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)

Non-dimensional versus dimensional metrics

Before we explore the tools we'll choose from, we should discuss different approaches to storing and collecting metrics.

We can divide the tools by dimensions. Some can store data with dimensions while others cannot. Representatives of those that are dimensionless would be Graphite and Nagios. Truth be told, there is a semblance of dimensions in Graphite, but they are so limited in their nature that we'll treat it as dimensionless. Some of the solutions that do support dimensions are, for example, InfluxDB and Prometheus. The former supports them in the form of key/value pairs while the latter uses labels.

Non-dimensional (or dimensionless) metric storage belongs to the old world when servers were relatively static, and the number of targets that were monitored was relatively small. That can be seen from the time those tools...