API performance is not only availability, but also responsiveness and stability under load. We collect and visualize key API metrics: response time, number of calls, errors, distribution by methods and users. This helps track the effectiveness of integrations, predict load, and improve system scalability.
All metrics can be exported to APM, graphical dashboards (Grafana, Datadog, New Relic) or analyzed directly through the API.
What metrics are tracked
| Metrics | Which shows |
|---|---|
| Response time | Average, minimum, and peak API response times |
| Number of Requests (RPS) | Requests per second/minute/hour, total calls |
| Errors (error rate) | Percentage of requests with codes 4xx and 5xx |
| Methods and endpoints | Busiest Routes and Actions |
| Source of requests | IP, token, geography, application or service that originated the call |
How it is implemented
Integration with Prometheus, Grafana, Datadog, New Relic
Automatic aggregation of metrics based on middleware
Tracking by token, user, endpoint and API version
Visualization of graphs, histograms and alerts
Configure notifications when time or load thresholds are exceeded
Team and business benefits
Understanding Where API Is Slow
Ability to optimize specific methods or threads
Reasonable scaling planning
Quickly diagnose performance issues
Monitoring the behavior of external integrators and customers
Where especially important
Products with high load and SLA restrictions
Financial, gaming and e-commerce platforms
Infrastructure with external API partners
Mobile and SPA applications that are sensitive to API speed
Metrics are a mirror of the stability and speed of your API. We will provide tools to monitor every millisecond response, every hundred calls and every anomaly in the behavior of your services.