Sharing an SQLite database across containers is surprisingly brilliant

• ctlstore

  3 259 5.9 Go

  Control Data Store

  

> it is only practical for situations where the write rate (<100/s total) and data volumes (<10GB total) are low.

This comment from the GitHub project page is pretty important. Configuration data often sees slow change, and isn't huge so a custom approach seems viable. I wonder how close they are to that 100/s ceiling.

There's also an unmentioned transition to eventual consistency happening here:

> The implications of this decoupling is that the data at each instance is usually slightly out-of-date (by 1-2 seconds).

> The reader API provides a way to fetch an approximate staleness measurement that is accurate to within ~5 seconds.

That's could lead to more complex application logic or risk of confusing users with stale behavior. No free lunch here.

[1] https://segment.com/blog/separating-our-data-and-control-pla...

[2] https://github.com/segmentio/ctlstore

• 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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