Hazelcast IMDG is a clustered, in-memory data-grid that manages application data and distributes processing using in-memory storage and parallel execution for breakthrough application speed and scale. In this Quick Start Guide, learn what an in-memory data grid can be used for, how to do simple query operations with Hazelcast IMDG, what sharing means with Hazelcast, and more. This guide is intended for software architects and developers who are planning or building systems requiring distribute infrastructure for application scalability and performance.
This white paper, written by Java Champion Ben Evans, provides an introduction for architects and developers to Hazelcast®’s distributed computing technology.
Hazelcast Cloud is an enterprise-grade in-memory computing platform deployed and managed by the Hazelcast CloudOps team. The service
is powered by Hazelcast IMDG Enterprise HD and leverages widely adopted technologies, such as Docker and Kubernetes, to provide dynamic orchestration and containerization. Hazelcast Cloud supports applications developed in some of the most common languages, including Java, Node.js, Python. Go, and .NET.
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Download includes Management Center WAR file and reference manual. Earlier versions of Management Center were packaged with Hazelcast IMDG. You can download them by downloading Hazelcast IMDG 3.8.2 and earlier.
Test Hazelcast for your specific hardware, OS, Java version, network configuration, Hazelcast configuration, feature use and load characteristics. Hazelcast Simulator can be run on-premise, on Amazon EC2 and on Google Compute Engine.
You can test Hazelcast IMDG for real-life production problems like network problems, overloaded CPU and failing nodes. It also provides a benchmarking and performance-testing platform. Finally it integrates with various out-of-the-box profilers.
Hazelcast IMDG Simulator lets you:
Click to copy, then paste the following snippets into your build:
Pull hazelcast-jet docker image from Docker registry via this command:
docker pull hazelcast/hazelcast-jet
After that you should be able to run Hazelcast Jet docker image by:
docker run -ti hazelcast/hazelcast-jet
Install Hazelcast Jet from the official Helm Chart via this command:
helm install --set image.tag=0.7.2 stable/hazelcast-jet
Download includes Jet Management Center JAR file and reference manual.
Hazelcast IMDG clients and programming language APIs allow you to extend the benefits of operational in-memory computing to applications in these languages. All of these clients and APIs are open source and all except the Scala client are supported by Hazelcast.