For the complete documentation index, see llms.txt. This page is also available as Markdown.

Monitor

Learn how to keep track of deployed pipelines.

Monitor overview

On the Monitor page, you can keep track of created pipelines and get data on the executed pipelines.

Page controls

  1. Select the environment, test or prod, on the top left of the page.

  2. Use the Pipeline Name filter to narrow results by pipeline. Select a pipeline from the list or type to search.

  3. Use the time period selector to filter the time range of the overview report. You can select a predetermined time period between the last 15 minutes and the last 30 days, or specific start and end dates and times.

  4. Press Enter.

Filtering by pipeline name

The Name field is an autocomplete that lists available pipelines. It supports two search modes:

Mode
How to
Result

Exact

Click an option in the dropdown list.

Filters results for that specific pipeline.

Approximate

Type a term and press Enter.

Filters results by similarity.

The list supports infinite scroll and loads more results as you navigate down.

Auto refresh

Use the refresh data function to automatically update data according to the selected interval:

  • 30 seconds

  • 1 minute

  • 5 minutes

This option is deactivated by default. To activate it, select Auto refresh on.

Percentile metrics

Select a percentile metric to identify how quickly the selected pipeline responds to requests. The selected percentile appears on the Overview chart.

Metric
Description

Average (avg)

The mean value of all executions in the selected time period. Not to be confused with the p50 metric.

p50 (50th percentile)

The median processing time. Helps you understand the typical performance of the pipeline.

p90 (90th percentile)

90% of executions had a processing time equal to or less than the displayed value.

p95 (95th percentile)

95% of executions occurred below the indicated value. Useful for identifying performance degradation.

p99 (99th percentile)

The processing time under which 99% of executions were completed. The remaining 1% are considered exceptions and may indicate more serious issues or behavior outside of the expected pattern.

Use the Average option for a general overview of performance, especially in scenarios with low variability. To better understand the behavior of most executions in flows with spikes or outliers, use percentiles instead.

Overview table

The overview table shows a summary of the executions of the most executed pipelines in the selected period. It includes:

  • Pipeline name

  • Pipeline version

  • Total number of executions

  • Errors or failed executions

  • Average pipeline execution time

Select the three-dot icon at the end of each row to open the Executions, Logs, Metrics, or Alerts pages for that pipeline. These pages are already filtered to show only data relevant to the selected pipeline, making it easier to view specific information.

Overview chart

In the overview chart, you can see the number of successful and failed executions, as well as the average, minimum, and maximum execution time for the pipelines shown in the table. You can also select a pipeline from the table to view only its data in the chart.

Time period filter

Filter pipeline execution data by time period. Select the last 5, 15, 60 minutes, 1 day, or define a custom time range.

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