Does a MySQL high-availability design guarantee a fixed uptime percentage?
No architecture alone guarantees an uptime percentage. The objective depends on failure domains, quorum, routing, application retry behavior, capacity after a failure, maintenance practices, monitoring, and tested recovery procedures. Any SLA belongs in the signed service agreement and should be supported by observed failover and recovery evidence.
How does failover work in MySQL InnoDB Cluster?
InnoDB Cluster uses Group Replication for membership and primary election. In the default single-primary mode, a secondary can be promoted when the primary fails, and MySQL Router can direct new connections to the new primary. Successful service recovery still depends on quorum, Router availability, connection handling, capacity, and application retries.
What RTO and RPO can a MySQL DR design achieve?
RTO and RPO are design targets, not product defaults. They depend on replication mode and lag, failure detection, promotion or restore steps, data volume, network conditions, routing, and application recovery. ClusterSet emergency failover can lose unreplicated transactions, so targets are contracted only after rehearsal and measured recovery exercises.
How do you reduce split-brain risk in MySQL HA?
Within Group Replication, membership and quorum govern which partition can continue. Cross-cluster disaster recovery needs additional fencing and routing controls: Oracle documents transaction-loss and split-brain risk during ClusterSet emergency failover. The runbook therefore isolates the old primary, verifies GTID state, controls Router policy, and requires an authorized recovery decision.
Can an existing MySQL deployment move to HA without downtime?
A staged replica or cluster build can reduce the cutover window, but downtime cannot be promised without measuring the workload and application. Provisioning, synchronization, consistency checks, routing changes, write coordination, and rollback gates are rehearsed first. The agreed maintenance window reflects the evidence from that rehearsal.
What should be monitored in a MySQL HA topology?
Monitoring should cover member state and role, quorum, replication queues and applier errors, transaction lag, Router and connection health, write availability, disk and memory pressure, backup freshness, and recovery-test results. Alert thresholds and escalation paths are tied to the service objectives and the topology's actual failure modes.
Does MySQL high availability replace backups?
No. Replication can copy accidental deletes, corruption, or unwanted application changes to other members. A resilient design keeps independently restorable backups, retains the binary logs needed for the intended point-in-time recovery window, and regularly proves restore procedures against the stated recovery objectives.