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Getting Started with Hazelcast, Second Edition

By : Matthew Johns

3.3 (3)

Getting Started with Hazelcast, Second Edition

3.3 (3)

By: Matthew Johns

Overview of this book

This book is a great introduction for Java developers, software architects, or DevOps looking to enable scalable and agile data within their applications. Providing in-memory object storage, cluster-wide state and messaging, or even scalable task execution, Hazelcast helps solve a number of issues that have troubled technologists for years.

Preface

Preface

What this book covers

What you need for this book

Who this book is for

Conventions

Reader feedback

Customer support

Trademarks

Free Chapter

1. What is Hazelcast?

1. What is Hazelcast?

Starting out as usual

Data deciding to hang around

Therein lies the problem

Breaking the mould

Moving to new ground

Summary

2. Getting off the Ground

2. Getting off the Ground

Let's get started

Showing off straightaway

Mapping back to the real world

Sets, lists, and queues

Many things at a time

Searching and indexing

What happens when we reach our limits?

Summary

3. Going Concurrent

3. Going Concurrent

Atomic control

Distributed locking

Transactionally rolling on

Spreading the word

Summary

4. Divide and Conquer

4. Divide and Conquer

Divvying up the data

Backups everywhere and nowhere

Scaling up the cluster

Having some of our data everywhere

Grouping and separating nodes

Network partitioning

Maintaining quorum

Summary

5. Listening Out

5. Listening Out

Listening to the goings-on

The sound of our own data

Programmatic configuration ahead of time

Events unfolding in the wider world

Moving data around the place

Extending quorum

Summary

6. Spreading the Load

6. Spreading the Load

All power to the compute

Running once, running everywhere

Placing tasks next to the data

Summary

7. Gathering Results

7. Gathering Results

What is this big data hype all about?

Putting theory into practice

Simplifying just aggregating up

Summary

8. Typical Deployments

8. Typical Deployments

All heap and nowhere to go

Stepping back from the cluster

Serialization and classes

Getting straight to the point

Architectural overview

Summary

9. From the Outside Looking In

9. From the Outside Looking In

What about the rest of us?

Memcache

Going RESTful

Summary

10. Going Global

10. Going Global

Getting set up in the cloud

Spreading out around the globe

Summary

11. Playing Well with Others

11. Playing Well with Others

Don't pass what you need, depend on it

Transparently caching others' data

Cacheable methods with the Spring cache

Caching by standard

Collection persistence

Web session storage

Cluster management

Summary

A. Configuration Summary

A. Configuration Summary

Cluster name

Management center

General properties

WAN replication configuration

Local network/interface binding

Cluster discovery (multicast-, unicast-, or EC2-based)

Map configuration

Listeners notified on map events

Listeners notified on topic broadcast

Cluster-wide listener registration

Index

Index

Cluster management

Throughout this book, we have seen how to set up and use Hazelcast to support our application, but once we start using it, we will need to maintain and support our cluster. While we can gain great insight into the goings on programmatically, this will take some effort to capture and control all aspects of the cluster. A part of our downloaded archive is Hazelcast's own management center (mancenter-3.5.war), which provides access to cluster and collection information as well as management and support capabilities. While this is a commercial product, it is currently free to be used with a cluster of up to two nodes.

Cluster management

JMX statistics

If we want to have more ownership of our cluster's monitoring potential integrated into our own monitoring and alerts infrastructure, we can additionally expose metrics via a JMX interface directly provided by each Hazelcast instance. We can then use the capturing capabilities provided by technologies such as collected or Munin to harvest...

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Tech Concepts

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Programming languages

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