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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industry’s leading in-memory computing platform.
The in-memory speed you count on, with the convenience and scalability of cloud.
Business software must be efficient, adaptable, and easy to use. When you need to process complex events that integrate to back-end infrastructure, support geographically distributed teams, microservices architecture can deliver the optimal solution.
Leveraging Hazelcast for your microservices platform enables you to focus on solving business issues, rather than the infrastructure and development of your network communication. Hazelcast’s active development and user support make it a go-to platform for network distribution and in-memory data storage.
The advantages offered by microservices include:
Migrating a complex system into a series of smaller, isolated and more manageable pieces allows the individual services to be deployed or replaced in isolation at a rapid pace.
This works particularly well in complex environments with technologies that were not originally designed to work together.
A platform of small interoperating services is always more resilient in the face of unexpected events, such as network outages.
The ability to replace specific components, rather than the entire application speeds up support, reduces downtime and ultimately results in happier end users.
Appropriate technology stacks can be used for each microservice to enable the best solution.
Microservices architectures are all about finding best-of-breed technology to produce an efficient and adaptable composite solution.
Microservices-deployed client server with a shared Hazelcast cluster provides a simple and easy transitional path to deploying microservices infrastructure.
If you need to keep your microservices contained to a specific process or application, Hazelcast can isolate it by embedding in specific, isolated clusters.
Hazelcast Microservices architecture can also be deployed in a client-server model with an isolated Hazelcast cluster per service.
Fixed IP addresses, Multicast, Apache jclouds, AWS, Azure, Consul, etcd, Eureka, Kubernetes, Zookeeper. Additionally, Hazelcast has clients for several programming languages, such as Java, C#/.Net, C/C++, Python, Node.js and Scala.
Whether you're interested in learning the basics of in-memory systems, or you're looking for advanced, real-world production examples and best practices, we've got you covered.