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.
Grzegorz is a classically-trained Senior Software Engineer and blogger specializing in highly-scalable systems, performance, and architecture.
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Today, we’re happy to announce the new version of our hazelcast-hibernate53 integration providing the second-level cache provider implementation for Hibernate 5.4. Besides various bug fixes and performance improvements, we introduced a few highly-requested features. New Features Asynchronous Client Reconnect with Fallback In order to increase resiliency, whenever a connection between a client and a server is […]
Today, we’re happy to announce the preview version of quarkus-hazelcast-client is publicly available and accessible via quarkus-platform and code.quarkus.io. Quarkus is a modern Kubernetes-native application framework leveraging Docker and GraalVM which allows it to achieve impressive performance and resource utilization while maintaining portability. Quarkus Hazelcast Client extension makes it convenient to configure Hazelcast Client and […]
