I am trying my first steps to collect and aggregate logs into a
elasticsearch/kibana combo.
I have them in a docker-compose stack and want to collect nginx and
postfix logs for a start.
So far I am confused by stuff like filebeat, logstash, fluentd ... brrr
Could someone explain or even share
* Stefan G. Weichinger:
> My goal:
>
> collect logs of postfix, nginx into the docker-containers running ES,
> Kibana .. and learn my way from there.
If you are not dead-set on Elasticsearch et al, I propose considering
MongoDB as an alternative.
There are syslog Modules that a
!?
But to be real: Why not use anything for akonadi/nepomuk that ist really
optimized for the purpose... Why not Solr or Elasticsearch... I mean: Nobody
really ever uses that crap for anything else than doing fulltext-search! As far
as i remember, even that purpose wasn't really very well done
Am 03.04.20 um 17:57 schrieb Ralph Seichter:
> * Stefan G. Weichinger:
>
>> My goal:
>>
>> collect logs of postfix, nginx into the docker-containers running ES,
>> Kibana .. and learn my way from there.
>
> If you are not dead-set on Elasticsearch et
est"
CPU_FLAGS_X86="sse2"
^^
dev-libs/openssl:0/1.1= required by
(app-admin/rsyslog-8.1911.0-r1:0/0::gentoo, installed) USE="gcrypt openssl ssl
uuid -clickhouse -curl -dbi -debug -doc -elasticsearch -gnutls -jem
Am 04.04.20 um 16:02 schrieb Ralph Seichter:
> * Stefan G. Weichinger:
>
>> Maybe I look into mongodb as well, for example I found this small
>> howto: https://www.fluentd.org/guides/recipes/maillog-mongodb
>
> That looks unnecessarily complicated to me. While you can of course move
> data from
* Stefan G. Weichinger:
> Maybe I look into mongodb as well, for example I found this small
> howto: https://www.fluentd.org/guides/recipes/maillog-mongodb
That looks unnecessarily complicated to me. While you can of course move
data from an existing log file into MongoDB, I find configuring
/ruby plus
> the toolkit of your choice (Tk, Gtk, Qt, Wx, Fltk, ...).
Yes, I could probably code everything myself in tiny little
scriptlets. But it's not worth the effort. This machine has 16G of
memory, it can run full-blown KDE, it uses 5G of memory after fully
booted (including two container
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