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

Turbo-Charge Your Applications from z/OS to Edge to Multi-Cloud with In-Memory Computing

Webinar

December 2, 2020 @ 2:00pm PST / 5:00pm EST / 10:00pm GMT
60 minutes

Mainframe computers are used at many companies today, but the need for more cost-effectiveness is forcing changes. A popular strategy, mainframe optimization, enables lower mainframe costs due to the reduction in unnecessary MIPS. At the same time, it adds powerful new architectures related to cloud, microservices, and data streaming.

An integration with IBM and Hazelcast can provide a seamless fast data and compute plane that runs anywhere from z/OS, to edge, to multi-cloud, accelerating your applications. With microservices, serverless, and cloud-native applications, you can seamlessly interact with your core business systems running on z/OS. And you retain the same always-on zero downtime service levels you have come to expect from the Z Platform.

In this webinar, we will discuss new capabilities for your mainframe-centric environment, and also show a demonstration running across z/OS, and OpenShift in IBM Cloud.

Can’t attend the live times? You should still register! We’ll be sending out the recording after the webinar to all registrants.

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