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.
Watch this webinar 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.
Hazelcast Auto Database Integration (Auto DBI) is a highly efficient time-saving tool for working with databases. It streamlines the development of Hazelcast applications by generating a Java domain model representation (POJOs and more) of the database, allowing companies to be productive with Hazelcast in no time. In addition, it integrates with any RDBMS and supports most standard database types, including BLOB and CLOB.
In this webinar, you will learn some of Auto DBI’s capabilities, such as:
David has traveled the world, helping people make sense of in-memory data grids. With 30 years in the IT industry, he began his career as a Cobol programmer before moving into investment banking IT as a Java developer and architect. During this time, David developed a deep interest in distributed systems research, focusing on consensus and reliability. He has deep expertise in server-side Java, developing highly concurrent, high-throughput systems. Throughout his career, he has programmed and architected business-critical trading systems using technologies such as Oracle Coherence, Pivotal Gemfire and Hazelcast. In addition to being a Hazelcast blog contributor, David provides IMDG technology insight through his own blog at http://davebrimley.com.
Per Minborg is CTO at Speedment, Inc. in Palo Alto. He is focusing on high-performance solutions, cloud technologies, and concurrent programming. He is a regular speaker at various conferences such as. JavaOne alumni, Devnexus, jdays, and JUGs. Per has 15+ US patent applications and invention disclosures. He runs the blog “Minborgs Javapot blog” with a million reader, he is a co-author of Modern Java – Research Guides. He has studied computer science and computer security at a Ph.D. level.