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Pipeline Status
๐Ÿ”ด Failing
Success Rate (7d)
20.0%
Builds (7d)
10
Median Duration
237m
P95: 316m
DORA Level
Medium
Deployment Frequency
1.4 / week
high
How often builds are deployed. Elite: >7ร—/week, High: 1โ€“7ร—/week, Medium: monthly, Low: less than monthly.
Lead Time
6.9h
high
Time from commit to production. Elite: <1h, High: <1d, Medium: <1wk, Low: >1wk.
Change Failure Rate
63.2%
low
Percentage of deployments causing a failure. Elite: <5%, High: <10%, Medium: <15%, Low: โ‰ฅ15%.
MTTR
76.2h
medium
Mean time to restore service after a failure. Elite: <1h, High: <1d, Medium: <1wk, Low: >1wk.

Monthly Overview

Success Rate (MoM)
8.5%
โ–ผ -18.0% vs prior month
Total Builds (MoM)
63
โ–ฒ +13 vs prior month
Avg Duration (MoM)
148.1 min
โ–ผ -18.9 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
76.2h
Mean Time to Recovery
MTBF
22.8h
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 81 41 5061.7%
0.337
2w ago Run build
2 test / empty-files-build cli 81 56 6913.6%
0.336
2w ago Run Build
3 build / amd64-prebuild cli 81 42 5185.2%
0.331
2w ago Run earthly/actions-setup@43211โ€ฆ
4 test / bluefin-build cli 81 45 5555.6%
0.324
2w ago Run Build
5 test / iso-from-image cli 81 48 5925.9%
0.323
1w ago Run extractions/setup-just@5316โ€ฆ
6 test / docker-build cli 81 46 5679.0%
0.322
2w ago Run Build
7 test / lint cli 81 49 6049.4%
0.321
2w ago Run build
8 test / test cli 81 44 5432.1%
0.320
2w ago Run build
9 test / multi-platform-docker cli 81 47 5802.5%
0.319
2w ago Maximize build space
10 test / container-podman-build cli 81 47 5802.5%
0.319
2w ago 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 25.0% 16.2% 259m 8 ๐ŸŸข success
cli 0.0% 0.0% 22m 2 ๐Ÿ”ด failure
modules 0.0% 0.0% 13m 0 ๐Ÿ”ด failure

Stream Health

Repo Stream 7d Rate 30d Rate Runs (7d) Avg Duration Last Run Status
base-images build 25.0% 16.2% 8 259m 21h ago ๐ŸŸข
cli main 0.0% 0.0% 2 22m 1d ago ๐Ÿ”ด
modules build 0.0% 0.0% 0 13m 12d ago ๐Ÿ”ด
Publish Reliability
Repos at Full Coverage
0/3
โ‰ฅ95% success rate (7d)
Overall 7d Success Rate
8.3%
Avg across all repos
Repos with Recent Activity
2/3
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 base-images bluebuild main sched 252m 2026-08-03T14:17:26Z 24/24 โœ“
๐Ÿ”ด cli Main branch build main push 33m 2026-08-02T19:35:51Z 44/46 โœ—
๐Ÿ”ด base-images bluebuild main sched 280m 2026-08-02T08:31:41Z 23/24 โœ—
๐ŸŸข base-images bluebuild main sched 246m 2026-08-01T14:44:48Z 24/24 โœ“
๐Ÿ”ด base-images bluebuild main sched 265m 2026-07-31T09:10:20Z 22/24 โœ—
๐Ÿ”ด base-images bluebuild main push 270m 2026-07-31T02:02:40Z 12/24 โœ—
๐Ÿ”ด base-images bluebuild main sched 248m 2026-07-30T08:38:37Z 5/24 โœ—
๐Ÿ”ด cli Main branch build main push 41m 2026-07-29T12:39:02Z 45/46 โœ—
๐Ÿ”ด base-images bluebuild main sched 288m 2026-07-29T08:49:20Z 23/24 โœ—
๐Ÿ”ด base-images bluebuild main sched 250m 2026-07-28T08:44:53Z 20/24 โœ—
๐ŸŸข base-images bluebuild main sched 274m 2026-07-27T10:02:03Z 24/24 โœ“
๐Ÿ”ด base-images bluebuild main sched 271m 2026-07-26T08:34:18Z 22/24 โœ—
๐Ÿ”ด cli Main branch build main push 39m 2026-07-25T18:59:08Z 44/46 โœ—
๐Ÿ”ด base-images bluebuild main sched 284m 2026-07-25T08:16:00Z 21/24 โœ—
๐ŸŸข base-images bluebuild main sched 33m 2026-07-24T16:53:19Z 24/24 โœ“
๐Ÿ”ด base-images bluebuild main sched 149m 2026-07-23T14:11:20Z 10/24 โœ—
๐Ÿ”ด modules build main push 12m 2026-07-22T18:09:40Z 1/2 โœ—
๐Ÿ”ด base-images bluebuild main sched 243m 2026-07-22T08:37:33Z 14/24 โœ—
๐Ÿ”ด base-images bluebuild dependabot/github_actions/actions/checkout-7.0.1 PR 1m 2026-07-21T13:13:37Z 0/24 โœ—
๐Ÿ”ด base-images bluebuild main sched 299m 2026-07-21T08:38:32Z 23/24 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.