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.
Hazelcast Cloud delivers enterprise-grade Hazelcast software in the cloud, deployed as a fully managed service. Leveraging over a decade of experience and best practices, Hazelcast Cloud delivers a high-throughput, low-latency service that scales to your needs while remaining simple to deploy. If you’re considering moving to the Cloud, or are looking for an easy ramp on deploying in-memory technology, this white paper on migrating in-memory to the cloud is an informative and helpful resource.
Setting up servers and configuring software can get in the way of the problems you are trying to solve. With Hazelcast Cloud we take all of those pain points away.
Join this webinar on April 11th at 8:00 am PT / 11:00 am ET / 4:00 pm GMT to learn how you can instantly fire up and then work with Hazelcast Cloud from anywhere in the world. With our auto-generated client stubs for Java, Go, Node.js, Python and .NET, we can have you connected and coding in less than a minute!
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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.
Spring Data is a popular tool in the Spring ecosystem that brings a unified approach to data access that enables
applications to treat data sources as interchangeable. An application using the Spring Data paradigm can make
CRUD and query operations through a standard repository interface and can largely ignore the specifics of the
The Spring Data for Hazelcast® module allows this behavior using Hazelcast as the backing store, implementing the @Repository interface and with querying capabilities.
From a developer’s perspective, repository access is standardized, there’s no need to know how that the backend
is Hazelcast, simplifying their personal tech stack.
From an architecture’s viewpoint, all the benefits of Hazelcast (speed, scaling, resilience, etc) can be obtained for minimal effort.
After the webinar, visit https://github.com/hazelcast/spring-data-hazelcast for the implementation of Spring Data Hazelcast and tests in src/test/java
Neil is a solution architect for Hazelcast®, the world’s leading open source in-memory data grid.
In more than 25 years of work in IT, Neil has designed, developed and debugged a number of software systems for companies large and small.
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