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    Architecting with Google Kubernetes Engine (AGKE)

    Google Cloud
    This course introduces participants to deploying and managing containerized applications on Google Kubernetes Engine (GKE) and other services provided by Google Cloud. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as pods, containers, deployments, and services, as well as networks and application services. This course also covers deploying practical solutions, including security and access management, resource management, and resource monitoring.

    Architecting with Google Kubernetes Engine (AGKE) Objectives

    • This course teaches participants the following skills:
    • Understand how software containers work.
    • Understand the architecture of Kubernetes.
    • Understand the architecture of Google Cloud.
    • Understand how pod networking works in Google Kubernetes Engine.
    • Create and manage Kubernetes Engine clusters using the Google Cloud Console and gcloud/kubectl commands.
    • Launch
    • roll back
    • and expose jobs in Kubernetes.
    • Manage access control using Kubernetes RBAC and IAM.
    • Manage pod security policies and network policies.
    • Use Secrets and ConfigMaps to isolate security credentials and configuration artifacts.
    • Understand Google Cloud choices for managed storage services.
    • Monitor applications running in Google Kubernetes Engine.

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    Key Point of Training Programs

    • Architecting with Google Kubernetes Engine (AGKE) Prerequisites

      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.
      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

    • Architecting with Google Kubernetes Engine (AGKE) Course Format

      Live Virtual Course

    • Architecting with Google Kubernetes Engine (AGKE) Outline

      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