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History of: Monitoring Django Applications with Logstash

Current version (2019-06-12T09:11:31.123645)

    title: Monitoring Django Applications with Logstash
startdate: 2019-07-02
starttime: 19:00
endtime: 23:00
tags: vortrag python logging
urls:
    PyGRAZ https://pygraz.org/meetups/sessions/91/
description:
Django applications running on an Apache web server can be monitored based on log messages transferred by Python log handlers and filebeat, collected and parsed by Logstash, stored in Elasticsearch and analyzed with Kibana and Grafana.

This talk shows how to setup and configure Django, Python logging and Apache to get the most out of your logging data.

Logstash is a data collecting and log parsing engine which uses Elasticsearch as target storage. Combined with Kibana and Grafana it is a popular solution to analyze and monitor server side applications.

This talk explains how to configure Logstash and its related tools to effectively monitor a Django application running on an Apache web server.

Topics covered are:

    Overview
    Basic architecture
    Installation: package or docker
    Resource usage
    Python logging handlers for logstash
    Elastic common schema (ECS) for log entries
    Parsing Apache logs
    Access_log vs error_log
    Time formats and zones
    Mods to extend the logging information
    Mapping Python and Apache log levels
    Debugging grok filters
    Sending log files with Filebeats
    Lessons learned