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.
This guide highlights best practices in running Hazelcast IMDG® applications on Amazon Elastic Compute Cloud (EC2). EC2 is a central part of Amazon.com’s cloud computing platform, Amazon Web Services (AWS). This guide provides an overview of the terminology and high-level architecture of AWS. It offers guidance for a smooth deployment of Hazelcast on EC2 while explaining some of the high availability options on EC2. Hazelcast® is a high performance application and is dependent on consistent network behavior. Ready to maximize performance on the EC2 platform? Download this guide and learn how.
This guide is for cloud architects and developers preparing an application utilizing Hazelcast to be deployed from a physical environment to a virtualized cloud environment, namely EC2.
Hazelcast AWS cloud module helps Hazelcast cluster members discover each other and form the cluster on AWS.
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