Description

Duration

3 Days

18 CPD hours

This course is intended for

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.

Overview

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

This class introduces participants to deploying and managing containerized applications on Google Kubernetes Engine (GKE) and the other services provided by Google Cloud Platform. 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.

Introduction to Google Cloud Platform

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

Containers and Kubernetes in GCP

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 GCP compute platforms

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

Kubernetes Operations

Work with the kubectl command

Inspect the cluster and Pods

View a Pods console output

Deployments, Jobs, and Scaling

Create and use Deployments

Create and run Jobs and CronJobs

Scale clusters manually and automatically

Configure Node and Pod affinity

Get software into your cluster with Helm charts and Kubernetes Marketplace

GKE Networking

Create Services to expose applications that are running within Pods

Use load balancers to expose Services to external clients

Create Ingress resources for HTTP(S) load balancing

Leverage container-native load balancing to improve Pod load balancing

Define Kubernetes network policies to allow and block traffic to pods

Persistent Data and Storage

Use Secrets to isolate security credentials

Use ConfigMaps to isolate configuration artifacts

Push out and roll back updates to Secrets and ConfigMaps

Configure Persistent Storage Volumes for Kubernetes Pods

Use StatefulSets to ensure that claims on persistent storage volumes persist across restarts

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 cluster role bindings for accessing cluster-scoped resources

Define Kubernetes pod security policies

Understand the structure of GCP IAM

Define IAM roles and policies for Kubernetes Engine cluster administration

Logging and Monitoring

Use Stackdriver to monitor and manage availability and performance

Locate and inspect Kubernetes logs

Create probes for wellness checks on live applications

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 GCP storage services

Understand use cases for Cloud Storage, Cloud SQL, Cloud Spanner, Cloud Bigtable, Cloud Firestore, and Bigquery from within a Kubernetes application

Course Images

Architecting with Google Kubernetes Engine

By Nexus Human

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