Ceris Integration Runtime

Open-source data integration runtime that helps you consolidate your data
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Table of Contents

1. About The Project
   • Built With
2. Getting Started
   • Installation
3. Usage
4. Roadmap
5. Development
6. Contributing
7. License
8. Contact
9. Acknowledgments

About The Project

Ceris is an open-source data integration runtime that helps you consolidate your data in your data lake. Ceris provides a comprehensive UI for managing connectors and is based on Kafka Connect © .

####Features:

• single jar
• embedded kafka server, no cluster setup required
• install 150+ connectors from Confluent Hub©
• Extract & Load data from different sources to sinks
• Database replication
• Changed Data Capture CDC
• Cloud migration

Built With

• 
• 
• 

Getting Started

This is an example of how you can run ceris locally with some simple demo connectors.

Installation

Ceris runs on

• java
• or docker

1. Download the latest release
2. Run jar

   java -jar ceris-x.x.x.jar -Dceris.demo

3. Or run with docker

   docker run --name ceris -p 4567:4567 -e CERIS_DEMO=true eblaas/ceris

4. Login Ceris UI http://localhost:4567 (admin:admin)

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Usage

For more examples, please refer to the examples

Roadmap

• Enhanced Monitoring

See the open issues for a full list of proposed features (and known issues).

Development

Develop locally

• Run UI in develop mode http://localhost:4000

  cd ceris-ui
  npm install
  npm run serve

• Run backend

  cd ceris-agent
  ./mvnw clean package exec:java -DskipTests

Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

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License

Distributed under the Apache License 2. See LICENSE for more information.

Contact

Profile: https://github.com/eblaas

Acknowledgments

• Kafka
• Confluent
• Lenses

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