Architecting with Google Kubernetes Engine (AGKE)

Prerequisites

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

Participants should also have basic proficiency with command-line tools and Linux operating system environments

Who Should Attend

This class is intended for the following participants:

• Cloud architects, administrators, and SysOps/DevOps personnel
• Individuals using Google Cloud Platform to create new solutions or to integrate existing systems, application environments, and infrastructure with the Google Cloud Platform.

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Module 1 - Introduction to Google Cloud

• Use the Google Cloud Console
• Use Cloud Shell
• Define Cloud Computing
• Identify Google Cloud Compute Services
• Understand Regions and Zones
• Understand the Cloud Resource Hierarchy
• Administer your Google Cloud 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 Cloud Build
• Store Container Images in Container Registry
• Create a Kubernetes Engine Cluster
• 1 lab and 1 quiz

Module 4 - Kubernetes Operations

• The Kubectl Command
• Work with the Kubectl Command.
• Inspect the Cluster and Pods.
• View a Pod’s Console Output.
• Sign in to a Pod Interactively.
• 2 labs and 1 quiz

Module 5 - Deployment, 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

• Introduction
• 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 Google Cloud 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