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.
Eureka Server is a REST based service that is primarily used in the AWS cloud for locating services for the purpose of load balancing and failover of middle-tier servers. This paper provides a “hand-on” methodology for using Netflix’s Eureka in conjunction with Hazelcast IMDG® as both a mechanism for process discovery in the cloud and as a way to specify data safety rules for partition groups.
The topics covered include:
This paper is intended for software architects and developers who are planning a Eureka Server and Hazelcast IMDG deployment and want to understand how to set this up.