Log Everything with Logstash and Elasticsearch

Learn how to implement centralized, structured logging for multi-server Python applications using Logstash and Elasticsearch. Explore the benefits of structured logging, useful patterns, and how to effectively analyze logs with Kibana. Discover techniques for adding context to logs, including request IDs and correlation IDs, to enhance debugging and monitoring capabilities. Gain insights into the logging chain, GELF transport, required fields, and how to set up and run Logstash. Dive into Kibana's analysis features such as Bettermap, histograms, sparklines, and terms aggregations to visualize and interpret log data effectively.

Intro
About Me
Logging Chain
Transport: GELF
Required Fields
Graypy
Route/Filter: Logstash
10 Running Logstash
Analysis: Kibana
Bettermap
Histogram
Sparklines
Terms
Logging Patterns
Adding Context I
Request ID
Correlataion ID
Finger Crossed Hande
import Logbook import sys def calc(a,b)