Why this problem matters
Ticket scarcity or growing queues can indicate operations waiting before execution. Fields vary by version, so one counter should not be treated as a definitive cause.
How to diagnose it
Carefully inspect available wiredTiger.concurrentTransactions and queues sections in serverStatus(). Compare findings with CPU, disk latency, locks, and query volume.
These sections may be absent or differ across MongoDB versions. The command only reads currently exposed server metrics.
const s = db.serverStatus();
({concurrentTransactions: s.wiredTiger && s.wiredTiger.concurrentTransactions, queues: s.queues})A safe solution approach
Reduce long operations and storage bottlenecks first to shorten ticket holding time. Consider server-parameter changes only after reviewing version-specific defaults and behavior.
Why continuous monitoring matters
Continuous monitoring distinguishes temporary bursts from sustained ticket or queue pressure. moon monitors with low overhead and routes Slack, PagerDuty, or webhook alerts.
Frequently asked questions
Will increasing ticket counts solve queue pressure?
Not always, because disk or long operations may be the real bottleneck. Confirm the waiting cause and resource saturation first.
How does moon help with this problem?
moon continuously observes SQL Server, PostgreSQL, and MongoDB signals, helping teams evaluate the problem as a trend instead of relying on a one-time check.