The Collapse of Observability
Everyone claims to be data-driven until telemetry disagrees with executive strategy. Founders show dashboards; investors see hockey sticks. But forensic diligence reveals that high-cardinality noise has blinded the operations team.
Everyone in technology claims to be data-driven—until the data contradicts the executive growth narrative.
Founders display cherry-picked charts of cumulative signups; investors applaud upward curves. But when I enter an organization to perform forensic platform diligence, I routinely find that observability has collapsed under its own weight.
Engineering teams are bombarded with thousands of uncalibrated alerts every week. Alert fatigue is so pervasive that critical catastrophic warnings are muted in Slack channels.
When true operational failure strikes, the observability stack—which was supposed to be a lighthouse—becomes a blinding blizzard of disconnected data points.
Omniscience through metric volume is an illusion.
Resilience requires high-signal telemetry: pruning 90% of vanity metrics, focusing exclusively on golden signals (latency, traffic, errors, saturation), and establishing clear correlation between system health and customer business outcomes.
Monk, Author, TEDx Speaker, and Solution Assembler. For 23 years quietly stabilizing platforms, eliminating operational drag, and making broken systems predictable.