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.
With over 30 years of industry experience, Neil has designed, developed, debugged, and supported software systems for numerous customers large and small. Initially, a C and assembler programmer, most of the last 20 years have been Java-based, with a focus on distributed systems, data grids, and stream processing.
Neil is an occasional committer to the Hazelcast code base, with special interest on GoLang.