Grafana: http://localhost:3000/ FastAPI: http://localhost:8000/ On the FastAPI, you can access /metrics endpoint to see the data Prometheus is scraping from it. Prometheus FastAPI Instrumentator · Generate and Track Metrics for Flask API Applications Using Prometheus and Grafana ·

August 21, 2025 - ... FastAPI Application (the-app): The Python application we want to monitor. We'll use the prometheus-fastapi-instrumentator library to automatically expose Prometheus-compatible metrics.

January 30, 2025 - With Prometheus now installed and configured in a Docker container, and your FastAPI app instrumented with Prometheus metrics, you are ready to move on to the next steps of integrating Grafana for visualization and analysis.astapi@db/hello_fastapi_dev depends_on: - db db: image: postgres:13.1-alpine volumes: - postgres_data:/var/lib/postgresql/data/ environment: - POSTGRES_USER=hello_fastapi - POSTGRES_PASSWORD=hello_fastapi - POSTGRES_DB=hello_fastapi_dev ports: - "5432:5432" prometheus: image: prom/prometheus container_name: prometheus ports: - 9090:9090 volumes: - ./prometheus_data/promethe

July 2, 2026 - This is a hands-on observability lab designed to learn how to monitor a FastAPI application using industry-standard tools: Prometheus for metrics collection and Grafana for visualization.

FastAPI dashboard for programs using FastAPI instrumented via prometheus_fastapi_instrumentator · FastAPI dashboard for programs using FastAPI instrumented via prometheus_fastapi_instrumentator · Collector type: Collector plugins: Revisions · Upload revision ·

August 16, 2025 - Grafana is that dashboard for your API. FastAPI doesn’t come with built-in monitoring, but thanks to the community, adding Prometheus support is easy. ... from fastapi import FastAPI from prometheus_fastapi_instrumentator import Instrumentator ...

May 14, 2026 - By indexing only metadata and ... is used to ship logs from containers to Loki. Grafana provides a visualization layer for correlating data from Prometheus and Loki....

May 19, 2026 - sudo useradd --no-create-home --shell /bin/false monitoring sudo mkdir -p /etc/prometheus /etc/grafana /var/lib/prometheus /var/lib/grafana sudo chown monitoring:monitoring /etc/prometheus /var/lib/prometheus sudo chown monitoring:monitoring /etc/grafana /var/lib/grafana · Install the required Python packages to add Prometheus metrics to your FastAPI application. pip3 install prometheus-client prometheus-fastapi-instrumentator uvicorn[standard]

October 1, 2024 - In this guide, we’ll walk through setting up monitoring for a FastAPI application using Prometheus and Grafana. We’ll use Docker Compose to bring up the entire stack: FastAPI, Prometheus, and Grafana. We’ll create a simple FastAPI app with one example endpoint. We’ll use the prometheus_fastapi_instrumentator to collect metrics.

December 18, 2023 - from prometheus_fastapi_instrumentator import Instrumentator Instrumentator().instrument(app).expose(app)

September 4, 2024 - instrumentator = Instrumentator().instrument(app) @app.on_event("startup") async def _startup(): instrumentator.expose(app) ... from fastapi import FastAPI from prometheus_fastapi_instrumentator import Instrumentator from prometheus_client import Counter import time app = FastAPI() instrumentator = Instrumentator().instrument(app) @app.on_event("startup") async def _startup(): instrumentator.expose(app) REQUEST_COUNT = Counter( 'app_request_count', 'Application Request Count', ['method', 'endpoint', 'http_status'] ) @app.get("/") async def root(): start_time = time.time() REQUEST_COUNT.labels('GET', '/', 200).inc() return {"message": "Hello World"}

January 14, 2026 - It asks your API every 15 seconds: "How many requests did you handle since the last time I asked?" Grafana connects to Prometheus and turns those raw numbers into graphs, gauges, and alerts.

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It begins with creating a simple FastAPI app and instrumenting it with prometheus_fastapi_instrumentator to collect metrics. The setup is orchestrated using Docker Compose, which defines services for FastAPI, Prometheus, and Grafana, ensuring they run concurrently.

May 22, 2026 - Layer responsibilities: FastAPI/LangChain routes requests and exposes its own latency metrics natively via prometheus_fastapi_instrumentator. Ollama does not — a small polling collector reads its per-request JSON timing fields and re-exposes them in Prometheus format. Prometheus scrapes both. Grafana renders the result.

It also features a modular approach to metrics that should instrument all FastAPI endpoints. You can either choose from a set of already existing metrics or create your own. And every metric function by itself can be configured as well. This chapter contains an example on the advanced usage of the Prometheus FastAPI Instrumentator to showcase most of it's features.