What Is DevOps?

Learn about DevOps, a software engineering practice that breaks down silos between developers and IT operations teams to deliver products and services quickly and efficiently in the cloud.

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What Is DevOps, and How Does It Work?

DevOps is a cross-disciplinary practice in which application development (dev) teams collaborate with IT operations (ops) to improve product quality and accelerate time to market.

In a DevOps framework, developers and IT managers collaborate with experts in quality control, security, and support throughout every project stage. This cooperative effort aims to deliver code rapidly in a seamless loop of continuous integration and continuous delivery (CI/CD).

DevOps builds on the frequent releases and CI/CD aspects of agile development methods but adds infrastructure management to make product delivery more flexible and dynamic.

When properly implemented, DevOps replaces silos, rigid job descriptions, and bottlenecks with a responsive, cross-disciplinary model that enables innovation and continuous improvement.

Core Principles of DevOps

DevOps principles focus on unifying development and operations through seamless collaboration, shared responsibility, and continuous improvement. These principles emphasize automation, continuous integration and delivery, treating infrastructure as code, and establishing comprehensive monitoring systems.

DevOps embraces rapid iteration with frequent, small-scale changes that minimize risk while accelerating delivery. Security is integrated early and throughout the process rather than as a final checkpoint.

Organizations that adopt DevOps create environments where people learn from mistakes, experiment with new methods, and make data-driven decisions. This approach helps businesses respond better to market needs while maintaining robust, secure, and scalable systems.

The DevOps Life Cycle

The stages of the DevOps life cycle include ongoing planning, development, integration (code merges), testing, deployment, real-time monitoring, and retrospection (feedback).

In comparison, traditional software development life cycles follow a sequential phase-based process, have siloed teams, rely heavily on manual processes rather than automation, and have fewer and larger releases. Late-phase feedback and the rigid nature of the process can result in delayed defect detection, slower delivery, and the inability to pivot quickly to changing needs.

DevSecOps: Security

DevSecOps evolves DevOps by embedding security throughout the development life cycle rather than treating it as a final step. Security testing, vulnerability scanning, and compliance checks are integrated into automated pipelines alongside functional testing. Automated security tools scan dependencies, configurations, and infrastructure code as part of the workflow. Security experts may also be added to development teams to boost security awareness, identify needs, and improve practices across the team. Combined, the DevSecOps approach gives developers immediate feedback on vulnerabilities during coding, avoiding late-stage discoveries.

DevOps and Cloud Computing

DevOps and cloud computing can be used together to drive modern software delivery. Cloud platforms provide the ideal infrastructure for DevOps practices, offering scalable, on-demand resources and an environment that supports development and automated testing, deployment, and monitoring.

For example, teams can use infrastructure-as-code (IaC) tools to automate environment provisioning and standardize deployment in the cloud. This helps eliminate human error, accelerate delivery cycles, and maintain consistent quality across environments.

DevOps teams can then use virtualization and containerization in the cloud to develop and test applications in identical environments simultaneously and provision additional resources as needed.

Benefits of DevOps

The continuous, collaborative nature of DevOps delivers several benefits, including:

 

  • Efficiency: Continuous iterations, monitoring, and testing result in more-frequent releases than traditional development approaches.
  • Agility: New features or bug fixes can be delivered to market sooner; products and services can be adapted to suit customers’ needs more efficiently and cost-effectively.
  • Improved compliance: Security and compliance best practices are integrated throughout the process, automated monitoring helps identify issues earlier, and the DevOps process enables faster deployment of any needed fixes.

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Challenges of DevOps

Implementing a DevOps framework presents various challenges, many extending beyond technical considerations:

 

  • Existing infrastructure: Integrating legacy systems with DevOps practices often requires modernization efforts to balance operational stability with the need for improved development processes.
  • Organizational resistance: Teams accustomed to focused responsibilities may struggle to embrace shared ownership and cross-functional collaboration.
  • Skill set gaps: Traditional specialists need to become skilled in technology for both development and operations.
  • Security integration: Traditional security approaches have a rigid layer-based approach that often conflicts with DevOps’ agile, rapid deployment cycles.
  • Enterprise-wide adoption: Organizations that have made progress implementing DevOps can face challenges as they scale from pilot teams to enterprise-wide adoption.

