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Pipeline Status
๐Ÿ”ด Failing
Success Rate (7d)
61.5%
Builds (7d)
13
Median Duration
253m
P95: 326m
DORA Level
Medium
Deployment Frequency
3.2 / week
high
How often builds are deployed. Elite: >7ร—/week, High: 1โ€“7ร—/week, Medium: monthly, Low: less than monthly.
Lead Time
3.5h
high
Time from commit to production. Elite: <1h, High: <1d, Medium: <1wk, Low: >1wk.
Change Failure Rate
36.8%
low
Percentage of deployments causing a failure. Elite: <5%, High: <10%, Medium: <15%, Low: โ‰ฅ15%.
MTTR
41.8h
medium
Mean time to restore service after a failure. Elite: <1h, High: <1d, Medium: <1wk, Low: >1wk.

Monthly Overview

Success Rate (MoM)
47.4%
โ–ฒ +10.5% vs prior month
Total Builds (MoM)
61
โ–ฒ +33 vs prior month
Avg Duration (MoM)
158.2 min
โ–ฒ +27.1 min vs prior month
DORA Level
Low
This month

Monthly Overview

Monthly Build Outcomes
Monthly Build Duration
Monthly Success Rate by Repo
DORA Level Trend
Build Success Rate
Daily Build Outcomes
Build Duration Trends
Avg Duration by Repo
Failure Category Breakdown
MTTR
41.8h
Mean Time to Recovery
MTBF
31.1h
Mean Time Between Failures
Flakiness Leaderboard โ€” Top 10 Flaky Jobs
# Job Name Repo Runs Failures Failure Rate Flakiness Index Last Failure Top Failing Step
1 build / arm64-prebuild cli 48 28 5833.3%
0.360
yesterday Run build
2 test / empty-files-build cli 48 31 6458.3%
0.350
yesterday Run Build
3 build / amd64-prebuild cli 48 29 6041.7%
0.345
yesterday Run build
4 test / podman-build cli 48 33 6875.0%
0.329
yesterday Run extractions/setup-just@5316โ€ฆ
5 test / iso-from-image cli 48 32 6666.7%
0.329
yesterday Run extractions/setup-just@5316โ€ฆ
6 test / container-podman-build cli 48 32 6666.7%
0.323
yesterday Run Build
7 test / multi-platform-podman cli 48 32 6666.7%
0.323
yesterday Run Build
8 test / docker-build cli 48 32 6666.7%
0.323
yesterday Run Build
9 test / multi-platform-docker cli 48 32 6666.7%
0.323
yesterday Maximize build space
10 test / docker-build-external-login cli 48 32 6666.7%
0.323
yesterday Run Build
Builds Per Day
Avg Queue Wait Time
Build Trigger Breakdown
Builder Comparison โ€” All Repos
Repo Success Rate 7d Success Rate 30d Avg Duration Total Runs (7d) Last Stream Status
base-images 50.0% 42.4% 282m 8 ๐ŸŸข success
cli 0.0% 0.0% 16m 1 ๐Ÿ”ด failure
modules 100.0% 100.0% 27m 4 ๐ŸŸข success

Stream Health

Repo Stream 7d Rate 30d Rate Runs (7d) Avg Duration Last Run Status
base-images build 50.0% 42.4% 8 282m 21h ago ๐ŸŸข
cli main 0.0% 0.0% 1 16m 1d ago ๐Ÿ”ด
modules build 100.0% 100.0% 4 27m 13h ago ๐ŸŸข
Publish Reliability
Repos at Full Coverage
1/3
โ‰ฅ95% success rate (7d)
Overall 7d Success Rate
50.0%
Avg across all repos
Repos with Recent Activity
3/3
Total runs > 0 (7d)

Publish step tracking requires live build data โ€” shown after first successful CI run.

Supply Chain Security

base-images
Cosign Signing
0.0%
30d success rate
SBOM Coverage
0.0%
30d success rate
cli
Cosign Signing
100.0%
30d success rate
SBOM Coverage
0.0%
30d success rate
modules
Cosign Signing
100.0%
30d success rate
SBOM Coverage
0.0%
30d success rate

Rates computed from workflow step names over last 30 days. Steps not detected in pipeline are shown as โ€”.

OpenSSF Scorecard

Collecting Scorecard data โ€” check back after the next sync.

Scores from OpenSSF Scorecard. Click a card to view the full report.

