Redundancy Use Cases
Below are the use cases of redundancy:
- Server Redundancy: Maintaining duplicate servers that can take over if one fails, ensuring continuous service availability.
- Network Redundancy: Employing multiple network paths or devices to reroute traffic if one pathway or device fails, ensuring uninterrupted connectivity.
- Storage Redundancy: Implementing RAID (Redundant Array of Independent Disks) configurations to store data across multiple disks, allowing for data recovery if one disk fails.
- Power Redundancy: Installing backup power supplies or generators to ensure uninterrupted power in case of mains power failure, vital for critical infrastructure like hospitals or data centers.
- Data Center Redundancy: Having duplicate data centers in different geographic locations, ensuring data availability and disaster recovery in case of natural disasters or other emergencies.
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