Using APM: Datadog, New Relic, Prometheus to monitor API

Last edited:

Igor Ivanov

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May 25, 2025

Using APM (Datadog, New Relic, Prometheus)

When the API becomes a critical part of business processes, it is important not only to fix errors, but to see a complete picture of system performance, load and behavior. We integrate APM (Application Performance Monitoring) solutions - such as Datadog, New Relic, Prometheus + Grafana - so you can track every delay, every load peak and every point of failure.

With APM, you get granular metrics, call tracing, real-time service monitoring and alerts, allowing you to react quickly and scale without loss.

What can be monitored via APM

Component	What's being tracked
API Metrics	Response time, number of calls, error codes, payload volumes
Service performance	CPU, Memory, Network Latency
Request tracing	Full microservices query path
Errors and exceptions	Frequency, sources, stack trace, percentage of failed calls
Alerts and events	Custom notifications for crashes, peak delays, unavailability

Technical implementation

Connecting agents or SDKs to your application/infrastructure

Integration with REST API and queues (Kafka, RabbitMQ, Redis)
Displaying data in Grafana, Datadog dashboards, New Relic UI
Support for exporting metrics to third-party services and log-store
Notifications in Slack, Telegram, Email, PagerDuty

APM Benefits for API Platform

Real-time incident response

Deep performance and bottleneck analysis
Ability to predict peak loads and scale ahead
Improve reliability, SLAs, and customer trust
Centralized control of the entire architecture - from API to database

Where especially relevant

High-load iGaming or financial platforms

Microservice and event-driven architectures
Products with a large number of API integrations and external calls
SLA-centric infrastructure, scale and transparency

APM is a tool that allows you not only to monitor, but to understand how your API works. With Datadog, New Relic or Prometheus, you get control, crash warning and confidence in the scalability of your platform.