Cron Job Collision
Cron job collisions are silent failures. The individual jobs may complete without errors, but the concurrent execution degrades performance, corrupts data, or causes cascading failures that appear unrelated. A backup job and a database dump running at the same time is a classic example — both appear to succeed but the backup captures a mid-write database state.
The collision problem compounds on low-spec servers where scheduled tasks like log rotation, backup, cache clearing, and report generation are all set to run at midnight or hourly boundaries (0 * * * *).
Types of Collision
Resource collision — two jobs competing for CPU/disk causes both to run slower. Common with backup jobs on I/O-limited VPS instances. Lock collision — two jobs trying to acquire the same file lock or database advisory lock. One waits, one times out. Data collision — two jobs reading and writing the same dataset. Most dangerous — can cause partial writes and corrupted state.
flock as the Standard Fix
flock is the standard Linux tool for preventing concurrent cron job execution. Wrapping a cron command with flock -n /tmp/job.lock ensures only one instance runs at a time. If the lock cannot be acquired (a previous instance is still running), the new invocation exits immediately without error.
Related Tools
Fix Guides
Frequently Asked Questions
crontab -l output into ConfigClarity's Cron Visualiser. It renders a 24-hour timeline showing every job's execution window and flags overlapping windows in red with a collision report.flock -n /tmp/jobname.lock command. If the previous run is still executing when the next scheduled run starts, the new invocation exits immediately instead of running concurrently.0 0 * * *. When multiple tasks pile up at the same minute, the server CPU and I/O spike simultaneously. Spread jobs across off-peak minutes — 0:05, 0:15, 0:30, 0:45.