Architecting with Google Kubernetes Engine Training in Singapore

This course teaches you how to deploy, manage, and secure containerized applications on Google Kubernetes Engine (GKE). Through lectures, demos, and hands-on labs, you’ll explore Kubernetes components such as pods, deployments, services, networking, and storage, while learning how to apply real-world solutions.

Completion of “Getting Started with Google Kubernetes Engine” or equivalent hands-on experience.

• Create and manage workloads in GKE

• Explain pod networking and service communication

• Use Kubernetes storage abstractions (volumes, StatefulSets, ConfigMaps, Secrets)

• Secure clusters with IAM, RBAC, and Pod Security Standards

• Configure monitoring and logging with Cloud Observability

• Integrate managed storage services (Cloud Storage, Cloud SQL) with GKE

• Design and implement CI/CD pipelines on GKE

Module 1: Workloads – Deployments & Jobs

• Creating, inspecting, and updating deployments

• Using Jobs and CronJobs for scheduled tasks

• Scaling clusters manually and automatically

• Pod scheduling with affinity, taints, and tolerations

Module 2: GKE Networking

• Pod networking fundamentals

• Kubernetes Services & load balancers

• Ingress and container-native load balancing

• Network policies

Module 3: Persistent Data & Storage

• Ephemeral vs persistent volumes

• Running StatefulSets

• Using ConfigMaps & Secrets for configuration

• Persistent storage integration in GKE

Module 4: Access Control & Security

• Authentication and authorization in Kubernetes

• RBAC & IAM integration

• Workload Identity for secure service access

• Pod security standards and admission

Module 5: Logging & Monitoring

• Cloud Logging & Cloud Monitoring

• Inspecting logs via kubectl

• Configuring GKE-native observability

Module 6: Google Cloud Managed Storage Services

• Using Cloud Storage with Kubernetes apps

• Managed database services overview

• Connecting to Cloud SQL using Auth Proxy

Module 7: CI/CD with GKE

• Understanding CI/CD principles

• CI/CD tools on Google Cloud

• Designing CI/CD pipelines for GKE

• Best practices

Module 8: Course Summary

• Review of objectives and key concepts

• Reinforcement of practical knowledge