Cron Expression Every 5 Minutes Explained: */5 * * * * and Common Variations

Of all cron expressions, */5 * * * * is one of the most commonly used—and frequently misunderstood. This simple pattern executes a task every 5 minutes, making it perfect for monitoring, data synchronization, health checks, and other operations that need regular, frequent execution. Let's explore exactly how it works, when to use it, and common variations.

Decoding */5 * * * *

The expression */5 * * * * breaks down into five fields:

• */5 - Minute field: Every 5 minutes
• * - Hour field: Every hour
• * - Day of month field: Every day
• * - Month field: Every month
• * - Day of week field: Every day of the week

The key is understanding the */5 syntax in the minute field.

How the Slash Operator Works

The slash (/) creates step values or intervals. When you write */5 in the minute field, you're telling cron:

"Start at the minimum value (0), then step by 5."

This means the task executes when the minute value is divisible by 5 with no remainder:

• Minute 0 (12:00, 1:00, 2:00, etc.)
• Minute 5 (12:05, 1:05, 2:05, etc.)
• Minute 10 (12:10, 1:10, 2:10, etc.)
• Minute 15 (12:15, 1:15, 2:15, etc.)
• Minute 20 (12:20, 1:20, 2:20, etc.)
• Minute 25 (12:25, 1:25, 2:25, etc.)
• Minute 30 (12:30, 1:30, 2:30, etc.)
• Minute 35 (12:35, 1:35, 2:35, etc.)
• Minute 40 (12:40, 1:40, 2:40, etc.)
• Minute 45 (12:45, 1:45, 2:45, etc.)
• Minute 50 (12:50, 1:50, 2:50, etc.)
• Minute 55 (12:55, 1:55, 2:55, etc.)

That's 12 times per hour, 288 times per day (24 hours × 12 executions).

What */5 Actually Means

The */5 pattern is shorthand for 0-59/5, which means "every 5 minutes within the range 0 to 59." Since 0-59 encompasses all possible minute values, the asterisk serves as a convenient shortcut.

The task doesn't run at random 5-minute intervals—it runs at predictable, clock-aligned times. If you start your cron job at 3:17 PM, it won't run at 3:17, then 3:22, then 3:27. Instead, it waits until the next 5-minute mark (3:20 PM), then runs at 3:20, 3:25, 3:30, and so on.

Common Use Cases for Every 5 Minutes

Running tasks every 5 minutes strikes a balance between frequency and system load. Here's where this pattern shines:

System Monitoring

Monitoring systems often check health status every 5 minutes:

*/5 * * * * /usr/local/bin/check-server-health.sh

This frequency catches problems quickly without overwhelming your monitoring infrastructure. For critical systems, you might go tighter (every minute), but for most applications, 5-minute intervals provide adequate responsiveness.

API Data Synchronization

Pulling data from external APIs on a regular cadence:

// Node.js with node-cron
cron.schedule('*/5 * * * *', async () => {
  try {
    const data = await fetchExternalAPI();
    await saveToDatabase(data);
    console.log('Data synced at', new Date());
  } catch (error) {
    console.error('Sync failed:', error);
  }
});

This ensures your application has reasonably fresh data without hitting rate limits that might come from per-minute requests.

Cache Warming

Regenerating frequently-accessed cached data:

# Python with APScheduler
@scheduler.scheduled_job(CronTrigger.from_crontab('*/5 * * * *'))
def warm_cache():
    popular_pages = get_popular_pages()
    for page in popular_pages:
        regenerate_cache(page)

Queue Processing

Checking for pending jobs in a work queue:

// Java Spring
@Scheduled(cron = "0 */5 * * * *")  // Note: Spring uses 6 fields
public void processQueue() {
    List<Job> pendingJobs = jobRepository.findPending();
    for (Job job : pendingJobs) {
        processJob(job);
    }
}

Log Analysis

Aggregating or analyzing recent log entries:

*/5 * * * * /usr/local/bin/analyze-logs.py --last 5m

The 5-minute interval matches the time window being analyzed, ensuring continuous coverage without overlap.

Availability Checks

Testing website or service availability:

cron.schedule('*/5 * * * *', async () => {
  const isUp = await checkServiceHealth('https://example.com');
  if (!isUp) {
    await sendAlert('Service is down!');
  }
});

Common Interval Variations

While every 5 minutes is popular, other intervals serve different needs:

Every Minute: * * * * *

* * * * *

The most frequent possible schedule—1,440 executions per day. Use sparingly:

• Critical system monitoring
• Real-time data processing
• High-frequency trading systems
• Urgent queue processing

Warning: Every-minute execution can strain resources. Ensure your task completes in under 60 seconds to avoid overlapping runs.

Every 2 Minutes: */2 * * * *

*/2 * * * *

Runs at minutes 0, 2, 4, 6, 8... 58 (30 times per hour). A middle ground between every minute and every 5 minutes for moderately urgent tasks.

