Hazelcast Strengthens Cloud-Native Offerings, Introduces New Managed ServiceMarch 29, 2019
Hazelcast, the leading in-memory computing platform company, today announced Hazelcast Cloud, a fully managed, low latency data layer for cloud-based workloads at any scale.
Hazelcast Cloud, companies can 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.
the digital era, latency is the new downtime and microseconds matter,”
said Kelly Herrell, Hazelcast CEO. “While cloud services are simple and
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.”
From its intuitive and straightforward browser-based console, Hazelcast Cloud enables enterprises to instantly deploy Hazelcast’s in-memory computing solutions in a pre-configured manner. Customers are then able to apply industry-leading performance and scale, in a more cost-efficient and simpler deployment model.
Hazelcast Cloud and Cloud Dedicated
Hazelcast offers three editions of its managed service: Hazelcast Cloud (Free), Hazelcast Cloud and Hazelcast Cloud Dedicated.
initial free and paid versions of Hazelcast Cloud are designed
primarily for the test and development phases
of a project. While the two versions share the same technology, the
paid offering includes always-on status, higher memory size limits and
customer support. Both editions run on cloud instances operated by
Hazelcast Cloud Dedicated is deployed within the customer’s virtual private cloud (VPC) instance, but configured and maintained by Hazelcast. Suited for production workloads, Hazelcast Cloud Dedicated eliminates memory size restrictions, while adding features such as multithreading, multi-region availability and enterprise-grade support.
Kubernetes and Docker
Hazelcast Cloud is built on three widely adopted technologies: Hazelcast In-Memory Data Grid (IMDG), Kubernetes and Docker. While Hazelcast IMDG provides a distributed data layer, Kubernetes and Docker provide dynamic orchestration and containerization, respectively. Combined, Hazelcast Cloud delivers a powerful cloud-native serverless managed service.
Democratizing In-Memory Computing for All Developers
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.
Cloud (free and paid) for Amazon Web Services (AWS) is available now.
Microsoft Azure and Google Cloud Platform (GCP) will be supported later
Hazelcast Cloud Dedicated is expected to be available in mid-2019.