Why losing visibility is more dangerous than losing control

Mike Fisher is a software engineer and technology enthusiast known for his expertise in web development and programming languages. Readers can learn about coding best practices, software architecture patterns, and emerging technologies. With blog posts, tutorials, and technical analysis, Mike Fisher shares  insights and best practices for building modern and scalable software solutions.

Fish Food for Thought

The 2003 Northeast blackout serves as a case study in observability failure: FirstEnergy's alarm system silently stopped updating, leaving grid operators unaware of cascading line failures for over an hour until 55 million people lost power. The core lesson is that losing visibility is a meta-failure that disables response to every other failure. Applied to product organizations, dashboards and metrics are instrumentation layers that can be incomplete, stale, or silently broken — and teams rarely red-team their sensing mechanisms. The post challenges the 'what gets measured gets managed' mindset, tracing its misattribution to Drucker and Deming, and argues that silence in metrics should raise suspicion, not confidence. Leaders must treat measurement as a fallible system requiring redundancy and skepticism.

The Alarm That Went Silent