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by fragmede
3242 days ago
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> take a request ID, grep the logs, and get an entire story of what happened to that request. In reality, this rarely happens! If that's the situation you find yourself in, I cannot praise centralized logging with a good frontend highly enough because I frequently find myself trying to figure out what happened to a request, and it's like night and day. Needing to ssh anywhere and run grep against log files is functional if there's only one or a handful of VMs, but it gets complicated with a handful of machines, and even just SCP-ing the logs off becomes time consuming if there are a lot of machines. Then once the logs are off, 'grep' quickly becomes inadequate. (And I should know, I've built some truly horrible regexps to try and grep for dates because I didn't know any better.) All that friction means that answering the original question; figuring out a detailed internal reason for why my customer received a 500 http status response error, is just too toilsome for all but the most (as you noted) doesn't happen in . With centralized logging, I'm able to search for a request ID and see the logs, and this is a reality as often as I need, in order to debug complex multi-system issues. |
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We had a series of Docker json-file driver log files. It's done as a raw list (no array around it) of JSON objects -- which is a bit annoying to sort and filter based on properties of the objects.
'jq '[inputs]' (asterisk).log > combined.json' was my favourite command today; it combines all the files inputs and wraps them in an array correctly. No awk needed!
Combine that with its cute:
jq '.someProp as $var | test("some search"; "gi") as $r | if $r then ($var + $__loc__) else null end' (asterisk).log | grep -v "^null$" > filtered.json
And you're away to the races. Can then load the file directly in and group_by(.somePath) and it will all magically work!
Edit: had to remove the actual asterix symbols as they screw with formatting but are used for globbing the file names. Replace with the real character