GoodNotes Architect Journal
🏠 Index 1. Single Server 2. Selecting DB 3. Relational & SQL 4. ACID Integrity 5. NoSQL Types 6. Scaling Guide 7. Load Balancing 8. SPOF & HA 9. API Design 10. Comm Protocols 11. TCP & UDP 12. REST Design 13. GraphQL Architecture 14. Authentication Protocols 15. JWT & OAuth 2 16. Authorization Models
System Design Chapter 8

Single Point of Failure (SPOF) & High Availability

Eliminating SPOFs via Redundancy, Load Balancer Monitoring, & Self-Healing Systems

★ Critical for zero-downtime architecture & DDoS resilience!

1 What is a Single Point of Failure (SPOF)?

A Single Point of Failure (SPOF) is any component in an architecture that, if it stops working or goes down, causes the entire system to fail.

⚠️ Vulnerable Architecture with Multiple SPOFs

👥 Client
➔
⚖️ Load Balancer
⚠️ SPOF
➔
Server 1
Server 2
Server 3
➔
💾 Database
⚠️ SPOF
🚨 Major Disadvantage of SPOFs:

Having SPOFs in your architecture gives malicious actors/hackers a single obvious target to bring down your entire application by focusing attack traffic (e.g. DDoS) directly at that single point.

2 3 Strategies to Avoid Load Balancer SPOFs

🔄 1. Redundancy

Adding multiple active/standby load balancers to your infrastructure setup.

💡 If one load balancer goes down, secondary load balancers immediately handle and route incoming traffic to backend servers without downtime.

🩺 2. Health Checks & Monitoring

Constantly perform automated health check probes on load balancers.

💡 Identifies failing load balancers instantly and stops sending traffic to unhealthy nodes until they recover and come back online.

🛠️ 3. Self-Healing Systems

Automatically spin up a new instance replacement if a load balancer crashes.

💡 Automated orchestration (e.g. Auto-Scaling Groups) detects failure and provisions a fresh load balancer node in place of the dead instance automatically.