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Monitoring Elasticsearch

You're reading from   Monitoring Elasticsearch

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Product type Paperback
Published in Jul 2016
Publisher Packt
ISBN-13 9781784397807
Length 180 pages
Edition 1st Edition
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Authors (3):
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Dan Noble Dan Noble
Author Profile Icon Dan Noble
Dan Noble
Pulkit Agrawal Pulkit Agrawal
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Pulkit Agrawal
Mahmoud Lababidi Mahmoud Lababidi
Author Profile Icon Mahmoud Lababidi
Mahmoud Lababidi
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Toc

System and data architecting


This section covers strategies to improve overall system performance, data indexing performance, and to maximize storage space.

Hot-Warm architecture

For time-series data, including Twitter and other social media data as well as data from Logstash, Elastic.co recommends setting up what they have dubbed a Hot-Warm architecture. This setup puts nodes into three groups.

Master nodes

Ideally, dedicate three nodes as master nodes that do not store data or fulfill queries. These machines don't need to be very powerful; they just perform cluster management operations.

Hot nodes

Hot nodes hold the most recent data indices. All data writes are directed at these machines, and they are likely the most-frequently queried nodes. Elastic.co recommends equipping hot nodes with solid state drives (SSDs) for better I/O performance.

Warm nodes

In this architecture, data is not being written to warm nodes; instead, they contain historical time-based data. For example, if we create a new...

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