Key Features
Book Description
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.What you will learn
- Learn and store numerous data types in different distributed collections
- Set up a cluster from the ground up
- Work with truly distributed queues and topics for clusterwide messaging
- Make your application more resilient by listening into cluster internals
- Run tasks within and alongside our stored data
- Filter and search our data using MapReduce jobs
- Discover the new JCache standard and one of its first implementations
Who this book is for
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.
Table of Contents
- What is Hazelcast
- Getting of the ground
- Going Concurrent
- Divide and Conquer
- Listening Out
- Spreading the Load
- Gathering Results
- Typical Deployments
- From the Outside Looking In
- Going Global
- Playing well with others
- Appendix
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