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.
With our recent release of Hazelcast IMDG 4.0, we would like to invite you to watch this video, where we will discuss the new features in this release at a high level and talk about how you can take advantage of them.
Hazelcast Cloud Enterprise is the new cloud-native managed service that allows you to quickly set up Hazelcast IMDG in a public cloud, fully managed for you by Hazelcast. This tutorial will walk through deployment of Hazelcast Cloud Enterprise on Amazon AWS.
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Looking for info on our live events? We're busy coordinating developer events at the moment, so please check back in a few days for the latest info. In the meantime, check out our free, on-demand training.
Sr. engineer Grzegorz Piowawarek walks through the integration of Hazelcast as a Hibernate second level cache within Spring Boot
Sr. engineer Grzegorz Piowawarek walks through the integration of Hazelcast into a Quarkus application.
Join Hazelcast and Intel for this deep dive into how your organization can create a single, unified data plane that extends all the way from the myriad things at the edge of your business right into your corporate cloud or data center.
In this talk we will show you how to write a low-latency, high throughput distributed stream processing pipeline (in Java), using a model developed in Python.
Edge computing is opening new avenues for organizations of all sizes, across industries, and across markets. By leveraging a data-driven ecosystem at the edge we can optimize both internal and customer-facing processes.
In this video, we give an update on just a few of the many new features that have been added to Hazelcast Cloud Enterprise since it was launched earlier this year.
How a leading retailer leveraged open source in-memory technologies to accelerate financial applications
Hazelcast adds in-memory speeds to your applications, and includes capabilities that allow running multiple clusters on different IaaS and PaaS systems, while ensuring data across all clusters remains consistent and in sync. This walks through one such example of a multi-cloud deployment with Hazelcast.
This guide explains how to set up Hazelcast for hybrid and multi-cloud replication running within an OpenShift cluster.
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