5179 cron tab visualisation

sites/upsun/src/increase-observability/application-metrics/cron-metrics.md

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+---
+title: Monitor Cron job executions
+description: Learn how to visualize and interpret your Cron job runs directly in the console.
+weight: -5
+keywords:
+  - "cron"
+  - "jobs"
+  - "monitor"
+  - "logs"
+  - "console"
+---
+
+You can view your [Cron job](/create-apps/app-reference/single-runtime-image.html#crons) executions directly from your project’s Services > Apps or Services > Workers pages. This visualization helps you quickly understand how scheduled jobs are performing and spot unusual patterns without manually checking logs.
+
+Each execution is represented visually, letting you monitor performance trends and failures at a glance.
+
+This makes it easier to:
+
+- Verify that scheduled jobs are running on time.
+- Identify failed or unusually long-running jobs.
+- Drill into logs only when something looks wrong.
+
+## How to view Cron job executions
+
+1. Open your project in the Console.  
+2. Select your chosen Environment.
+3. Navigate to:
+   - Services --> Apps & Services --> Apps --> app
+   - Services --> Apps & Services --> Apps --> Workers (for background jobs).  
+4. Click the **Crons** tab to view your scheduled jobs.  
+
+Each Cron job displays a visual history of its executions over time.
+
+## Understanding the visualization
+
+Each execution appears as a vertical bar in the visualization:
+
+| Visual element | Meaning | Example |
+|----------------|----------|----------|
+| **Color** | Indicates success or failure. | Green = success, Red = failure |
+| **Height** | Proportional to the job’s execution time. | Taller bars indicate longer runtimes |
+| **Click a bar** | Opens detailed logs for that specific run. | Review stdout/stderr for debugging |
+
+This combination of color and height helps in spotting outliers, for example:
+
+- A sudden tall red bar indicates a failed job that took longer than usual.
+- Consistently tall green bars suggest a job that may need optimization.
+
+Each vertical bar corresponds to a single execution. Hover over any bar to view basic details such as:
+
+- Execution date and time
+- Duration
+- Status (success/failure)
+
+Click a bar to open the detailed execution log, where you can inspect errors or performance information.
+
+## Troubleshooting and best practices
+
+- **Monitor for patterns**: Look for recurring red (failed) bars or progressively longer runtimes.  
+- **Drill into logs**: Clicking a bar takes you directly to logs for that specific execution.  
+- **Correlate with metrics**: Combine this view with [application metrics](/increase-observability/application-metrics.html) to identify performance bottlenecks.  
+- **Adjust Cron timing**: If jobs overlap or run too frequently, adjust their schedule in your [`crons` configuration](/create-apps/app-reference/single-runtime-image.html#crons).  
+
+{{< note theme="info" title="Investigate consistently high durations" >}}
+If you notice that your Cron job runtimes are consistently increasing, this may indicate:
+
+- Growing data volumes,
+- Inefficient queries
+- Resource limits being reached.
+
+Use profiling tools like [Blackfire](/increase-observability/application-metrics/blackfire.html) to identify and resolve performance issues.
+
+{{< /note >}}
+
+## When to check Cron execution history
+
+| Use case | Why it’s useful |
+|-----------|----------------|
+| **Autoscaling investigations** | Understand whether jobs are driving unexpected CPU or memory spikes. |
+| **Deployment monitoring** | Verify that scheduled jobs resume normally after deployments. |
+| **Job failure analysis** | Quickly locate the time and context of a failed execution. |
+| **Performance tuning** | Spot trends in runtime duration and optimize resource usage. |
+
+## Related content
+
+- [Define and schedule Cron jobs](/create-apps/app-reference/single-runtime-image.html#crons)  
+- [Application metrics](/increase-observability/application-metrics.html)  
+- [Consume logs](/increase-observability/logs.html)  
+- [Blackfire for PHP and Python](/increase-observability/application-metrics/blackfire.html)