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.
Overview
Imagine you have different data centers in New York, London and Tokyo each running an independent Hazelcast cluster. Every cluster is operating at native speed in its own LAN (Local Area Network), but you also want some or all record sets in these clusters to be replicated to each other – updates in the Tokyo cluster should also replicate to London and New York, and updates in the New York cluster are to be synchronized to the Tokyo and London clusters.
Hazelcast WAN Replication allows you to keep multiple Hazelcast clusters in sync by replicating their state over WAN environments, such as the internet.
As part of your disaster recovery and geographic distribution strategies, Hazelcast WAN Replication enables hybrid-cloud and multi-cloud deployments to let you build a consistent architecture anywhere and everywhere. Watch this video guide that walks through the simple process of replicating from an on-premises Hazelcast deployment to two separate cloud deployments. The accompanying written guide is available here.
Architecture
Hazelcast WAN Replication supports data recovery in both Active-Passive or One-way mode, enables geographic locality in Active-Active or Two-way mode and provides ease of use for test / development environment set-up.
Hazelcast WAN Replication provides support for Hazelcast Map (IMap): PutIfAbsent, HigherHits, PassThrough, LatestUpdate, as well as Hazelcast JCache (ICache): HigherHits, and PassThrough.
Hazelcast WAN Replication delivers default synchronization, sending all data to a target cluster to align the state of the target with the source, as well as Delta Synchronization using Merkle Trees, which synchronize only the different entries, instead of sending all entries.
Hazelcast WAN Replication includes WanBatchReplication, which sends replication events to the target cluster after a pre-defined number of replication events or a pre-defined amount of time, as well as SolaceWanPublisher, allowing WAN Replication users to use Solace.
Resources
Kubernetes brings new ideas on how to improve the performance of your microservices. You can use a cache or a distributed in-memory store and set them up with several different topologies: embedded, embedded distributed, client-server, cloud, sidecar, reverse proxy, and reverse-proxy sidecar. In this session you’ll see: A walk-through of all topologies for in-memory storage […]
This whitepaper discusses how an in-memory computing platform is used in the healthcare industry to help improve patient care.
Learn how the cloud-native architecture of Hazelcast works with Kubernetes when deploying fast cloud applications.
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.
