CI/CD Deployment with GitLab on GKE (Google Kubernetes Engine)
Why Choose This Project?
CI/CD (Continuous Integration and Continuous Deployment) is critical in modern DevOps practices. Combining GitLab CI/CD pipelines with Google Kubernetes Engine (GKE) offers a highly scalable, automated, and production-ready deployment workflow. This project teaches you how to set up an automated pipeline to build, test, and deploy containerized applications on Kubernetes.
Ideal for DevOps engineers, cloud architects, and developers looking to master container orchestration and CI/CD automation in a real-world cloud environment.
What You Get
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Automated GitLab CI/CD pipeline
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Dockerized application deployment on GKE
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Kubernetes manifests (YAML) for deployment
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GitOps-style delivery pipeline
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Scalable and secure cloud-native architecture
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Rollback and version control capabilities
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Monitoring and logs via GCP Stackdriver
Key Features
| Feature | Description |
|---|---|
| GitLab CI/CD Integration | Automated build, test, deploy steps using .gitlab-ci.yml |
| Docker Containerization | Containerize app using Docker and store in GitLab Registry |
| Kubernetes Deployment | Auto-deploy app to GKE cluster using kubectl |
| Environments & Rollbacks | Support for staging, production, and rollback |
| Helm Chart (Optional) | Use Helm for templated Kubernetes configurations |
| Secrets Management | Secure handling of API keys and credentials |
| Auto-scaling App on GKE | Horizontal pod autoscaling based on CPU/Memory |
| Monitoring & Logging | Integrated with Stackdriver for real-time metrics |
| GitOps Workflow | Push-based pipeline using GitLab triggers |
Technology Stack
| Layer | Technology Used |
|---|---|
| Version Control | Git + GitLab |
| CI/CD Pipeline | GitLab CI/CD |
| Containerization | Docker |
| Orchestration | Kubernetes (GKE) |
| Deployment | kubectl, Helm (optional) |
| App Hosting | Google Kubernetes Engine |
| Registry | GitLab Container Registry |
| Secrets | GCP Secret Manager / GitLab Variables |
| Monitoring | Google Cloud Monitoring (Stackdriver) |
Cloud Services Used
| Service | Purpose |
|---|---|
| Google Kubernetes Engine | Host and scale application pods |
| Google Cloud IAM | Role-based access control |
| Google Container Registry (optional) | Store Docker images |
| Google Cloud Logging | View logs for debugging |
| Google Cloud Monitoring | View metrics and dashboards |
| GitLab | Source code + CI/CD configuration |
| GitLab Runner | Run CI/CD pipeline jobs |
| GCP Secret Manager | Secure storage of credentials/API keys |
Working Flow
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Developer Pushes Code to GitLab Repo
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GitLab CI Pipeline Triggered:
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Lint/test code
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Build Docker image
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Push image to GitLab Container Registry
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Deploy to GKE:
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Use
kubectlor Helm from CI pipeline -
Deploy to staging or production environment
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Monitor via Stackdriver
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Monitor pod health, CPU, memory
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Auto-Rollback (if deployment fails)
Main Modules
| Module | Description |
|---|---|
| GitLab Repo | Contains app source code and .gitlab-ci.yml |
| CI/CD Config | Defines build/test/deploy stages |
| Dockerfile | Defines container build steps |
| Kubernetes YAML | Defines deployment, service, ingress |
| Helm Chart (Optional) | Templated Kubernetes resources |
| Secrets Config | Injects secure credentials into pods |
| Monitoring | Uses GCP’s built-in tools for logs/metrics |
Security Features
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Use GitLab environment variables to store secrets
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Configure RBAC in Kubernetes for fine-grained access
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Enable IAM roles in GCP to restrict permissions
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Use HTTPS Ingress with TLS
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Image vulnerability scanning in GitLab
Visualization Options
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CI/CD Pipeline Graph in GitLab
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GKE Dashboard: Pod logs, resource usage
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Cloud Monitoring Dashboards: Custom metrics
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Deployment History: View rollout history in GitLab or GKE
₹ 2599 /-
Project includes:
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Customization
Fully
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Security
High
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Performance
Fast
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Future Updates
Free
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Total Buyers
500+
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Support
Lifetime
Secure Payment:
