Timeline for Custom log analyzer
Current License: CC BY-SA 3.0
8 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Jan 28, 2015 at 8:36 | comment | added | Rasmus Boie | I will then, I was considering whether to do it or not but I was unsure whether it was proper method :) | |
| Jan 28, 2015 at 8:20 | comment | added | Steve Barnes | @RasmusBoie it might be worth posting that as an answer to your own question so as to make the information available to others that come along see softwarerecs.stackexchange.com/help/self-answer | |
| Jan 28, 2015 at 8:16 | comment | added | Rasmus Boie | I struggled quiet a bit with getting it to work and since it's not in a language I'm all familiar with it didn't make it easier, but I have given you a +1 for the answer none the less as it looks very good, I have however found a GUI to microsofts Log parser 2.2 (lizard-labs.com/log_parser_lizard.aspx) and that builds around Query which I'm more familiar with, and I will try to get that to work. But I will keep Pandas in mind as it seems VERY use able for other things as well | |
| Jan 28, 2015 at 8:00 | comment | added | Steve Barnes | But you can embed your logic into the notebook and once you have a parser for a given log format to a common set of data you can generalise. | |
| Jan 28, 2015 at 7:33 | comment | added | Rasmus Boie | I tried to install it via Anaconda (continuum.io/downloads) and then ran it through the ipython-notebook program/browser thing. I might have done it wrong, but as far as I could see/tried, I had to code every bit of logic myself. | |
| Jan 26, 2015 at 16:59 | comment | added | Steve Barnes | You would be amazed how easy it is. | |
| Jan 26, 2015 at 8:17 | comment | added | Rasmus Boie | Hi! Thanks for the help, it is indeed cable of a lot of things but as far as I was able to tell I had to code the logic behind the graphs / data extraction from the logs? | |
| Jan 22, 2015 at 12:55 | history | answered | Steve Barnes | CC BY-SA 3.0 |