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.
You created a Java EE application using a REST front-end on top of relational database using JPA. Now you need to make it highly available and scalable across a large number of machines.
This webinar will start with a simple JAX-RS/JPA application. We will turn this standard Java EE application, step by step, into a fully clustered application using a CDI extension and producers to integrate Hazelcast®, as a JCache provider. To do that we will study the data model and how to persist it efficiently.
Jonathan Gallimore is a passionate Apache TomEE committer, developer and trainer at Tomitribe. He is a user-turned-contributor of Open Source software, starting with Apache TomEE since September 2007. Jon worked on numerous features including EJB 3.1 compliance, OpenEJB Eclipse Plug-in, early Tomcat 7 integration (that became the basis for TomEE) and the first version of the TomEE Arquillian adapter. Over the years he contributed technical write-ups to JAX Magazine and the Tomitribe blog. Jon is a speaker at local JUGs, JAX London and ApacheCon. You can find Jon’s technical postings at www.tomitribe.com/blog.