Learn How to Architect Solutions with Google Kubernetes Engine

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Architecting with Google Kubernetes Engine Course Overview


The Architecting with Google Kubernetes Engine course is a comprehensive guide for learning how to build and deploy applications to the Google Cloud Platform using Kubernetes Engine. This course covers the fundamentals of using Kubernetes to build and manage modern cloud native applications on the Google Cloud Platform. It takes you through the basics of Kubernetes from its origin to its use in Google Cloud and then deep dives into its features such as service discovery, storage integration, deployment strategies, and more. It also touches on advanced topics such as Continuous Integration, Continuous Delivery and controlling resource usage in the cluster. Additionally, this course teaches students how to configure multiple layouts and customize deployments. This course will enable you to deploy, manage, and scale applications on a managed container orchestration platform. With this knowledge, professionals can understand complex Google Cloud component relationships and build solid foundations in cloud technologies.

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

Architecting with Google Kubernetes Engine
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The 1-on-1 Advantage

Get 1-on-1 session with our expert trainers at a date & time of your convenience.
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Flexible Dates

Start your session at a date of your choice-weekend & evening slots included, and reschedule if necessary.
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4-Hour Sessions

Training never been so convenient- attend training sessions 4-hour long for easy learning.
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Destination Training

Attend trainings at some of the most loved cities such as Dubai, London, Delhi(India), Goa, Singapore, New York and Sydney.

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) 1200 + If you accept merging of other students. Per Participant & excluding VAT/GST
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)
Group Training
Date On Request
Architecting with Google Kubernetes Engine
Course Prerequisites

There are no specific prerequisites for Architecting with Google Kubernetes Engine Training. However, basic knowledge of Linux administration and familiarity with the command line interface is helpful. Additionally, knowledge of IT principles such as distributed computing and container technology will be beneficial.

Target Audience


The primary target audience for the Architecting with Google Kubernetes Engine training are systems engineers, site reliability engineers, software engineers, and cloud system administrators who are responsible for design, deployment, and management of Cloud infrastructure
In addition to these technologiesubject matter experts, the secondary target audience can also include developers, DevOps engineers, technical architects, and technology managers who are looking to have a deeper understanding of how to work with Kubernetes, Google Cloud Platform, and other associated technologies
Attendees should have experience working with the Linux operating system, some familiarity with the command line, and basic understanding of cloud computing concepts and principles

Learning Objectives of Architecting with Google Kubernetes Engine


1. Understand the fundamentals of Kubernetes and its basic architecture.
2. Learn about deploying and managing applications with Kubernetes.
3. Research ways to optimize your Kubernetes cluster for optimum performance.
4. Explore best practices for deploying and managing applications on Google Kubernetes Engine.
5. Learn about troubleshooting Kubernetes clusters and applications.
6. Understand how to upgrade your Kubernetes clusters for feature updates and security.
7. Become familiar with the features and services of GKE.
8. Learn about deploying and coding applications and services onto the GKE environment.
9. Understand how to secure and monitor applications within the Google Kubernetes cluster.
10. Explore methods for scaling applications with GKE.

FAQ's

1-on-1 Public - Select your start date. Other students can be merged.
1-on-1 Private - Select your start date. You will be the only student in the class.
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