Metrics by response time, number of requests

Metrics by response time, number of requests

API performance is not only availability, but also response speed and load stability. We implement the collection and visualization of key API metrics: response time, number of calls, errors, distribution by methods and users. This helps track the efficiency 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

Metric	What shows
Response time	Average, minimum, and peak API response times
Number of Requests (RPS)	Requests per Second/Minute/Hour, Total Calls
Error rate	Percentage of requests with codes 4xx and 5xx
Methods and endpoints	Busiest Routes and Actions
Request source	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.