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Aug 2

Architecting with Google Kubernetes Engine

August 2 @ 9:00 AM - August 4 @ 5:00 PM AEST

$2,550.00

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Architecting with Google Kubernetes Engine

This instructor led live training teaches you how to deploy and manage containerized applications on Google Kubernetes Engine (GKE). Learn how to use other tools on Google Cloud that interact with GKE deployments. This course features a combination of lectures, demos, and hands-on labs to help you explore and deploy solution elements—including infrastructure components like pods, containers, deployments, and services—along with networks and application services. You’ll also learn how to deploy practical solutions, including security and access management, resource management, and resource monitoring.

What you Will learn

What's Included?

Instructor Live Training

An instructor will answer your questions

OFFICIAL GOOGLE CLOUD CONTENT

Course content reflects the latest google cloud class

hands on labs

Real world hands on labs provided by Qwiklabs and supported by instructor

CertIficate of completion

Receive official certificate on completion of 80% of labs

Who's this course for?

Level

Language

Duration

Prerequisites

Course Content

Topics

  • 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

Objectives

  • Identify Google Cloud services and their function.
  • Choose the right Google Cloud services to create your own Cloud solution

Activities

  • 1 lab and 1 quiz

Topics

  • 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

Objectives

  • Create a Container using Cloud Build.
  • Store a Container in Container Registry.
  • Compare and Contrast Kubernetes and GKE features.

Activities

  • 1 lab and 1 quiz

Topics

  • 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

Objectives

  • Conceptualize the Kubernetes Architecture.
  • Deploy a Kubernetes Cluster using GKE.
  • Deploy Pods to a GKE Cluster.
  • View and Manage Kubernetes Objects.
  • Conceptualize the Migrate for Anthos process

Activities

  • 1 lab and 1 quiz

Topics

  • The Kubectl Command

Objectives

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

Activities

  • 2 labs and 1 quiz

Topics

  • 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

Objectives

  • 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.

Activities

  • 3 labs and 1 quiz

Topics

  • Introduction
  • Pod Networking
  • Services
  • Finding Services
  • Service Types and Load Balancers
  • How Load Balancers Work
  • Ingress Resource
  • Container-Native Load Balancing
  • Network Security

Objectives

  • 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.

Activities

  • 2 labs and 1 quiz

Topics

  • Volumes
  • Volume Types
  • The PersistentVolume Abstraction
  • More on PersistentVolumes
  • StatefulSets
  • ConfigMaps
  • Secrets

Objectives

  • 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.

Activities

  • 2 labs and 1 quiz

Topics

  • 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

Objectives

  • Define IAM roles and policies for GKE.
  • Define Kubernetes RBAC roles and role bindings.
  • Define Kubernetes pod security policies.

Activities

  • 2 labs and 1 quiz

Topics

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

Objectives

  • Create forensic logs for systems monitoring.
  • Monitor your system performance from different vantage points.
  • Create probes for wellness checks on live applications.

Activities

  • 2 labs and 1 quiz

Topics

  • 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

Objectives

  • Understand use cases for Cloud Storage within a Kubernetes application.
  • Understand use cases for Cloud SQL and Cloud Spanner within a Kubernetes application.
  • Understand use cases for Datastore within a Kubernetes application
  • Understand use cases for Cloud Bigtable within a Kubernetes application.

Activities

  • 1 lab and 1 quiz

Topics

  • 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.

Objectives

  • Create a continuous delivery pipeline using Cloud Build and start it manually or
    automatically with a code change.
  • Implement a canary deployment that hosts two versions of your application in
    production for release testing.

Activities

  • 1 lab

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Ref: T-AK8S-I-01

Location

Online

Instructor

Axalon Academy
Email:
training@axalon.io
View Instructor Website

Other

Competencies
Intermediate
Learning Path
Hybrid MultiCloud Architect, Hybrid Cloud Architect