Hi everyone, I've been lurking here for a bit and finally decided to post. I'm currently responsible for a bunch of legacy Python services (mostly Flask and Django) that we're planning to move from our on-prem servers to Azure. The migration itself is giving me enough anxiety, but now I'm also being asked to choose a new observability platform to go with it.
We're looking at Sumo Logic because it's mentioned a lot alongside Azure, but I'm worried about how well it handles Python-specific telemetry. Things like ASGI server metrics, Django ORM query tracing, and Celery job visibility are really important for us. Our stack is pretty much 90% Python, with some Azure SQL and Redis.
Could anyone share their real-world experience using Sumo Logic for a similar Python-heavy environment on Azure? I'm especially curious about:
* How straightforward is it to instrument Python applications? Do the libraries play nicely with frameworks like FastAPI or Celery?
* What's the learning curve like for a team that's mostly used to building custom dashboards with open-source tools?
* Any gotchas with the Azure-native integration, like pulling in Azure Monitor metrics or App Service logs?
I'm hoping for a step-by-step kind of understanding. We don't have a huge DevOps team, so something that doesn't require constant manual query tuning would be a big plus. Also, if you have a rough timeline for how long it took from signing up to having useful, actionable dashboards, that would be incredibly helpful. 😅
Thanks in advance for any guidance you can offer.
One step at a time