This short video explains why companies use Hazelcast for business-critical applications based on ultra-fast in-memory and/or stream processing technologies.
Stream processing is a hot topic right now, especially for any organization looking to provide insights faster. But what does it mean for users of Java applications, microservices, and in-memory computing?
In this webinar, we will cover the evolution of stream processing and in-memory related to big data technologies and why it is the logical next step for in-memory processing projects.
Now, deploying Hazelcast-powered applications in a cloud-native way becomes even easier with the introduction of Hazelcast Cloud Enterprise, a fully-managed service built on the Enterprise edition of Hazelcast IMDG. Can't attend the live times? You should still register! We'll be sending out the recording after the webinar to all registrants.
Alwyn is one of the greatest contributors to the Hazelcast community. He does not only help others on problems and questions but is also deep into the Hazelcast source, providing bugfixes and features. Thanks to Alwyn for being such an important part of the community, and being a Hazelcast Hero!
You asked a question on Stackoverflow? If your answer is not from a Hazelcast® employee, there’s a very high probability Anil answered it. He’s the most active community member on StackOverflow and we’re happy to have him to share his insight and knowledge with the rest of the community!
Denis is not only a very active member of the Hazelcast community, answering questions and helping on issues, he is also extremely engaged with his help on new features and HEPs. Last but not least he’s the creator of BagriDB, an XML/Document database.
You’re looking for code samples or documentation/help about Hazelcast® in Japanese? Ippei aka Kazuhira can help you out. His blog features growing Hazelcast related examples and explanations, a huge contribution to the Hazelcast community in Japan!
He literally wrote the book on Hazelcast® 2.x, entitled “Getting Started with Hazelcast”. Given the release of Hazelcast 3.x, he updated it and released a second edition, you can find here. It still is a great reference and the Amazon comments speak for themselves.
Mike is always happy to help, most active on our Google Groups. He has a very deep understanding of the Hazelcast® codebase and is the author of HazelcastMQ, which provides a simple messaging layer on top of the basic Queue and Topic data structures provided by Hazelcast. You can find Mike’s blog here.
Tim was one of the first adopters of Hazelcast technology. He answers questions on the community and talks about Hazelcast at conferences. He is the co-author of the “Java Concurrency in Practice” handbook and was a member of the JCP Executive Committee.