SUMMARIZATION
Monthly Reliability Board Summary from Honeycomb + Datadog
Once a month, blends Honeycomb trace/SLO data with Datadog uptime metrics into a single executive reliability summary and emails it as a board-ready brief.
How it runs
The automated pipeline, trigger to output.
- TriggerFirst-business-day monthly schedule
- ActionPull 30-day SLO burn + slow traces from HoneycombHoneycomb
- ActionPull availability + incident counts from DatadogDatadog
- LogicReconcile trace vs metric reliability, flag mismatches
- ActionWrite board-ready reliability brief with risk outlookOpenAI
- OutputEmail brief to leadership distribution listGmail
What it does
Produces a monthly, board-level reliability summary by combining two sources: Honeycomb for trace-derived SLO burn and latency outliers, and Datadog for top-line availability and incident counts. The output is a concise narrative in business language — overall availability, budget consumed across the month, notable incidents, and a forward-looking risk note.
When to use it
Run it ahead of monthly board prep or a leadership review when someone needs a defensible reliability story stitched from more than one tool. It removes the manual screenshot-and-paste cycle of building the slide every month.
How it works
- 1A monthly schedule fires on the first business day.
- 2It pulls trailing-30-day SLO burn and slow-trace summaries from Honeycomb.
- 3It pulls availability percentage and incident counts from Datadog for the same window.
- 4A logic step reconciles the two — flagging any disagreement between trace-based and metric-based reliability.
- 5An LLM step writes the board-ready brief with a risk outlook.
- 6The brief is emailed to the leadership distribution list.
Set it up
What you configure once, before turning it on.
- 1Connect HoneycombDistributed traces and queries.
- 2Connect DatadogMetrics, traces, log search.
- 3Connect OpenAIModels, embeddings, files.
- 4Connect GmailRead, draft, send, label.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.
Run this workflow in your colony.
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