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.
Industry-leading security with end-to-end TLS encryption, mutual authentication with X509 certificates, and roles-based authorization over data structures and actions, making security a seamlessly integrated component of your Hazelcast IMDG Enterprise application.
Architecture and Features
TLS / SSL communication for members and clients, and symmetric encryption for all socket-level communication, based on Java Cryptography Architecture.
JAAS-based authentication for pluggable identity verification, Socket Interceptor in order to add custom hooks to the cluster join operation and perform connection procedures, and TLS Mutual Authentication to ensure each communicating side proves its identity to the other.
Includes JAAS-based authorization for roles-based security, as well as a security interceptor that provides a callback point for every operation executed against the cluster.
Secure connections to external systems combined with security within the Hazelcast Jet cluster make the data pipeline secure end-to-end, using encryption, mutual authentication with X509 certificates, or pluggable mechanisms.
In this episode, we show how Hazelcast data is partitioned to provide benefits such as greater scalability and concurrency.
Neil Stevenson provides a demo of the Hazelcast Platform in action.
CTO John DesJardins dives into the details of the Hazelcast Platform and initial use cases.
Whether you're interested in learning the basics of in-memory systems, or you're looking for advanced, real-world production examples and best practices, we've got you covered.