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. Through the course, students will delve into the core concepts of Kubernetes, exploring its architecture, features, and the various components that constitute a Kubernetes cluster. They will gain hands-on experience in using Kubernetes resources and objects such as Pods, Deployments, and Services, and understand how to manage workloads and storage effectively. The course also covers essential topics like environment variables, handling sensitive data with ConfigMap and Secrets, and implementing security best practices. By mastering these skills, learners will be well-prepared to design, secure, and maintain Kubernetes clusters, setting them up for success in the field of cloud-native technologies.
Course Objectives:
In this course, you will learn to:
- Discuss the differences among Google Cloud compute platforms
- Discuss the components and architecture of Kubernetes
- Identify how Google manages Kubernetes orchestration
- Create and manage Google Kubernetes Engine clusters by using the Google Cloud console and the gcloud/kubectl commands
- Create and manage workloads in Google Kubernetes Engine
- Explain how pod networking works in Google Kubernetes Engine
- Define and work with different Kubernetes storage abstractions
- Describe and manage authentication, authorization, and security in Google Kubernetes Engine
- Monitor applications running in Google Kubernetes Engine
- Explore Google Cloud managed storage services options
- Configure CI/CD pipelines for Google Kubernetes Engine
Course content
Introduction to Google Cloud
- Cloud computing and Google Cloud
- Google Cloud compute offerings
- The Google network
- Resource management
- Billing
- Interacting with Google Cloud
- Lab: Accessing the Google Cloud console and Cloud Shell
Introduction to Containers and Kubernetes
- Introduction to containers
- Container images
- Working with Cloud Build
- Kubernetes
- Google Kubernetes Engine
- Lab: Working with Cloud Build
Kubernetes Architecture
- Kubernetes concepts
- The Kubernetes control plane
- Google Kubernetes Engine concepts
- Kubernetes object management
- Lab: Deploying GKE Autopilot clusters
Kubernetes Operations
- The kubectl command
- Introspection
- Lab: Deploying GKE Autopilot Clusters from Cloud Shell
Workloads: Deployments and Jobs
- Creating deployments
- Inspecting deployments
- Updating deployments
- Adopting other deployment strategies
- Using Jobs and Cronjobs
- Cluster scaling
- Controlling Pod placement with labels and affinity rules
- Controlling Pod placement with taints and tolerations
- Getting software into your cluster
Google Kubernetes Engine Networking
- Pod networking
- Kubernetes Services
- Service type and load balancers
- Ingress
- Container-native load balancing
- Network policies
Persistent Data and Storage
- Volumes
- Ephemeral volumes
- Durable volumes
- Statefulsets
- Configmaps
- Secrets
Access Control and Security in Kubernetes and Google Kubernetes Engine
- Explore Kubernetes authentication and authorization
- Define Kubernetes RBAC and how it works with IAM to secure GKE clusters
- Configure Workload Identity to access Google Cloud services from within GKE
- Secure GKE with Pod Security Standards and Pod Security Admission
- Implement Role-Based Access Control with GKE
Google Kubernetes Engine Logging and Monitoring
- Cloud Observability
- Cloud Logging
- Cloud Monitoring
- Inspecting logs with the kubectl command
- Inspecting logs with Cloud Logging and logging agents
Using Google Cloud Managed Storage Services with Google Kubernetes Engine
- Using Google Cloud services
- Using Cloud Storage
- Using Google Cloud databases
- Using Cloud SQL and SQL Auth Proxy
- Comparing storage options
Using CI/CD with Google Kubernetes Engine
- What is CI/CD?
- CI/CD pipeline construction
- CI/CD tools available in Google Cloud
- Best practices for using CI/CD on Google Cloud
To see the full course content Download now
Course Prerequisites
- Basic proficiency with command-line tools and Linux operating system environments
- Basic understanding of software development or system administration
- Fundamental knowledge of Google Cloud Associate concepts
- Basic awareness of web servers, networking, and internet-based applications
Who can attend
- Application Developers
- Cloud Solutions Architects
- DevOps engineers and IT managers
- Cloud architects and Infrastructure Professionals
- Individuals who use Google Cloud to create new solutions or integrate existing systems, application environments, and infrastructure
Number of Hours: 25hrs
Certification
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