Cloud SLO Scorecard Weekly
Weekly: collect cloud service health metrics; calculate uptime/latency vs. SLO targets; highlight violations and improvement trends.
Overview
**What it does**: Weekly schedule → query cloud monitoring for all service runs in past 7 days (AWS CloudWatch, GCP Cloud Monitoring) → code calculates per-service availability (% of time available) and latency (p99) vs. SLO targets (default 99.9% availability, <500ms p99) → LLM generates scorecard (avg availability %, services meeting target, violations, trend since last week) → Slack to #platform-alerts with scorecard. **Setup (4 steps)**: 1. Connect cloud monitoring: AWS CloudWatch, GCP Cloud Monitoring (credentials) 2. Set SLO targets: per-service availability (default 99.9%) and latency (default p99 <500ms) 3. Configure Slack channel: #platform-alerts 4. Test: fetch last week manually; verify scorecard format **Apps/nodes**: Schedule, HTTP request (monitoring API), code node (SLO calculation), Claude/OpenAI (scorecard), Slack. **Credentials required**: Cloud monitoring API credentials, OpenAI account, Slack workspace. **Difficulty**: Medium | **Setup time**: 8 minutes. **Business outcome**: Service reliability ↑ visible, SLO violations caught weekly (not month-end), team accountability ↑, continuous improvement ↑.
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.
Frequently Asked Questions
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