Book Image

Native Docker Clustering with Swarm

By : Fabrizio Soppelsa, Chanwit Kaewkasi
Book Image

Native Docker Clustering with Swarm

By: Fabrizio Soppelsa, Chanwit Kaewkasi

Overview of this book

Docker Swarm serves as one of the crucial components of the Docker ecosystem and offers a native solution for you to orchestrate containers. It’s turning out to be one of the preferred choices for Docker clustering thanks to its recent improvements. This book covers Swarm, Swarm Mode, and SwarmKit. It gives you a guided tour on how Swarm works and how to work with Swarm. It describes how to set up local test installations and then moves to huge distributed infrastructures. You will be shown how Swarm works internally, what’s new in Swarmkit, how to automate big Swarm deployments, and how to configure and operate a Swarm cluster on the public and private cloud. This book will teach you how to meet the challenge of deploying massive production-ready applications and a huge number of containers on Swarm. You'll also cover advanced topics that include volumes, scheduling, a Libnetwork deep dive, security, and platform scalability.
Table of Contents (18 chapters)
Native Docker Clustering with Swarm
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Dedication
Preface

Monitoring Swarm hosting apps


I (Fabrizio) was following a thread on Reddit (https://www.reddit.com/r/docker/comments/4zous1/monitoring_containers_under_112_swarm/) in August 2016, where users complained that the new Swarm Mode is harder to monitor.

If, for now, there are no official Swarm monitoring solutions, one of the most popular combinations of emerging technologies is: Google's cAdvisor to collect data, Grafana to show graphs, and Prometheus as the data model.

Prometheus

The team at Prometheus describes the product as:

Prometheus is an open-source systems monitoring and alerting toolkit originally built at SoundCloud.

Prometheus's main features are:

  • Multi-dimensional data model

  • A flexible query language

  • No reliance on distributed storage

  • Time series collection happens via a pull model

  • Pushing time series is supported via a gateway

  • Multiple modes of graphing and dashboarding support

There is a great presentation on https://prometheus.io/docs/introduction/overview/ that we will not repeat here...