GCPANTH - Architecting Hybrid Cloud Infrastructure with Anthos

Overview

Duration: 2.0 days

Discover how to modernize, manage, and observe applications using Kubernetes—whether the application is deployed on-premises or on Google Cloud. This certification & training course uses lectures and hands-on labs to help you explore and deploy using Kubernetes Engine (GKE), GKE Connect, Istio service mesh, and Anthos Config Management capabilities that will enable you to work with modern applications, even when they are split among multiple clusters hosted by multiple providers, or on-premises. This is a continuation of Architecting with GKE, and you'll need hands-on experience with the technologies covered in that course in order to benefit from this course.

Objectives

• Deploy Istio service mesh control-plane and proxies using the Helm Kubernetes package manager or using the Istio on GKE add-on.
• Centrally observe, discover, and monitor your microservices-based applications across clusters using Istio service mesh adapters, including Prometheus, Grafana, or Kiali, or Stackdriver.
• Define and manage multi-cluster services, with ingress, using open-source Istio via shared and multi-control plane topologies.
• Connect and manage on-premises clusters, and workloads using GKE On-Prem.
• Enable consistent policy enforcement across multi-cluster environments using a configuration-as-code approach and your secure Git repository.

Content

The course includes presentations and hands-on labs.

Module 1: Anthos Overview

• Describe challenges of hybrid cloud
• Discuss modern solutions
• Describe the Anthos Technology Stack

Module 2: Managing Hybrid Clusters using Kubernetes Engine

• Understand Anthos GKE hybrid environments, with Admin and User clusters
• Register and authenticate remote Anthos GKE clusters in GKE Hub
• View and manage registered clusters, in cloud and on-premises, using GKE Hub
• View workloads in all clusters from GKE Hub
• Lab: Managing Hybrid Clusters using Kubernetes Engine

Module 3: Introduction to Service Mesh

• Understand service mesh, and problems it solves
• Understand Istio architecture and components
• Explain Istio on GKE add on and it's lifecycle, vs OSS Istio
• Understand request network traffic flow in a service mesh
• Create a GKE cluster, with a service mesh
• Configure a multi-service application with service mesh
• Enable external access using an ingress gateway
• Explain the multi-service example applications: Hipster Shop, and Bookinfo
• Lab: Installing Open Source Istio on Kubernetes Engine
• Lab: Installing the Istio on GKE Add-On with Kubernetes Engine

Module 4: Observing Services using Service Mesh Adapters

• Understand service mesh flexible adapter model
• Understand service mesh telemetry processing
• Explain Stackdriver configurations for logging and monitoring
• Compare telemetry defaults for cloud and on-premises environments
• Configure and view custom metrics using service mesh
• View cluster and service metrics with pre-configured dashboards
• Trace microservice calls with timing data using service mesh adapters
• Visualize and discover service attributes with service mesh
• Lab: Telemetry and Observability with Istio

Module 5: Managing Traffic Routing with Service Mesh

• Understand the service mesh abstract model for traffic management
• Understand service mesh service discovery and load balancing
• Review and compare traffic management use cases and configurations
• Understand ingress configuration using service mesh
• Visualize traffic routing with live generated requests
• Configure a service mesh gateway to allow access to services from outside the mesh
• Apply virtual services and destination rules for version-specific routing
• Route traffic based on application-layer configuration
• Shift traffic from one service version to another, with fine-grained control, like a canary deployment
• Lab: Managing Traffic Routing with Istio and Envoy

Module 6: Managing Policies and Security with Service Mesh

• Understand authentication and authorization in service mesh
• Explain mTLS flow for service to service communication
• Adopt mutual TLS authentication across the service mesh incrementally
• Enable end-user authentication for the frontend service
• Use service mesh access control policies to secure access to the frontend service
• Lab: Managing Policies and Security with Service Mesh

Module 7: Managing Policies using Anthos Config Management

• Understand the challenge of managing resources across multiple clusters
• Understand how a Git repository is as a configuration source of truth
• Explain the Anthos Config Management components, and object lifecycle
• Install and configure Anthos Config Management, operators, tools, and related Git repository
• Verify cluster configuration compliance and drift management
• Update workload configuration using repo changes
• Lab: Managing Policies in Kubernetes Engine using Anthos Config

Module 8: Configuring Anthos GKE for Multi-Cluster Operation

• Understand how multiple clusters work together using DNS, root CA, and service discovery
• Explain service mesh control-plane architectures for multi-cluster
• Configure a multi-service application using service mesh across multiple clusters with multiple control-planes
• Configure a multi-service application using service mesh across multiple clusters with a shared control-plane
• Configure service naming/discovery between clusters
• Review ServiceEntries for cross-cluster service discovery
• Migrate workload from a remote cluster to an Anthos GKE cluster
• Lab: Configuring GKE for Multi-Cluster Operation with Istio
• Lab: Configuring GKE for Shared Control Plane Multi-Cluster Operation

Audience

This class is primarily intended for the following participants:

• Technical employees using GCP, including customer companies, partners and system integrators: deployment engineers, cloud architects, cloud administrators, system engineers , and SysOps/DevOps engineers.
• Individuals using GCP to create, integrate, or modernize solutions using secure, scalable microservices architectures in hybrid environments.

Prerequisites

• Completed Google Cloud Platform Fundamentals: Core Infrastructure or have equivalent experience, and
• Completed Architecting with GKE or have equivalent experience

Certification

This course is not associated with any certification.