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.
Many modern applications today emphasize handling volume and speed in an efficient way. One way organizations have achieved those goals is by adopting a microservices architecture. But a microservices architecture alone won’t address your requirements, as you need the right tools and strategy. The use of streaming technologies in microservices is an emerging trend that you should consider. And combining streaming with in-memory technologies lets you deploy and run your systems faster.
In this webinar, we’ll cover:
Scott McMahon is the Technical Director & Team Lead, America st at Hazelcast® with over 20 years of software development and enterprise consulting experience. Before specializing in Hazelcast In-Memory Data Grid technology he built big data analytics platforms and business process management systems for many of the world’s leading corporations. He currently lives in Portland, Oregon, and when not working on computer systems, he enjoys getting outdoors and having fun with his family.
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