Companies need a data-processing solution that increases the speed of business agility, not one that is complicated by too many technology requirements. This requires a system that delivers continuous/real-time data-processing capabilities for the new business reality.
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.
Setting up servers and configuring software can get in the way of the problems you are trying to solve. With Hazelcast Cloud we take all of those pain points away. Watch this webinar to learn how you can instantly fire up and then work with Hazelcast Cloud from anywhere in the world. With our auto-generated client stubs for Java, Go, Node.js, Python and .NET, we can have you connected and coding in less than a minute!
High-performance persistence for fast cluster restarts.
Overview
Whether the restart is a planned shutdown or a sudden cluster-wide crash, Hot Restart Store allows full recovery to the previous state of configuration and cluster data.
Local Control
Each node controls its own local snapshot, providing linear scaling across the cluster.
Industry Standards
Hot Restart Store supports the IMap and JCache interfaces, as well as Web Sessions and Hibernate, with further data structures planned in subsequent releases.
Architecture and Features
Persistence store optimized for SSD and mirrored in native memory.
Each node operates its own independent store.
Data entirely loaded into RAM on reload, ensuring you always operate at in-memory speeds.
Configurable per data structure for JCache, Map, Web Sessions and Hibernate.
Resources
In this video tutorial, Hazelcast cloud software engineer Rafal Leszko walks you through the steps to get Hazelcast running in embedded mode in a Kubernetes cluster.
Get up and running with the Hazelcast IMDG C# / .NET Client quickly with this easy to use reference card.
Get up and running with the Hazelcast IMDG Python Client quickly with this easy to use reference card.
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.
