Redundancy

Redundancy is a system design principle that involves duplicating critical components or functions to increase reliability, fault tolerance, and availability. It ensures that if one component fails, a backup can take over, preventing system downtime or data loss. This concept is widely applied in computing, networking, and data storage to enhance resilience against failures.

Also known as: Fault tolerance, High availability, Backup systems, Failover, Resilience

Why learn Redundancy?

Developers should implement redundancy in systems where high availability, fault tolerance, or data integrity is critical, such as in cloud services, databases, or mission-critical applications. It is essential for minimizing downtime in production environments, ensuring business continuity, and meeting service-level agreements (SLAs) in distributed systems.

Learning Resources

• docs: AWS Well-Architected Framework: Reliability Pillar
• docs: Google Cloud Architecture: Designing for Redundancy
• tutorial: System Design Primer: Redundancy and Replication
• course: Coursera: Cloud Computing Concepts
• video: YouTube: Redundancy in Distributed Systems