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.
In this session, Huseyin will talk about how to create a multi-tenant environment on Kubernetes to build a managed service.
He will share the golden rules of building a managed service on top of Kubernetes with real-life examples using the experience he gained during Hazelcast Cloud development.
– Environment isolation
– Microservice Architecture
– Tracing will be the central topic for this session
Huseyin is building Hazelcast Cloud to provide Hazelcast Cluster as a service with extensive features. AWS Certified DevOps Professional. Building highly scalable, real-time systems with Spring Boot, Kubernetes, Docker, Prometheus, Event-Based Systems, and Hybrid Cloud. Ex. Sony and eBay engineer.