Google Kubernetes Engine

Anu Phoghat

Principal Consultant

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Description

The Google Kubernetes Engine (GKE) course is designed to provide comprehensive training on effectively deploying, managing, and securing workloads on the Google Kubernetes Engine platform. GKE is a managed Kubernetes service that allows users to efficiently orchestrate containerized workloads, and this course aims to equip participants with the necessary skills to leverage GKE's features and capabilities to build a highly robust kubernetes platform on Google Cloud Platform for their workloads.

Course Topics:

GKE Deployment and Administration:

Introduction to GKE,its architecture and core components
GKE cluster creation and configuration
Managing and scaling GKE clusters
Monitoring and logging using Cloud Operation suite
Upgrades and maintenance of GKE cluster components

Networking for GKE Clusters:

Networking requirements for GKE
Configuring VPC-native clusters
Load balancing GKE traffic using Ingress and Services
GKE cluster Insolation using network policies and firewall rules

Managing Security Aspects:

Securing GKE clusters control plane and workload nodes
Controlling access to GKE cluster using authentication and authorization
Three states of data encryption in GKE

Planning, Deploying, and Managing Workloads on GKE:

Different types of workloads on GKE
Migrating workloads from other platforms to GKE
Using node taints and pod toleration to control workload deployment on GKE
Rolling updates and canary deployments on GKE

GKE Design Considerations:

High availability and fault tolerance on GKE
Multi-tenant GKLE clusters
Service Mesh on GKE
Best practices for GKE cluster design and management

Throughout the course, participants will gain hands-on experience through practical exercises and real-world scenarios. By the end of the course, attendees will have the skills and knowledge necessary to successfully deploy, administer, secure, and optimize workloads on GKE, enabling them to effectively leverage the power of containerization and Kubernetes orchestration in a Google Cloud environment.

Prerequisites:

Familiarity with Kubernetes concepts and architecture
Basic understanding of cloud computing and Google Cloud Platform (GCP)
Proficiency in using the command line interface (CLI) and working with Linux-based systems

Target Audience:

DevOps engineers and administrators
Cloud architects and infrastructure professionals
Software developers and system integrators
IT professionals seeking to enhance their skills in containerization and Kubernetes

What our students say

Anu Phoghat is a Principal Consultant specializing in Google Cloud Platform (GCP) with a strong focus on professional development. With over 15 years of experience, he has acheived numerous professional-level certifications in leading cloud and container orchestration platforms. Coming from storage and virtualisation background during his tenure at EMC as Enterprise Solutions Architect, Anu has gained extensive experience in digital modernisation, platform engineering and is currently working at Cognizant as an Associate Director. His primary area of expertise lies in architecting and implementing solutions across different technology stacks in Cloud Platforms. He has worked on numerous client engagements, delivering tailored and cutting-edge solutions specific to Google Cloud.

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