It consolidates all logs into one place and provides required features and functionalities
What is our primary use case?
It is our sole cross-correlation logging backend for some IBM services. We have a combination of LogDNA and Sysdig for root cause analysis and customer events. LogDNA is related to the operations of the service. Sysdig is somewhat nice in the sense that it also gives us some backdrop when there are any issues with respect to resources and other types of metrics-based constraints.
Pros and Cons
"LogDNA consolidates all logs into one place, which is super valuable."
"Every once in a while, our IBM cloud operational implementation gets behind. Sometimes, when we have a customer event, we do not get access to the latest logs for about 30 minutes, particularly for the sites that are heavily utilized. This is clearly not good. It is impossible to RCA when you can't look at the logs that pertain to the time period in which the event occurred. It could be more of an operational problem than a feature problem. I don't have visibility about whether it is a LogDNA issue or just an operational issue."
What other advice do I have?
We haven't had anything yet that we couldn't do through LogDNA. Feature-wise, it is solid for us. From a functionality point of view, that is, finding stuff and doing RCA and other things, we're able to find what we're looking for. We don't have any constraints at this point. I would rate LogDNA an eight out of ten.