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.
If you’re looking to accelerate your containerized cloud applications on AWS ECS, then Hazelcast provides the in-memory engine to speed up data accesses. Hazelcast IMDG easily plugs into your applications and since it’s open source, it’s very easy to get started.
In this video, Hazelcast software engineer Rafal Leszko walks you through the deployment of a containerized application that uses Hazelcast on AWS ECS. In this example, there are no extra servers to install and no separate cluster to maintain, as the Hazelcast functionality is embedded in the application and automatically forms a cluster via auto-discovery.