What is Redundancy?
Redundancy in system design refers to the addition of extra components, resources, or processes within a system to ensure its continued operation in the event of a failure. It’s like having a backup plan to maintain functionality even if something goes wrong. Redundancy can be applied at various levels within a system, such as:
- Hardware redundancy having duplicate components like power supplies or hard drives
- Software redundancy is having backup software processes ready to take over if the primary one fails
- Network redundancy has multiple paths for data transmission to avoid single points of failure.
The goal of redundancy is to enhance reliability and minimize downtime in critical systems.
Difference Between Redundancy and Replication
Difference Between Redundancy and Replication explores two concepts often used in technology. Redundancy refers to having backup copies or extra resources to ensure smooth operation even if something fails. Replication, on the other hand, replication involves creating exact copies of data or resources to distribute workload or improve accessibility. While both involve creating duplicates, redundancy focuses on backup and safety, while replication emphasizes sharing and efficiency. Let us understand the differences between the two.
Important Topics for Redundancy vs. Replication
- What is Redundancy?
- What is Replication?
- Differences Between Redundancy and Replication
- Redundancy Use Cases
- Replication Use Cases
- Impact on Scalability and Performance
- Role in Fault Tolerance