DEVOPS
Daily Latency Percentile Trend to Notion Capacity Brief
Each morning this workflow pulls 24-hour p50/p95/p99 trends from Honeycomb, compares them against the previous week.
How it runs
The automated pipeline, trigger to output.
- TriggerDaily scheduled run
- ActionQuery Honeycomb 24h and trailing-week percentiles per serviceHoneycomb
- LogicClassify each service by percentile drift and headroom
- ActionFormat per-service capacity brief with recommendations
- OutputWrite dated capacity brief to Notion databaseNotion
What it does
Runs on a daily schedule, fetches the last 24 hours of p50/p95/p99 latency per service from Honeycomb, compares the percentiles against the trailing-week baseline, and publishes a capacity brief to Notion. Each service gets a clear verdict: scale up, hold, or scale down, with the percentile drift that justifies it.
When to use it
Use it for proactive weekly capacity planning instead of reactive firefighting. It surfaces slow latency creep that never trips an alert but signals you are running out of headroom or over-provisioned.
How it works
- 1A scheduled trigger runs every morning.
- 2The flow queries Honeycomb for 24-hour and trailing-week p50/p95/p99 per service.
- 3A logic step classifies each service by percentile drift versus baseline and headroom thresholds.
- 4It formats a per-service capacity brief with recommendations and trend deltas.
- 5It writes or updates the brief as a dated page in the Notion capacity database.
Set it up
What you configure once, before turning it on.
- 1Connect HoneycombDistributed traces and queries.
- 2Connect NotionPages, databases, comments.
- 3Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 4Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 5Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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