Monitoring and observability are crucial for developers, architects, and Site Reliability Engineers across various languages and runtimes. The blog highlights the experiences of Stephan Dannewitz, a DevOps & Site Reliability Engineer at avodaq AG, who implemented monitoring and observability for the Python-based video chat platform CARY using Dynatrace’s Software Intelligence platform. The article details how Dannewitz leveraged Dynatrace’s OneAgent SDK for Python auto-instrumentation, which enables automated distributed tracing without modifying Python code, thus benefiting developers in troubleshooting and extracting business metrics. The process involves installing the OneAgent on Kubernetes clusters, configuring auto-instrumentation for Python frameworks like Django, analyzing data through automated metrics, and setting Service Level Objectives (SLOs) to ensure operational efficiency. The blog encourages developers to explore these tools and practices to enhance the observability of their Python applications, offering insights into tagging and metadata management to improve deployment and monitoring strategies.