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 paper is intended for software architects and developers who are planning or building systems requiring distribute infrastructure for application scalability and performance.
Microservices, as an architectural approach, has shown a great deal of benefit over the legacy style of monolithic single applications. Nevertheless, microservices are not without their drawbacks. The purpose of this white paper is to show first steps for using Spring Boot and Hazelcast IMDG® contribute to the microservices landscape, enhancing the benefits and alleviating some of the common downsides.
This white paper, written by Java Champion Ben Evans, provides an introduction for architects and developers to Hazelcast®’s distributed computing technology.
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The in-memory speed you count on, with the convenience and scalability of cloud.
The industry's fastest, most scalable in-memory data grid, where speed, scalability and continuous processing are the core requirements for deployment.
Overview
An IMDG (in-memory data grid) is a data structure or layer that resides in random access memory (RAM), as opposed to a hard drive or a database. Due to recent innovations, it’s now possible to store terabytes of data in RAM, as well as to distribute this data across multiple nodes in a network or cloud while having it run as a single system.
The primary advantage is speed, which has become critical in an environment with billions of mobile, IoT devices and other sources continuously streaming data. With all relevant information in RAM, in an IMDG, there is no need to traverse a network to remote storage for transaction processing. The difference in speed is significant – minutes vs. sub-millisecond response times for complex transactions done millions of times per second.
Features
Enables the largest data sets to run efficiently in an in-memory cluster across your most popular data APIs.
Provides a bird’s-eye view of all cluster activity, along with configurable watermarks for alerts through a web-based user interface and cluster-wide JMX and REST APIs.
Whether the restart is a planned shutdown or a sudden cluster-wide crash, Hot Restart Store allows full recovery to the previous state of configuration and cluster data.
Upgrades cluster nodes and versions without service interruption.
Provides standards-based Java Authentication and Authorization Service (JAAS) and interoperable encryption, authentication, and access control checks to mission-critical applications.
Synchronizes multiple Hazelcast clusters in different datacenters for disaster recovery or geographic locality, and can be managed centrally through Management Center.
Enables your applications to run in the most popular enterprise container management environments, Pivotal Cloud Foundry and OpenShift Container Platform.
24×7 service and support with a one-hour service-level agreement, as well as maintenance and hot patch fixes.
Customer Stories
Competent fraud detection systems can help organizations gain a clearer view of entities, relationships, and hidden patterns as they deal with financial crimes, including payment card fraud, anti-money laundering and anti-terrorist financing. Hazelcast can store account details, recent transaction history and scoring all in one place for powerful, comprehensive checks, live within the request. Short SLAs measured in milliseconds means that these checks must be done very fast. If high-speed fraud detection is your concern, Hazelcast’s in-memory technology is a perfect fit.
The UK’s largest Internet of Things (IoT) network serves more than 200,000 homes with a system that allows users to remotely control their heating and hot water temperature from their mobile device or on the internet. This completes 20,000 writes per second in a 20-node Hazelcast IMDG cluster with plenty of spare capacity and an average latency of under 1 millisecond. Hazelcast IMDG is used as the back-end infrastructure for many IoT deployments. Everything from in-home thermostats and lighting systems to industrial sensors, such as smart meters and in-store e-Commerce systems.
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Learn
A high-level overview of Hazelcast IMDG technology and operations
Start using Hazelcast IMDG right away with this quick demo.
How to configure Hazelcast IMDG
Hazelcast offers a handy productivity tool from Speedment that automates database integration.
Go’ing to web-scale. Join this webinar to learn about all the requirements for a distributed system in a modern enterprise. We will examine the hazards to avoid and demonstrate how Hazelcast helps a Go developer achieve web-scale.
Hazelcast IMDG® is the industry’s leading in-memory data grid (IMDG) solution. In an environment driven by digital transformation, continuous intelligence, and a whole new level of performance expectations, enterprises need digital speed, massive scale and actionable perspective in order to thrive in a multi-cloud technology ecosystem.
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.
