$megatools --cron-collision --client-side

Distributed Cron Collision & Thundering Herd Analyzer

Detect thundering herd spikes, simulate 24h multi-cron concurrency heatmaps, and optimize schedule offsets with 1-click jittering.

⚡ Load Sample Fleet:

Peak Concurrency

9jobs/min

at 00:00

Collision Risk

76%Grade F

Thundering Herd Severity

Critical Clashes

1minutes

≥ 5 jobs concurrent

High Clashes

23minutes

3–4 jobs concurrent

Active Fleet

9/ 9 jobs

Scheduled in fleet

Daily Triggers

78runs

In 24h simulation window

🕒 24-Hour Fleet Concurrency Wave

Click any hour bar below to inspect the 60-minute second-by-second collision drilldown.

Safe (1) Moderate (2) High (3-4) Critical (5+)

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00:00 – 00:59

Hour 00 Detailed Minute-by-Minute View

Max concurrency: 9 jobs • Total executions: 9

:009wt:31

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$ cat tips.txt

Client-Side • Multi-Cron Concurrency & Jitter Optimizer

How to Use

1Paste your multi-line crontab or load a real-world fleet scenario preset
2Inspect the 24-Hour Timeline and Heatmap to pinpoint high-concurrency thundering herd spikes
3Review the Collisions List to identify all jobs clashing at identical timestamps
4Use 1-Click Smart Jitter to rebalance conflicting schedules and export your optimized crontab or Kubernetes YAML

Stats

Peak Concurrency:9 jobs (00:00)

Collision Risk:76% (Grade F)

Critical Clashes:1 minutes

Active Fleet:9/9 jobs

Tips

•Avoid scheduling heavy maintenance jobs on exact hour boundaries (:00)
•Use prime-minute offsets (e.g., :17, :37) to prevent harmonic collisions across recurring intervals
•Consider resource impact weights when scheduling database vacuum, indexing, and backup jobs

Example

Input

0 0 * * * backup.sh 0 0 * * * vacuum.sh 0 0 * * * sync.sh

Output

Critical Collision: 3 concurrent tasks at 00:00. Rebalance recommendation: offset to :14 and :28.