Hazelcast has released the open source version of
Hazelcast 3.6.3 as an image in the Microsoft
Azure Marketplace to allow Microsoft Azure customers to run and provision Hazelcast for in-memory computing.
Hazelcast provides an in-memory data layer that scales elastically with demand.
Cloud developers can drop Hazelcast into their applications and achieve high-performance scalability and in-memory performance in the cloud with partition groups for failure domains across Microsoft Azure Regions. This ensures Microsoft Azure customers benefit from high application availability and seamless failover by having one cluster on two or more Microsoft Azure Regions. If one Region is lost the remaining cluster is large enough to handle the load – a business critical feature for businesses with high availability concerns.
To help cloud developers accelerate their use of open source solutions, Hazelcast has introduced a Cloud Discovery SPI which enables cloud-based or on-premises nodes to auto-discover each other in the same cluster with minimal configuration and management set-up.
With support for the Microsoft Azure Marketplace, Hazelcast also comes with integration options for cloud management and configuration including Apache jclouds, AWS, Microsoft Azure, Consul, Eureka, Jetty Web Sessions, Kubernetes, Mesos, Tomcat Web Session, and Zookeeper. Also, Hazelcast includes container deployment options for Docker, Cloud Foundry and OpenShift. For extensibility of individual cloud strategies, the Hazelcast open source community has created client APIs for a different programming environments including Java, Scala, .Net/C#, C++, Python, Node.js, and Clojure.