There is no such thing as too much logging - or is there?

• dynamic-debug-logging

  4 4 3.4 Java

  Docker Compose PoC showing dynamic debug logging in the cloud using a structured logging framework.

  

I have a blog that talks about logging lots and I've got a proof of concept of dynamic debug logging that shows how you can have debug logging available on request without screwing operations out of their budget.

• escalating_logger

  2 1 0.0 Ruby

  Ruby Logger subclass that automatically increases/decreases verbosity

Speaking of changing verbosity at runtime, I created https://github.com/alexdglover/escalating_logger as a way for the verbosity to change automatically depending on how many errors are being logged. Hasn't seen production use anywhere, but wanted to share the idea in case it's useful

• InfluxDB

  www.influxdata.com featured

  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.

  

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