Architecting with Google Kubernetes Engine Training in United States of America

This Architecting with Google Kubernetes Engine Training in United States of America 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.

By the end of this Architecting with Google Kubernetes Engine Training in United States of America, you will have gained knowledge and skills in the following areas:

• 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