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.
Watch this webinar 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.
Full cluster recovery from either planned shutdowns or cluster-wide crashes.
Hazelcast Jet’s Lossless Recovery feature provides advanced fault-tolerance support for high-volume, mission-critical applications
Automatic Replication and Persistence of Critical Data
Data is continuously snapshotted and backed up to the disk, allowing the seamless recovery from the cluster-wide failures and shutdowns.
Uninterrupted Performance for Customer-Facing Streaming Data
Snapshotting, replication and persisting automatically occur in milliseconds, with essentially no noticeable effect on user experience.
Jet stores data in multiple replicas (copies) across the cluster, which are recovered from the back-up if a node fails.
Continuously persists the states of the cluster members on disk in a format specifically designed for restart performance and to work in concert with SSDs.
Consistent snapshots of each job are saved to storage, configured to be persistent with Hazelcast Hot Restart.
Rewindable sources are rewound using offsets saved in the snapshot (Kafka, Hazelcast IMap, Hazelcast ICache data sources support rewinding).
Learn how the UK’s largest Internet of Things network, British Gas, uses Hazelcast® in-memory data grid to serve over 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 Web.
British Gas uses Hazelcast IMDG® to store large amounts of data in memory for quick access and integrate that memory store with its current core back-end platform in order to linearly scale to the growing needs of its network.
Event stream processing continues to play an increasingly important role in today’s data architectures. This is no surprise, considering that companies are striving to respond faster to ongoing changes in their business environments. However, these companies are still not taking full advantage of the value of their data, typically because they have not planned for the right approaches and architectures for stream processing. Read this Gartner report to learn more.
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.