The Analytics page gives you a view of your CI job performance over a chosen date range. Use it to monitor job throughput, diagnose failure patterns, track runtime trends, and understand how many CI minutes you're consuming.

The Analytics page showing the date-range filter, four summary metric cards, a Job Outcome Breakdown, and a Recent Daily Activity table.

Filters

The Filter panel at the top scopes every metric and chart on the page. Filters are additive - applying more than one narrows results to jobs that satisfy all of them.

Filter	Description
Start / End	The date range to analyze. All metrics and charts reflect jobs that ran within this window.
Repository	Scope to one or more repositories in your organization.
Users	Scope to jobs triggered by specific team members.
Runner	Scope to specific runner configurations to compare performance across machine sizes.

All summary metrics, the outcome breakdown, the daily activity table, and every trend chart respect the active filters and the selected date range simultaneously. Changing any of them re-renders the page.

Summary Metrics

Four cards at the top summarize the filtered dataset for the selected range.

Metric	Description
Total Completed Jobs	Count of all completed job executions matching the filters and date range.
Average Runtime	Mean wall-clock duration across all matching jobs, from start to completion.
Failure Rate	The share of completed jobs that ended in a non-success state, as a percentage.
Total CI Minutes	The cumulative compute minutes consumed by all matching jobs in the range.

Job Outcome Breakdown

The Job Outcome Breakdown shows the final-status distribution for all completed jobs in the selected range. A stacked bar visualizes the proportions, and each outcome is listed with its job count and percentage.

Outcome	Meaning
Successful	Jobs that completed successfully.
Failed / timed out	Jobs that errored or exceeded their time limit. These need attention.
Cancelled	Jobs that were stopped before completion.

A high Failed / timed out share is the fastest signal that something needs attention. Apply the Repository filter to isolate which project is driving failures.

Recent Daily Activity

The Recent Daily Activity table lists the most recent active days in the range, summarizing volume, reliability, and consumed minutes per day.

Column	Description
Date	The activity day.
Jobs	Number of jobs that ran that day.
Failed	Number of those jobs that failed.
Failure Rate	Failed jobs as a percentage of that day's total.
Total Minutes	CI minutes consumed that day.

Use this table to spot a single bad day - for example a date with a 100% failure rate - and correlate it with the trend charts below.

Trend Charts

Three line charts plot trends across the selected date range on a shared time axis, making it easy to correlate volume, reliability, and cost over time.

The Analytics trend charts: Job Runs, Failure Rate, and Total Time over the selected date range.

Job Runs

The primary volume trend - the number of job executions over the selected window. Spikes correspond to release cycles, merge queues, or scheduled batch workflows.

Failure Rate

The percentage of jobs that failed over time. Cross-reference with Job Runs to distinguish genuine instability from noise caused by low job volume.

Total Time

The total CI minutes consumed across runs over time. A sustained rise here without a matching rise in Job Runs means individual jobs are getting slower or routing to larger runners.

Common Use Cases

Investigating a spike in failures

Widen the date range, then watch the Failure Rate chart and Recent Daily Activity table to find the exact day failures climbed. Apply the Repository filter to narrow down which repository is responsible, then the Users filter to see whether a specific author is associated with the regression.

Analytics