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Scaling Apache Solr

You're reading from   Scaling Apache Solr Optimize your searches using high-performance enterprise search repositories with Apache Solr

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Product type Paperback
Published in Jul 2014
Publisher
ISBN-13 9781783981748
Length 298 pages
Edition 1st Edition
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Author (1):
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Hrishikesh Vijay Karambelkar Hrishikesh Vijay Karambelkar
Author Profile Icon Hrishikesh Vijay Karambelkar
Hrishikesh Vijay Karambelkar
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Table of Contents (13) Chapters Close

Preface 1. Understanding Apache Solr FREE CHAPTER 2. Getting Started with Apache Solr 3. Analyzing Data with Apache Solr 4. Designing Enterprise Search 5. Integrating Apache Solr 6. Distributed Search Using Apache Solr 7. Scaling Solr through Sharding, Fault Tolerance, and Integration 8. Scaling Solr through High Performance 9. Solr and Cloud Computing 10. Scaling Solr Capabilities with Big Data A. Sample Configuration for Apache Solr Index

Running Solr on Cloud (IaaS and PaaS)


Apache Solr can be run as IaaS or PaaS on different Cloud providers. The difference between IaaS and PaaS is that IaaS will require additional steps to install the underlying platform (operating system). The setup of the operating system is out of the scope of this book; however, many OS vendors provide excellent documentation about how it can be set up. We will look at some of the implementations of Solr using IaaS and PaaS providers. Among them, Amazon AWS is a well-established Cloud provider, and Gartner has placed it in the top right in a magic quadrant for its richest IaaS/PaaS product portfolio. It is constantly expanding its service offerings and reducing its prices. In this section, we will be focusing on setting up Solr with AWS.

Running Solr with Amazon Cloud

Amazon Web Services Cloud can be accessed by typing http://aws.amazon.com/. Amazon Elastic Compute Cloud (Amazon EC2) provides resizable computing capacity in the Amazon Web Services (AWS...

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