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.
Are you planning a cloud-native application or looking to deploy Hazelcast in the cloud? Then this webinar is for you.
Kubernetes is a container orchestration system that has seen a meteoric surge in popularity. It works with a range of container tools including Docker, or as a part of your PaaS platform, such as Red Hat Openshift Container Platform, Cloud Foundry with its Project Kubo, and Google’s KNative platform.
In this webinar, we will take a look at what it means for anyone currently using or interested in using Hazelcast to build a cloud-native application. We will review how to setup and deploy using a sample application, and get you ready to have a starter application of your own running on Kubernetes.
Neil is a solution architect for Hazelcast®, the world’s leading open source in-memory data grid.
In more than 25 years of work in IT, Neil has designed, developed and debugged a number of software systems for companies large and small.