Operations | Monitoring | ITSM | DevOps | Cloud

One tool for all your Python performance tracking needs We're building this neat service in Python to ingest data in Elasticsearch from various sources (MySQL, Network Drive, AWS, etc.) for Enterprise Search. Sucking data from a third-party service to Elasticsearch is usually an I/O-bound activity. Your code sits on opened sockets and passes data from one end to the other. That's a great use case for an asynchronous application in Python, but it needs to be carefully crafted.

In the world of observability, there are several distinct problems to solve. Fast queries, intuitive visualizations, scalable storage, and more. The technical problems receive the most attention; however, there is another, more subtle problem. How do observability platforms facilitate collaboration on the scale needed by organizations?

OpsRamp has enhanced its hybrid observability capabilities by adding an integrated log management solution to unify log, event and alert data within customers’ monitoring and event management command center. Presenting this log data as part of a unified view of IT performance data and integrating it with remediation capabilities will allow enterprises and service providers to expedite the process of identifying and resolving potential issues before they impact their business operations.

On November 16, 2022, I sat down with analyst KellyAnn Fitzpatrick from RedMonk to discuss my favorite topic: observability. This time, we looked at observability in a context of what to do and what to avoid doing as you’re starting and going on an observability journey. Click the image below (or here) for a replay of the session. A machine-generated transcript is available at the end of the post.