For Platform & DevEx Engineers

Debug your pipelines like you debug your code

Get per-job cost breakdowns, spot inefficient workflows, and prove the ROI of your optimization work. The observability layer your CI/CD deserves.

Join platform teams from growing SaaS companies.

Your daily reality:

"This workflow takes 45 minutes. Is that normal? I have no baseline."

"I optimized caching last month. Did it actually save money? No idea."

"Which jobs in this matrix build are actually expensive?"

"Flaky tests are wasting compute but I can't quantify the impact."

You've got observability for everything except CI/CD costs

Datadog for your infrastructure. Sentry for errors. PagerDuty for incidents. But for CI/CD--the system you're responsible for optimizing--you're flying blind.

$0.006

per minute (Linux) seems cheap until you're running 500K minutes/month

10x

macOS costs vs Linux—one iOS build can dominate your bill

30%

of CI spend wasted on failed runs, retries, and flaky tests

Per-job cost visibility

Drill down from organization spend to individual jobs. See exactly which steps, runner types, and configurations drive your costs.

  • Job-level cost breakdown

    See which jobs in your workflow cost the most

  • Runner type analysis

    Compare costs across Linux, macOS, and Windows runners

  • Duration tracking

    Billable minutes calculated from job timestamps

  • Matrix job insights

    Understand cost distribution across matrix builds

ci.yml acme/api-service
Last 30 days

Total Cost

$312.45

Runs

142

Avg Cost

$2.20

Failures

12

Jobs by Cost

build ubuntu-latest
$89.20
test-e2e ubuntu-latest
$78.45
test-ios macos-13
$124.80
deploy ubuntu-latest
$20.00

Optimization Opportunities

Save ~$180/mo

Enable dependency caching

build job runs 12min without cache

→ Add actions/cache for node_modules

~$95/mo

High failure rate detected

test-e2e fails 28% of runs

→ $48/mo wasted on failed runs

~$48/mo

Consider runner change

test-ios could use macos-14 (ARM)

→ 30% faster at same cost

~$37/mo

Actionable optimization recommendations

CostOps analyzes your workflow patterns and surfaces specific, actionable opportunities to reduce spending. No more guessing where to focus.

  • Identify workflows missing dependency caching
  • Flag high-failure-rate workflows (wasted spend)
  • Suggest runner type changes (e.g., ARM macOS)
  • Estimated dollar savings for each recommendation

Prove your platform team's impact

Track the ROI of your optimization work with before/after comparisons and trend analysis.

Trend Analysis

Track cost trends over time. See the impact of your optimizations week over week, month over month.

Savings Tracking

Document the dollar impact of each optimization. Build a track record of cost reduction wins.

Exportable Reports

Generate CSV exports for leadership reviews. Show management exactly what your team has saved.

Why now?

Platform teams are being asked to do more with less. CostOps helps you deliver.

GitHub's March 2026 pricing changes

New platform charges on self-hosted runners mean CI cost optimization is no longer optional. Get visibility now before the new pricing takes effect.

Platform teams under pressure to show ROI

In the current climate, infrastructure and platform work needs to demonstrate clear business value. Cost optimization is the most visible way to show impact.

CI complexity is outpacing visibility

More repos, more workflows, more matrix builds, more platforms. Without proper tooling, you can't keep up with the cost implications of your growing CI infrastructure.

Built for platform engineers

2 min

Setup with GitHub App

Job-level

Cost granularity

Read-only

No code access

Real-time

Webhook-driven updates

Built by engineers who've managed CI spend at scale.

Treat CI costs like the production system they are

Get the observability you need to optimize your pipelines and prove your team's impact.

Free for GitHub's included minutes. No credit card required.

View all features → See pricing →