Use Cases
- Content Delivery Networks (CDNs): Replicate data across geographically distributed servers to ensure fast content delivery and high availability.
- Distributed Databases: Use replication to maintain multiple copies of data across different nodes to ensure consistency and availability.
- Collaborative Applications: Real-time editing tools and collaboration platforms use replication to ensure all users see the same data simultaneously.
- High-Availability Systems: Critical applications like financial transactions and healthcare systems use replication to ensure that data is always available and consistent, even during outages.
Replication in System Design
Replication in system design involves creating multiple copies of components or data to ensure reliability, availability, and fault tolerance in a system. By duplicating critical parts, systems can continue functioning even if some components fail. This concept is crucial in fields like cloud computing, databases, and distributed systems, where uptime and data integrity are very important. Replication enhances performance by balancing load across copies and allows for quick recovery from failures.
Important Topics for Replication in System Design
- What is Replication?
- Importance of Replication
- Replication Patterns
- Data Replication Techniques
- Consistency Models in Replicated Systems
- Replication Topologies
- Consensus Algorithms in Replicated Systems