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Damn no integrated advanced AI-driven solution that analyzes patterns and just predicts the errors? 🤨
(lemmy.sdf.org)
this post was submitted on 24 May 2024
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Good tracing & monitoring means you should basically never need to look at logs.
Pipe them all into a dumb S3 bucket with less than a week retention and grep away for that one time out of 1000 when you didn't put enough info on the trace or fire enough metrics. Remove redundant logs that are covered by traces and metrics to keep costs down (or at least drop them to debug log level and only store info & up if they're helpful during local dev).
What a nice world you must live in where all your code is perfectly clean, documented and properly tracked.
And not subject to compliance based retention standards
Well I didn't say anything about perfectly clean, but I agree, it's very nice to work on my current projects which we've set up our observability to modern standards when compared to any of the log vomiting services I've worked on in the past.
Obviously easier to start with everything set up nicely in a Greenfield project, but don't let perfect be the enemy of good—iterative improvements on badly designed observability nearly always pays off.
"Log" is the name of the place you write your tracing information into.