Book Image

The DevOps 2.2 Toolkit

By : Viktor Farcic
Book Image

The DevOps 2.2 Toolkit

By: Viktor Farcic

Overview of this book

Building on The DevOps 2.0 Toolkit and The DevOps 2.1 Toolkit: Docker Swarm, Viktor Farcic brings his latest exploration of the Docker technology as he records his journey to explore two new programs, self-adaptive and self-healing systems within Docker. The DevOps 2.2 Toolkit: Self-Sufficient Docker Clusters is the latest book in Viktor Farcic’s series that helps you build a full DevOps Toolkit. This book in the series looks at Docker, the tool designed to make it easier in the creation and running of applications using containers. In this latest entry, Viktor combines theory with a hands-on approach to guide you through the process of creating self-adaptive and self-healing systems. Within this book, Viktor will cover a wide-range of emerging topics, including what exactly self-adaptive and self-healing systems are, how to choose a solution for metrics storage and query, the creation of cluster-wide alerts and what a successful self-sufficient system blueprint looks like. Work with Viktor and dive into the creation of self-adaptive and self-healing systems within Docker.
Table of Contents (18 chapters)

Querying metrics

Targets are up and running, and Prometheus is scraping their data. We should generate some traffic that would let us see Prometheus query language in action.

We'll deploy go-demo stack. It contains a service with an API and a corresponding database. We'll use it as a demo service that will allow us to explore better some of the metrics we can use.

docker stack deploy \  
    -c stacks/go-demo.yml \  
    go-demo 

We should wait a few moments for the services from the go-demo stack to start running. Please execute docker stack ps go-demo to confirm that all the replicas are running.

Now that the demo service is running, we can explore some of the metrics we have at our disposal by opening graph page.

open "http://$(docker-machine ip swarm-1)/monitor/graph"

Please type haproxy_backend_connections_total in the Expression field, and press the Execute...