Recent Builds
Repo Workflow Branch Trigger Duration Started Jobs
๐ŸŸข modules build no-gpgpchecks PR 13m 2026-05-25T17:40:34Z 2/2 โœ“
๐ŸŸข modules build brewpull PR 14m 2026-05-25T16:18:39Z 2/2 โœ“
๐ŸŸข base-images bluebuild main sched 261m 2026-05-25T10:22:13Z 24/24 โœ“
๐Ÿ”ด cli Main branch build main push 41m 2026-05-24T18:01:34Z 24/41 โœ—
๐ŸŸก cli Main branch build main push <1m 2026-05-24T18:00:43Z 0/0 โœ“
๐ŸŸก cli Main branch build main push <1m 2026-05-24T17:59:53Z 0/0 โœ“
๐ŸŸก cli Main branch build main push <1m 2026-05-24T17:59:24Z 0/0 โœ“
๐ŸŸก cli Main branch build main push <1m 2026-05-24T17:58:58Z 0/0 โœ“
๐ŸŸก cli Main branch build main push <1m 2026-05-24T17:58:32Z 0/0 โœ“
๐ŸŸก cli Main branch build main push 5m 2026-05-24T17:58:14Z 27/27 โœ“
๐ŸŸก cli Main branch build main push 1m 2026-05-24T17:57:20Z 27/27 โœ“
๐ŸŸก cli Main branch build main push 1m 2026-05-24T17:56:10Z 27/27 โœ“
๐Ÿ”ด base-images bluebuild main push 266m 2026-05-24T11:42:28Z 12/24 โœ—
๐ŸŸข modules build main push 21m 2026-05-24T11:41:10Z 2/2 โœ“
๐ŸŸก base-images bluebuild main sched 184m 2026-05-24T08:39:02Z 15/24 โœ—
๐ŸŸข modules build fix-license PR 70m 2026-05-23T20:56:14Z 2/2 โœ“
๐ŸŸข base-images bluebuild fix-license PR 271m 2026-05-23T20:55:42Z 24/24 โœ“
๐Ÿ”ด base-images bluebuild main sched 256m 2026-05-23T08:27:09Z 13/24 โœ—
๐Ÿ”ด base-images bluebuild main sched 255m 2026-05-22T09:40:04Z 19/24 โœ—
๐Ÿ”ด base-images bluebuild main sched 254m 2026-05-21T09:54:41Z 12/24 โœ—

Further Reading

The metrics on this page are grounded in peer-reviewed research and open standards. These resources explain what each metric means, why it predicts software delivery performance, and how to improve it.

Software Delivery Performance
DORA Metrics โ€” Four Keys

The canonical framework for measuring software delivery: Deployment Frequency, Lead Time for Changes, Change Failure Rate, and Time to Restore Service. Published by Google Cloud's DevOps Research and Assessment team and validated across thousands of organizations since 2014.

Supply Chain Security
OpenSSF Scorecard

Automated security health checks for open source projects, scoring 0โ€“10 across checks including signed releases, SBOM presence, branch protection, pinned dependencies, and CI test coverage. Produced by the Open Source Security Foundation (OpenSSF), a Linux Foundation project.

Supply Chain Security
SLSA โ€” Supply-chain Levels for Software Artifacts

A graduated framework (L0โ€“L3) for verifiable software build integrity. Each level adds stronger guarantees: L1 means provenance exists, L2 means it is signed by a hosted build platform, L3 means the build environment itself is hardened and isolated. Developed by Google and adopted as an OpenSSF standard.

Supply Chain Security
Sigstore / Cosign

Keyless, identity-based artifact signing backed by a public transparency log (Rekor). Cosign signs and verifies container images and release artifacts using short-lived OIDC certificates โ€” no long-lived private keys to manage or rotate. A CNCF project used by Kubernetes, Tekton, and the Bluefin image pipeline.

Supply Chain Security
SBOM โ€” Software Bill of Materials

A machine-readable inventory of every component and dependency in a software artifact. SBOMs make vulnerability response faster โ€” when a new CVE is published, you can immediately know which of your images are affected. The OpenSSF SBOM Everywhere SIG maintains tooling guidance and naming conventions.

Supply Chain Security
CNCF TAG Security โ€” Supply Chain Best Practices

The CNCF Technical Advisory Group for Security publishes authoritative whitepapers on cloud-native supply chain security. The Software Supply Chain Best Practices paper (v2, 2025) and the Secure Software Factory reference architecture define the practices that the Scorecard and SLSA checks encode.

Platform Engineering
CNCF Platforms White Paper

The authoritative CNCF definition of what internal developer platforms are, what they should measure (user satisfaction, self-service rate, onboarding time), and how platform teams should operate. Published by the TAG App Delivery Platforms Working Group. Recommends DORA metrics as the delivery measurement standard for platform teams.

Platform Engineering
Platform Engineering Maturity Model

A 4-level model (Provisional โ†’ Operational โ†’ Scalable โ†’ Optimizing) across five aspects: Investment, Adoption, Interfaces, Operations, and Measurement. Helps platform teams understand where they are and what practices characterize the next level. Published by the CNCF TAG App Delivery Platforms Working Group.

Platform Engineering
Cloud Native Maturity Model

A 5-level model (Build โ†’ Operate โ†’ Scale โ†’ Improve โ†’ Adapt) across Business Outcomes, People, Process, Policy, and Technology. Maintained by the CNCF Cartografos Working Group. Version 4 (2025) adds AI and FinOps dimensions. Useful for understanding where cloud-native adoption fits in the broader organizational journey.

Research
Accelerate โ€” The Science of Lean Software and DevOps

The peer-reviewed research behind DORA metrics. Nicole Forsgren, Jez Humble, and Gene Kim identified 24 technical, process, and cultural capabilities that predict software delivery performance and organizational outcomes. Required reading for understanding why deployment frequency and lead time matter.

Research
SRE Golden Signals

Google's Site Reliability Engineering book defines four signals sufficient to monitor any user-facing service: Latency, Traffic, Errors, and Saturation. These are the production observability complement to DORA โ€” they define what a "failure" actually is (without them, Change Failure Rate cannot be accurately measured) and predict when MTTR will spike before incidents occur.

Research
SPACE Framework โ€” Developer Productivity

DORA measures what the pipeline does; SPACE measures how developers experience it. Developed by Nicole Forsgren (GitHub), Margaret-Anne Storey, and colleagues at Microsoft Research. Five dimensions: Satisfaction, Performance, Activity, Communication/Collaboration, and Efficiency. Never measure activity in isolation.