Cloud Availability SLO Monitor
Hourly check: if availability burn exceeds 50%, escalate with hours until SLO breach, affected services, and remediation steps.
Overview
**What it does**: Hourly schedule → query cloud provider health/status API (AWS CloudWatch, GCP Cloud Monitoring) for service availability metrics → compare vs. availability SLO targets (e.g., 99.9%) → IF burn > 50% → LLM calculates: hours until SLO breach, which services degraded, impact → Slack to #platform-alerts with alert. **Setup (5 steps)**: 1. Configure cloud monitoring: AWS CloudWatch, GCP Cloud Monitoring, Azure Monitor (API + credentials) 2. Set SLO targets: per-service (default 99.9%) 3. Set burn threshold: default 50% of monthly allowance 4. Configure Slack channel: #platform-alerts 5. Test: manually trigger service degradation; verify alert in Slack **Apps/nodes**: Schedule, HTTP request (monitoring API), code node (SLO math), Claude/OpenAI (analysis), Slack. **Credentials required**: Cloud monitoring API key, OpenAI account, Slack workspace. **Difficulty**: Medium | **Setup time**: 8 minutes. **Business outcome**: SLO violations caught proactively → availability ↑ predictable, customer trust ↑, incident response ↑ faster.
What's included
Inside this workflow
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.
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