Johns Getting Started with Hazelcast, Second Edition

Get acquainted with the highly scalable data grid, Hazelcast, and learn how to bring its powerful in-memory features into your application
1. Auflage 2025
ISBN: 978-1-78355-405-8
Verlag: De Gruyter
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 162 Seiten

Key FeaturesBook DescriptionThis 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 forThis 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.

Autoren/Hrsg.

Johns, Matthew

Fachgebiete

• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein

Über Autor(innen)

Johns Matthew :

contacted on 6 may '16 ________ Matthew Johns is an agile software engineer and hands-on technical/solution architect; specialising in designing and delivering highly scaled and available distributed systems, with broad experience across the whole stack. He is the solution architect and lead engineer at Sky.