Getting started with Hazelcast get acquainted with the highly scalable data grid, Hazelcast, and learn how to bring its powerful in-memory features into your application
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 t...
| Other Authors: | |
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| Format: | eBook |
| Language: | Inglés |
| Published: |
Birmingham, England :
Packt Publishing
2015.
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| Edition: | 2nd ed |
| Series: | Community experience distilled.
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| Subjects: | |
| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009629718706719 |
Table of Contents:
- ""Cover""; ""Copyright""; ""Credits""; ""About the Author""; ""About the Reviewers""; ""www.PacktPub.com""; ""Table of Contents""; ""Preface""; ""Chapter 1: What is Hazelcast?""; ""Starting out as usual""; ""Data deciding to hang around""; ""Therein lies the problem""; ""Breaking the mould""; ""Moving to new ground""; ""Playing around with our data""; ""Summary""; ""Chapter 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""; ""Chapter 3: Going Concurrent""; ""Atomic control""; ""Distributed locking""; ""Tactical locking""; ""Transactionally rolling on""; ""Differences when queuing""; ""Enterprising onwards""; ""Collectively counting up""; ""Spreading the word""; ""Summary""; ""Chapter 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""
- ""Chapter 5: Listening Out""""Listening to the goings-on""; ""The sound of our own data""; ""Continuously querying""; ""Listeners racing into action""; ""Keyless collections""; ""Programmatic configuration ahead of time""; ""Events unfolding in the wider world""; ""Moving data around the place""; ""Extending quorum""; ""Summary""; ""Chapter 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""; ""Partitioning control by name""; ""Self-updating results""
- ""In-place entry processing""""Summary""; ""Chapter 7: Gathering Results""; ""What is this big data hype all about?""; ""Trying to make sense of it all""; ""Combining data where possible""; ""Putting theory into practice""; ""Combining results as we go""; ""Simplifying just aggregating up""; ""Summary""; ""Chapter 8: Typical Deployments""; ""All heap and nowhere to go""; ""Stepping back from the cluster""; ""Serialization and classes""; ""Getting straight to the point""; ""Architectural overview""; ""Peer-to-peer clusters""; ""Smart clients and server clusters""
- ""Dummy client proxying through a single node""""Summary""; ""Chapter 9: From the Outside Looking In""; ""What about the rest of us?""; ""Memcache""; ""Going RESTful""; ""Cluster status via REST""; ""REST resilience""; ""Summary""; ""Chapter 10: Going Global""; ""Getting set up in the cloud""; ""Under manual control""; ""Discovery � the Amazonian way""; ""Filtering the possibilities""; ""Spreading out around the globe""; ""Summary""; ""Chapter 11: Playing Well with Others""; ""Don't pass what you need, depend on it""; ""Simplifying collection access""; ""Transparently caching others' data""
- ""Bring your own cluster""
