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.
The In-Memory Platform of Choice for Businesses Worldwide
Intel and Hazelcast jointly optimize in-memory computing solutions; Intel hardware uniquely accelerates Hazelcast software, making Intel and Hazelcast truly better together. Hazelcast’s strategic co-engineering and co-innovation collaboration with Intel is designed to accelerate the performance of real-time applications, artificial intelligence (AI), and the Internet of things (IoT) solutions for enterprises.
At the center of this initiative is Project Veyron, which is focused on accelerating Hazelcast technologies on Intel platforms, including the 2nd Gen Intel® Xeon® Scalable processor and Intel® Optane™ DC persistent memory. The combination of Intel scalable processors with memory persistence and Hazelcast in-memory solutions offers unprecedented speed, reliability, and scalability at significantly better price /performance ratios.
Intel/Hazelcast announcement regarding Project Veyron
In this joint white paper by Intel and Hazelcast, we cover new developments in both in-memory software enablement, as well as new developments with in-memory processors, and how the two solutions will jointly enable the next generation of business and consumer applications.
Kubernetes brings new ideas on how to improve the performance of your microservices. You can use a cache or a distributed in-memory store and set them up with several different topologies: embedded, embedded distributed, client-server, cloud, sidecar, reverse proxy, and reverse-proxy sidecar. In this session you’ll see: A walk-through of all topologies for in-memory storage […]
This whitepaper discusses how an in-memory computing platform is used in the healthcare industry to help improve patient care.