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!
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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.
Workflow automation is essential for creating scalable business models. However, traditional Business Process Management Systems (BPMS) are often a millstone around developers’ necks. Even worse, their outdated technical architecture fails to meet today’s demand for scalability and resilience.
Camunda is a light-weight, open source platform for workflow and business process automation. It matches up perfectly with Java development and provides powerful business-IT-alignment based on BPMN 2.0. Camunda is written in Java and a perfect match for Java EE and Spring while providing a powerful REST API and script language support. In this webinar, we will show you how it all works and how to configure Camunda with Hazelcast® to achieve scalability and resilience.
Niall Deehan, Consultant at Camunda BPM
Niall Deehan works as a consultant with Camunda BPM. He specializes in the implementation of executable BPMN models within the English-speaking world. His career has involved long stints as both a Java Developer and a Technical Analyst. He sees BPMN (and especially Camunda BPM) as a linguistic bridge between those two disciplines.
Daniel Meyer, Technical Lead at Camunda BPM
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