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Operationally intelligent
Logs and metrics are only 30% of the data reaching LLMs during incidents. RunWhen's Kyle Forster on why agent exhaust deserves a pillar of its own.
Operationally intelligent
FanDuel's Ricardo Castro on why platform teams fail from a visibility gap rather than a tooling one, and the two early warning signs worth watching for.
Operationally intelligent
Langtrace co-founder Karthik Kalyanaraman explains why LLM observability has to start during development, not after launch, and exactly what to trace first.
Operationally intelligent
Google Cloud's Nathen Harvey on DORA's core finding that fast software delivery and stability move together, plus how to actually bring DORA into your org.
Operationally intelligent
Embrace's Hanson Ho explains why mobile observability has to measure whether users actually succeeded, not raw CPU, memory or latency numbers alone.
Operationally intelligent
IAG's Stephen Townshend on why dashboards and clear boundaries give leaders a comforting sense of control over complex systems that isn't really there.
Operationally intelligent
AWS's Michael Hausenblas explains why moving from monitoring to operational intelligence is mostly an incentives and culture problem, not a tooling choice.