Architecting with Google Kubernetes Engine Course Overview

Enroll for 3-day Architecting with Google Kubernetes Engine course from Koenig Solutions. In this course you will learn to deploying and managing containerized applications on Google Kubernetes Engine (GKE) and other services provided by Google Cloud.

Through a blend of hands-on labs and interactive lectures, you will learn to 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.

Target Audience:

  • 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.

Learning Objectives:

  • 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.

 

 

This is a Rare Course and it can be take up to 3 weeks to arrange the training.

You will learn:

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
  • 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
  • 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
  • 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.
  • 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
  • Introduction
  • Pod Networking
  • Services
  • Finding Services
  • Service Types and Load Balancers
  • How Load Balancers Work
  • Ingress Resource
  • Container-Native Load Balancing
  • Network Security
  • Volumes
  • Volume Types
  • The PersistentVolume Abstraction
  • More on PersistentVolume
  • StatefulSets
  • ConfigMaps
  • Secrets
  • 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
  • Use Cloud Monitoring to monitor and manage availability and performance
  • Locate and inspect Kubernetes logs
  • Create probes for wellness checks on live 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
  • 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.
Live Online Training (Duration : 24 Hours) Fee On Request
Group Training
Online
15 - 17 Aug GTR 09:00 AM - 05:00 PM CST
(8 Hours/Day)
05 - 07 Sep GTR 09:00 AM - 05:00 PM CST
(8 Hours/Day)
03 - 05 Oct GTR 09:00 AM - 05:00 PM CST
(8 Hours/Day)
We Offer :
  • 1-on-1 Public - Select your own start date. Other students can be merged.
  • 1-on-1 Private - Select your own start date. You will be the only student in the class.
4 Hours
8 Hours
Week Days
Weekend

Start Time : At any time

12 AM
12 PM

1-On-1 Training is Guaranteed to Run (GTR)
Physical Classroom Training with 4 hours /8 hours option is available. Enquire Now!
Ultra-Fast Track

If you can't spare 24 hours. We can offer you an Ultra-Fast Track for 12 hours
Enquire Now!

Course Prerequisites
  • To get the most out of this course, participants should have: Completed Google Cloud Platform Fundamentals: Core Infrastructure or have equivalent experience Basic proficiency with command-line tools and Linux operating system environments.

 

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