Case Study: Astronomer shapes and controls observability data, cutting costs by over 85% with Chronosphere
Key results
The challenge
Astronomer's platform generated an enormous volume of observability data, and the team needed to keep that data useful for rapidly detecting and resolving incidents without letting costs grow unchecked. The challenge was to retain the signals that mattered while removing the noise.
The solution
Astronomer adopted Chronosphere's Observability Platform and used its ability to shape and filter data on ingest, prioritizing the metrics the team knew would be important. Quick alerts to potential incidents let the team find and fix root causes before customers were affected.
“Chronosphere allowed us to not only deal with the huge amount of data we were producing, but also to be able to shape that data on ingest and pick and choose the data we knew would be important. This means we could reduce our costs by over 85%”
SBStuart BuckinghamManager of Customer Reliability Engineering Team, Astronomer
The results, in context
By shaping data at ingest and picking only the data it needed, Astronomer reported reducing its observability costs by over 85% while still handling the large volume of data its platform produced.