[Ignite] Observability is a big word that gets used in inappropriate ways. Join Dan from Datadog on a fun, fast-paced dive into definitions, explanations, and—hopefully—illumination on what observability is (and what it isn’t).
Observability is a measure of how well internal states of a system can be inferred from knowledge of its external outputs. Photo: CC-BY-2.0 Tim Rechmann (https://flic.kr/p/2kvnyb3) @phrawzty // Datadog 5
Measure Photo: CC-BY-2.0 Andrew Malone (https://flic.kr/p/aqhCH8) @phrawzty // Datadog 6
State Photo: CC-BY-2.0 BenGrantham (https://flic.kr/p/eQA3Zk) @phrawzty // Datadog 7
System Photo: CC-BY-2.0 Krzysztof Pędrys (https://flic.kr/p/4tUNYV) @phrawzty // Datadog 8
Knowledge Photo: CC-BY-2.0 Fredrik Rubensson (https://flic.kr/p/dC1gvd) @phrawzty // Datadog 9
Output Photo: CC-BY-2.0 Rob Brewer (https://flic.kr/p/VXgQqu) @phrawzty // Datadog 10
Context is important (…and control theory is vast) Photo: CC-BY-SA dilettantiquity (https://flic.kr/p/ppsKuz) @phrawzty // Datadog 11
State observer Photo: CC-BY-SA John Dyhouse (https://flic.kr/p/7ErCMc) @phrawzty // Datadog 12
Multi & Bounding observer Interval & Luenberger observers Positive systems! Moving horizon estimations! Kalman filters in general topological spaces! Photo: CC-BY-SA https://en.wikipedia.org/wiki/State_observer @phrawzty // Datadog 13
“The Three Pillars” Photo: CC-BY-2.0 Andrew (https://flic.kr/p/xy6rdF) @phrawzty // Datadog 14
Ok, so, practically-speaking, what is observability?! Photo: CC-BY-2.0 Becks (https://flic.kr/p/p1dHTN) @phrawzty // Datadog 18
Observer / observed relationship Photo: CC-BY-SA Matt Brown (https://flic.kr/p/2hwn1DV) @phrawzty // Datadog 19
Observability as a property of a system is important—but so is the observer’s capacity to make use of that property. Photo: Public Domain fdctsevilla (https://flic.kr/p/23rPAvU) @phrawzty // Datadog 20
@phrawzty on stage talking about Principles of Observability at @DevOpsZH #devopsdayszh #dodzh pic.twitter.com/k1hPbr6adw — Denys Vitali (@DenysVitali) September 7, 2021