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.
Quarkus is a popular framework for building containerized and serverless applications. It is very useful as the foundation for a microservices architecture. As part of your deployment, you might want to integrate in-memory technologies to accelerate your overall application performance by speeding the access to data.
In this video, Hazelcast senior software engineer Grzegorz Piwowarek walks you through the steps to integrate Hazelcast as a distributed cache into a Quarkus application.