3 days EN / DE Max 16

Manage Scalable Workloads in GKE Enterprise

Discover how to modernize, manage, and observe applications at scale using Google Kubernetes Engine. 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.

€1.900,00 excl. VAT

Individual scheduling

The courses are held as dedicated group sessions. Once you've booked, we'll coordinate a date that works for your team and send invitations to all participants.

Prerequisites

  • Having completed Google Cloud Platform Fundamentals: Core Infrastructure or having equivalent experience.
  • Having completed Architecting with GKE or having equivalent experience.

What you'll learn

  • Describe the challenges of designing a multi-cluster infrastructure.
  • Describe the components and architecture of GKE fleets.
  • Identify and describe the core components of a GKE fleet.
  • Create, connect, and manage GKE clusters from multiple deployment environments.
  • Describe how fleets discover and communicate with each other in GKE.
  • Detail the benefits of using Service Mesh.
  • Use Service Mesh 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 at scale.
  • 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 multi-cluster GKE environment.
  • Explore how GKE facilitates the deployment and optimization of AI models.

Course modules
Multi-cluster overview GKE fleets Sameness and trust GKE fleet management
Centralized cluster management Multi-cluster GKE Connect and manage fleet clusters Access GKE fleet clusters
GKE fleets Example fleet solutions Fleet team management Fleet management
Configuration management challenges Centralized configuration management at scale Config Sync Policy controller Config Connector Blueprints
Fleet networking communications Pod discovery in GKE Multi-cluster Services Configuring multi-cluster Services Multi-cluster gateway Configuring multi-cluster gateways
Introducing Cloud Service Mesh Provisioning Cloud Service Mesh Handling requests Monitoring and supporting Cloud Service Mesh
Configuring Cloud Service Mesh with Istio API resources Configuring VirtualService and DestinationRule Configuring ServiceEntry Configuring a Gateway Configuring a WorkloadEntry and WorkloadGroup Network resilience and testing
Authentication and encryption Service authentication in the mesh End-user authentication in Cloud Service Mesh Authorization in Cloud Service Mesh
Single network east-west routing Multiple network east-west routing
Introduction to GKE Identity Service Connect gateway overview Configuring connect gateway for authentication and authorization Accessing clusters with GKE Identity Service Authenticating third-party identities with GKE Identity Service Fleet Workload Identity
GKE security posture overview Security posture dashboard Implementing node security Vulnerability scanning Additional security services
CI/CD in Google Cloud Cloud Build and GKE Cloud Deploy and GKE Cloud Deploy: Policies, deployments, and security Cloud Run and Knative serving Cloud Deploy and Knative serving CI/CD in a private network Software supply chain security
AI and GKE overview AI model training on GKE AI model serving on GKE AI cost management on GKE
Manage Scalable Workloads in GKE Enterprise