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)

Firing alerts based on instrumented metrics

Now that we have a solid understanding of some of the expressions based on instrumented metrics, we can proceed and apply that knowledge to create a few alerts.

Let us deploy updated version of the go-demo stack.

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

We'll take a couple of moments to discuss the changes to the updated stack while waiting for the services to become operational. The stack definition, limited to relevant parts, is as follows:

... 
  main: 
    ... 
    deploy: 
      ... 
      labels: 
        ... 
        - com.df.alertName.1=mem_limit 
        - com.df.alertIf.1=@service_mem_limit:0.8 
        - com.df.alertFor.1=5m 
        - com.df.alertName.2=resp_time 
        - com.df.alertIf.2=sum(rate(http_server_resp_time_bucket{\
job="go-demo_main", le="0.1&quot...