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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Hazelcast® is known for its 5 minute rule. If, in development, you cannot get a Hazelcast IMDG® cluster started in 5 minutes, something’s very wrong. Developers love the simplicity that is not only embodied by the IMDG API but also in the way its features are designed.
Going into production with IMDG, however, is a very different beast and operations or infrastructure teams have other requirements than developers, such as failure monitoring, real-time performance insights, deployment strategies (e.g. cloud environments) or sizing questions.
This webinar will give a quick but fun 10 step guide of the requirements for when you are going into production—what are the most common pitfalls for handover between developers and operations, as well as how to solve those issues first hand.
Christoph is a passionate Java developer with a deep commitment for Open Source software. He mostly is interested in Performance Optimizations and understanding the internals of the JVM and the Garbage Collector. He loves to bring software to its limits by looking into profilers and finding problems inside of the codebase.