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.
High performance in your microservices is often required, but not always easy to achieve. To get the most out of your microservices deployments, you need to make sure you have the right technologies in place. We'll show how the integration of distributed in-memory data platforms can support the elasticity, statefulness, and performance of advanced microservices and examples of microservices patterns using a popular open-source project.
In this episode, we show how Hazelcast data is partitioned to provide benefits such as greater scalability and concurrency.
Neil Stevenson provides a demo of the Hazelcast Platform in action.
