Reports

Long-form writing for teams who inherit production AI: what breaks after the demo, what to measure, and how to leave the system operable.

5 reports for Observability

Latest in this filter

ObservabilityOct 12, 20267 min read

Building the Cost Ledger Before the Model: A Practical Guide

Then production went live, and the logs filled with a 40% increase in unexplained latency spikes.

Map every AI call to a specific business action to make cost and impact verifiable.
Use shadow tracing to prove output stability before enabling any write permissions.
Separate token consumption from logic complexity to identify true performance bottlenecks.

ObservabilityOct 7, 20267 min read
The Cost of Untracked Agent Actions
You are paying for compute on traces that never reached a human, creating a quiet cost that erodes trust before the first incident report.
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ObservabilityOct 4, 20268 min read
Wiring Arize to Dynatrace: The Integration Debt You Cannot Ignore
The sales engineer showed you a unified view where an AI latency spike correlated perfectly with a network blip.
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ObservabilitySep 9, 20266 min read
SLO Design for AI Agent Workflows: Beyond Latency
The dashboard shows green p95 latency while a different story unfolds underneath.
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ObservabilityJun 8, 20266 min read
Agent observability: traces that show what the agent did, not only latency
When something goes wrong, latency dashboards cannot tell you which tool call or plan step caused the damage.
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Showing 5 of 5 reports