hands-on lab

Amazon EKS - Traffic Routing with Istio

Difficulty: Intermediate

Duration: Up to 2 hours

Students: 337

Rating: 5/5

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Description

Istio is an open source, multi-cloud service mesh, capable of performing intelligent traffic management. Istio's traffic routing rules let you easily control the flow of traffic and API calls to and from deployed cluster resources.

In this Lab scenario, you'll learn how to use Istio to perform traffic routing to a pair of sample web applications, V1 and V2, deployed into a Kubernetes cluster. You'll first setup a traffic routing policy to balance traffic evenly (50/50) across both versions. You'll test and confirm that the traffic is indeed evenly split before later updating the traffic routing policy to use a 80/20 split.

You'll also learn how to deploy and setup Kiali, a web application that allows you to manage, visualise, and troubleshoot Istio service mesh configurations.

Learning Objectives

Upon completion of this Lab, you will be able to:

Use Istio to perform traffic routing across a pair of versioned sample web applications
Configure and deploy the following Istio custom resources:
- Gateway - a load balancer which operates at the mesh edge - allows inbound external traffic into the service mesh
- VirtualService - a set of traffic routing rules to apply when a host is addressed
- DestinationRule - policies that are applied to traffic intended for a service after routing has occurred
Test, report, and validate the Istio service mesh based traffic routing using the curl command and your workstation's browser
Use Kiali to manage, visualise, and troubleshoot Istio service mesh configurations

Intended Audience

This lab is intended for:

Kubernetes practitioners
DevOps Engineers
SREs

Lab Prerequisites

You should be familiar with:

Basic Linux command line administration
Basic Kubernetes and Container-based concepts

Lab Environment

This Lab will start with the following AWS resources provisioned automatically for you:

1 x EKS cluster - Cluster-1 - provides a fully functional Kubernetes cluster
- 1 x NodeGroup
  - 2 x EC2 Worker Nodes
2 x EC2 instances
- eks.launch.instance - used to launch the EKS cluster
- cloudacademylabs - used to provide an SSH based terminal