Error Budget Burn Alert
Hourly check: if error budget burn rate exceeds 50%, escalate to the on-call engineer with burn %, incident rate, and time to exhaustion.
Overview
**What it does**: Hourly schedule → HTTP request to SLO endpoint (Datadog, Prometheus, custom) → fetch error budget burn % → IF burn > 50% → LLM calculates: days until exhaust, incident count in window, remediation urgency → Slack to #incidents with red alert. IF healthy → silent check. **Setup (5 steps)**: 1. Configure SLO endpoint: Datadog SLO API, Prometheus alert queries, or custom endpoint 2. Set SLO target: e.g., 99.95% availability = 21.6 min error budget/month 3. Set burn threshold: default 50% (alert if burning 2x expected rate) 4. Configure Slack channel: #incidents 5. Test: run query manually to verify SLO data flows; test threshold trigger **Apps/nodes**: Schedule trigger, HTTP request (SLO API), IF condition, OpenAI (LLM analysis), Slack. **Credentials required**: Monitoring platform API key (Datadog, Prometheus, etc.), OpenAI account, Slack workspace. **Difficulty**: Medium | **Setup time**: 8 minutes. **Business outcome**: Catch SLO violations early (not at month-end surprise) → incident response ↑ proactive, team confidence ↑ (explicit error budget), release velocity ↑ (clear risk envelope).
What's included
Quickstart
- 01
Download the JSON
With an active Library Pass, download the workflow file right from this page or your dashboard.
- 02
Import into n8n
Choose Import from File and select the downloaded JSON. The full agent graph appears, ready to configure.
- 03
Plug in credentials
Each integration node prompts for credentials on first run. The setup guide lists every credential the agent expects.
- 04
Activate and test
Run once with sample input, confirm the expected output, then flip the activate toggle.
Frequently Asked Questions
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