commit | 3d4c30cc4cd7642325531a4a0ac0fc693b879360 | [log] [tgz] |
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author | Philipp Zehnder <zehnder@fzi.de> | Thu Jun 28 23:35:47 2018 +0200 |
committer | Philipp Zehnder <zehnder@fzi.de> | Thu Jun 28 23:35:47 2018 +0200 |
tree | 87aa0e8af45cff218035f8b2e9ddcfdfed9a24a9 | |
parent | 1fc2533252a2c750f5cfa6daa98b554459eaee84 [diff] |
Added docker files
StreamPipes enables flexible modeling of stream processing pipelines by providing a graphical modeling editor on top of existing stream processing frameworks.
It leverages non-technical users to quickly define and execute processing pipelines based on an easily extensible toolbox of data sources, data processors and data sinks.
Learn more about StreamPipes at https://www.streampipes.org/
Read the full documentation at https://docs.streampipes.org
This project includes examples for StreamPipes data processors and data sinks that do not use a specific runtime such as Apache Flink but run directly on the JVM in a single-host manner. These components are suitable for processing event streams with rather low frequency (e.g., up to a few thousand events per second)
Currently, the following example pipeline elements are available:
Data Processors
Data Sinks
Currently, the StreamPipes core is available as a preview in form of ready-to-use Docker images.
It's easy to get started:
docker-compose.yml
file from https://www.github.com/streampipes/preview-dockerYou can easily add your own data streams, processors or sinks.
Check our developer guide at https://docs.streampipes.org/developer_guide/introduction
We'd love to hear your feedback! Contact us at mail.streampipes@gmail.com