ENGINEERING
Compile a weekly slow-query latency digest to Confluence and Slack
Each week, aggregates the top latency outliers across services from Honeycomb, ranks them by total time spent.
How it runs
The automated pipeline, trigger to output.
- TriggerWeekly schedule fires Monday morning
- ActionQuery Honeycomb for top slow operations over 7 daysHoneycomb
- LogicRank by cumulative cost; compute week-over-week deltas
- ActionCreate or update Confluence perf digest pageConfluence
- OutputPost top-5 offenders and regressions to SlackSlack
What it does
Once a week it rolls up the most expensive slow spans across all monitored services from Honeycomb, ranks them by cumulative time cost and trend versus last week, and writes a clean Confluence page that anchors the team's perf review.
When to use it
When you run a recurring performance review and want a consistent, data-backed agenda instead of ad-hoc dashboard screenshots. Use it to track whether last week's offenders actually improved and to surface new regressions.
How it works
- 1A weekly schedule fires Monday morning.
- 2Query Honeycomb for the top slow operations per service over the last 7 days, with p50/p99 and total time.
- 3A logic step ranks offenders by cumulative latency cost and computes week-over-week deltas.
- 4Create or update a Confluence page with a ranked table, each row linking to a Honeycomb query.
- 5Post a Slack summary of the top 5 offenders and the biggest regressions with the Confluence link for the review.
Set it up
What you configure once, before turning it on.
- 1Connect HoneycombDistributed traces and queries.
- 2Connect ConfluenceSpaces, pages, blueprints.
- 3Connect SlackChannels, DMs, threads, mentions.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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