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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Spring Boot Tomcat Session Replication on Kubernetes Using Hazelcast

by Alparslan Avci | April 14, 2020

Spring Boot is a framework that helps to build microservices easily. In the Java ecosystem, it’s one of the most preferred ways of building microservices as of now. In a microservice architecture, there are different options to share data among the running services: one of them is caching, which Spring Boot leverages. It also provides […]

Upgrading to Jet 4.0

Hazelcast Community
by Hazelcast Community | April 10, 2020

As we have announced earlier, Jet 4.0 is out! In this blog post, we aim to give you the lower-level details needed for migrating from older versions. Jet 4.0 is a major version release. According to the semantic versioning, we apply, this means that in version 4.0 some of the API has changed in a […]

Top 5 Scenarios for Blue/Green Deployments

by Burak Celebi | April 08, 2020

In the first blog post, I explained the Blue/Green Deployments feature of Hazelcast IMDG Enterprise in general. Now, it is time to go through the top 5 scenarios where you can benefit this feature from. When using these features, it may be necessary to copy data or synchronize data from one cluster to the other. […]

Securing Hazelcast with Cert-Manager

Rafal Leszko
by Rafal Leszko | April 06, 2020

Cert-Manager became a standard way for issuing and rotating certificates in Kubernetes and OpenShift environments. Simple to install. Simple to use. Well integrated with Vault and other secret managers. No surprise it’s the way to go if you want to set up secure communication between your applications! In this blog post, I show how to […]

Introduction to Blue/Green Deployments with Hazelcast IMDG

by Burak Celebi | April 02, 2020

This is the first blog post for Hazelcast IMDG’s Blue/Green Deployments feature, which is the most recent member of the Enterprise edition.  “Blue/Green deployment” refers to a software technique used to reduce or even eliminate system downtime and the associated business risk by deploying two mirrored production environments referred to as “Blue” and “Green”.  In […]

Tech Talk Series

Vladimir Schreiner
by Vladimir Schreiner | April 01, 2020

Virtual meetups with Hazelcast covering data streaming and in-memory computing topics.

Getting Started with Hazelcast Cloud Enterprise

Mike Yawn
by Mike Yawn | March 31, 2020

Hazelcast Cloud Enterprise is the new cloud-native managed service that allows you to quickly set up a cluster of Hazelcast IMDG nodes in a public cloud (Amazon Web Services today, with Google GCP and Microsoft Azure coming later this year), and have that cluster fully managed for you by Hazelcast. Setting up the cluster requires […]

Jet Calculates Pi Using Python

Neil Stevenson
by Neil Stevenson | March 14, 2020

Today is PI DAY! Obviously, Pi has rather more than 2 decimal places. To have some fun, let’s use Jet to drive multiple Python workers to calculate Pi with increasing accuracy. A tiny bit of mathematics Pi is the ratio of a circle’s radius to its circumference. It’s 3.14. It’s 3.1416. It’s 3.14159266 or whatever. It […]

Machine Learning Inference at Scale

Vladimir Schreiner
by Vladimir Schreiner | March 10, 2020

Machine learning projects can be split into two phases: Training Inference During the training phase, data science teams have to obtain, analyze and understand available data and generalize it into a mathematical model. The model uses the features of the sample data to reason about data it has never seen. Although it can be completely […]

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