GitHub Actions
Continuous Integration with GitHub Actions
Project Status Meeting 3
In this lesson, you’ll get a comprehensive update on our project’s health and next steps. We’ll cover:
- Recent optimizations in our CI/CD pipeline
- Performance gains after refactoring container responsibilities
- Preparation for deployment and an introduction to Kubernetes fundamentals
1. Recap of Recent Improvements
By isolating job containers (e.g., background workers) from service containers (e.g., web servers), we dramatically reduced database contention and improved overall throughput. Key metrics:
| Metric | Before Refactoring | After Refactoring |
|---|---|---|
| Average Job Completion | 45 seconds | 15 seconds |
| Database CPU Utilization | 85% | 50% |
Best Practice
Separating container responsibilities lets you scale each component independently, reduces resource contention, and improves fault isolation.
2. Preparing for Deployment
Alice and her team are finalizing the deployment checklist. Essential items include:
- Specifying container images with version tags
- Managing environment variables and secrets
- Validating service discovery and network policies
3. Kubernetes Fundamentals
Let’s explore the core Kubernetes resources you’ll use:
| Resource Type | Purpose | Example CLI Command |
|---|---|---|
| Pod | Smallest deployable unit | kubectl run nginx --image=nginx |
| Deployment | Manages replicated Pods | kubectl create deployment webapp --image=myapp:1.0 |
| Service | Provides stable network endpoint | kubectl expose deployment webapp --port=80 |
Prerequisites
Ensure kubectl is installed and pointed at a cluster. New to Kubernetes? Start with Kubernetes Basics.
4. What’s Next?
- Review and customize our deployment manifest templates
- Set up namespaces and RBAC policies
- Deploy your first application to the cluster
Let’s get started!
Links and References
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Practice Lab
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