In this article, we will use OpenTelemetry to instrument a sample Flask app for traces. Flask is one of the most popular web application frameworks of Python. It consists of Werkzeug WSGI toolkit and Jinja2 template engine.
Falcon is a minimalist Python web API framework for building robust applications and microservices. It also compliments many other Python frameworks by providing extra reliability, flexibility, and performance. Using OpenTelemetry, you can monitor your Falcon applications for performance by collecting telemetry signals like traces.
Django is a popular open-source python web framework that enables rapid development while taking out much of the hassle from routine web development. It also helps developers to avoid common security mistakes. As such, many applications are built with Django.
FastAPI is a modern Python web framework based on standard Python type hints that makes it easy to build APIs. It's a relatively new framework, having been released in 2018 but has now been adopted by big companies like Uber, Netflix, and Microsoft. Using OpenTelemetry, you can monitor your FastAPI applications for performance by collecting telemetry signals like traces.
In the classic definition, Observability is something one step beyond monitoring; it’s how easy our system is to understand with the architecture and monitoring we have. The problem is a familiar one: we have monitoring tools but they’re not answering our question. This article shows how a Python developer can go from having traces but not answers, to fully understanding the root cause of a latency issue.
While support for logging in the OpenTelemetry Python project is listed as 'experimental,' it's completely possible to send logs from your Python application. The Opentelemetry Collector has support for numerous existing logging systems, effectively exporting log data from wherever you were sending logs currently; you can also use the filelog receiver to tail and send logs from files. The only 'experimental' portion of the Python SDK is sending logs directly from code-level instrumentation.
"Trade isn't about goods. Trade is about information. Goods sit in the warehouse until information moves them.”
C. J. Cherryh
OpenTelemetry is the future of Observability, APM, Monitoring, whatever you want to call ‘the process of knowing what our software is doing.’ It’s becoming common knowledge that your time is better spent gaining experience with an open, standardized system for telemetry than closed-source or otherwise proprietary standard. This truth is so universally acknowledged that all the big players in the market have made announcements of how they’re embracing OpenTelemetry. Often these statements mention how ‘open is the future’ et cetera. But how committed are these teams to OpenTelemetry? In this series, we’ll talk about how native OpenTelemetry tools compare to APM products that have adopted OpenTelemetry only partially. In this article, we will explore how, in both New Relic and Datadog, OpenTelemetry data is a ‘second class citizen.’
In this article, learn how to setup application monitoring for Python apps using an open-source solution, SigNoz.
Syslog is an important messaging protocol in computing systems where it is used to send system logs or event messages to a specific server. In Python, you can either use the
syslog module or the
logging module to collect and send syslogs to a central server.
Celery worker is a simple, flexible, and reliable distributed system to process vast amounts of messages while providing operations with the tools required to maintain such a system. In this tutorial, we will learn how to implement Celery with Flask and Redis.