Advanced Open edX Monitoring with AppSignal for Python
In this second part of a two-part series, we'll dive into the more advanced monitoring capabilities that AppSignal can offer our Open edX application.
Read blog posts about building and managing your Python apps. We share tips & tricks about performance optimization, monitoring, and observability.
In this second part of a two-part series, we'll dive into the more advanced monitoring capabilities that AppSignal can offer our Open edX application.
Let's look at some examples and best practices when using Lambda functions for Python.
Let's see how we can use AppSignal to monitor and improve performance in an Open edX application.
Let's handle orders on our one-product shop by setting up Stripe.
We'll use Django, htmx, and Stripe to create a one-product e-commerce website.
Let's see how we can use AppSignal to monitor performance in a Django application.
Let's see how we can use AppSignal to monitor performance in a FastAPI application.
Let's create a FastAPI app and deploy it to Render.
Let's track and fix errors in a Flask application using AppSignal.
Level up your Python monitoring insights with AppSignal's custom metrics.
We'll make use of AppSignal to track errors in FastAPI.
Let's see how we can use AppSignal to track and fix errors in a Django application.
AppSignal provides insights for Ruby, Rails, Elixir, Phoenix, Node.js, Express and many other frameworks and libraries. We are located in beautiful Amsterdam. We love stroopwafels. If you do too, let us know. We might send you some!