Your Data Is Made Powerful By Context (so stop destroying it already) In logs as in life, the relationships are the most important part. AI doesn't fix this. It makes it worse. (cross-posted) After twenty years of devops, most software engineers still treat observability like a fire alarm — something you check when things are already…

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The three pillars model of observability (metrics, logs, traces stored in separate silos) destroys the relational context that makes telemetry data valuable. Data power grows combinatorially with each additional attribute, but siloing signals severs those relationships irreparably. AI-SRE agents are already bypassing traditional observability data in favor of richer, pre-digested telemetry with connective tissue intact. As agentic development accelerates change rates dramatically, precise production validation becomes critical — and that requires wide, context-rich, high-cardinality data stored together, not fragmented across pillars. AI-driven joins across silos cannot restore what was destroyed at write time.

Your Data is Made Powerful By Context (so stop destroying it already) (xpost)

Your observability data is self-destructing at write time

AI-SRE agents don’t seem to like three pillars data

You can’t put Humpty back together again

Agents need speed, flexibility, context, and precision to validate in prod