Course 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 the 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 the 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 GKE clusters
- Service Mesh on GKE
- Best practices for GKE cluster design and management
Participants will gain hands-on experience through practical exercises and real-world scenarios throughout the course. 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
- Have taken fundamental courses from KodeKloud – if you have not taken take these courses first
- GCP Cloud Digital Leader Certification: This course will give you a basic understanding of GCP and some of the main services
- Kubernetes for the Absolute Beginners – Hands-on Tutorial: For a high-level overview of Kubernetes core concepts and architecture.
- DevOps Prerequisite Course: Learning basic skills required in a DevOps role
- Fundamentals of DevOps (Michael Forrester)
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
