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 Enterprise PaaS enables deployment of Hazelcast In-Memory Computing solutions in the leading enterprise cloud container environments.
IBM Cloud Private
Easy to deploy Hazelcast IMDG Enterprise and Management Center via IBM Cloud Private Catalog.
Seamless integration with IBM Websphere Liberty on IBM Cloud Private for Session Replication Use Cases.
Number one in-memory caching solution in microservices based deployments on IBM Cloud Private, built by IBM and Hazelcast joint effort.
Pivotal Cloud Foundry
Hazelcast IMDG for PCF is based on Hazelcast IMDG Enterprise, the leading in-memory data grid.
Hazelcast Jet for PCF is based on Hazelcast Jet Enterprise.
Ability to dynamically pass your Hazelcast configuration in JSON format while creating services.
Red Hat OpenShift
Hazelcast can be run inside OpenShift, benefiting from Kubernetes for discovery of members.
Architecture and Features
IBM Cloud Private is an application platform for developing and managing on-premises, containerized applications.
Cloud Foundry is an open source cloud platform as a service (PaaS) for building, deploying, running and scaling applications. PCF Tiles are standard approach to create on-demand services for Pivotal Cloud Foundry.
Simplifies deployment of Hazelcast IMDG Enterprise-based standalone infrastructure, as a certified Red Hat Enterprise Linux-based image.
This video by Hazelcast senior solutions architect Sharath Sahadevan walks through a setup of WAN Replication on Google Cloud Platform.
Machine learning (ML) brings exciting new opportunities, but applying the technology in production workloads has been cumbersome, time consuming, and error prone. In parallel, data generation patterns have evolved, generating streams of discrete events that require high-speed processing at extremely low response latencies. Enabling these capabilities requires a scalable application of high-performance stream processing, distributed application of ML technology, and dynamically scalable hardware resources.
See how the distributed compute features of Hazelcast can be used to build a rule engine for low-latency, high-throughput transaction processing.
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.