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.
Hazelcast is used to accelerate the performance of transaction-based systems (i.e., ones that follow a “request-response” pattern) that have stringent requirements around high throughput and low latency. Such systems can encounter loads of millions of transactions per second, especially during load spikes. This means the system must run as quickly and efficiently as possible to deliver consistent response times at any load. The system must also offer elasticity to grow dramatically in anticipation of large seasonal load spikes.
This paper describes a high performance architecture based on Hazelcast Jet and Hazelcast IMDG.