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)

Creating alerts based on metrics

Let us create the first alert. We'll update our go-demo_main service by adding a few labels:

docker service update \ 
    --label-add com.df.alertName=mem \  
    --label-add com.df.alertIf='container_memory_usage_\
bytes{container_label_com_docker_swarm_service_name=\
"go-demo_main"} > 20000000' \ go-demo_main
Normally, we should have labels defined inside our stack file. However, since we'll do quite a few iterations with different values, we'll be updating the service instead modifying the stack file. That way we'll be able to iterate faster.

The label com.df.alertName is the name of the alert. It will be prefixed with the name of the service stripped from underscores and dashes (godemomem). That way, a unique alert name is guaranteed.

The second label (com.df.alertIf) is more important. It defines...