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 features a cloud-native architecture, so it provides elastic scaling and resilience in cloud/containerized environments, such as those orchestrated by Kubernetes. Hazelcast can be deployed in a cloud environment to speed up your applications with in-memory and distributed processing architectures.
This whitepaper discusses the various configuration issues you should plan for when you deploy Hazelcast into Kubernetes. The simplicity of Hazelcast ensures that your cloud environment can become more valuable without adding significant administrative overhead.