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The Observability Stack

Incidents where dashboards show green while users scream on social media.

"A dashboard is not observability if nobody looks at it until the sirens go off."

What this stack means

This stack explores the gap between collecting telemetry and actually understanding system health.

Why this stack exists

Because it is easy to measure infrastructure metrics like CPU, but hard to measure user experience.

Common Failure Patterns

  • dashboard blindness
  • alert fatigue
  • missing telemetry
  • watermelon metrics
  • tool sprawl

Prevention Checklist

  • Alert on Service Level Objectives (SLOs) tied to user experience.
  • Consolidate observability tools to provide a unified view.
  • Regularly test alerts to ensure they are actionable and routed correctly.

Detection Signals

  • Hundreds of alerts firing during a routine deployment.
  • Engineers ignoring the monitoring channel because it's too noisy.
  • Discovering outages via Twitter rather than internal alerts.

Incidents in The Observability Stack

Video
EP2The Data Truth StackData and Source of Truth

Cache Guy Delivers a Fast Answer

"Caching is not a substitute for an optimized database query; it is a complex distributed state problem."

Pattern: cache invalidation drift
Read Incident →
Video
EP3The Data Truth StackData and Source of Truth

Agent A Takes Initiative

"AI capability is not approval; autonomous agents require strict API boundaries and blast-radius limits."

Pattern: cache invalidation drift
Read Incident →
Reference
The Observability StackObservability and Dashboard Failures

Dashboard Green Nobody Asked

"The chaos was predictable."

Pattern: green-dashboard blindness
Read Incident →
Reference
The Data Truth StackData and Source of Truth

Cache Expired During Demo

"The chaos was predictable."

Pattern: cache invalidation drift
Read Incident →
Reference
The Observability StackObservability and Dashboard Failures

Monitoring Tool Had Feelings

"The chaos was predictable."

Pattern: green-dashboard blindness
Read Incident →
Reference
The Observability StackObservability and Dashboard Failures

CTO Asked for One Number

"The chaos was predictable."

Pattern: green-dashboard blindness
Read Incident →
Reference
The Observability StackObservability and Dashboard Failures

Number Was Not Real

"The chaos was predictable."

Pattern: green-dashboard blindness
Read Incident →
Reference
The Data Truth StackData and Source of Truth

The Cache Was Correct Yesterday

"The chaos was predictable."

Pattern: cache invalidation drift
Read Incident →
Reference
The Data Truth StackData and Source of Truth

The CDN Solved the Wrong Problem

"The chaos was predictable."

Pattern: cache invalidation drift
Read Incident →
Reference
The Observability StackObservability and Dashboard Failures

The Edge Case Lived at the Edge

"The chaos was predictable."

Pattern: green-dashboard blindness
Read Incident →
Video
EP4The Data Truth StackData and Source of Truth

Mono Remembers Everything

"Legacy code is often the only reliable documentation of historical business rules and edge cases."

Pattern: cache invalidation drift
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Reference
EP15The Data Truth StackData and Source of Truth

The Cache Expired During the Demo

"The core technical takeaway from 'The Cache Expired During the Demo' is that isolated decisions scale poorly."

Pattern: cache invalidation drift
Read Incident →
Reference
EP45The Data Truth StackData and Source of Truth

The Cache Was Correct Yesterday

"The core technical takeaway from 'The Cache Was Correct Yesterday' is that isolated decisions scale poorly."

Pattern: cache invalidation drift
Read Incident →

The Observability Stack - Frequently Asked Questions

What is this stack?

Dashboards that are green while the system burns.

AI Summary

Incidents where dashboards show green while users scream on social media.