Monitor, troubleshoot, and optimize Python app performance with Atatus. No code changes required in your app. Start seeing hidden Python errors in minutes.
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Vuepip install atatus
# settings.py
INSTALLED_APPS = [
# ...
'atatus.contrib.django',
]
# settings.py
ATATUS = {
'APP_NAME': 'Python App',
'LICENSE_KEY': 'lic_apm_xxxxxxx'
}
Restart your Django servers. That's it! You've sent your first event.
Python monitoring tracks and analyzes performance, resources, errors, and dependencies of Python apps in real-time. It covers metrics like response times, CPU, memory, error tracking, logging, and dependency monitoring. Tools like New Relic, Datadog, and Prometheus help collect, analyze, and alert on these metrics for better app performance and issue resolution.
Atatus provides a Python agent that you can install in your application. This agent collects data about your Python application's performance, including response times, throughput, error rates, and more. It also provides detailed insights into the performance of individual components of your application, such as database queries, external API calls, and web requests.
Here are a few Python metrics that you should consider while monitoring the python app.
Try it free. No credit card required. Instant set-up.
Best APM Monitoring tool
— S Herman Kiefus, DevOps Admin, Compass
Atatus captures all requests to your Python applications without requiring you to change your source code. Get a clear picture of how all your methods, database statements and external requests are affecting your user's experience.
Avail Atatus features for 14 days free-trial. No credit card required. Instant set-up.
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