ARCHITECTING WITH GOOGLE KUBERNETES ENGINE
The Architecting with Google Kubernetes Engine course is designed for professionals who want to design, deploy, and manage production-grade Kubernetes solutions on Google Cloud Platform using Google Kubernetes Engine (GKE). This course goes beyond Kubernetes fundamentals and focuses on cluster architecture, scalability, reliability, security, networking, storage, and operational best practices. Participants will learn how to architect resilient, secure, and cost-effective container platforms that support enterprise workloads. Course Objectives By the end of this course, participants will be able to: Design scalable and highly available Kubernetes architectures on GKE Build and manage production-ready GKE clusters Implement advanced Kubernetes networking and storage solutions Secure clusters and workloads using best practices Implement observability, monitoring, and logging Automate deployments and cluster operations Optimize cost, performance, and reliability of Kubernetes platforms
Course Curriculum
1
- Kubernetes control plane and worker nodes
- Cluster components and interactions
- GKE architecture and shared responsibility
2
- Zonal vs regional clusters
- Node pools and cluster sizing
- Designing for high availability and resilience
3
- Pods, deployments, and StatefulSets
- Jobs and CronJobs
- Resource requests, limits, and quotas
- Scheduling and affinity rules
4
- Kubernetes Services and service types
- Ingress and load balancing
- Internal vs external traffic
- Network security and isolation
5
- Persistent Volumes and Persistent Volume Claims
- Storage classes and disk options
- Stateful application design
- Backup and recovery considerations
6
- Kubernetes RBAC
- IAM integration with GKE
- Workload Identity
- Securing container images and runtime
- Network policies
7
- Monitoring clusters and workloads
- Logging and metrics collection
- Debugging and troubleshooting
- Health checks and alerting
8
- Deployment strategies (rolling, blue/green, canary)
- CI/CD integration with Kubernetes
- Infrastructure as Code concepts
- Configuration management
9
- Horizontal and vertical pod autoscaling
- Cluster autoscaling
- Designing for fault tolerance
- Performance optimization strategies
10
- Cost drivers in Kubernetes
- Resource optimization techniques
- Namespace and quota management
- Governance best practices
11
- Multi-environment architectures
- Multi-cluster strategies
- Real-world enterprise design scenarios
12
- Kubernetes administrators and platform engineers
- DevOps and SRE professionals
- Cloud architects and solutions architects
- Developers working on container platforms
- IT professionals managing Kubernetes in production
13
- Getting Started with Google Kubernetes Engine or equivalent knowledge
- Hands-on experience with Kubernetes fundamentals
- Familiarity with Linux, containers, and cloud networking
14
- 3-4 days (Instructor-led)
- 24-32 hours of training
15
- Instructor-led deep-dive sessions
- Architecture diagrams and walkthroughs
- Hands-on labs and real-world scenarios
- Best-practice design discussions
16
- This course supports preparation for Google Cloud Professional Cloud Architect, Professional Cloud DevOps Engineer, and advanced Kubernetes-focused roles
17
- Comprehensive training materials
- Hands-on lab guides
- Architecture design examples
- Certificate of course completion
This course includes
- 17+ Activity Modules
- 40 hours + lessons
- Lifetime access
- Certificate of completion
- Available on desktop and mobile
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