This is an excellent, carefully observed piece on the cultural impact of observability tooling on an engineering team.
The architectural source of truth *has* to move out of our heads and into a shared tool, and tracing can really help here.
I'm always background processing about better, simpler ways of explaining observability and why it matters. (I have no hobbies 🙄) You can *almost* reduce it to this simple formula:
High Cardinality Events + Tracing == Observability
It's not completely accurate and does not account for all types of systems, but it ranks a lot higher than "three pillars" does on the truthiness scale.
It would not offend me as an engineer to make this statement in marketing material. It rounds up to true.
I realized this while writing a long post last week called "so you want an open source observability tool".
The post works backwards from the definition of observability -- handle unknown unknowns, understand any internal system state without shipping code to handle it --
-- and extrapolates the technical requirements for storage, retrieval, and UX. You can use it as a checklist to see if a vendor who claims to do observability actually does or not, or you can use it to build or cobble together OS o11y.
Please tell me if you do so. ☺️
I also link to existing efforts in that vein. The post isnt up yet bc it got swiped for honey blog, but will go up Tuesday so look for it then. 🐝
You can follow @mipsytipsy.
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