Server redundancy is a process used in IT infrastructure to secure high availability and business continuity by having backup servers or components in place to take over automatically in case the primary server fails.
It Involves deploying multiple servers or server components that perform the same functions, so that if one fails, another can automatically take over without disrupting the service.
The primary objective of server redundancy is to maintain high availability and prevent downtime, securing that applications and services remain working even in the event of hardware failures, software Errors, or network disruptions.
Without server redundancy:
With server redundancy:
1. Failover Systems
Failover systems are designed to maintain system availability by automatically switching to a redundant (backup) server if the primary server fails.
Example: Active-Passive Clusters – In this setup, the active server handles all tasks under normal conditions, while the passive server remains on standby. If the active server fails, the passive one takes over with minimal Delay.
2. Load Balancing
Load balancing distributes incoming network traffic across multiple servers to secure no single server becomes overloaded. It improves performance, scalability, and fault tolerance.
Example: If one server fails, the load balancer automatically reroutes traffic to the remaining healthy servers, maintaining service availability.
3. RAID for Redundant Storage
RAID (Redundant Array of Independent Disks) uses multiple hard drives to improve data server redundancy and performance. Configurations like RAID 1, 5, or 10 mirror or distribute data across drives.
Benefit: Protects against data loss in the event of a disk failure.
4. Geographic Redundancy
Geographic server redundancy involves deploying servers in multiple physical locations (data centers in different regions or countries). This setup ensures continued service availability even if one location is affected by a disaster.
Example: Protects against outages caused by regional issues like fires, floods, or power failures.
5. Data Replication
Data replication involves copying data in real-time or at scheduled intervals across multiple servers or storage systems. This ensures that the same data is available in multiple locations.
Benefit: If one server fails, the replicated data on another server ensures continued access and data integrity.
6. Clustering
Clustering connects multiple servers to operate as a single, unified system. The workload is shared, and the system remains operational even if one or more nodes fail.
Example: If one node in the cluster goes down, the remaining nodes seamlessly continue handling tasks, ensuring high availability.
Read Related: Understanding Network Latency Differences in Our Infrastructure : What Is Server Redundancy? A Guide to Uptime