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 build applications with Spring Boot, then you should consider a very easy way to make them run much faster with an embedded cache. 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 steps for adding Hazelcast as a cache to your Spring Boot applications. There’s no extra server to install and no separate cluster to maintain. Everything you need will be embedded in your application.
As you’ll see in the video, Hazelcast doesn’t need to have separate caches for each application instance. Hazelcast discovers other instances and automatically turns your multiple application instances into a cluster. There’s no other effort on your part. This gives you a distributed cache that shares data across all application instances you run.