Understanding the Different Stages of the DevOps Lifecycle and the Tools Used

1. Development Phase

Plan

The planning stage includes all activities before actual coding, such as creating product roadmaps based on vision and customer feedback, breaking them into epics, features, and user stories, and prioritizing them with tools.

Jira

Azure DevOps

Asana

Code

Developers use various programming languages and IDEs (e.g., Python, Java, JavaScript) and rely on version‑control systems like Git, GitHub, and Bitbucket to maintain code and facilitate communication between development and operations.

PyCharm

Visual Studio

Eclipse

Build

Building transforms source code into executable artifacts, often involving compilation, testing (unit, integration), packaging, health checks, and report generation.

Ant

Maven

Gradle

Test

After building, code is deployed to a staging environment where manual and automated tests run using tools such as Selenium, TestNG, or JUnit, with Docker containers simulating test environments and Jenkins automating the process.

Selenium

TestNG

JUnit

2. Deployment Phase

Release

The release stage prepares code for deployment after it has passed all tests, often adding manual approval steps to ensure only authorized personnel can push to production.

Deploy

Deployment moves changes from one environment to another, ultimately delivering them to production.

Jenkins

Spinnaker

ArgoCD

3. Operations Phase

Operate

After deployment, the operations team ensures the system runs as expected, manages infrastructure, interacts with customers, and feeds insights back into future planning.

Monitor

Monitoring collects data on user behavior, performance, and errors, analyzes it for insights, and informs decision‑making for the next DevOps cycle.

Prometheus

Zabbix

4. CI/CD

Continuous Integration (CI) automates code submission, building, and testing, with tools like Jenkins. Continuous Delivery extends CI by automating deployment to test or production environments, while Continuous Deployment goes further by fully automating production releases.