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.
Despite all of the proven benefits of microservices, there are still a few presumed challenges of the architecture that deter businesses from making the shift. Upon further inspection, it is apparent that there are a multitude of best practices that can help ease or eliminate the perceived disadvantages of microservices. Another key way to overcome these challenges is to use the right technology, which can facilitate the transition from monolithic to microservice architecture.
This paper discusses a few perceived challenges of microservices, and how they can be overcome to help you develop a more agile and innovative IT practice.If you aren’t certain that microservices are for you, this paper describes how some common concerns can be overcome to make the transition smoother.