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Observability
Overview
SLOs, SLIs & SLAs
Latency Percentiles and Targets
Availability and The Nines
Error Rate and Throughput
Infrastructure Metrics
Error Budgets
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Cost Observability
SLO Lifecycle
Reliability Metrics
Incident Management
Overview
Communicating During Incidents
Incident Lifecycle
On-Call and Escalation
Post-Incident Review
Production Readiness
Runbooks and Playbooks
Severity and Classification
Toil and Automation
Release Engineering
Overview
Change Risk and Deployment SLOs
CI/CD for Applications
Feature Flags and Rollback
Progressive Delivery
Infrastructure as Code
Overview
IaC Guardrails, Review, and Applying Change
IaC Best Practices
Disaster Recovery
Overview
Backup and Restore
DR Planning and Testing
Failover and Failback
RTO and RPO
Performance Engineering
Overview
Load and Stress Testing
Architecture Debugging Checklist
Caching Strategies
Capacity Planning
Overview
Planning and Operations
Workload and Modeling
System Design
Overview
System Design Requirements
CAP Theorem
System Design Checklist
Scalability Patterns
Infrastructure Building Blocks
Optimization Quick Reference
Redis vs Kafka: When to Use Which
Examples
Overview
Example — Mobile app
Example — Analytics
Example — Autocomplete / typeahead
Example — Chat / real-time
Example — Collaborative editing
Example — Distributed cache
Example — Electronic voting
Example — Feed / timeline
Example — Feed / timeline
Example — File sharing
Example — Game backend
Example — Geospatial / maps
Example — Infrastructure / redundancy
Example — IoT / sensor ingestion
Example — Library management
Example — LLM / semantic search
Example — Marketplace
Example — Media / video
Example — Parking / slot allocation
Example — Payments
Example — Ride-hail / matching
Example — Search
Example — Streaming / events
Example — URL shortener
Example — Warehouse / fulfillment
Example — Webhooks
Data Reliability
Chaos Engineering
Overview
Chaos Experiments
Game-Days and Drills
Synthetic Testing and Load Replay
Mind & Machine
Overview
Why information sticks
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Mind & Machine Overview
First Published
Feb 7, 2026
By
Atif Alam
Why information sticks
— A three-part framework (orientation, meaning, use) for making ideas stick.
