What Role Does Cloud Redundancy Play in Achieving High Uptime?
Cloud redundancy plays a critical role in achieving high uptime, particularly in the context of acquirer processing and payment operations. For enterprises handling high-volume transactions, redundancy means infrastructure components backed up across multiple servers, data centres, or geographic regions. This is what keeps systems operational when one part ultimately fails. Consider that for enterprises, the average cost of downtime is over $300,000 per hour—and for nearly half of enterprises—over $1 million per hour. Redundant systems can significantly reduce these losses.
When systems implement cloud redundancy, this translates into high availability for payment processing. Payment networks can utilize multiple environments for data replication and application replication across environments. If one environment experiences outages, others can function in a failover capacity. For example, a live-live infrastructure is the highest tier of redundancy model where parallel systems exist concurrently, meaning failures are handled naturally as the system balances workload distribution. Moreover, redundant systems allow for easier scalability as they can handle increased transaction frequency at accelerated speeds during peak times. A 99.99% uptime from DECTA implies redundancy within their own environments, as they would not want to subject their clients to service interruptions—this is what all acquirer processors need to consider in strategic redundancy efforts through multi-zone deployments, data replication, and operations safeguarding. The goal is to maintain data integrity and uninterrupted service.