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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.
With Hazelcast Enterprise, you get additional reliability and security capabilities on top of the open-source edition that makes it easier to maintain a production deployment on Hazelcast. Join us as we cover the leading technology trends today, the five main reasons to use Hazelcast Enterprise, and customer examples.
Add session replication to your Spring Boot applications to easily load balance and failover across application instances.
Use containerized in-memory technology to accelerate cloud applications. This video shows how to set up Hazelcast in AWS ECS.
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