Monitoring as Code vs. AI-Native Monitoring
Compare Checkly's Monitoring as Code (MaC) with supaguard's AI-Native approach. Learn which strategy is better for your team's reliability and developer experience.
In the world of synthetic monitoring, two primary philosophies have emerged: Monitoring as Code (MaC) and AI-Native Monitoring. While both aim to bring software engineering best practices to reliability, they take different paths to get there.
What is Monitoring as Code (MaC)?
Popularized by platforms like Checkly, Monitoring as Code treats your monitoring configuration just like your application code.
- Codified: You write JavaScript or TypeScript (usually Playwright) to define your checks.
- Version Controlled: Your monitors live in your Git repository.
- CI/CD Integrated: Changes to monitors are reviewed and deployed via your standard pipeline.
The Benefits of MaC
- Consistency: The same tool (Playwright) is used for testing and monitoring.
- Auditability: You can see exactly when a check was changed and by whom.
- Automation: Great for teams with deep Playwright expertise who want full control.
The Hidden Costs of MaC
- Maintenance Overhead: Every UI change requires a manual script update.
- High Barrier to Entry: Non-developers or those unfamiliar with Playwright struggle to contribute.
- Script Fragility: Brittle selectors lead to flaky tests that require constant tuning.
What is AI-Native Monitoring?
supaguard represents the AI-Native approach. Instead of forcing you to write every line of code manually, we use AI to handle the heavy lifting while still giving you the power of standard Playwright.
- AI-Generated: Describe a flow ("Log in and check the profile"), and our AI agent generates the Playwright script.
- Reviewer AI: Our AI doesn't just run the test; it understands the result, distinguishing between a transient network blip and a true UI breakage.
- Self-Healing Intent: When your UI changes, our AI can often adapt the script automatically by understanding the intent of the test rather than just the selectors.
The Benefits of AI-Native
- Drastic Maintenance Reduction: AI-assisted updates mean you spend less time fixing broken monitors.
- Lower Barrier to Entry: Product managers and QA leads can create complex monitors without deep coding knowledge.
- "Zero-Noise" Intelligence: Multi-region teleportation and AI classification mean you only wake up for real issues.
Side-by-Side Comparison
| Feature | Monitoring as Code (Checkly) | AI-Native Monitoring (supaguard) |
|---|---|---|
| Test Creation | Manual Scripting | AI-Generated + Manual |
| Maintenance | Manual Updates | AI-Assisted Self-Healing |
| Engine | Playwright | Playwright |
| Alerting | Temporal Retries | Multi-Region Teleportation |
| Target Audience | Developers Only | Engineering, QA, & Product |
| Seat Pricing | Often Per-User | Unlimited Seats |
Which is Right for You?
Choose Monitoring as Code if:
- You have a very small, developer-only team.
- You want absolute, granular control over every single line of the test execution.
- You have already heavily invested in a custom MaC framework that you want to maintain.
Choose AI-Native Monitoring if:
- You want to reduce the "Monitoring Tax" on your developers.
- You need a tool that the entire team (QA, Product, Dev) can use.
- You are tired of "flaky" alerts and want multi-region verification out of the box.
- You value unlimited seats to foster a culture of shared reliability.
Ready to go AI-Native?
Global Monitoring Network
Understand supaguard's high-performance monitoring network across India, Europe, and the US. Learn how our multi-region footprint ensures 100% alert accuracy.
Multi-Region Verification (Smart Retries)
Eliminate false alarms with supaguard's Multi-Region Verification. Learn how our 'instant teleportation' protocol confirms real outages before alerting your team.