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Getting started with Cafienne

This repository enables you to quickly setup a Cafienne Demo environment with Docker.

Prerequisites

The Cafienne Demo environment consists of a set of Docker images. Make sure you have a running Docker instance available on your system.

Furthermore you need to have access to the Cafienne getting-started repository in Github.

Please contact info@cafienne.io to arrange the proper access. Before contacting Cafienne make sure to have a Github account.

Downloading and starting the environment

Next clone this repository from GitHub by running the following command in a terminal:

# this step puts the code onto your system
git clone https://github.com/cafienne/getting-started.git

# go into the directory that holds the code
cd ./getting-started

# tell Docker to spin up the environment - this may take a while the first time you do it
docker-compose up

This setup is the most default version. This version runs with an in-memory database, which means that whenever you start it, it starts with a blank completely blank environment. Alternatives with e.g. PostgreSQL or Microsoft SQL Server are documented at the docker configuration.

Exposed URLs of the Cafienne Demo environment

After starting up the Cafienne Demo environment, the following URL allow you to access the various parts of the environment:

Building and deploying a CMMN model

Creating a model

The Cafienne IDE can be accessed via http://localhost:2081. In this environment, you can create new CMMN models and deploy them to the engine.

Deploy existing models to the demo enviroment

When you already have existing models built by the Cafienne IDE, you can simply deploy them to this environment by copying the build CMMN model XML file to the deployments/definitions folder in this repository. The Cafienne Demo environment picks up any valid model that is stored in this folder.

Help

If you need help or encounter issues, you can search the existing repository issues or directly create a new issue.

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An easy way to get started with Cafienne - through Docker

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