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When shipping APIs, having access to logs and metrics is crucial to understand API usage and troubleshoot issues. However, I've found that most monitoring tools bury these in bloated dashboards that are a pain to use.
That's why I built Apitally, a simple API monitoring and analytics tool for Django that focuses on what actually matters for APIs:
Usage metrics (per endpoint and consumer)
Error tracking (with stack traces)
Performance monitoring
Request logs + correlated application logs
Uptime monitoring + alerts with Slack/Teams notifications
The Apitally SDK integrates with Django via a lightweight middleware, which captures metrics and logs for all API requests and asynchronously sends them to Apitally’s servers in regular intervals, without affecting performance.
Setup is super easy. Just add a few lines of code to your settings. No infrastructure changes required.
MIDDLEWARE= [ "apitally.django.ApitallyMiddleware", # Other middleware ... ] APITALLY_MIDDLEWARE= { "client_id": "your-client-id", "env": "dev", # or "prod" etc. }
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Hey Django community,
When shipping APIs, having access to logs and metrics is crucial to understand API usage and troubleshoot issues. However, I've found that most monitoring tools bury these in bloated dashboards that are a pain to use.
That's why I built Apitally, a simple API monitoring and analytics tool for Django that focuses on what actually matters for APIs:
The Apitally SDK integrates with Django via a lightweight middleware, which captures metrics and logs for all API requests and asynchronously sends them to Apitally’s servers in regular intervals, without affecting performance.
Setup is super easy. Just add a few lines of code to your settings. No infrastructure changes required.
Here's a screenshot of the Apitally dashboard:
If you'd like to try it out, there's a detailed setup guide for Django REST Framework.
Please let me know what you think!
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