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.
Hazelcast® is known for its 5 minute rule. If, in development, you cannot get a Hazelcast IMDG® cluster started in 5 minutes, something’s very wrong. Developers love the simplicity that is not only embodied by the IMDG API but also in the way its features are designed.
Going into production with IMDG, however, is a very different beast and operations or infrastructure teams have other requirements than developers, such as failure monitoring, real-time performance insights, deployment strategies (e.g. cloud environments) or sizing questions.
This webinar will give a quick but fun 10 step guide of the requirements for when you are going into production—what are the most common pitfalls for handover between developers and operations, as well as how to solve those issues first hand.
Christoph is a passionate Java developer with a deep commitment for Open Source software. He mostly is interested in Performance Optimizations and understanding the internals of the JVM and the Garbage Collector. He loves to bring software to its limits by looking into profilers and finding problems inside of the codebase.