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Mastering Redis

You're reading from   Mastering Redis Take your knowledge of Redis to the next level to build enthralling applications with ease

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Product type Paperback
Published in May 2016
Publisher Packt
ISBN-13 9781783988181
Length 366 pages
Edition 1st Edition
Languages
Tools
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Authors (2):
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Vidyasagar N V Vidyasagar N V
Author Profile Icon Vidyasagar N V
Vidyasagar N V
Jeremy Nelson Jeremy Nelson
Author Profile Icon Jeremy Nelson
Jeremy Nelson
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Toc

Table of Contents (13) Chapters Close

Preface 1. Why Redis? FREE CHAPTER 2. Advanced Key Management and Data Structures 3. Managing RAM – Tips and Techniques for Redis Memory Management 4. Programming Redis Part One – Redis Core, Clients, and Languages 5. Programming Redis Part Two – Lua Scripting, Administration, and DevOps 6. Scaling with Redis Cluster and Sentinel 7. Redis and Complementary NoSQL Technologies 8. Docker Containers and Cloud Deployments 9. Task Management and Messaging Queuing 10. Measuring and Managing Information Streams A. Sources Index

Redis as a preprocessor complement to ElasticSearch


ElasticSearch started off as a JSON-based frontend to Lucene. Lucene is an open source enterprise search index sponsored by the Apache Foundation that is also the core search technology for another popular search-based technology called Solr. ElasticSearch indexes JSON documents into a Lucene index and uses a custom JSON-base DSL (domain specific language) for querying the search index. ElasticSearch uses sharding and clustering techniques for scaling search to include large data sets. ElasticSearch powers searching for a number of well known websites including Netflix, The New York Times, Cisco, eBay, and Goldman Sachs.

The main sponsor of ElasticSearch, the for-profit company Elastic.co, also supports a number of other technologies that complement or build upon the ElasticSearch search index including Logstash, a log harvester that indexes logs into ElasticSearch, and Kibana, a visualization tool for ElasticSearch. Using all three together...

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