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https://github.com/klumw/copper-examples

Cloud native examples for copper workflow engine
https://github.com/klumw/copper-examples

business-workflow cloud cloud-native cloud-workflow copper copper-engine copper-gui docker high-performance kubernetes microservice monitoring rest-api time-series-analysis workflow workflow-engine workflow-management workflow-management-system

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Cloud native examples for copper workflow engine

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README 

        
# !!!This repository is no longer maintained!!!



Copper Cloud Examples

===============

Copper Cloud Examples shows you how to use the Copper Workflow Engine in a cloud native environment. 

  

Copper provides the following features:

- Open Source (commercial support available)

- Fully automated workflow execution

- High Performance/Load

- Auto-Recovery

- Cloud Ready

- Ease of use

- Multi node deployments

- Integration into existing Java environment

- Good Operational Insight

- Easy to learn

- Small footprint



Copper doesn't feature a workflow modeler GUI.

Using graphical modelers for more than 10 years I don't think that this is a real disadvantage.  

Copper workflows are just plain Java files, something that any Java developer knows inside out.



A detailed description of Copper Workflow Engine can be found in the */docs* folder.



Example Projects

----------------

Copper Cloud Examples shows how Copper can be used in a cloud/microservice environment.

A lightweight JEE server and a PostgreSQL database are used together with docker container support.    

In this setup copper-engine runs within a webapp that utilizes JPA, Pooling and Jersey REST support provided by a

payara micro server.



- ***copper-starter*** project is a simple setup to test some core functionalities. It has a simplistic workflow to show the basic 

working of Copper.



- ***copper-full*** project provides Copper-GUI and a REST based mock-server to run more realistic tests against copper-engine.



- ***copper-influxdb*** shows how to add a time-series database to collect metrics. 

In this example Chronograf GUI is used to visualize the metrics.



- ***copper-prometheus*** shows how to add the prometheus time-series database to collect metrics.

In this example Grafana GUI is used to visualize the metrics.



- ***copper-kubernetes*** shows Copper running on a Kubernetes cluster. 



Documentation

-------------

To get an overview of Copper Engine and Copper GUI you should first read the document **Copper-Cloud-Examples.pdf** in the

*docs* folder.

Detailed project instructions can be found in the README files under the corresponding project dirs.



Limitations

-----------

Workflow files are already compiled and read from the classpath. Therefore, the 'on the fly

compilation' feature is not available. Workflow source code in Copper-GUI is not available.   



Prerequisites

------------- 

A working docker installation together with docker-compose is needed for execution.

For projects with Java files JDK 8 or higher is needed. 

All command specific instructions are for linux based systems.

 

Testing

------

You can immediately start tests from your local browser with a preconfigured test url. 

***See also instructions in the README files in the corresponding project dir***.   

Log output is send to stdout. 



Building Docker Images

----------------------

To create customized docker images run a docker build with the **Dockerfile** under the corresponding project dir. 



Warning

-------

Examples in this repo are for exploration only and are **NOT** production ready. 

Especially security settings and passwords are not set for some resources.  



License

-------

All material released in this repo is licensed under the Apache 2.0 license.  

You can find more information about Apache 2.0 license at https://www.apache.org/licenses/LICENSE-2.0.



Resources

---------

More information about the copper workflow engine can be found at:  

https://github.com/copper-engine   

https://copper-engine.org/



The Copper PostgreSQL Tool CPT for managing Copper Engine databases can be found at https://github.com/klumw/cpt