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.
Microservices is one of the most promising architectural trends right now. For applications that need to move into the cloud, respond to demands for more agile development models, and support a broader mix of clients including mobile and IoT, microservices can look like the panacea for all your digital transformation needs.
In this webinar, we’ll show how the microservices model can fall short in addressing the need for distributed access to shared data, and how Hazelcast can be used in a microservice architecture to solve some of the most difficult challenges facing developers and architects in building a robust distributed data architecture.
Mike Yawn is a Senior Solutions Architect with Hazelcast, the provider of the leading operational In-Memory Computing Platform. In that role, he provides pre-sales consulting on Hazelcast IMDG, Hazelcast Jet, and Hazelcast Cloud solutions to commercial customers. Prior to joining Hazelcast, Mike performed a number of consulting and R&D functions with HP, eBay, Oracle, and EMC, supporting customers in manufacturing, banking, healthcare, and other industries.