CI/CD Pipeline for Microservices
An automated build, test and deploy pipeline for containerised services with staged environments and rollback.
Project overview
Every push runs linting and tests, builds a container image, publishes it to a registry, deploys to staging automatically, and promotes to production on approval. A failed health check triggers an automatic rollback to the previous image.
The deliverable is the pipeline itself, demonstrated on a small multi-service application, with measurements of how long a change takes to reach production.
Problem statement
Manual deployment is slow, inconsistent between team members, and unrecoverable under pressure. Without automated gates, a broken commit reaches production and the rollback becomes an improvised scramble.
Proposed solution
Define the entire path from commit to production as code: containerised builds for reproducibility, automated tests as a blocking gate, environment promotion with approval, and health-checked deployment with automatic rollback on failure.
Key features
- Multi-stage Dockerfiles producing small production images
- Automated unit and integration tests as a blocking gate
- Container image publishing with commit-based version tags
- Separate staging and production environments
- Manual approval gate before production promotion
- Health checks after deploy with automatic rollback on failure
- Secrets managed outside the repository
- Deployment notifications and a lead time metric per release
Technology stack
CI/CD
Containers
Deployment
Quality
System architecture
The flow below is what goes into your architecture diagram and the corresponding chapter of the report.
- Push to a feature branch triggers lint and unit tests
- Merge to main builds images for each changed service
- Images are scanned for vulnerabilities and pushed to the registry
- Staging deployment runs automatically and executes smoke tests
- Approval gate promotes the exact same image to production
- Post-deploy health checks roll back to the previous tag on failure
Expected output
- Working pipeline visible in the CI dashboard
- Deployment history with image tags per release
- Rollback demonstration from a deliberately broken commit
- Lead time measurement from commit to production
Suitable branches, difficulty and duration
Documentation, review, demo and viva support
Documentation support
Abstract, problem statement, literature survey guidance, system architecture, ER and UML diagrams, module descriptions, test cases and screenshots — prepared in your department format.
Project review support
Delivery is split across your review calendar so review one has a design and plan, review two has working modules, and the final review has the integrated, tested system.
Demo support
A rehearsed demo path, seeded sample data, a reset script, and a recorded walkthrough kept as a backup in case something fails in the review room.
Viva preparation
A written question bank for this domain, a code walkthrough session, and practice at explaining each module in your own words — because the examiner will ask you.
Customisation options
Colleges reject duplicate topics, so most projects are adjusted before we start. These are the usual directions for this one.
- Add blue-green or canary deployment strategies
- Add Terraform so infrastructure is provisioned as code
- Add load testing as a pipeline stage with a performance budget
- Add GitOps with ArgoCD syncing from the repository
Related projects
DevOps Monitoring and Alerting Dashboard
A Prometheus and Grafana observability stack with custom application metrics, alert rules and incident history.
Serverless Image Processing Pipeline
An event-driven cloud pipeline where an upload triggers functions that resize, watermark and catalogue images automatically.
Cloud-Based File Storage System
A personal cloud drive built on object storage with deduplication, versioning and signed sharing links.
Enquire about the CI/CD Pipeline for Microservices project
Send your branch, college and first review date. You will get confirmation of scope, what the customisation would look like, and a delivery plan mapped to your reviews.