David,

Thank you for your generosity in taking the time to write out such a thoughtful 
response. Wow.

You have given me some really interesting ideas to pursue. I am grateful.

I am going to chew on this for a bit. I have some reading to do (including a 
few articles written by you!).

Thanks again, and very warm regards,

Jim


-- 
Jim Van Meggelen 
ClearlyCore Inc. 



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----- Original Message -----
> From: "David Lang" <[email protected]>
> To: "rsyslog-users" <[email protected]>
> Cc: "Jim Van Meggelen" <[email protected]>
> Sent: Friday, 9 July, 2021 18:38:08
> Subject: Re: [rsyslog] using Kibana / OpenSearch Dashboards to analyze logs 
> during development

> multi-line logs are difficult to handle, it would be far easier on you if you
> can turn them into single-line logs as early in processing as possible.
> 
> There is a lot of business analytics value in logs. the 'easy' way is to throw
> it into Splunk or ElasticSearch and depend on queries there, but that ends up
> being rather inefficient. I like to get the logs into those tools to make them
> easy to explore, but once you figure out what you want to know you can be far
> more efficient in the gathering of your metrics.
> 
> you can use something like Simple Event Correlator to turn a series of events
> into counts that you can then graph, and once you have graphable numbers, then
> something like the holt-winters algorithm that RRDtool implements can predict
> normal values and alert you when you stray (and the beauty of holt-winters is
> that the same numerical value can produce a 'unexpecteedly high' alert at 3am
> sunday morning, 'unexpectedly low' at 10am monday, and be in the normal range 
> at
> 3pm on monday)
> 
> Rsyslog is not an analysis engine, but it's a very good routing/reformating
> engine for single-line logs (it can do some handling of multi-line logs, but
> that tends to just push the failure down to the next component)
> 
> One thing to remember is that rsyslog is a 'best effort' logging, there are 
> ways
> to make it handle failures, but there remain failures that can cause logs to 
> be
> lost. Don't use rsyslog as the only path for content that will cost you money
> if it's lost.
> 
> https://www.usenix.org/publications/login/david-lang-series
> https://www.usenix.org/publications/login/april14/lang
> https://www.usenix.org/conference/lisa12/technical-sessions/presentation/lang_david
> http://ristov.users.sourceforge.net/publications/cogsima15-sec-web.pdf
> 
> David Lang
> 
> 
> 
> On Fri, 9 Jul 2021, Jim Van Meggelen via rsyslog
> wrote:
> 
>> Date: Fri, 9 Jul 2021 07:42:28 -0500 (CDT)
>> From: Jim Van Meggelen via rsyslog <[email protected]>
>> To: rsyslog-users <[email protected]>
>> Cc: Jim Van Meggelen <[email protected]>
>> Subject: Re: [rsyslog] using Kibana / OpenSearch Dashboards to analyze logs
>>     during development
>> 
>> Daniel,
>>
>> I'm pretty sure you and I have had at least one yap at some conference or
>> another. Could be I just attended a talk of yours.
>>
>> I saw your name here and thought "I'm pretty sure I've met him somewhere", 
>> and
>> that was somewhat of a pleasant shock, because I've been digging into rsyslog
>> for some stuff I've been thinking about, and it's in a similar vein to what
>> you're talking about here (feeling multi-line data into analytics to help 
>> make
>> some sense of it), and frankly it's nice to hear someone else in the same 
>> line
>> of work is thinking similar things with respect to these log files (which are
>> chock full of detailed data).
>>
>> I don't know if what we're after is in fact the same (most folks seem to use
>> logging for error handling, whereas I'm thinking more about gleaning business
>> analytics from the data).
>>
>> It feels like there's gold in all those log files. It'd be interesting to see
>> how it could be mined.
>>
>> Regards,
>>
>> Jim
>>
>>
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