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  • Book Overview & Buying Getting Started with Hazelcast
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Getting Started with Hazelcast

Getting Started with Hazelcast

By : Matthew Johns
4.1 (8)
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Getting Started with Hazelcast

Getting Started with Hazelcast

4.1 (8)
By: Matthew Johns
Buy this Book

Overview of this book

Table of Contents (18 chapters)
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Getting Started with Hazelcast
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Getting Started with Hazelcast
Credits
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Credits
About the Author
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About the Author
About the Reviewers
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About the Reviewers
www.PacktPub.com
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www.PacktPub.com
Preface
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Preface
Lock Free Chapter
1
What is Hazelcast?
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What is Hazelcast?
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Starting out as usual
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Data deciding to hang around
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Therein lies the problem
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Breaking the mould
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Moving to a new ground
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Summary
2
Getting off the Ground
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Getting off the Ground
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Let's get started
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Showing off straightaway
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Mapping back to the real world
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Sets, lists, and queues
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Many things at a time
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Searching and indexing
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What happens when we reach our limits?
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Summary
3
Going Concurrent
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Going Concurrent
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Atomic control
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Distributed locking
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Transactionally rolling on
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Spreading the word
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Summary
4
Divide and Conquer
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Divide and Conquer
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Divvying up the data
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Backups everywhere and nowhere
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Scaling up the cluster
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Grouping and separating nodes
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Network partitioning
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Summary
5
Listening Out
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Listening Out
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Listening to the goings-on
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The sound of our own data
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Programmatic configuration ahead of time
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Events unfolding in the wider world
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Moving data around the place
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Summary
6
Spreading the Load
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Spreading the Load
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All power to the compute
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Running once, running everywhere
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Placing tasks next to the data
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Summary
7
Typical Deployments
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Typical Deployments
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All heap and nowhere to go
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Stepping back from the cluster
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Serialization and classes
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Lite cluster members
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Architectural overview
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Summary
8
From the Outside Looking In
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From the Outside Looking In
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What about the rest of us?
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Memcache
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Going RESTful
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Summary
9
Going Global
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Going Global
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Getting setup in the cloud
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Under manual control
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Discovery – the Amazonian way
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Summary
10
Playing Well with Others
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Playing Well with Others
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Don't pass what you need, depend on it
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Transparently caching others' data
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Cacheable methods with the Spring cache
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Collection persistence
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Web session storage
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Management center
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Summary
1
Configuration Summary
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Configuration Summary
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XML configuration
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Programmatic configuration
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Index
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Index

Architectural overview

As we have seen there are a number of different types of deployment we could use, which one you choose really depends on our application's make up. Each has a number of trade-offs but most deployments tend to use one of the first two, with the client and server cluster approach the usual favorite unless we have a mostly compute focused application where the former is a simpler set up.

So let's have a look at the various architectural setups we could employ and what situations they are best suited to.

Peer-to-peer cluster

This is the standard example we have been mostly using until now, each node houses both our application itself, and data persistence and processing. It is most useful when we have an application that is primarily focused towards asynchronous or high performance computing, and will be executing lots of tasks on the cluster. The greatest drawback is the inability to scale our application and data capacity separately.

Clients and server cluster

This is a more...

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Getting Started with Hazelcast
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