BEGIN:VCALENDAR
VERSION:2.0
CALSCALE:GREGORIAN
METHOD:PUBLISH
PRODID:-//GridMind//NONSGML GridCalendar 0.9.577 2013-12-03 17:08 +0100//E
 N
BEGIN:VEVENT
UID:realraum Grid Calendar-ba60f4c3f99b69e96569dcaa976cb7c3-1319@grical.re
 alraum.at
DTSTART:20190702T190000
DTEND:20190702T230000
CATEGORIES:vortrag,python,logging
CLASS:PUBLIC
DESCRIPTION:Django applications running on an Apache web server can be mon
 itored based on log messages transferred by Python log handlers and filebe
 at\, collected and parsed by Logstash\, stored in Elasticsearch and analyz
 ed with Kibana and Grafana.\n\nThis talk shows how to setup and configure 
 Django\, Python logging and Apache to get the most out of your logging dat
 a.\n\nLogstash is a data collecting and log parsing engine which uses Elas
 ticsearch as target storage. Combined with Kibana and Grafana it is a popu
 lar solution to analyze and monitor server side applications.\n\nThis talk
  explains how to configure Logstash and its related tools to effectively m
 onitor a Django application running on an Apache web server.\n\nTopics cov
 ered are:\n\n    Overview\n    Basic architecture\n    Installation: packa
 ge or docker\n    Resource usage\n    Python logging handlers for logstash
 \n    Elastic common schema (ECS) for log entries\n    Parsing Apache logs
 \n    Access_log vs error_log\n    Time formats and zones\n    Mods to ext
 end the logging information\n    Mapping Python and Apache log levels\n   
  Debugging grok filters\n    Sending log files with Filebeats\n    Lessons
  learned\n
DTSTAMP:20190612T091131
SUMMARY:Monitoring Django Applications with Logstash
URL:http://grical.realraum.at/e/show/1319/
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