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.
Hazelcast senior director of technical solutions, Dale Kim, will give an overview of what the Hazelcast Platform is all about.
The Hazelcast Platform offers many capabilities to run real-time, high-performance applications in public or private cloud environments. Scott McMahon, Technical Director at Hazelcast, will go into technical detail to describe how Hazelcast enables a cloud application strategy.
Neil Stevenson, Platform CTO at Hazelcast, will walk through a demonstration that shows how in-memory data sharing can be implemented in cloud-based microservices to achieve a significant performance boost in a developer-friendly way.
Hazelcast is an open source software platform that unifies transactional, operational and analytical workloads by combining stream processing with in-memory computing.
High performance in your microservices is often required, but not always easy to achieve. To get the most out of your microservices deployments, you need to make sure you have the right technologies in place. We'll show how the integration of distributed in-memory data platforms can support the elasticity, statefulness, and performance of advanced microservices and examples of microservices patterns using a popular open-source project.
In this episode, we show how Hazelcast data is partitioned to provide benefits such as greater scalability and concurrency.
Neil Stevenson provides a demo of the Hazelcast Platform in action.
CTO John DesJardins dives into the details of the Hazelcast Platform and initial use cases.
Hazelcast CEO Kelly Herrell and Morgan Stanley Executive Director Stephen Goldbaum chat about the potential benefits of the Hazelcast Platform within the financial services industry.
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