24/7 support from senior MySQL engineers with a 15-minute emergency response
Prometheus
KubernetesDeadlock 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…
Overview
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.
Challenge
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.
Environment
MySQL clusters spanning on-premises and cloud capacity, backing reservation and payment workflows.
Approach
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.
Solution
- 1Analyzed deadlock records and lock wait diagnostics to identify the specific conflicting statement pairs
- 2Traced conflicts back to application transactions and corrected the row access ordering causing them
- 3Reduced transaction scope so external calls no longer executed while row locks were held
- 4Identified the long-running reporting read view driving history list growth and moved it to a dedicated replica
- 5Replaced blind application retries with bounded backoff so contention no longer amplified itself
- 6Established 24/7 escalation to senior engineers with a 15-minute response commitment for peak-period incidents
Outcome
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.
Technologies
PrometheusKubernetesRelated Use Cases
MySQL Replication Lag Remediation
Resolving replica lag that grew to hours during batch windows because single-threaded apply could not keep pace with large multi-row transactions.
MySQL 5.7 to 8.0 Upgrade with Online Schema Change
Planning and executing a major version upgrade including character set migration and online schema changes on large tables using gh-ost.
Need Expert MySQL Support?
AceMQ's senior MySQL engineers have handled this exact type of engagement before. Whether you need architectural guidance, hands-on remediation, or an ongoing managed partnership, we're ready to help.