Every 10 Minutes: */10 * * * *

*/10 * * * *

Runs at minutes 0, 10, 20, 30, 40, 50 (6 times per hour). Good for:

• Less critical monitoring
• Periodic data fetches
• Regular database maintenance
• Report generation

Every 15 Minutes: */15 * * * *

*/15 * * * *

Runs at minutes 0, 15, 30, 45 (4 times per hour). Common for:

• Scheduled backups during business hours
• Regular status updates
• Moderate-frequency synchronization

This interval aligns nicely with quarter-hours, making it easy to remember and communicate.

Every 30 Minutes: */30 * * * *

*/30 * * * *

Runs at minutes 0 and 30 (twice per hour). Popular for:

• Hourly-ish tasks that don't need precision
• Resource-intensive operations
• Less frequent data updates

Note: */30 is equivalent to 0,30 but more semantic—it clearly states "every 30 minutes."

Every Hour: 0 * * * *

0 * * * *

Runs at the top of every hour (XX:00). The next step up from minute-based intervals:

• Hourly reports
• Log rotation
• Cache clearing
• Scheduled emails

Restricting Intervals to Specific Times

The real power comes from combining interval patterns with time restrictions:

Every 5 Minutes During Business Hours

*/5 9-17 * * 1-5

Runs every 5 minutes, but only from 9 AM to 5 PM on weekdays. Perfect for:

• Business hours monitoring
• Support ticket checking
• API rate limit management (spread requests during work hours only)

Every 10 Minutes at Night

*/10 0-6 * * *

Runs every 10 minutes from midnight to 6 AM. Useful for:

• Off-hours maintenance
• Background processing during low traffic
• Database optimization

Every 15 Minutes on Weekdays

*/15 * * * 1-5

Every 15 minutes, but only Monday through Friday:

• Business day automation
• Weekday-only integrations
• Office hours tasks

Every 5 Minutes for a Few Hours

*/5 8-12 * * *

Every 5 minutes from 8 AM to noon:

• Morning rush monitoring
• Limited-time promotions
• Targeted processing windows

Performance Considerations

Running tasks every 5 minutes seems innocent, but 288 daily executions add up:

Execution Time

Ensure your task completes in under 5 minutes. If not, implement concurrency controls to prevent overlapping executions:

let isRunning = false;

cron.schedule('*/5 * * * *', async () => {
  if (isRunning) {
    console.log('Previous execution still running, skipping...');
    return;
  }

  isRunning = true;
  try {
    await performTask();
  } finally {
    isRunning = false;
  }
});

Resource Impact

Each execution consumes CPU, memory, network, or database resources. For 288 daily runs:

• Database queries should be optimized
• API calls should respect rate limits
• Logs should be manageable in volume
• Memory leaks compound quickly

Error Handling

With frequent execution, errors happen. Implement proper logging and alerting:

import logging

@scheduler.scheduled_job(CronTrigger.from_crontab('*/5 * * * *'))
def frequent_task():
    try:
        result = perform_operation()
        logging.info(f'Task completed successfully: {result}')
    except Exception as e:
        logging.error(f'Task failed: {e}')
        # Don't alert on every failure—implement threshold-based alerting
        if consecutive_failures > 3:
            send_alert(f'Task has failed 3+ times: {e}')

Rate Limiting

If your 5-minute task calls external APIs, verify the rate limit:

• 12 calls per hour
• 288 calls per day
• ~8,640 calls per month

Ensure this fits within API quotas. If not, consider less frequent intervals.

Alternatives to Fixed Intervals

Sometimes fixed 5-minute intervals aren't ideal:

Event-Driven Triggers

Instead of checking for new data every 5 minutes, have the data source trigger your task via webhooks or message queues. This eliminates unnecessary checks and provides instant response.

Exponential Backoff

For failure scenarios, consider increasing interval on repeated failures:

• First failure: Retry after 1 minute
• Second failure: Retry after 5 minutes
• Third failure: Retry after 15 minutes
• Fourth failure: Retry after 1 hour

Dynamic Scheduling

Adjust frequency based on load or time of day:

// Pseudo-code example
const interval = isDaytime() ? '*/5' : '*/30';
cron.schedule(`${interval} * * * *`, task);

Testing 5-Minute Intervals

Don't wait 5 minutes to test! Options include:

Use Every Minute for Testing:

* * * * *  # Test version
*/5 * * * *  # Production version

Mock Time: Many cron libraries support artificial time advancement for testing.

Manual Triggers: Implement a manual trigger endpoint or command to run the task on-demand:

// HTTP endpoint for manual execution
app.post('/api/trigger-task', async (req, res) => {
  await task();
  res.json({ status: 'executed' });
});

Getting the Syntax Right

Creating the perfect interval expression is crucial. A small typo can mean the difference between every 5 minutes and every 5 hours. Use our Cron Expression Builder to visually create and validate your expression. You'll see exactly when your task will run, with plain English translations that eliminate ambiguity.

Whether you need standard */5 * * * * or a complex variation restricted to specific hours and days, getting the cron syntax right ensures your automation runs exactly when you need it—no more, no less.