What is Replication?
Replication in system design involves creating and maintaining exact copies of data, resources, or processes across multiple locations within a system. It’s like having mirrors of the same information or functionality spread out across different parts of a system. Replication serves various purposes, such as:
- Improving performance by distributing workload across multiple instances
- Enhancing fault tolerance by ensuring that if one copy fails, others can take over seamlessly
- Improving accessibility by allowing users to access data or resources from nearby replicas.
Replication is commonly used in distributed systems, databases, and networking to optimize efficiency and reliability.
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