Companies need a data-processing solution that increases the speed of business agility, not one that is complicated by too many technology requirements. This requires a system that delivers continuous/real-time data-processing capabilities for the new business reality.
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.
Setting up servers and configuring software can get in the way of the problems you are trying to solve. With Hazelcast Cloud we take all of those pain points away. Watch this webinar to learn how you can instantly fire up and then work with Hazelcast Cloud from anywhere in the world. With our auto-generated client stubs for Java, Go, Node.js, Python and .NET, we can have you connected and coding in less than a minute!
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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