New Hazelcast Cloud delivers simplified, instantaneous deployments for workloads requiring lowest latency at any scale

Hazelcast released on Tuesday Hazelcast Cloud, its fully managed, low latency data layer for cloud-based workloads at any scale. This offering enables companies to realize microsecond performance for critical applications from the smallest to the most extreme scale, all in a simplified and instantaneous deployment model.

Designed for cloud-native applications and specializing in low latency data access, Hazelcast Cloud is a perfect data store alternative for serverless functions.

Hazelcast Cloud is a combination of three technologies – Hazelcast IMDG, Kubernetes and Docker.

Hazelcast IMDG provides users a low-latency, high throughput distributed data and caching layer, whereas Kubernetes provides dynamic orchestration and Docker provides containerization. Hazelcast brings these solutions together to transparently provide a serverless Hazelcast IMDG service for your cloud-native applications.

Hazelcast Cloud uses Hazelcast IMDG Enterprise HD, its high-end enterprise version. Hazelcast IMDG open source, the most widely adopted operational in-memory computing platform, sits at the core of the IMDG, but the enterprise version includes essential enterprise features, such as security suite, rolling upgrades, data persistence, and recoverability, things which are not provided in competitive products from cloud vendors.

Hazelcast Cloud’s design encompasses philosophy of serverless computing. Using Hazelcast Cloud, users do not need to know anything about servers, instances or any other operational details, you only configure your cluster and start using it. The Hazelcast team manages tedious operational tasks so that the consumer can focus on their business.

All public clouds provide simple caching, typically using service wrapped and limited versions of other projects. Hazelcast Cloud is initial in-memory data grid generally available in the public cloud that provides customers with sophisticated, enterprise-grade features. While caching is one use for in-memory data grids, grids are also available as a generally distributed toolkit with 5 or 6 commonly used APIs. Some key ones include iMap, MultiMap, EntryProcessor, Query and Lock, all of which are available in Hazelcast Cloud.

“In the digital era, latency is the new downtime and microseconds matter,” said Kelly Herrell, Hazelcast CEO. “While cloud services are simple and economical for broad market use, they cannot power the most time-sensitive applications at scale. With Hazelcast Cloud, customers no longer have to accept this tradeoff. Now the same platform powering key on-premises applications for the world’s largest organizations is at the developer’s fingertips as a managed service.”

Expanding beyond its steeped history in the Java community, Hazelcast is making in-memory computing accessible to non-Java developers. For companies building applications in Java, .NET, Python, Node.js or Go, they can now deploy in-memory computing technologies to improve the performance and scale of the application, and ultimately the end-user experience.

Hazelcast Cloud (free and paid) for Amazon Web Services (AWS) is available now. Microsoft Azure and Google Cloud Platform (GCP) will be supported later this year.

Hazelcast Cloud Dedicated is expected to be available in the middle pf this year.


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