Honeycomb Volume Sampling Advisor

Analyzes weekly Honeycomb ingest volume across your datasets, finds the ones driving the most events (and therefore cost), and recommends specific sampling rates for low-value high-volume traffic. It turns the recommendations into a Linear ticket so the change is owned, reviewed, and tracked rather than lost in a chat thread.

Use it when Honeycomb event volume keeps climbing and you suspect chatty, low-signal datasets are inflating the bill. Good for teams that want a standing weekly nudge toward right-sized sampling without manually auditing every dataset.

1. 1A weekly schedule kicks off the review.
2. 2The agent queries Honeycomb for per-dataset event counts over the last 7 days and compares to the trailing average.
3. 3A logic step flags datasets whose volume and growth exceed thresholds and whose query/usage signal is low.
4. 4The agent calculates a recommended sampling rate per flagged dataset and the estimated volume reduction.
5. 5It writes a Linear ticket with the dataset list, proposed rates, and projected savings, assigned to the owning team.