Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Docker Orchestration

You're reading from   Docker Orchestration A concise, fast-paced guide to orchestrating and deploying scalable services with Docker

Arrow left icon
Product type Paperback
Published in Jan 2017
Publisher Packt
ISBN-13 9781787122123
Length 284 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Authors (2):
Arrow left icon
Randall Smith Randall Smith
Author Profile Icon Randall Smith
Randall Smith
Gianluca Arbezzano Gianluca Arbezzano
Author Profile Icon Gianluca Arbezzano
Gianluca Arbezzano
Arrow right icon
View More author details
Toc

Table of Contents (11) Chapters Close

Preface 1. Getting Started with Docker Orchestration 2. Building Multi-Container Applications with Docker Compose FREE CHAPTER 3. Cluster Building Blocks – Registry, Overlay Networks, and Shared Storage 4. Orchestration with Docker Swarm 5. Deploying and Managing Services with Kubernetes 6. Working with Mesosphere 7. Using Simpler Orchestration Tools – Fleet and Cattle 8. Monitoring Your Cluster 9. Using Continuous Integration to Build, Test, and Deploy Containers 10. Why Stop at Containers? Automating Your Infrastructure

Collecting and graphing performance data


Logs are great, but sometimes what is really needed is a summary of system performance. A quick view of performance graphs can often tell an administrator much more than sifting through hundreds or thousands of log entries. A simple question such as "Why is this application slow?" can often require looking at performance data for the disks on the storage nodes, network utilization between each storage node and between the storage and the Docker host, memory and CPU utilization, and host disk performance. That does not even include things such as database speed and application inefficiencies. The good news is that all of this data can be collected and graphed.

Collecting data with collectd

The collectd daemon is a powerful tool that can collect data from many different sources and send the data to a number of databases. Two of those databases are Elasticsearch and InfluxDB. Using Elasticsearch means that the data is available for Kibana to build visualizations...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image