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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The in-memory speed you count on, with the convenience and scalability of cloud.
This guide highlights best practices in running Hazelcast IMDG® applications on Amazon Elastic Compute Cloud (EC2). EC2 is a central part of Amazon.com’s cloud computing platform, Amazon Web Services (AWS). This guide provides an overview of the terminology and high-level architecture of AWS. It offers guidance for a smooth deployment of Hazelcast on EC2 while explaining some of the high availability options on EC2. Hazelcast® is a high performance application and is dependent on consistent network behavior. Ready to maximize performance on the EC2 platform? Download this guide and learn how.
This guide is for cloud architects and developers preparing an application utilizing Hazelcast to be deployed from a physical environment to a virtualized cloud environment, namely EC2.
Hazelcast AWS cloud module helps Hazelcast cluster members discover each other and form the cluster on AWS.
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