Instructor: Anu Phoghat
I’m Anu Phoghat—a seasoned IT professional with multiple Google Cloud certifications, including Kubernetes—and your guide for this journey. I regularly share real-world insights through blog posts, conference talks, and community meetups. By the end of this course, you’ll be able to:- Design a robust GKE cluster architecture
- Deploy and scale containerized applications
- Implement autoscaling, node auto-provisioning, and seamless upgrades
- Secure cluster components and network traffic
- Optimize performance and cost in production environments
This course assumes you have basic familiarity with containers and
kubectl. If you’re new to Kubernetes, review the Kubernetes Basics before proceeding.Who Should Enroll
This course is ideal for:- Developers building cloud-native applications
- DevOps engineers automating deployment pipelines
- System administrators managing infrastructure
- Cloud architects designing scalable platforms
GKE clusters incur ongoing resource costs. Always tear down lab environments when not in use to avoid unexpected charges.
Course Outline
| Section | Topic |
|---|---|
| 1 | GKE Architecture & Components |
| 2 | GKE Operational Modes (Autopilot vs. Standard) |
| 3 | Cluster Autoscaling & Node Auto-Provisioning |
| 4 | Cluster Upgrade Strategies |
| 5 | Networking Fundamentals in GKE |
| 6 | Security Best Practices for GKE |
| 7 | Monitoring, Logging & Cost Optimization |
| 8 | Next Steps: Advanced Features & Certifications |
Learning Approach
KodeKloud’s “learn-by-doing” methodology ensures you master GKE through:- Detailed Diagrams & Animations that clarify core concepts
- Hands-On Labs in isolated playground environments
- Demo Videos walking you through each exercise
- Community Forums for Q&A with peers and experts