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.
The ability to efficiently replicate data from one site to another is known to be a critical component of disaster recovery and geo-distribution strategies. But to do so, each site must run software that can participate in the replication connection. This often is not the case when running cloud vendor-specific software systems.
When using Hazelcast for cloud application acceleration, you can use its WAN Replication feature to make a copy of your cluster data from any location to another. This includes support for multi-cloud deployments, where you can choose the cloud vendor that best suits your needs at each geographic location. Hazelcast will replicate seamlessly across clusters, regardless of the environment.
In this video, Hazelcast senior solutions architect Sharath Sahadevan walks through the setup of Hazelcast WAN Replication in Google Cloud Platform. With this capability, you can replicate data to and from Hazelcast clusters running on AWS, Azure, and even on-premises.