Get Started

Get Started

These guides demonstrate the operational flexibility and speed of the Hazelcast In-Memory Computing Platform. Set-up in seconds, data in microseconds. Operations and developer friendly.

Hazelcast IMDG

Find out for yourself how to get a Hazelcast IMDG cluster up and running. In this Getting Started guide you’ll learn how to:

  • Create a Cluster of 3 Members.
  • Start the 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 the automatic rebalancing of data and back-ups.

Hazelcast Jet

Learn how to run a distributed data stream processing pipeline in Java. In this Getting Started guide you’ll learn how to:

  • Start a Hazelcast Jet cluster in your JVM.
  • Build the Word Count application.
  • Execute the application wit Jet.
  • Push testing data to the cluster and explore results

As a next step, you will be able explore the code samples and extend your setup more features and connectors.

Resources

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Ensuring Meaningful Scientific Research Data from Space – Hazelcast and Airbus

Case Study

This case study on how Airbus Defence and Space uses Hazelcast is a great example of how ease-of-use goes a long way in helping engineers build critical systems for large-scale initiatives.

Blue/Green Deployments and Auto DR Failover

White Paper

Blue/green deployment refers to a software technique that can be used to reduce or even eliminate systems downtime and its associated business risk by deploying two mirrored production environments referred to as Blue and Green. This white paper will walk you through these deployments, the features, and several use cases.

Tech Talk: Distributed Systems – The bare minimum for building reliable applications

Webinar
| Video
| 60 minutes

This talk gives you a gentle introduction into consistency models and will help you with reasoning about trade-offs.

Streaming in a World of Legacy Applications

Video
| Video

There are common themes when people describe their reasons for rearchitecting legacy business applications, at a technical level: Speed & Scalability. At a business level: The need to gain new insights flowing from an increasing stream of data. These legacy applications commonly centre around some central datastore such as a relational database.  Moving away from this architecture requires massive migration effort. The costs and risks associated with such an effort can sometimes be prohibitive for business owners, you can’t just rip out your relational database.

Hazelcast Jet Datasheet

Datasheet
| PDF
| 4 pages

Hazelcast Jet® is an application embeddable, distributed computing platform for fast processing of big data sets. The Hazelcast Jet architecture is high performance and low latency driven, based on a parallel, streaming core engine which enables data-intensive applications to operate at near real-time speeds. Hazelcast Jet is built on top of Hazelcast IMDG®, the leading open source in-memory data grid with tens of thousands of installed clusters. Hazelcast Jet processing jobs take full advantage of the distributed in-memory data structures provided by Hazelcast IMDG

Stream Processing: Instant Insight Into Data As It Flows

e-Book
| PDF
| 14 pages

Read this e-book from RTInsights to get an overview of stream processing, including the popular use cases and what to plan for.

Ensuring Meaningful Scientific Research Data from Space

Case Study
| PDF

This case study on how Airbus Defence and Space uses Hazelcast is a great example of how ease-of-use goes a long way in helping engineers build critical systems for large-scale initiatives.

Spotlight on Stream Processing and Machine Learning

Video
| Video

David Brimley, Financial Services Industry Consultant, Hazelcast, speaks to FinextraTV about what financial services firms are doing with machine learning and what firms should consider as they progress through their machine learning journey. He explains how streaming data fits in financial services, how firms can ease into streaming without going through a complete re-architecture of their systems and how financial services technologists need to keep an eye on developments in In-memory computing, Cloud and Containerization."

The Imminent Collision of Open Banking and Instant Payments

Webinar
| Video
| 60 minutes

Listen to this on-demand webinar hosted by Finextra, as industry experts discuss the imminent collision of open banking and instant payments. As the payments industry evolves, problems and pressures created by the need for end-to-end security and fraud risks has an impact on the speed of processing. At the same time, increased commerce, a culture of instant gratification, and the digitalization of services, as well as the increasing convergence on the mobile, means speed is of the essence.

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