HA clustering involves grouping multiple servers or nodes together into a cluster, where they work in tandem to provide failover support. If one node fails, another node in the cluster automatically takes over to ensure uninterrupted service.
Load balancing distributes incoming traffic across multiple servers or resources to optimize performance and prevent overload on individual components. Redundant load balancers ensure continuous traffic routing in case of failure.
Active-active architectures distribute workload across multiple active systems simultaneously, providing redundancy and scalability. Active-passive architectures maintain standby systems that become active only when the primary system fails.
Geographic redundancy involves deploying redundant systems or data centers in different geographic locations to mitigate the impact of regional disasters, such as earthquakes, floods, or power outages.
Data replication involves copying data from one location to another in real-time or near-real-time to ensure data availability and integrity. Redundant data copies serve as backups in case of primary data loss or corruption.
Implement automated failover mechanisms that detect failures and automatically switch to redundant components or systems without manual intervention. This minimizes downtime and ensures continuous operation.
Ensure redundant power sources, such as backup generators or uninterruptible power supplies (UPS), to maintain power availability during outages. Redundant network connections and internet service providers (ISPs) ensure continuous connectivity.
Regularly test redundancy configurations and failover mechanisms to verify their effectiveness and identify any potential issues or weaknesses. Conduct routine maintenance and updates to keep redundant systems and components in optimal condition.