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Analytics

CICosts analytics help you understand spending patterns, identify optimization opportunities, and make data-driven decisions about your CI/CD infrastructure.

Analytics Dashboard​

The trend chart shows daily costs over time:

  • Daily view: Individual day costs
  • Weekly view: Week-over-week comparison
  • Monthly view: Month-over-month trends

Interactive features:

  • Hover for exact values
  • Click to drill down
  • Drag to select date range
  • Toggle between chart types (bar, line, area)

Cost Distribution​

Understand where your money goes:

By Repository

  • Pie chart showing percentage per repo
  • Click to drill into specific repos
  • Identify your most expensive projects

By Workflow

  • Which workflows cost the most
  • Often 20% of workflows = 80% of costs
  • Find optimization candidates

By Runner Type

  • Linux vs. Windows vs. macOS
  • Small vs. large runners
  • Identify over-provisioning

Time-Based Analysis​

By Day of Week

  • Which days are most expensive
  • Correlate with development patterns
  • Plan maintenance windows

By Hour

  • Peak usage times
  • Off-hours spending (automation)
  • Timezone patterns for distributed teams

Key Insights​

CICosts automatically surfaces actionable insights:

Cost per PR​

Track the true cost of your development process:

Cost per PR = Total CI Costs / Number of PRs Merged

Insights include:

  • Average cost per PR
  • PRs with unusually high CI costs
  • Trends over time

Workflow Efficiency​

Identify inefficient workflows:

MetricWhat It Shows
Cost per successCost of each successful run
Failure costMoney spent on failed runs
Retry costCost of re-runs
Queue timeTime waiting for runners

Runner Optimization​

Find opportunities to right-size runners:

  • Jobs using 8-core that could use 4-core
  • Long queue times suggesting capacity issues
  • macOS jobs that could run on Linux
  • Windows jobs that could be containerized

Reports​

Scheduled Reports​

Set up automated reports (Pro+):

  1. Go to Settings → Reports
  2. Click Create Report
  3. Choose frequency (daily, weekly, monthly)
  4. Select recipients
  5. Customize content

Report types:

  • Cost Summary: High-level spend overview
  • Detailed Breakdown: Repository and workflow details
  • Trend Analysis: Period-over-period comparison
  • Anomaly Report: Unusual activity summary

Custom Reports​

Build ad-hoc reports:

  1. Set date range
  2. Choose dimensions (repo, workflow, runner)
  3. Select metrics (cost, runs, duration)
  4. Apply filters
  5. Export or share

Data Export​

CSV Export​

Download data for external analysis:

date,repository,workflow,runs,total_cost,avg_cost
2024-01-15,api-service,ci.yml,45,$123.45,$2.74
2024-01-15,web-app,tests.yml,32,$89.00,$2.78

JSON Export​

For programmatic access:

{
  "date_range": {
    "start": "2024-01-01",
    "end": "2024-01-31"
  },
  "total_cost": 1847.23,
  "repositories": [
    {
      "name": "api-service",
      "cost": 892.45,
      "workflows": [...]
    }
  ]
}

API Access​

Use the CICosts API for custom integrations.

Historical Data​

Retention Periods​

PlanRetention
Free30 days
Pro1 year
Team1 year

What You Can Do​

With historical data:

  • Compare month-over-month trends
  • Identify seasonal patterns
  • Track optimization impact
  • Budget planning based on history

Analytics Use Cases​

Budget Planning​

Use historical data to plan future budgets:

  1. Export 6-12 months of data
  2. Calculate average monthly spend
  3. Identify growth trends
  4. Add buffer for variability
  5. Set realistic targets

Cost Allocation​

Allocate CI costs to teams or projects:

  1. Group repositories by team
  2. Export cost data per repo
  3. Aggregate by team/project
  4. Include in department budgets

Optimization Tracking​

Measure the impact of optimizations:

  1. Note the start date of optimization
  2. Compare before/after periods
  3. Calculate savings
  4. Document for future reference

Next: Multi-Org Support →