Automated API Monitoring & Status Page

Automated API monitoring is useful not only for detecting failures, but also for communicating service health to API consumers. Pairing scheduled API checks with a public or internal status page creates a simple feedback loop: monitor the endpoints, record the results, and surface availability information in a place users can see.

There are many ways to build this type of solution. The architecture below combines several established tools into a lightweight monitoring pipeline.

Architecture

The proposed workflow is:

1. Build API monitoring scripts and assertions with Postman.
2. Export or use collection data with the Postman collection.
3. Install the supporting components on an AWS EC2 instance:
   • Jenkins for scheduling and automation
   • Cachet for the status page
   • MariaDB for persistence
   • Newman for running Postman collections from the command line
4. Create a Jenkins job that executes the Postman collection through Newman.
5. Configure the Jenkins job to run on a recurring schedule.
6. During each run, the Postman tests invoke the configured API endpoints.
7. Capture useful health signals such as:
   • HTTP status code
   • response time
8. Publish the results to the status page through the Cachet API.
9. Configure AWS SES with Cachet when email notifications are required.

Why this pattern is useful

This design separates the main responsibilities of the monitoring system. Postman defines the checks, Newman executes them, Jenkins provides scheduling, and Cachet exposes the resulting service status. Each component can be changed independently as requirements evolve.

Takeaway

A useful API-monitoring solution does more than detect whether an endpoint is reachable. It turns repeated API checks into operational information that can be tracked over time and communicated to consumers through a status page.