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Getting Started with Hazelcast. Learn how to write rich, interactive web applications using HTML5 and CSS3 through real-world examples. In a world of proliferating platforms and devices, being able to create your own “go-anywhere” applications gives you a significant advantage eBook -- spis treÅ›ci

• Getting Started with Hazelcast
  • Table of Contents
  • Getting Started with Hazelcast
  • Credits
  • About the Author
  • About the Reviewers
  • www.PacktPub.com
    • Support files, eBooks, discount offers, and more
      • Why Subscribe?
      • Free Access for Packt account holders
  • Preface
    • What this book covers
    • What you need for this book
    • Who this book is for
    • Conventions
    • Reader feedback
    • Customer support
      • Downloading the example code
      • Errata
      • Piracy
      • Questions
    • Trademarks
  • 1. What is Hazelcast?
    • Starting out as usual
    • Data deciding to hang around
    • Therein lies the problem
    • Breaking the mould
    • Moving to a new ground
    • Summary
  • 2. Getting off the Ground
    • Lets 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
    • Atomic control
    • Distributed locking
      • Tactical locking
    • Transactionally rolling on
      • Differences when queuing
      • Enterprising onwards
      • Collectively counting up
    • Spreading the word
    • Summary
  • 4. Divide and Conquer
    • Divvying up the data
    • Backups everywhere and nowhere
    • Scaling up the cluster
    • Grouping and separating nodes
    • Network partitioning
    • Summary
  • 5. Listening Out
    • Listening to the goings-on
    • The sound of our own data
      • Keyless collections
    • Programmatic configuration ahead of time
    • Events unfolding in the wider world
    • Moving data around the place
    • Summary
  • 6. Spreading the Load
    • All power to the compute
      • Giving up when tasks take too long
    • Running once, running everywhere
    • Placing tasks next to the data
      • Self-updating results
    • Summary
  • 7. Typical Deployments
    • All heap and nowhere to go
    • Stepping back from the cluster
    • Serialization and classes
    • Lite cluster members
    • Architectural overview
      • Peer-to-peer cluster
      • Clients and server cluster
      • Hybrid cluster
    • Summary
  • 8. From the Outside Looking In
    • What about the rest of us?
    • Memcache
    • Going RESTful
      • Cluster status via REST
      • REST resilience
    • Summary
  • 9. Going Global
    • Getting setup in the cloud
    • Under manual control
    • Discovery the Amazonian way
      • Filtering the possibilities
      • Spreading out around the globe
    • Summary
  • 10. Playing Well with Others
    • Don't pass what you need, depend on it
      • Simplifying collection access
    • Transparently caching others' data
      • Bring your own cluster
    • Cacheable methods with the Spring cache
    • Collection persistence
    • Web session storage
    • Management center
    • Summary
  • A. Configuration Summary
    • XML configuration
    • Programmatic configuration
  • Index