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!
Get a 30-day free trial.
Get started today with the
industry’s leading in-memory computing platform.
The in-memory speed you count on, with the convenience and scalability of cloud.
Most large organizations run their production systems on multiple sites worldwide or in the cloud. This gives them the benefit of business continuity and speed — users can work with their nearest production instance, yet divert to another should the local one go offline for whatever reason.
This webinar shows how this is done with Hazelcast® using the optional WAN replication feature. A cluster will run independently, but can also be connected to other clusters to share data changes inbound or outbound.
Various topologies exist here, such as active-passive where a second cluster it kept up to date ready to be used on demand. Or, active-active, where each cluster handles a share of the traffic but might take it all to give 100% uptime while a counterpart cluster has a maintenance outage.
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.
© 2019 Hazelcast, Inc. All rights reserved.