Know exactly where your CI/CD budget goes
Measure GitHub Actions runtime, failures, and spend. Find the workflow bottlenecks worth fixing - with evidence from your own pipelines.
Find the waste. Fix the workflow.
Move from a repository-level signal to the exact workflow, job, step, and commit associated with the change.
Ask your coding agent
Pipetrics MCP brings measured runtime, queue, failure, retry, and cost evidence into Codex, Claude Code, OpenCode, and compatible clients.
Learn moreSee where spend goes
Filter Cost Profiler by repository, branch, runner, trigger, conclusion, or billing category.
Learn moreFind what needs attention
Repository insights surface dominant runtime, failed spend, and persistent regressions without dashboard hunting.
Trace bottlenecks
Compare average, median, and p95 duration, then drill into retries, outcomes, jobs, and the slowest steps.
Keep source code private
Pipetrics analyzes read-only GitHub Actions telemetry. Your code stays outside Pipetrics.
Share the signal
Send workflow outcomes to Slack or bring Pipetrics metrics into your existing Grafana dashboards.
Pricing
$0/mo
- unlimited users
- 14 days data retention
- cost profiler(current month)
Coming in 2026
- weekly summary
$10/repo/mo
- unlimited users
- 360 days data retention
- cost profiler (full history)
- grafana integration
- slack notifications
Coming in 2026
- weekly summary
- budget alerts
- automated optimization suggestions
custom price per repo
- unlimited users
- unlimited data retention
- grafana integration
- talk with experts
Coming in 2026
- weekly summary
- budget alerts
- automated optimization suggestions
- GitHub App for GitHub Enterprise Server
- Bring-Your-Own-Database (BYOD)
- GitHub log archive
Follow the evidence
Start with the finding that matters, then drill into the workflow data behind it.
Workflow overview
Workflow analysis
About us
Jakub Różycki
DevOps Engineer and Frontend Development Enthusiast with over 8 years of experience in infrastructure and automation. Started as a Linux Administrator, working with bare metal servers and automating systems using Ansible. Later transitioned into cloud technologies, with hands-on experience across GCP, AWS, and Azure. Currently focused on developer tooling and automation - especially around GitHub Actions and GitLab CI/CD - to help teams move faster and deploy with confidence. Works primarily in the TypeScript ecosystem, with solid experience in Python as well.
Piotr Piwowar
DevOps Engineer with over 5 years of experience designing and operating cloud-native and hybrid infrastructure. Started out building scalable systems for one of Europe’s largest push notification platforms, working extensively with AWS, Azure, and OVHCloud. Comfortable across both cloud and bare-metal environments, with a strong focus on automation, reliability, and performance. Experienced collaborating with engineering teams using Python, Go, Rust, and Java to deliver modern, efficient DevOps solutions.