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.
Dale Kim, Sr. Director of Technical Solutions, will walk through Hazelcast’s partnership with IBM and Intel and how they are working together on a number of use cases tied to edge computing, mainframe optimization, IBM Cloud, and more. Kim presents cloud-native deployment of Hazelcast in IBM Cloud with Red Hat OpenShift and edge computing with IBM’s Edge Ecosystem. He also presents mainframe integration with hybrid cloud built on IBM Red Hat OpenShift. Next Kim turns to fast compute and memory with Intel Optane PMem and Xeon Scalable CPUs. Finally, Kim presents use cases for Hazelcast, including caching, fast restart with Optane, on-demand analytics, continuous query with drill down, and a payment processing reference architecture.
Recorded as part of Tech Field Day 23 on April 22, 2021.