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Elasticsearch Essentials

Elasticsearch Essentials

By : Bharvi Dixit
4.3 (6)
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Elasticsearch Essentials

Elasticsearch Essentials

4.3 (6)
By: Bharvi Dixit

Overview of this book

With constantly evolving and growing datasets, organizations have the need to find actionable insights for their business. ElasticSearch, which is the world's most advanced search and analytics engine, brings the ability to make massive amounts of data usable in a matter of milliseconds. It not only gives you the power to build blazing fast search solutions over a massive amount of data, but can also serve as a NoSQL data store. This guide will take you on a tour to become a competent developer quickly with a solid knowledge level and understanding of the ElasticSearch core concepts. Starting from the beginning, this book will cover these core concepts, setting up ElasticSearch and various plugins, working with analyzers, and creating mappings. This book provides complete coverage of working with ElasticSearch using Python and performing CRUD operations and aggregation-based analytics, handling document relationships in the NoSQL world, working with geospatial data, and taking data backups. Finally, we’ll show you how to set up and scale ElasticSearch clusters in production environments as well as providing some best practices.
Table of Contents (12 chapters)
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11
Index

Securing Elasticsearch

Elasticsearch does not have any default security mechanisms. Anyone can destroy your entire data collection with just a single command. However, with the increasing demand of securing Elasticsearch clusters, the Elastic team has launched a new product called shield that provides you with a complete security solution including authentication, encryption, role-based access control, IP filtering, field- and document-level security, and audit logging. However, if you cannot afford shield, there are other ways to protect Elasticsearch. One way can be to not expose Elasticsearch publicly and put a firewall in front of it to allow access to only a limited number of IPs. The other way is to wrap Elasticsearch in a reverse proxy to enable access control and SSL encryption. In this chapter, we will see how you can secure your Elasticsearch cluster using a basic HTTP authentication behind a reverse proxy.

In the remaining sections, we will go on to learn how to use Nginx to secure...

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