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.
One of the key selling points in the early days of the cloud was cost. Soon, businesses realized that the cloud was more about ease of deployment. This included fast provisioning, which enabled elasticity to scale up or down as needed. But what about performance?
A better way to improve performance for your cloud environment is to leverage in-memory technologies. With a scalable, in-memory platform, you can grow your RAM usage independently from your compute power, depending on your data and processing loads.
If you’ve already made the commitment to the public cloud, then read this white paper to learn how Hazelcast Cloud Enterprise can help you get the most out of your investment in cloud applications.
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