How to Monitor PR Deploy Previews: Checkly vs supaguard
A head-to-head comparison of monitoring PR Deploy Previews using Checkly and supaguard. Discover the modern AI approach to synthetic testing.
Monitoring PR Deploy Previews is vital to your business. If it goes down, you lose revenue and trust. Let's compare how you would monitor PR Deploy Previews using Checkly versus supaguard.
The Checkly Approach
To monitor PR Deploy Previews in Checkly, you must:
- Open your IDE and initialize a new Playwright project.
- Write raw TypeScript code to navigate to the page and interact with the elements.
- Handle edge cases (like slow networks or cookie banners) manually in code.
- Deploy the code via Checkly CLI.
- Continuously update the code every time the PR Deploy Previews UI changes.
The result: You spend more time maintaining tests than fixing actual bugs.
The supaguard Approach
supaguard replaces the script with an AI Agent.
- Tell supaguard: "Navigate to the site and verify the PR Deploy Previews works."
- supaguard generates the optimal testing flow instantly.
- If the UI changes, supaguard's Sanctum AI automatically heals the test and continues monitoring.
Comparison Table
| Capability | Checkly | supaguard |
|---|---|---|
| Setup Time | Hours (Coding required) | Seconds (AI Generated) |
| Self-Healing | ❌ No | ✅ Yes |
| Maintenance | High (Manual updates) | Zero |
| Global Regions | Yes | Yes (20+ Regions) |
Conclusion
If you want to monitor PR Deploy Previews reliably without the engineering overhead of writing and maintaining Playwright code, supaguard is the clear winner.
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