I do lots of work with Kafka Connect, almost entirely in Distributed mode—even just with 1 node -> makes scaling out much easier when/if needed. Because I’m using Distributed mode, I use the Kafka Connect REST API to configure and manage it. Whilst others might use GUI REST tools like Postman etc, I tend to just use the commandline. Here are some useful snippets that I use all the time.

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Grafana API Reference Export all Grafana data sources to data_sources folder mkdir -p data_sources && curl -s "http://localhost:3000/api/datasources" -u admin:admin|jq -c -M '.[]'|split -l 1 - data_sources/ This exports each data source to a separate JSON file in the data_sources folder. Load data sources back in from folder This submits every file that exists in the data_sources folder to Grafana as a new data source definition. for i in data_sources/*; do \ curl -X "POST" "http://localhost:3000/api/datasources" \ -H "Content-Type: application/json" \ --user admin:admin \ --data-binary @$i done

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InfluxDB is a great time series database, that’s recently been rebranded as part of the “TICK” stack, including data collectors, visualisation, and ETL/Alerting. I’ve yet to really look at the other components, but InfluxDB alone works just great with my favourite visualisation/analysis tool for time series metrics, Grafana. Getting data into InfluxDB is easy, with many tools supporting the native InfluxDB line input protocol, and those that don’t often supporting the carbon protocol (from Graphite), which InfluxDB also supports (along with others).

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