Improving Observability in Your Observability: Simple Tips for SREs
summary
Argues that time‑series graphics date back centuries and extracts concrete practices: Playfair’s 43 of 44 charts are time series and Minard packs six variables into the Napoleon map to show causality; recommend multivariate displays (use left/right axes for disparate units), remove chart junk, always document scales and data sources, and add sparklines (Splunk/Graphite examples, CLI brew tools) to boost data density and make SLI/SLO narratives self‑evident.
AI-written summary · about
chapters (11)
- 0:00Start
- 0:14Improving Observability In Your Observability Simple tips for SRES
- 1:05What are we going to talk about
- 2:11William Playfair
- 6:29Minard's Figurative Maps
- 7:54Minard's lessons for SREs and other engineers
- 8:24Who's Edward Tufte?
- 9:14Tufte's Principles of Analytic Design
- 14:29Review of key concepts to remember
- 22:58CLI sparklines
- 23:52Take Aways and Challenges
related talks
26mImproving How We Observe Our Observability Data: Techniques for SREs
20mData Visualization for SREs—an Essential Skill for Quick Debugging
40mDemystifying Observability and Monitoring
32mEssential Software Observability for Every Role: Look No Further
44mHow to Create Truly Great Charts
29mObservability for Developers: How to Get From Here to There
55mBeginner's guide to observability
19mImportance of rethinking data visualization
