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FastAPI CI/CD Monitoring: Complete Setup Guide

Set up ci/cd monitoring for FastAPI using Bugsly. Quick installation, configuration, and verification steps included.

The Problem

Broken deployments in FastAPI projects cost developer hours and user trust. CI/CD monitoring ensures every release meets your quality bar before reaching production.

Quick Start with Bugsly

Getting ci/cd monitoring running in FastAPI takes about five minutes. Here's how.

Install the SDK:

pip install bugsly-sdk[fastapi]

Add the initialization code:

import bugsly_sdk
from bugsly_sdk.integrations.fastapi import FastApiIntegration

bugsly_sdk.init(
    dsn="YOUR_BUGSLY_DSN",
    integrations=[FastApiIntegration()],
    traces_sample_rate=1.0,
)

app = FastAPI()

That's it. Bugsly starts capturing events immediately. No additional configuration is required for basic ci/cd monitoring, though you'll want to customize the setup as your needs grow.

Going Beyond the Basics

The initial setup captures unhandled errors automatically. To get more value from your FastAPI integration:

  • Add breadcrumbs to trace user actions leading up to errors. This context is invaluable when debugging complex flows.
  • Set up release health to track crash-free session rates across deployments. You'll know instantly if a release introduces regressions.
  • Configure integrations with your existing tools. Bugsly connects with Slack, PagerDuty, Jira, GitHub, and more to fit into your workflow.

Why Bugsly for FastAPI?

Bugsly's FastAPI SDK is purpose-built to hook into the framework's internals. It captures framework-specific context, groups errors intelligently using stack trace analysis, and provides a timeline view of events. Your team spends less time reproducing bugs and more time shipping features.

Next Steps

After setting up CI/CD monitoring, configure deployment markers in Bugsly to correlate releases with error spikes. Set up commit tracking to identify which code change introduced a regression. Use Bugsly's release health dashboard to monitor crash-free rates and session stability across each deployment.

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