DevOps - Definition & Overview

What is DevOps?

DevOps is a set of practices and a cultural approach that integrates software development and IT operations to improve how applications are built, deployed and maintained. It focuses on closer collaboration between teams to enable faster delivery, better quality and more reliable software releases.

Rather than a specific tool or methodology, DevOps represents a way of working that emphasizes automation and continuous feedback across the software development lifecycle. By reducing handoffs and aligning teams around common objectives, it helps organizations achieve more consistent and predictable outcomes.

DevOps Lifecycle

The DevOps lifecycle represents a continuous and iterative process that guides how software is planned, built, delivered and improved. While the exact stages may vary across organizations, the DevOps lifecycle generally follows a structured flow that supports continuous improvement:

Planning

Teams define new features, enhancements and fixes based on business goals, user feedback, and operational inputs. These requirements are organized into a prioritized backlog that guides future development work.

Coding

Developers write and refine code based on the planned requirements. This stage often emphasizes quality through integrated practices and early validation before changes move further in the pipeline.

Building

New code is integrated with the existing codebase and prepared for release.  Through automated workflows, the system compiles and packages the software, archiving standardized build outputs to ensure consistency across all future deployment stages.

Testing

Applications are validated to ensure they meet functional, performance and security expectations. Testing is largely automated and may occur at multiple points in the lifecycle to identify issues early.

Release

Once the application meets defined standards, it is approved for production use. Final checks help confirm readiness while minimizing the risk of issues reaching end users.

Deploy

The application is deployed to the production environment. Deployments may be gradual, allowing teams to verify stability before making changes available to all users.

Operate

Teams oversee the production environment to ensure seamless application delivery. This involves managing infrastructure to maintain availability, performance, and security.

Monitor

Performance metrics, system behavior, and user feedback are continuously tracked. Insights from monitoring help teams refine processes and inform planning for the next cycle.

Together, these stages form a continuous loop, allowing organizations to deliver updates more frequently while maintaining stability, quality, and control.

Core DevOps Practices

A set of foundational practices supports DevOps by enabling teams to deliver software quickly while maintaining quality and stability.

Continuous Integration (CI)

Continuous integration involves regularly merging code changes into a shared repository, where automated checks validate the changes. By identifying issues early, CI helps teams maintain code quality and reduces delays caused by late-stage fixes.

Continuous Delivery (CD)

Continuous delivery extends integration by ensuring that validated code is always in a deployable state. Automated pipelines manage builds, testing, and release readiness, enabling teams to deploy updates with greater confidence and consistency.

Automation

Automation reduces manual intervention across development, testing, deployment, and operations. Automated workflows help teams accelerate delivery, improve repeatability, and minimize human error in routine processes.

Infrastructure as Code (IaC)

Infrastructure as Code treats infrastructure configurations the same way as application code. Environments are defined, versioned, and managed through code, allowing teams to provision and manage infrastructure consistently across on-premises and cloud environments.

Microservices Architecture

Microservices break applications into smaller, independently deployable services. This approach allows teams to develop, test, and deploy components separately, supporting faster releases and greater flexibility.

Monitoring and Observability

Monitoring focuses on tracking application performance, system health, and user experience in real time. Continuous visibility into logs, metrics, and system behavior enables teams to detect issues early and improve reliability over time.

Top DevOps Tools

A variety of tools help teams automate workflows, collaborate more effectively, and maintain a reliable delivery process across development and operations. These tools are typically used together as a connected set, allowing changes in code, configuration, testing, or deployment to move smoothly into production.

Jira: A planning and project tracking tool that lets teams organize work, prioritize tasks, and monitor progress during development.

Confluence: A collaborative workspace for documentation and knowledge sharing, often used alongside planning tools to centralize project information.

GitHub / Bitbucket: Source code hosting and version control platforms that allow teams to manage code changes, review updates, and collaborate on shared repositories.

GitLab: A comprehensive DevOps platform that combines version control with integrated continuous integration and delivery (CI/CD) capabilities.

Jenkins: An open-source automation server that orchestrates builds, tests, and deployments through configurable pipelines.

Docker: A tool for containerizing applications so they run consistently across different environments from development to production.

DevOps Center: A Salesforce-native release management solution that helps teams adopt modern CI/CD practices and move changes between environments with visibility and control.

Gearset:  A deployment and release automation platform with features for CI/CD, change tracking, and impact analysis to speed up and secure delivery.

Copado: An enterprise DevOps platform built for Salesforce that integrates workflow automation, compliance tracking, and version control to manage the full delivery process.