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Learning Elasticsearch

You're reading from   Learning Elasticsearch Structured and unstructured data using distributed real-time search and analytics

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Product type Paperback
Published in Jun 2017
Publisher Packt
ISBN-13 9781787128453
Length 404 pages
Edition 1st Edition
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Author (1):
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Abhishek Andhavarapu Abhishek Andhavarapu
Author Profile Icon Abhishek Andhavarapu
Abhishek Andhavarapu
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Table of Contents (11) Chapters Close

Preface 1. Introduction to Elasticsearch FREE CHAPTER 2. Setting Up Elasticsearch and Kibana 3. Modeling Your Data and Document Relations 4. Indexing and Updating Your Data 5. Organizing Your Data and Bulk Data Ingestion 6. All About Search 7. More Than a Search Engine (Geofilters, Autocomplete, and More) 8. How to Slice and Dice Your Data Using Aggregations 9. Production and Beyond 10. Exploring Elastic Stack (Elastic Cloud, Security, Graph, and Alerting)

Alerting

Just like Graph, alerting is a part of X-Pack Gold and Platinum subscription. Alerting was formerly known as . You can define watchers on cluster events and existing indexes. Watcher can be configured to be executed on schedule. Elasticsearch alerting is very flexible, and the input can be the response to an HTTP request or a query on existing Elasticsearch index. A watch is triggered if the input matches a predefined condition. For example, the input can be the cluster status and condition is "if the cluster status is red". When a condition is triggered, you can define what action has to be taken. An action can be sending an e-mail, indexing a document, sending a slack message, and so on.

For an e-commerce store, let's define a watcher to alert if less than five orders have been placed within the last 30 minutes. The action we will take when the condition...

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