Implementing DevOps

Implementing DevOps requires balancing technical changes with necessary organizational shifts, including:

 

  • Leadership commitment: DevOps transforms established processes. Leadership support is essential to overcome organizational hurdles. Leaders must view DevOps as a continuous improvement journey where feedback drives process, workflow, and tool enhancements.
  • Shared goals: Organizations can promote collaboration by establishing common goals and metrics aligned with business objectives.
  • Training and toolsets: Vital steps in implementing DevOps include selecting key tools for automation and collaboration and upskilling team members.
  • Scaled adoption: Consistent with DevOps principles, starting with small, value-demonstrating projects is critical before expanding across the organization.

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DevOps Tools

DevOps tools are the technological backbone that enables teams to implement automation, collaboration, and continuous delivery at scale. They span the entire software delivery life cycle and support end-to-end automation while providing necessary visibility and control points throughout the delivery process. DevOps tools often used include:

 

  • Planning and source control tools.
  • Platforms that automate building, testing, and deployment processes.
  • Tools for managing and provisioning infrastructure as code.
  • Container orchestration platforms that help teams manage application scaling and reliability.
  • Monitoring and observability tools that provide critical insights into system performance and user experience.
  • Security toolsets that analyze code for quality and vulnerabilities.

Cloud Optimization Tools for DevOps

Cloud implementations can be extremely complex. Cloud optimization and management tools enable teams to simplify and accelerate cloud migrations and maximize performance by optimizing workload placement and the workloads themselves, helping to control costs across cloud infrastructure.

DevOps Best Practices and Use Cases

The following DevOps best practices have been widely adopted across industries.

Continuous Integration (CI)

CI enables faster development cycles, improved code quality, and reduced integration problems. By automating repetitive tasks, CI frees developers to focus on creative problem-solving while maintaining code integrity. CI also creates frequent feedback loops that help teams continuously improve their codebase.

Continuous Delivery (CD)

CD builds on continuous integration by automating the entire software release process, ensuring code changes are always in a deployable state after passing automated tests. It establishes a reliable deployment pipeline that moves code through various testing environments before reaching production, enabling teams to release new features quickly and with reduced risk.

Automation

Automation is a core tenet of effective DevOps implementation, helping transform manual, error-prone processes into reliable, repeatable operations. Automating infrastructure provisioning, code testing, deployment pipelines, and monitoring systems can help organizations eliminate human error, accelerate delivery cycles, and maintain consistent quality across environments.

Infrastructure as Code (IaC)

IaC replaces manual infrastructure management with code, allowing teams to programmatically set up and control resources. By applying software development practices, IaC creates consistent environments and helps avoid common configuration, versioning, and dependency issues. It enables quick setup and ensures uniformity across development, testing, and production.

IaC also provides benefits like tracking infrastructure changes and ensuring compliance while providing developers with self-service capabilities to speed up resource management.

Microservices

Microservices architecture helps break down large applications into smaller, independently deployable services. This approach enables teams to develop, test, and deploy services autonomously across an entire application, accelerating delivery cycles and innovation. Each microservice can be built using the most appropriate technology stack, scaled independently based on demand, and updated without risking the stability of the entire system.

Collaboration

DevOps centers on collaboration to address traditional organizational barriers, transforming how development, operations, security, and business teams work together in software delivery. This organizational shift emphasizes shared ownership and accountability, helping to increase development speed and operational stability.

Monitoring

Comprehensive monitoring provides real-time insights into system performance and improvement. Modern DevOps monitoring blends technical observability with business metrics for a complete picture of digital service delivery. This helps identify issues early, shorten incident resolution time, and supports informed decision-making across the organization.

The Future of DevOps

DevOps best practices are becoming essential to the success of cloud application development, especially for the “as a Service” (XaaS) product delivery method. New XaaS applications are emerging as more organizations realize DevOps benefits. GitOps, DataOps, MLOps, and FinOps, for example, apply DevOps principles to infrastructure, data, machine learning, and finance, respectively.

Platform engineering—in which teams create internal platforms to automate and simplify software development—and low-code or no-code automation tools will continue to streamline DevOps adoption, reducing complexity and implementation time.

Finally, DevOps principles are expected to reach beyond technology teams, transforming organizations into places where trying new ideas, receiving quick feedback, and continually improving are standard business practices.