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.
As organizations move more applications to Kubernetes, they have started encountering traditional enterprise computing challenges like the ones witnessed during the rise of server virtualization two decades ago. Predictable and consistent application performance and optimal efficiency for IT operations, DevOps, software developers, and site reliability engineers (SRE) in the face of exponentially increasing technology complexity are two challenges that any organization must solve or risk falling behind its competition.
This white paper by Torsten Volk, Managing Research Director at Enterprise Management Associates (EMA) describes some of the main issues that IT professionals are facing as they build out their Kubernetes environments. They clearly see value in a container-based, orchestrated environment for efficient resource allocation, scalability, resilience, etc., but now is the time to address the other concerns that such an environment presents.