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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
An alternative to this approach, you could also write a template Dockerfile and then write some shell script that you would run locally to take that template and then write/generate Dockerfiles for each. Many of the official Docker images are setup and built this way. Here is an easy example of the nginx Docker image repository. https://github.com/nginxinc/docker-nginx It has three different templates in the root of the repository and has the update.sh script that is run to take those and write them out to a directory and essentially do a find and replace on the templates in the template. Those generated directories are then committed to the repository and pushed up to be built and published as Docker images.
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