with a Microsoft Account signup. This organization’s naming convention will often reflect your GitHub account details, creating an intuitive link between your source control and your CI/CD platform. This newly forged organization will be accessible via the familiar Azure DevOps URL structure: https://dev.azure.com/yourorganization. This seamless integration empowers GitHub users to swiftly transition from source code management to robust, automated pipeline orchestration without significant configuration overhead. Once the organization is established, the system will prompt you to proceed to create a new project, serving as the initial container for your forthcoming development workflows.

Establishing Your Foundation: Creating a New Project in Azure Pipelines

With the foundational Azure DevOps organization firmly established, the immediate and logical progression in leveraging Azure Pipelines involves the creation of your first project. Projects are not merely arbitrary labels; they represent the indispensable, foundational organizational units within Azure Pipelines (and indeed, the broader Azure DevOps suite). They serve as comprehensive logical containers, meticulously designed to house and manage an entire ecosystem of development resources, encompassing your automated pipelines, version control repositories, agile planning boards, test plans, artifact feeds, and even project-specific wikis. This centralized grouping ensures cohesive management and streamlined collaboration for a specific product, service, or initiative.

To embark on the creation of this pivotal organizational unit, a straightforward process unfolds. Typically, after your initial successful sign-in to your newly formed Azure DevOps organization, you will be intuitively greeted by a prominent prompt or a dedicated section inviting you to “Create a new project.” This design choice ensures that the next logical step in your CI/CD journey is immediately evident and accessible.

The first imperative step within this creation wizard is to enter a meaningful project name. This naming convention is more than a mere label; it is a critical identifier that should be descriptive, clear, and consistent with your organizational conventions. A well-chosen name enhances discoverability, facilitates quick identification, and provides immediate context for team members and stakeholders navigating the Azure DevOps interface. Considerations for naming include the specific application name, the service it supports, or the overarching initiative it represents. This name will also often become part of the project’s URL, making it publicly visible if the project’s visibility is set accordingly.

Following the naming convention, you will be prompted to set the project visibility, a crucial configuration that dictates who can access and view your project’s contents. Azure DevOps offers two primary visibility settings:

• Public: Choosing “Public” makes your project accessible to anyone on the internet, even without an Azure DevOps account. This setting is typically embraced by open-source projects, community-driven initiatives, or educational endeavors where maximum transparency and broad collaboration are desired. While public projects allow for wide visibility, it’s paramount to be acutely aware of the security implications; sensitive information, credentials, or proprietary code should never reside in a public repository or be processed by a public pipeline.
• Private: This is the default and recommended setting for most enterprise and internal projects. A “Private” project restricts access exclusively to authenticated users who have been explicitly granted permissions within your Azure DevOps organization. This ensures stringent access control and maintains the confidentiality of proprietary code, internal strategies, and sensitive business data.

Optionally, you are afforded the opportunity to add a concise description to your project. While not mandatory for project creation, providing context through a well-articulated description is a highly recommended best practice. A clear description can succinctly explain the project’s purpose, its core objectives, or the team responsible for its development. This metadata proves invaluable for new team members joining the project, for stakeholders seeking quick context, and for long-term project understanding and archival purposes. A comprehensive description minimizes ambiguity and fosters a shared understanding of the project’s scope.

Once these parameters are diligently configured, a final affirmative action, typically by clicking “Create Project,” will set the provisioning process in motion. Behind the scenes, Azure DevOps will allocate and configure the necessary resources, establish the foundational file structures, and prepare the project for your impending CI/CD activities. Upon the successful completion of this provisioning, you will be seamlessly directed to your newly minted project dashboard. This dashboard serves as your centralized operational hub, providing a high-level overview of your project’s status, quick links to its various components (Boards, Repos, Pipelines, Test Plans), and an intuitive interface from which to commence the intricate task of building your inaugural pipelines.

A significant advantage of this project-based organizational structure is its inherent facilitation of collaborative development. Immediately after project creation, or at any subsequent juncture, you possess the capability to invite team members to collaborate within the project. This collaborative feature is intrinsically tied to the DevOps philosophy, emphasizing shared ownership and collective responsibility. Team members can be invited by their email address or by searching for existing users within your Azure DevOps organization (or linked Azure Active Directory). Furthermore, Azure DevOps supports role-based access control (RBAC), allowing you to assign different permission levels to invited individuals. For instance, some members might be designated as “Readers” with view-only access, while others could be “Contributors” with permissions to commit code and create pipelines, and a select few might hold “Project Administrator” roles with full control over project settings. This tiered access ensures that each team member operates within the appropriate security boundaries, making it easier to work together efficiently and securely on builds, deployments, and overall project management. This early integration of the team fosters a shared understanding of the project’s goals and streamlines the collective effort towards automated software delivery.

