Hazelcast Cloud is an enterprise-grade in-memory computing platform deployed and managed by the Hazelcast CloudOps team. The service
is powered by Hazelcast IMDG Enterprise HD and leverages widely adopted technologies, such as Docker and Kubernetes, to provide dynamic orchestration and containerization. Hazelcast Cloud supports applications developed in some of the most common languages, including Java, Node.js, Python. Go, and .NET.
Hazelcast Cloud delivers enterprise-grade Hazelcast software in the cloud, deployed as a fully managed service. Leveraging over a decade of experience and best practices, Hazelcast Cloud delivers a high-throughput, low-latency service that scales to your needs while remaining simple to deploy. If you’re considering moving to the Cloud, or are looking for an easy ramp on deploying in-memory technology, this white paper on migrating in-memory to the cloud is an informative and helpful resource.
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!
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industry’s leading in-memory computing platform.
The in-memory speed you count on, with the convenience and scalability of cloud.
Test Hazelcast for your specific hardware, OS, Java version, network configuration, Hazelcast configuration, feature use and load characteristics. Hazelcast Simulator can be run on-premise, on Amazon EC2 and on Google Compute Engine.
You can test Hazelcast IMDG for real-life production problems like network problems, overloaded CPU and failing nodes. It also provides a benchmarking and performance-testing platform. Finally it integrates with various out-of-the-box profilers.
Hazelcast IMDG Simulator lets you:
Click to copy, then paste the following snippets into your build:
<name>Hazelcast Private Repository</name>
Pull hazelcast docker image from Docker registry via this command:
docker pull hazelcast/hazelcast-jet-enterprise
docker run -e JET_LICENSE_KEY=<your_license_key> -ti hazelcast/hazelcast-jet-enterprise
After that you should be able to run Hazelcast docker image by:
docker run -ti hazelcast/hazelcast-jet
Install Hazelcast from the official Helm Chart via this command:
helm repo add hazelcast https://hazelcast.github.io/charts/
helm repo update
helm install --set image.tag=3.1 hazelcast/hazelcast-jet-enterprise
Download includes Jet Management Center JAR file and reference manual.
docker pull hazelcast/hazelcast-jet-management-center
docker run -p 8081:8081 -ti hazelcast/hazelcast-jet-management-center
Hazelcast IMDG clients and programming language APIs allow you to extend the benefits of operational in-memory computing to applications in these languages. All of these clients and APIs are open source and all except the Scala client are supported by Hazelcast.