Production Observability: From Signals to Root Cause (2026) - Learning Roadmap | Nemorize

✅ Observability Foundations

• ✅ The Mindset Shift
  • ✅ Monitoring vs Observability
  • ✅ Signals vs Symptoms
  • ✅ Observability as Design Property
• ✅ The Three Pillars
  • ✅ Metrics That Matter
  • ✅ Structured Logging Strategy
  • ✅ Distributed Tracing Fundamentals
  • ⚪ Cardinality & Cost Control

✅ Context Propagation Mastery

• ✅ Trace Context Architecture
  • ✅ Async Boundary Patterns
  • ⚪ Baggage and Context Safety
  • ✅ Cross-Service Causality
• ✅ Instrumentation Strategy
  • ✅ Span Boundary Design
  • ⚪ Attribute Strategy
  • ⚪ Manual vs Auto Instrumentation

✅ Production Debugging Skills

• ⚪ Sampling & Cost Reality
  • ⚪ Head vs Tail Sampling
  • ⚪ Debugging Without Full Fidelity
  • ⚪ Adaptive Sampling Strategies
• ⚪ Incident Debugging Playbooks
  • ⚪ Latency Without Errors
  • ⚪ Errors Without Load
  • ⚪ Tenant-Specific Issues
  • ⚪ Silent Failures

✅ Distributed System Patterns

• ⚪ Cascading Failure Patterns
  • ⚪ Retry Amplification
  • ⚪ Partial Outage Detection
  • ⚪ Queue Depth Illusions
• ⚪ Operational Excellence
  • ⚪ Alert Design Principles
  • ⚪ SLO-Based Monitoring
  • ⚪ Production Readiness Gate

✅ Observability Architecture

• ✅ OpenTelemetry Mental Model
  • ✅ Collectors and Pipelines
  • ⚪ Backend Neutrality Strategy
  • ⚪ Migration Planning
• ⚪ Production Readiness Checklist
  • ⚪ Required Signals Audit
  • ⚪ Deployment Visibility
  • ⚪ Incident Rehearsal Framework