Beyond the Initial Setup: Laying the Groundwork for Pipeline Success

With the project successfully instantiated, the stage is impeccably set for the subsequent phases of pipeline development. While the project creation marks a significant milestone, a few preparatory steps often precede the actual pipeline definition. This includes initializing or importing source code repositories – whether you’re connecting to an Azure Repos Git repository, a GitHub repository, or another external source control system. The choice of repository will dictate how your CI pipeline is triggered by code changes.

A cornerstone of modern Azure Pipelines is the emphasis on YAML pipelines as code. Instead of relying solely on graphical user interfaces, developers are encouraged to define their build and release processes directly within version-controlled YAML files (e.g., azure-pipelines.yml). This approach brings the benefits of versioning, peer review, and consistency to your CI/CD definitions themselves.

Furthermore, consider the environment in which your pipelines will execute. Azure Pipelines offers a range of agent pools, allowing you to choose between Microsoft-hosted agents (convenient and managed) or self-hosted agents (for specific software requirements or on-premises resources). Setting up service connections is another vital preliminary step for pipelines that interact with external services, such as cloud storage accounts, container registries, or third-party APIs, ensuring secure authentication.

From the outset, inculcating robust security practices is paramount. This includes securely storing credentials (e.g., in Azure Key Vault integrated with Azure Pipelines), applying the principle of least privilege to service connections, and regularly reviewing pipeline permissions. Finally, adopting an iterative approach to pipeline development is highly advisable. Start with a basic CI pipeline that builds and runs unit tests, then progressively add more sophisticated steps like integration tests, deployment stages, and security scans. This incremental development ensures stability and allows for continuous refinement of your automated delivery process. The journey into Azure Pipelines, commencing with a straightforward signup and project creation, rapidly evolves into a sophisticated, automated ecosystem that fundamentally redefines modern software development.

Defining Azure Pipelines Using YAML Configuration

One of the most flexible ways to define your pipelines is through YAML files. This method involves adding a file named azure-pipelines.yml directly into your source code repository.

Advantages of using YAML include:

• Version control: Your pipeline configuration evolves with your codebase.

• Branch-specific builds: You can customize pipelines per branch.

• Code reviews: Pipeline changes are trackable and reviewable like any other code change.

Steps to set up a YAML pipeline:

1. Enable Azure Pipelines integration with your Git repository.

2. Create or edit the azure-pipelines.yml file to describe your build and deployment steps.

3. Commit and push the file to your repository.

4. Azure Pipelines automatically detects the file and triggers the build and deployment process.

5. Monitor pipeline execution through the Azure DevOps portal.

This approach ensures continuous validation and integration of your code in a repeatable, transparent manner.

Creating Pipelines Using the Classic Visual Editor

If you prefer a GUI-based setup, Azure Pipelines offers a Classic editor within the Azure DevOps web portal. This method is user-friendly and suitable for users less familiar with YAML syntax.

Steps for using the Classic editor:

1. Configure Azure Pipelines to connect with your Git repository.

2. Use the Classic editor to create both Build Pipelines and Release Pipelines.

3. Define build tasks such as compiling code and running tests.

4. Publish build artifacts at the end of the build pipeline.

5. Create release pipelines to deploy these artifacts to designated environments.

6. Trigger pipeline runs by pushing code changes to the repository.

7. Monitor pipeline status and results in the portal dashboard.

This visual approach is ideal for quick setups and managing complex pipelines with ease.

Key Azure Pipelines Concepts You Should Know

To effectively use Azure Pipelines, familiarize yourself with the following terms:

• Trigger: An event that starts the pipeline (e.g., a code push).

• Pipeline: A collection of stages that define the automation process.

• Stage: A logical group of jobs within a pipeline, often representing an environment or phase.

• Job: A unit of work executed by an agent, containing one or more steps.

• Agent: The compute resource that runs jobs and executes pipeline tasks.

• Step: An individual action within a job, such as running a script or task.

• Task: A predefined script or action, like building code or publishing artifacts.

• Script: Custom code executed as part of the pipeline, using languages like PowerShell or Bash.

• Artifact: The output files or packages generated during the build, ready for deployment.

• Run: A single execution instance of a pipeline.

Understanding these terms helps you design, troubleshoot, and optimize your pipelines effectively.

Conclusion: Why Choose Azure Pipelines for Your CI/CD Needs?

Azure Pipelines offers a versatile, powerful solution to automate your software development lifecycle. It supports a wide variety of languages and platforms, works seamlessly with open-source projects, and integrates natively with GitHub and other repositories.

By leveraging Azure Pipelines, your team can achieve faster build times, reliable deployments, and enhanced collaboration across development and operations. Its compatibility with Linux, macOS, and Windows agents makes it truly cross-platform.

Start building your first pipeline today and unlock the full potential of continuous integration and continuous delivery with Microsoft Azure.