AI AGENTS
Weekly Observability Savings Digest to Notion
Compiles a weekly digest of Honeycomb and Datadog cardinality offenders into a Notion page with ranked savings opportunities and tracks which past recommendations were adopted.
How it runs
The automated pipeline, trigger to output.
- TriggerWeekly schedule fires
- ActionCollect cardinality and volume offenders from Honeycomb and DatadogHoneycomb
- LogicEstimate savings, rank, and diff against last week
- ActionPull prior recommendations adoption statusDatadog
- OutputWrite ranked savings digest to NotionNotion
What it does
This agent produces a single weekly observability-cost review document in Notion. It pulls the top cardinality and volume offenders from both Honeycomb and Datadog, ranks them by estimated dollar savings, and writes a clean digest your team can read in a standup. It also checks whether last week's recommendations were acted on, so the page doubles as an adoption tracker.
When to use it
Use it when you want a recurring, human-readable cost review rather than scattered alerts, and you run your observability hygiene rituals out of Notion. Good for FinOps and platform leads who report savings progress upward.
How it works
- 1A weekly schedule starts the run.
- 2The agent collects top cardinality and high-volume series from Honeycomb and Datadog.
- 3It estimates per-item monthly savings and ranks the opportunities.
- 4A logic step compares this week's list to the prior digest to mark which earlier recommendations were resolved.
- 5It writes or updates a Notion page with the ranked opportunities, projected savings, and an adoption summary.
Set it up
What you configure once, before turning it on.
- 1Connect HoneycombDistributed traces and queries.
- 2Connect DatadogMetrics, traces, log search.
- 3Connect NotionPages, databases, comments.
- 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.
More AI Agents workflows
Custom Metrics Cardinality Spike Pager
A webhook from a Datadog monitor fires when custom-metric cardinality jumps; an agent pinpoints the offending metric and tag, estimates the added cost.
Sentry-to-Confluence Runbook Updater
When a Sentry issue is resolved, the agent finds the matching Confluence runbook page and proposes an inline update with the verified fix.
Stale Doc-PR Chaser for Runbook Gaps
On a daily schedule the agent finds runbook doc PRs that were opened from resolved incidents but never reviewed, summarizes what each one fixes.
Resolved Incident to Public Troubleshooting Doc
For customer-facing errors resolved in Sentry, the agent drafts a sanitized troubleshooting entry and opens a PR to your ReadMe documentation.
On-Call Runbook Gap Closer: Resolved Sentry Issues to Doc PRs
An agent reads each newly resolved Sentry issue, compares the actual fix against your existing runbook, and opens a GitHub PR adding the missing remediation steps.
Weekly On-Call Doc-Gap Digest
Each week the agent reviews every Sentry issue resolved in the last 7 days, ranks the ones whose runbook coverage is missing or thin.
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.
14-day trial. No DevOps. No Sales call. Provisioned in under a minute.