Architecting with Google Kubernetes Engine (AGKE)

Course Overview

Module 1: Introduction to Google Cloud 

• Use the Google Cloud Platform Console
• Use Cloud Shell
• Define cloud computing
• Identify GCPs compute services
• Understand regions and zones
• Understand the cloud resource hierarchy
• Administer your GCP resources
• 1 lab and 1 quiz

Module 2: Containers and Kubernetes in Google Cloud

• Create a container using Cloud Build
• Store a container in Container Registry
• Understand the relationship between Kubernetes and Google Kubernetes Engine (GKE)
• Understand how to choose among Google Cloud Compute Platforms
• 1 lab and 1 quiz

Module 3: Kubernetes Architecture

• Understand the architecture of Kubernetes: pods, namespaces
• Understand the control-plane components of Kubernetes
• Create container images using Google Cloud Build
• Store container images in Google Container Registry
• Create a Kubernetes Engine cluster
• 1 lab and 1 quiz

Module 4: Kubernetes Operations

• The Kubectl command
• Work with Kubectl Command
• Inspect the cluster and Pods
• View a Pods console output
• Sign in to a Pod interactively
• 2 labs and 1 quiz

Module 5: Deployments, Jobs, and Scaling

• Deployments
• Ways to Create Deployments
• Services and Scaling
• Updating Deployments
• Rolling Updates
• Blue/Green Deployments
• Canary Deployments
• Managing Deployments
• Jobs and CronJobs
• Parallel Jobs
• CronJobs
• Cluster Scaling
• Downscaling
• Node Pools
• Controlling Pod Placement
• Affinity and Anti-Affinity
• Pod Placement Example
• Taints and Tolerations
• Getting Software into your Cluster
• 3 labs and 1 quiz

Module 6: GKE Networking

• C
• ntroduction
• Pod Networking
• Services
• Finding Services
• Service Types and Load Balancers
• How Load Balancers Work
• Ingress Resource
• Container-Native Load Balancing
• Network Security
• 2 labs and 1 quiz

Module 7: Persistent Data and Storage

• Volumes
• Volume Types
• The PersistentVolume Abstraction
• More on PersistentVolumes
• StatefulSets
• ConfigMaps
• Secrets
• 2 labs and 1 quiz

Module 8: Access Control and Security in Kubernetes and Kubernetes Engine

• Understand Kubernetes Authentication and Authorization
• Define Kubernetes RBAC Roles and Role Bindings for Accessing Resources in Namespaces
• Define Kubernetes RBAC Cluster Roles and ClusterRole Bindings for
• Accessing Cluster-scoped Resources
• Define Kubernetes Pod Security Policies
• Understand the Structure of IAM
• Define IAM roles and Policies for Kubernetes Engine Cluster Administration
• 2 labs and 1 quiz

Module 9: Logging and Monitoring

• Use Cloud Monitoring to monitor and manage availability and performance
• Locate and inspect Kubernetes logs
• Create probes for wellness checks on live applications
• 2 labs and 1 quiz

Module 10: Using GCP Managed Storage Services from Kubernetes Applications

• Understand Pros and Cons for Using a Managed Storage Service Versus Self-managed Containerized Storage
• Enable Applications Running in GKE to Access Google Cloud Storage Services
• Understand Use Cases for Cloud Storage, Cloud SQL, Cloud Spanner, Cloud Bigtable, Cloud Firestore, and BigQuery from within a Kubernetes Application
• 1 lab and 1 quiz

Module 11 - Logging and Monitoring

• CI/CD overview
• CI/CD for Google Kubernetes Engine
• CI/CD Examples
• Manage application code in a source repository that can trigger code changes to a continuous delivery pipeline.
• 1 lab

Prerequisites

To get the most out of this course, participants should have completed Google Cloud Fundamentals: Core Infrastructure (GCF-CI) or have equivalent experience.

Basic proficiency with command-line tools and Linux operating system environments.