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

Hazelcast Engineering Blog

At Hazelcast we build open-source software for building distributed systems and data-intensive applications. Here we share some of the stuff we are currently building and anything else that we find interesting.


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How to set up Hazelcast on AWS ECS

Rafal Leszko
by Rafal Leszko | July 13, 2020

Hazelcast IMDG can be fairly simply configured to work on AWS ECS. This Blog Post presents this process step by step.

AWS Auto Scaling with Hazelcast

Rafal Leszko
by Rafal Leszko | July 01, 2020

Learn how to set up a Hazelcast cluster on AWS Auto Scaling group.

Announcing Quarkus Hazelcast Client Integration

Grzegorz Piwowarek
by Grzegorz Piwowarek | June 29, 2020

Today, we’re happy to announce the preview version of quarkus-hazelcast-client is publicly available and accessible via quarkus-platform and Quarkus is a modern Kubernetes-native application framework leveraging Docker and GraalVM which allows it to achieve impressive performance and resource utilization while maintaining portability. Quarkus Hazelcast Client extension makes it convenient to configure Hazelcast Client and […]

Hazelcast Helm Chart

Rafal Leszko
by Rafal Leszko | June 24, 2020

Learn how to use Hazelcast Helm Chart

Performance of Modern Java on Data-Heavy Workloads (Part 1)

Hazelcast Community
by Hazelcast Community | June 10, 2020

This post was written by Hazelcast software engineer Marko Topolnik and posted at The Java runtime has been evolving more rapidly in recent years and, after 15 years, we finally got a new default garbage collector: the G1. Two more GCs are on their way to production and are available as experimental features: Oracle’s […]

Getting Started with Hazelcast on Azure Kubernetes Service

Sharath Sahadevan
by Sharath Sahadevan | May 18, 2020

This blog shows you how you can install Hazelcast on Azure Kubernetes Service (AKS) and connect to the cluster using an Hazelcast client. It assumes some familiarity with Kubernetes , Azure and Azure Cloud shell. The goal of this blog is to keep things simple and show you the steps to get up and running […]

How Hazelcast Jet Compares to Apache Spark

Vladimir Schreiner
by Vladimir Schreiner | May 14, 2020

“How Jet compares to Spark” and “why should I choose Jet over Spark” are arguably the most frequent questions I’ve been asked during the talks and workshops. While it is hard to assess the product fit without focusing on a concrete use-case, I’d still like to compare concepts and architecture used under the hood of […]

Jet 4.1 is Released

Can Gencer
by Can Gencer | May 13, 2020

We are happy to present the new release of Hazelcast Jet 4.1. Here’s a quick overview of the new features. Extended gRPC Support We’ve applied the lessons learned from the Jet-Python integration and made it easier to integrate a Jet pipeline with gRPC services. The utility class GrpcServices introduces two new ServiceFactorys you can use with the mapUsingServiceAsync transform. Using this feature […]

Configuring Hazelcast in Non-Orchestrated Docker Environments

by Josef Cacek | April 23, 2020

Why? Our blog already contains numerous articles about running Hazelcast in containers, but they mainly focus on orchestrated platforms (Kubernetes, ECS, GCP, …). According to a 2018 Docker adoption report, half of the deployments did run in non-orchestrated environments 2 years ago. I didn’t find a similar report from 2020, but I expect the proportion […]

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