Write and publish SLO reports and error budget policy documentation via Datadog API

Steps

1. Retrieve SLO history data via GET /api/v1/slo/{slo_id}/history with from_ts and to_ts parameters set to a reporting period (e.g., last calendar month); the response includes overall_sli_value, sli_value (per timeframe), and error_budget fields.
2. Parse the error_budget.remaining field (expressed as a ratio or percentage depending on SLO type) to determine remaining budget; compute consumed budget as (1 - remaining) * total_budget_minutes for time-based or as a request count for event-based SLOs.
3. Pull SLO metadata (name, description, tags, thresholds) via GET /api/v1/slo to annotate the report with service context and ownership information; filter by tags (e.g., team:platform) to generate team-scoped reports.
4. Compose a structured report (e.g., JSON or Markdown) summarizing each SLO's compliance status, consumed error budget, number of incidents that impacted budget, and recommended action (none / reduce deployment frequency / initiate freeze) based on the error budget policy.
5. Post the report to a Slack channel, Confluence page, or send via email using your organization's notification tooling; optionally use the Datadog Events API to create a report-published event visible in the Datadog Events timeline for audit purposes.
6. Define an error budget policy document specifying what engineering actions are triggered at different budget consumption thresholds (e.g., 50% consumed = review deployment pipeline, 90% consumed = feature freeze, 100% consumed = incident review required); link this policy from the SLO description field.