Get Started

Get Started

These guides demonstrate how to get started quickly with Hazelcast IMDG and Hazelcast Jet.

Hazelcast IMDG

Learn how to store and retrieve data from a distributed key-value store using Hazelcast IMDG. In this guide you’ll learn how to:

  • Create a cluster of 3 members.
  • Start Hazelcast Management Center
  • Add data to the cluster using a sample client in the language of your choice
  • Add and remove some cluster members to demonstrate data balancing capabilities of Hazelcast

Hazelcast Jet

Learn how to build a distributed data processing pipeline in Java using Hazelcast Jet. In this guide you’ll learn how to:

  • Install Hazelcast Jet and form a cluster on your computer
  • Build a simple pipeline that receives a stream of data, does some calculations and outputs some results
  • Submit the pipeline as a job to the cluster and observe the results
  • Scale the cluster up and down while the job is still running

Migrating eXtreme Scale Capabilities to the Cloud

White Paper

In-Memory Data Grid and Stream Processing for IBM Cloud Paks

IBM customers working on application modernization projects from on-premises installations to cloud architectures will need the infrastructure to take advantage of cloud-native capabilities. IBM Cloud Paks are software stacks that help businesses deploy enterprise systems into any cloud environment. The Cloud Paks are built on Red Hat OpenShift, Kubernetes, containers, and supporting software to run enterprise applications.

However, customers using IBM eXtreme Scale on-premises will need an alternative in-memory technology, as eXtreme Scale does not support cloud environments using Kubernetes and containers. Read this paper to see how Hazelcast delivers in-memory speeds to applications built on IBM Cloud Paks.

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