Getting Started: Monitoring a FastAPI App with Grafana and Prometheus - A Step-by-Step Guide

• Fast-Api-example

  5 114 8.3 Python

  Simple asynchronous API implemented with Fast-Api framework utilizing Postgres as a Database and SqlAlchemy as ORM . GitHub Actions as CI/CD Pipeline

Inorder to keep we'll use an existing FastAPI app for this guide. You can clone the repo here. However, if you want to create/use your own FastAPI app, feel free to do so.

• Fast-Api-Grafana-Starter

  1 11 6.4 Python

  Simple asynchronous API implemented with Fast-Api framework utilizing Postgres as a Database and SqlAlchemy as ORM . Grafana for monitoring using Prometheus

Feel free to use my Grafana dashboard as a starting point. Find the JSON file in the GitHub repo.

• WorkOS

  workos.com sponsored

  The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  

• docker

  150 515 0.0 Go

  Docker - the open-source application container engine (by microsoft)

  

Docker

• prometheus

  381 52,642 9.9 Go

  The Prometheus monitoring system and time series database.

  

Prometheus

• Grafana

  379 60,279 10.0 TypeScript

  The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.

  

Grafana

• fastapi

  465 70,779 9.8 Python

  FastAPI framework, high performance, easy to learn, fast to code, ready for production

FastAPI

• Docker Compose

  384 32,312 9.6 Go

  Define and run multi-container applications with Docker

  

Docker Compose

• InfluxDB

  www.influxdata.com sponsored

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

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