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Comprehensive container based service monitoring with Kubernetes and Istio

Overview

To get the most out of this tutorial, you should have access to an environment with the Go programming language installed, and the R statistical computing language installed. You should have Docker installed on your laptop, and install the Jupyter Notebook. You should also clone the Data Science for Effective Operations Jupyter Notebook.

You will want to have access to a Kubernetes environment also. Google Cloud Platform offers a free Kubernetes Engine trial that you can use for this tutorial.

The goals of this tutorial are to:

  • Get Istio installed
  • Send requests to a sample application
  • Use the Istio Grafana dashboard
  • Create the example metrics adapter
  • Generate a statistical distribution of request latency data using R and Istio telemetry
  • Use the Jupyter notebook to analyze request latency data with histograms
    • The docker image to pull for this takes a while - please run ./docker.sh --run before the tutorial

K8s Resources

Istio Resources

Histogram Resources

Tutorial Exercises

Exercise 1 - Setup Istio

Exercise 2 - Bookinfo Sample Application

Exercise 3 - Create a metrics adapter

Exercise 4 - Use R to plot a simple histogram of latency data

Exercise 5 - Use the Jupyter notebook to analyze latency data

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