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What is SDLC?

SDLC (Software Development Life Cycle) is a structured process used to develop high-quality software in a systematic, cost-effective, and timely manner. It defines a series of steps or phases that guide the software development process from initial requirements to final deployment and maintenance.

SDLC Phases Explained

1. Requirement Gathering and Analysis

  • Involves collecting business needs and expectations from stakeholders.
  • Conducted by Business Analysts, Product Owners, and Clients.
  • Output: Requirements Specification Document (FRD/BRD).

DevOps Role: Not directly involved, but early collaboration with DevOps helps align infrastructure needs and CI/CD planning.

2. System Design

  • Translates requirements into a blueprint (architecture).
  • Includes UI/UX design, database schema, infrastructure planning, and technology stack selection.

DevOps Role:

  • Plan infrastructure as code (IaC) using tools like Terraform.
  • Decide deployment models (e.g., cloud vs on-prem).
  • Design scalable environments with high availability.

3. Implementation / Development

  • Developers write the code based on design specs.
  • Code is version-controlled using Git and follows best practices.

DevOps Role:

  • Set up CI/CD pipelines (e.g., Jenkins, GitHub Actions) to automate builds, tests, and deployments.
  • Containerize applications using Docker.
  • Use tools like SonarQube or Trivy for code quality and security scanning.

4. Testing

  • QA team tests the application for bugs, performance, security, and compliance.
  • Includes unit testing, integration testing, system testing, and UAT (User Acceptance Testing).

DevOps Role:

  • Automate test stages in CI/CD.
  • Use tools like Selenium, JUnit, or Cypress.
  • Deploy test environments using Kubernetes or Docker Compose.

5. Deployment

  • Application is deployed to production after successful testing.
  • May involve Blue-Green, Canary, or Rolling deployments.

DevOps Role:

  • Handle automated and repeatable deployments using Helm, ArgoCD, or Spinnaker.
  • Use monitoring tools (Prometheus, Grafana) to track deployment health.
  • Rollback in case of failure using GitOps or Helm revisions.

6. Maintenance & Monitoring

  • After release, the software is continuously monitored for issues.
  • Updates, patches, and performance tuning are performed as needed.

DevOps Role:

  • Monitor app and infrastructure with CloudWatch, ELK Stack, or Datadog.
  • Set up alerting systems for critical issues.
  • Handle on-call support and incident response.

📊 SDLC Models (Popular Variants)

Model Description
Waterfall Linear and sequential; each phase must complete before moving forward.
Agile Iterative; continuous development, testing, and feedback.
DevOps Integrates development and operations; focuses on automation & collaboration
V-Model Validation and verification are done side-by-side.
Spiral Risk-based iterative model for large, complex projects.

In Real time , majority of the project uses Agile with DevOps Approach .

🚀 How DevOps Enhances SDLC

SDLC Phase DevOps Contribution
Design Infra-as-code, container strategy
Development Automated builds, version control
Testing CI-integrated testing
Deployment CD pipelines, rollback, GitOps
Maintenance Monitoring, logging, on-call support

Real-Time Example

Imagine you're building an e-commerce website:

  • Requirement: Business wants users to log in, search, and pay online.
  • Design: Frontend in React, backend in Node.js, hosted on AWS.
  • Development: Developers write code, push to GitHub.
  • Testing: Jenkins runs automated tests.
  • Deployment: Helm deploys app to EKS; ArgoCD handles GitOps.
  • Monitoring: Prometheus tracks CPU/memory, alerts go to Slack.