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Elasticsearch Essentials

You're reading from   Elasticsearch Essentials Harness the power of ElasticSearch to build and manage scalable search and analytics solutions with this fast-paced guide

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Product type Paperback
Published in Jan 2016
Publisher
ISBN-13 9781784391010
Length 240 pages
Edition 1st Edition
Languages
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Toc

Table of Contents (12) Chapters Close

Preface 1. Getting Started with Elasticsearch FREE CHAPTER 2. Understanding Document Analysis and Creating Mappings 3. Putting Elasticsearch into Action 4. Aggregations for Analytics 5. Data Looks Better on Maps: Master Geo-Spatiality 6. Document Relationships in NoSQL World 7. Different Methods of Search and Bulk Operations 8. Controlling Relevancy 9. Cluster Scaling in Production Deployments 10. Backups and Security Index

Scaling your clusters


While it's easy to get started with the launching of nodes and the forming of Elasticsearch clusters, the real challenge comes when the indexing and searching requests increase and your server encounters real pressure. In this section, we will discuss when and how to scale your Elasticsearch clusters.

Note

Cluster scaling is only possible if you have done some capacity planning in advance and have decided on an optimal number of shards. Always remember that once an index is created, you cannot increase or decrease the number of shards but can always change the number of replicas.

When to scale

Elasticsearch is very good at giving you hints in advance when it starts getting overloaded. The problems can arise in many areas such as slow searches, disk space utilizations, JVM issues, memory pressure, or high CPU utilizations. In any case, scaling should be done before your servers crash.

For timely scaling, the best thing to do is keep a close eye on the monitoring of the metrics...

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