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Pipeline Status
๐Ÿ”ด Failing
Success Rate (7d)
62.5%
Builds (7d)
40
Median Duration
34m
P95: 69m
DORA Level
Medium
Deployment Frequency
18.9 / week
elite
How often builds are deployed. Elite: >7ร—/week, High: 1โ€“7ร—/week, Medium: monthly, Low: less than monthly.
Lead Time
1.1h
high
Time from commit to production. Elite: <1h, High: <1d, Medium: <1wk, Low: >1wk.
Change Failure Rate
22.0%
low
Percentage of deployments causing a failure. Elite: <5%, High: <10%, Medium: <15%, Low: โ‰ฅ15%.
MTTR
37.6h
medium
Mean time to restore service after a failure. Elite: <1h, High: <1d, Medium: <1wk, Low: >1wk.

Monthly Overview

Success Rate (MoM)
63.6%
โ–ผ -3.5% vs prior month
Total Builds (MoM)
198
โ–ฒ +70 vs prior month
Avg Duration (MoM)
37.5 min
โ–ฒ +4.6 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
37.6h
Mean Time to Recovery
MTBF
18.5h
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 Make (bazzite-nvidia) bazzite 822 364 4428.2%
0.286
today Build Image
2 Build Game Mode Announcements bazzite 341 211 6187.7%
0.286
today
3 Make (bazzite-gnome-nvidia) bazzite 822 354 4306.6%
0.282
today Build Image
4 Make (bazzite-nvidia-open) bazzite 823 373 4532.2%
0.276
today Build Image
5 Make (bazzite) bazzite 823 348 4228.4%
0.275
today Build Image
6 Make (bazzite-gnome) bazzite 823 324 3936.8%
0.272
today Build Image
7 Make (bazzite-deck-nvidia) bazzite 661 333 5037.8%
0.270
today Build Image
8 Make (bazzite-deck-gnome) bazzite 661 306 4629.3%
0.268
today Build Image
9 Make (bazzite-deck) bazzite 661 318 4810.9%
0.266
today Build Image
10 Make (bazzite-gnome-nvidia-open) bazzite 823 354 4301.3%
0.265
today Build Image

OpenSSF Scorecard

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

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
bazzite 63.6% 59.8% 34m 33 ๐ŸŸข success
bazzite-dx 57.1% 85.7% 28m 7 ๐ŸŸข success

Stream Health

Repo Stream 7d Rate 30d Rate Runs (7d) Avg Duration Last Run Status
bazzite build 64.3% 57.5% 28 34m 13h ago ๐ŸŸข
build_iso 60.0% 83.3% 5 40m 2d ago ๐Ÿ”ด
bazzite-dx build 57.1% 85.7% 7 28m 2d ago ๐ŸŸข
Publish Reliability
Repos at Full Coverage
0/2
โ‰ฅ95% success rate (7d)
Overall 7d Success Rate
60.4%
Avg across all repos
Repos with Recent Activity
2/2
Total runs > 0 (7d)

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

Supply Chain Security

bazzite
Cosign Signing
89.0%
30d success rate
SBOM Coverage
87.7%
30d success rate
bazzite-dx
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€”.

Recent Builds
Repo Workflow Branch Trigger Duration Started Jobs
๐ŸŸข bazzite Build Bazzite testing push 59m 2026-09-23T16:49:42Z 14/14 โœ“
๐Ÿ”ด bazzite Build Bazzite testing push 54m 2026-09-23T15:53:46Z 13/14 โœ—
๐ŸŸก bazzite Build Bazzite testing push 2m 2026-09-23T15:52:57Z 14/14 โœ“
๐ŸŸก bazzite Build Bazzite testing push <1m 2026-09-23T15:52:41Z 5/5 โœ“
๐ŸŸข bazzite Build Bazzite testing push 108m 2026-09-23T04:00:32Z 14/14 โœ“
๐ŸŸข bazzite Build Bazzite testing push 53m 2026-09-22T15:07:59Z 14/14 โœ“
๐ŸŸข bazzite Build Bazzite testing dispatch 60m 2026-09-22T03:00:24Z 14/14 โœ“
๐Ÿ”ด bazzite Build Bazzite testing push 47m 2026-09-22T01:49:38Z 13/14 โœ—
๐Ÿ”ด bazzite Build Bazzite testing push 52m 2026-09-21T22:12:48Z 13/14 โœ—
๐ŸŸก bazzite Build Bazzite testing push <1m 2026-09-21T22:12:06Z 0/0 โœ“
๐ŸŸก bazzite Build Bazzite testing push 68m 2026-09-21T21:05:18Z 13/14 โœ—
๐Ÿ”ด bazzite Build Bazzite kernel-update PR 6m 2026-09-21T18:24:56Z 4/14 โœ—
๐ŸŸก bazzite Build Bazzite kernel-update PR <1m 2026-09-21T18:24:37Z 5/5 โœ“
๐Ÿ”ด bazzite Build Live ISOs main dispatch 41m 2026-09-21T06:39:16Z 9/10 โœ—
๐ŸŸข bazzite-dx Build Bazzite DX main other 42m 2026-09-21T06:39:07Z 5/5 โœ“
๐ŸŸข bazzite Build Bazzite main dispatch 55m 2026-09-21T05:44:20Z 14/14 โœ“
๐ŸŸข bazzite Build Bazzite testing dispatch 50m 2026-09-21T06:21:40Z 14/14 โœ“
๐Ÿ”ด bazzite Build Bazzite testing push 49m 2026-09-20T21:30:42Z 13/14 โœ—
๐ŸŸข bazzite Build Bazzite testing push 64m 2026-09-20T17:16:28Z 14/14 โœ“
๐ŸŸข bazzite-dx Build Bazzite DX edk2-ovmf--fix PR 26m 2026-09-20T17:04:46Z 5/5 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.