What is DevOps? - Azure DevOps (2023)

DevOps combines development (Dev) and operations (Ops) to unite people, process, and technology in application planning, development, delivery, and operations. DevOps enables coordination and collaboration between formerly siloed roles like development, IT operations, quality engineering, and security.

Teams adopt DevOps culture, practices, and tools to increase confidence in the applications they build, respond better to customer needs, and achieve business goals faster. DevOps helps teams continually provide value to customers by producing better, more reliable products.

DevOps and the application lifecycle

DevOps influences the application lifecycle throughout its planning, development, delivery, and operations phases. Each phase relies on the other phases, and the phases aren't role-specific. A DevOps culture involves all roles in each phase to some extent.

The following diagram illustrates the phases of the DevOps application lifestyle:

DevOps goals and benefits

When a team adopts DevOps culture, practices, and tools, they can achieve amazing things:

Adopt a DevOps culture

To fully implement DevOps, you must adopt a DevOps culture. Cultivating a DevOps culture requires deep changes in the way people work and collaborate. When organizations commit to a DevOps culture, they create an environment for high-performing teams to evolve. While adopting DevOps practices automates and optimizes processes through technology, without a shift to a DevOps culture within the organization and its people, you won't gain the full benefits of DevOps.

The following image captures key aspects of Microsoft's live site culture.

The following practices are key components of a DevOps culture:

• Collaboration, visibility, and alignment: A hallmark of a healthy DevOps culture is collaboration between teams. Collaboration starts with visibility. Development, IT, and other teams should share their DevOps processes, priorities, and concerns with each other. By planning their work together, they are better positioned to align on goals and measures of success as they relate to the business.
• Shifts in scope and accountability: As teams align, they take ownership and become involved in other lifecycle phases—not just the ones central to their roles. For example, developers become accountable not only to the innovation and quality established in the develop phase, but also to the performance and stability their changes bring in the operate phase. At the same time, IT operators are sure to include governance, security, and compliance in the plan and develop phase.
• Shorter release cycles: DevOps teams remain agile by releasing software in short cycles. Shorter release cycles make planning and risk management easier since progress is incremental, which also reduces the impact on system stability. Shortening the release cycle also allows organizations to adapt and react to evolving customer needs and competitive pressure.
• Continuous learning: High-performing DevOps teams establish a growth mindset. They fail fast and incorporate learnings into their processes. They strive to continually improve, increase customer satisfaction, and accelerate innovation and market adaptability.

Implement DevOps practices

You implement DevOps by following DevOps practices (described in the sections that follow) throughout the application lifecycle. Some of these practices help accelerate, automate, and improve a specific phase. Others span several phases, helping teams create seamless processes that help improve productivity.

Continuous integration and continuous delivery (CI/CD)

Continuous Integration (CI) is the practice used by development teams to automate, merge, and test code. CI helps to catch bugs early in the development cycle, which makes them less expensive to fix. Automated tests execute as part of the CI process to ensure quality. CI systems produce artifacts and feed them to release processes to drive frequent deployments.

Continuous Delivery (CD) is a process by which code is built, tested, and deployed to one or more test and production environments. Deploying and testing in multiple environments increases quality. CD systems produce deployable artifacts, including infrastructure and apps. Automated release processes consume these artifacts to release new versions and fixes to existing systems. Systems that monitor and send alerts run continually to drive visibility into the entire CD process.

Version Control

Version control is the practice of managing code in versions—tracking revisions and change history to make code easy to review and recover. This practice is usually implemented using version control systems such as Git, which allow multiple developers to collaborate in authoring code. These systems provide a clear process to merge code changes that happen in the same files, handle conflicts, and roll back changes to earlier states.

The use of version control is a fundamental DevOps practice, helping development teams work together, divide coding tasks between team members, and store all code for easy recovery if needed. Version control is also a necessary element in other practices such as continuous integration and infrastructure as code.

Agile software development

Agile is a software development approach that emphasizes team collaboration, customer and user feedback, and high adaptability to change through short release cycles. Teams that practice Agile provide continual changes and improvements to customers, collect their feedback, then learn and adjust based on customer wants and needs. Agile is substantially different from other more traditional frameworks such as waterfall, which includes long release cycles defined by sequential phases. Kanban and Scrum are two popular frameworks associated with Agile.

Infrastructure as code

Infrastructure as code defines system resources and topologies in a descriptive manner that allows teams to manage those resources as they would code. Those definitions can also be stored and versioned in version control systems, where they can be reviewed and reverted—again like code.

