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Study mode:
on
1
Intro
2
Goals
3
Service Level Indicator
4
Instrument
5
Metric Types
6
Averages
7
Naming
8
Configuration
9
Pull: Problems
10
Pull: Advantages
11
Metrics Format
12
Percentiles
13
Aggregation
14
Internal
15
PromDash
16
Grafana
17
Alerts & Scrying
18
Environment
19
System Insight
20
mtail
21
Code
22
cat-or.not
23
Wrapper
24
Goodies
25
Wrap Up
Description:
Learn how to instrument Python applications and collect real-time metrics using Prometheus. Explore the advantages of metrics over logging, understand different metric types, and discover best practices for naming and configuration. Dive into the pull-based architecture, metric formats, and aggregation techniques. Gain hands-on experience with dashboards using Grafana, set up alerts, and leverage system insights. Master the art of instrumenting your code and utilize tools like mtail and cat-or.not for comprehensive monitoring. By the end of this talk, acquire the skills to impress colleagues with beautiful graphs and intelligent monitoring in production environments.

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