A booking platform saw deadlocks and lock wait timeouts spike during peak sales periods, exactly when failures were most costly. Errors were being retried blindly by the application, which amplified the contention. AceMQ took over MySQL support with named senior engineers and direct escalation.
InnoDB lock contention is rarely fixed by tuning alone; it usually comes from statement ordering and transaction scope in application code. Complicating matters, a reporting job held a read view open for long periods, causing the InnoDB history list to grow and making every affected query traverse longer undo chains. The two problems reinforced each other under load.
MySQL clusters spanning on-premises and cloud capacity, backing reservation and payment workflows.
AceMQ read the deadlock records and lock wait diagnostics to identify the actual conflicting statement pairs, then traced them back to the application transactions that produced them. Fixes targeted transaction scope and access ordering, with configuration changes used only where they genuinely helped.
Deadlock volume during peak periods dropped sharply and lock wait timeouts became rare rather than routine. History list length now stays flat, removing the undo chain overhead that had been degrading unrelated queries.
Resolving replica lag that grew to hours during batch windows because single-threaded apply could not keep pace with large multi-row transactions.
Planning and executing a major version upgrade including character set migration and online schema changes on large tables using gh-ost.
Whether you need architecture advisory, 24/7 support, or full managed services, AceMQ has the expertise to help.