Operations | Monitoring | ITSM | DevOps | Cloud

Implementing distributed tracing with OpenTelemetry helps track requests across services, providing insights into performance and pinpointing issues.

Learn how OpenTelemetry events enhance observability by providing detailed insights into application performance and system behavior.

Learn how to integrate OpenTelemetry with Elixir to monitor and troubleshoot your applications with traces, metrics, and logs.

Learn how OpenTelemetry's context propagation improves tracing by ensuring accurate, end-to-end visibility across distributed systems.

Learn how to integrate OpenTelemetry with Flask to monitor and trace your web app’s performance with easy-to-follow setup and troubleshooting tips.

Learn how to integrate Kafka with OpenTelemetry for enhanced distributed tracing, better performance monitoring, and effortless troubleshooting.

You may have wrestled with a web application attempting to call an offsite web service, such as an OpenTelemetry Collector, and gotten an odd error with the word CORS in it. Something like: Or, maybe you got a generic thrown error from your fetch statement that states Error: Failed to fetch …and you wondered, “What’s the problem, and how can I fix it?” These kinds of errors are called CORS errors, and they can be a bit confusing.

Complexity rules the day within the world of data systems and pipelines. A goal for any observability practice is to help reduce complexity and give users and administrators a clear view of what’s happening in any system. This is the path to unified observability, a mature system where monitoring and troubleshooting are streamlined. This has been difficult to achieve for many organizations.

Learn how to integrate OpenTelemetry with FastAPI for enhanced observability, including automatic instrumentation, environment variables, and custom exporters.