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.
IBM customers working on application modernization projects from on-premises installations to cloud architectures will need the infrastructure to take advantage of cloud-native capabilities. IBM Cloud Paks are software stacks that help businesses deploy enterprise systems into any cloud environment. The Cloud Paks are built on Red Hat OpenShift, Kubernetes, containers, and supporting software to run enterprise applications.
However, customers using IBM eXtreme Scale on-premises will need an alternative in-memory technology, as eXtreme Scale does not support cloud environments using Kubernetes and containers. Read this paper to see how Hazelcast delivers in-memory speeds to applications built on IBM Cloud Paks.
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