Practicing infrastructure as code helps teams deploy system resources in a reliable, repeatable, and controlled way. Infrastructure as code also helps automate deployment and reduces the risk of human error, especially for complex large environments. This repeatable, reliable solution for environment deployment lets teams maintain development and testing environments that are identical to production. Duplicating environments to different data centers and cloud platforms likewise becomes simpler and more efficient.

Configuration management

Configuration management refers to managing the state of resources in a system including servers, virtual machines, and databases. Using configuration management tools, teams can roll out changes in a controlled, systematic way, reducing the risks of modifying system configuration. Teams use configuration management tools to track system state and help avoid configuration drift, which is how a system resource’s configuration deviates over time from the desired state defined for it.

Along with infrastructure as code, it's easy to templatize and automate system definition and configuration, which help teams operate complex environments at scale.

Continuous monitoring

Continuous monitoring means having full, real-time visibility into the performance and health of the entire application stack. This visibility ranges from the underlying infrastructure running the application to higher-level software components. Visibility is accomplished through the collection of telemetry and metadata and setting of alerts for predefined conditions that warrant attention from an operator. Telemetry comprises event data and logs collected from various parts of the system, which are stored where they can be analyzed and queried.

High-performing DevOps teams ensure they set actionable, meaningful alerts and collect rich telemetry so they can draw insights from vast amounts of data. These insights help the team mitigate issues in real time and see how to improve the application in future development cycles.

Planning

In the planning phase, DevOps teams ideate, define, and describe the features and capabilities of the applications and systems they plan to build. Teams track task progress at low and high levels of granularity, from single products to multiple product portfolios. Teams use the following DevOps practices to plan with agility and visibility:

• Create backlogs.
• Track bugs.
• Manage Agile software development with Scrum.
• Use Kanban boards.
• Visualize progress with dashboards.

For an overview of the several lessons learned and practices Microsoft adopted to support DevOps planning across the company's software teams, see How Microsoft plans with DevOps.

Development

The development phase includes all aspects of developing software code. In this phase, DevOps teams do the following tasks:

• Select a development environment.
• Write, test, review, and integrate the code.
• Build the code into artifacts to deploy into various environments.
• Use version control, usually Git, to collaborate on code and work in parallel.

To innovate rapidly without sacrificing quality, stability, and productivity, DevOps teams:

• Use highly productive tools.
• Automate mundane and manual steps.
• Iterate in small increments through automated testing and continuous integration (CI).

For an overview of the development practices Microsoft adopted to support their shift to DevOps, see How Microsoft develops with DevOps.

Deliver

Delivery is the process of consistently and reliably deploying applications into production environments, ideally via continuous delivery (CD).

In the delivery phase, DevOps teams:

• Define a release management process with clear manual approval stages.
• Set automated gates to move applications between stages until final release to customers.
• Automate delivery processes to make them scalable, repeatable, controlled, and well-tested.

Delivery also includes deploying and configuring the delivery environment's foundational infrastructure. DevOps teams use technologies like infrastructure as code (IaC), containers, and microservices to deliver fully governed infrastructure environments.

Safe deployment practices can identify issues before they affect the customer experience. These practices help DevOps teams deliver frequently with ease, confidence, and peace of mind.

Core DevOps principles and processes Microsoft evolved to provide efficient delivery systems are described in How Microsoft delivers software with DevOps.

Operations

The operations phase involves maintaining, monitoring, and troubleshooting applications in production environments, including hybrid or public clouds like Azure. DevOps teams aim for system reliability, high availability, strong security, and zero downtime.

Automated delivery and safe deployment practices help teams identify and mitigate issues quickly when they occur. Maintaining vigilance requires rich telemetry, actionable alerting, and full visibility into applications and underlying systems.

Practices Microsoft uses to operate complex online platforms are described in How Microsoft operates reliable systems with DevOps.

Next steps

• Plan efficient workloads with DevOps
• Develop modern software with DevOps
• Deliver quality services with DevOps
• Operate reliable systems with DevOps

Other resources

• DevOps solutions on Azure
• The DevOps journey at Microsoft
• Start doing DevOps with Azure
• Security in DevOps (DevSecOps)

Training and Certifications

• Get started with Azure DevOps
• Introduce DevOps Dojo: Create efficiencies that support your business
• AZ-400: Get started on a DevOps transformation journey
• Facilitate communication and collaboration
• Exam AZ-400: Designing and Implementing Microsoft DevOps Solutions
• AZ-400: Implement security and validate code bases for compliance