Description

Istio is one of the most talked-about frameworks in recent years! If you’ve worked with Kubernetes before, then you’ll want to learn Istio! With this hands-on, practical course, you’ll be able to gain experience in running your own Istio Service Meshes.

Note: the course was last refreshed for Istio version 1.5 – but in late November they’ve released version 1.8. I’ll release the updated videos within the next few days, but the impact on the course will be minimal.

This course is designed to be clear and understandable – and fun! But we also go into detail – you’ll be learning how to use Istio in real production scenarios – and you’ll be looking at the inner workings of Istio.

You can run this course on your own computer, using Minikube (8Gb of Host Ram required) – you don’t need a cloud provider, although you can also run the course there – anywhere that you can run Kubernetes!

After a brief talk about what Istio is, we go straight into a hands-on demo, where you’ll experience how Istio can solve difficult problems on live projects.

Then you’ll find out the details of:

   Traffic Management
   Telemetry
   Visualisation (with Kiali)
   Distributed Tracing (with Jaeger)
   Using Grafana to monitor network traffic
   How to deploy canary releases
   How to do “Dark Releases”
   Istio VirtualServices and DestinationRules
   Load Balancing and Session Affinity
   Istio Gateways
   Resilience testing with Fault Injection
   Circuit Breaking/Outlier Detection
   Securing cluster traffic with Mutual TLS (mTLS)

The “learning curve” for Istio is steep – which is why I’ve designed this course to be as clear and understandable as possible, and I hope with the hands-on demos, you’ll also have fun along the way. But most of all, Istio is an extremely powerful tool, and it’s a great addition to your CV!
Who this course is for:

   Any Kubernetes developer who wants to learn what Istio can do for them
   Anyone who has tried to understand Istio but finds the standard documentation too confusing

Requirements

   Understand standard Kubernetes
   Be familiar with pods, deployments and services from Kubernetes
   Be able to run a Kubernetes environment such as Minikube
   If using Minikube, 4gb is required and therefore an 8gb host machine (laptop/desktop) is required

Last Updated 5/2020