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Course Overview
Discover how to modernize, manage, and observe applications at scale using Google Kubernetes Engine Enterprise. This course uses lectures and hands-on labs to help you explore and deploy using Google Kubernetes Engine (GKE), GKE Fleets, Cloud Service Mesh, and Config Controller capabilities that will enable you to work with modern applications, even when they are split among multiple clusters hosted by multiple providers.
Who Should Attend
Google Cloud Practitioners
Course Objectives
- Describe the components and architecture of GKE Enterprise
- Identify and describe the core components of a GKE Enterprise fleet.
- Describe how fleets discover and communicate with each other in GKE Enterprise.
- Detail the benefits of using Service Mesh and use it to implement advanced routing and traffic management.
- Secure traffic between microservices using Cloud Service Mesh.
- Create multi-cluster networking architectures with Cloud Service Mesh.
- Use authentication to effectively manage identity in GKE Enterprise.
- Evaluate and apply various security measures to effectively protect and manage GKE deployments.
- Evaluate options and Google Cloud products that allow you to create scalable CI/CD implementations within a GKE Enterprise environment.
- Explore how GKE facilitates the deployment and optimization of gen AI models.
Course Outline
- Introduction to GKE Enterprise
- GKE Enterprise Architecture
- Fleets and Teams
- Managing GKE Configuration at Scale
- Fleet Networking
- Cloud Service Mesh
- Cloud Service Mesh Routing
- Service Mesh Security
- Multi-Cluster Networking with Cloud Service Mesh
- Managing Identity for GKE Enterprise Using GKE Identity Service
- Security Posture, Compliance, and Preventive Controls
- CI/CD at Scale in GKE
- Generative AI for GKE Enterprise