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)

Choosing instrumentation type

Prometheus supports four major metric types. We can make a choice between counters, gauges, summaries, and histograms. We will see them in action soon. For now, we'll limit the discussion to a brief overview of each.

A counter can only go up. We cannot decrease its value. It is useful for accumulating values. An example would be errors. Each error in the system should increase the counter by one.

Unlike counters, gauge values can go both up and down. A good example of a gauge is memory usage. It can increase, only to decrease a few moments later.

Histograms and summaries are more complex types. They are often used to measure duration of requests and sizes of responses. They track both summaries and counts. When those two are combined, we can measure averages over time. Their data is usually placed in buckets that form quantiles.

We'll go...