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.
Hazelcast Cloud Enterprise is the new cloud-native managed service that allows you to quickly set up a cluster of Hazelcast IMDG nodes in a public cloud (Amazon AWS today, with Google GCP and Microsoft Azure coming later this year), and have that cluster fully managed for you by Hazelcast.
Setting up the cluster requires just a few steps, and we will take you through everything you need to do to get your first cloud-based cluster up and running. For this tutorial, we’ll deploy our Hazelcast Cloud Enterprise cluster on Amazon AWS, and we will deploy the client code to access the cluster on an Amazon EC2 instance.