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Google Cloud

Architecting with Google Kubernetes Engine (GKE)

Deploy and manage containerised applications on GKE.

2 daysAdvanced7 modules
Overview

About this course

Deploy and manage containerised applications on GKE. You will learn Kubernetes architecture, deploy and scale workloads, secure and control access, use persistent storage and managed services, and monitor clusters.

Curriculum

Curriculum

7 modules
  • Overview of Google Cloud Platform architecture
  • Positioning Kubernetes in the context of cloud-native development
  • Introduction to software containers, pods, and cluster components
  • GKE control plane architecture and networking
  • How to create and manage GKE clusters
  • Creating deployments and ReplicaSets
  • Using kubectl, YAML, and gcloud for automation
  • Configuring load balancing and scaling workloads
  • Implementing IAM and access control
  • Securing workloads with RBAC, Secrets, and ConfigMaps
  • Hardening clusters with security best practices
  • Working with persistent storage and StatefulSets
  • Using managed storage in Google Cloud
  • Connecting to services that interact with GKE deployments
  • Resource monitoring with Cloud Monitoring and Logging
  • Observability for application environments and system health
  • CI/CD with Cloud Build, Artifact Registry, and deployment automation
  • Lab: End-to-end deployment of a containerized app on GKE
  • Recap of key skills and course materials
Who it's for

Who it's for

Cloud engineers and developers working with Kubernetes.

Before you start

  • Completed “Google Cloud Fundamentals: Core Infrastructure” or have equivalent experience

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