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Getting Started with Hazelcast

You're reading from  Getting Started with Hazelcast

Product type Book
Published in Aug 2013
Publisher
ISBN-13 9781782167303
Pages 136 pages
Edition 1st Edition
Languages
Author (1):
Matthew Johns Matthew Johns
Profile icon Matthew Johns

Table of Contents (18) Chapters

Getting Started with Hazelcast
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
What is Hazelcast? Getting off the Ground Going Concurrent Divide and Conquer Listening Out Spreading the Load Typical Deployments From the Outside Looking In Going Global Playing Well with Others Configuration Summary Index

Memcache


If we were building a script-based application (say in Python or PHP), and required a data caching service, probably one of the first systems we would consider would be memcache. Both incredibly fast and remarkably simple, but it is this simplicity that does come with some drawbacks. Currently to provide resilience or replication, we have to either handle it on the client side or overlay another system on top of the default memcache to provide transparent scaling or data sharing. But either way, we are exposing some consistency risks, especially in the case of node failure or fallover.

However, one of its greatest strengths is the extent of its client libraries, with no fewer than 10 different technology stacks catered for. Drawing upon these benefits

Hazelcast has sought to provide a compatible alternative, in exposing a memcache API service from each of the Hazelcast cluster nodes. As each of the nodes exposes access to the whole cluster, we can talk to any node about any key held...

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