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Pipeline Status
๐Ÿ”ด Failing
Success Rate (7d)
73.3%
Builds (7d)
30
Median Duration
33m
P95: 64m
DORA Level
Medium
Deployment Frequency
11.3 / 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
16.3%
low
Percentage of deployments causing a failure. Elite: <5%, High: <10%, Medium: <15%, Low: โ‰ฅ15%.
MTTR
44.8h
medium
Mean time to restore service after a failure. Elite: <1h, High: <1d, Medium: <1wk, Low: >1wk.

Monthly Overview

Success Rate (MoM)
67.1%
โ–ผ -2.1% vs prior month
Total Builds (MoM)
128
โ–ฒ +41 vs prior month
Avg Duration (MoM)
32.8 min
โ–ฒ +3.2 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
44.8h
Mean Time to Recovery
MTBF
20.9h
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 552 246 4456.5%
0.276
today Build Image
2 Make (bazzite) bazzite 552 238 4311.6%
0.272
today Build Image
3 Make (bazzite-gnome) bazzite 552 220 3985.5%
0.271
today Build Image
4 Make (bazzite-gnome-nvidia) bazzite 552 237 4293.5%
0.270
today Build Image
5 Make (bazzite-nvidia-open) bazzite 552 255 4619.6%
0.268
today Build Image
6 Make (bazzite-gnome-nvidia-open) bazzite 552 242 4384.1%
0.259
today Build Image
7 Make (bazzite-deck-gnome) bazzite 390 191 4897.4%
0.259
today Build Image
8 Make (bazzite-deck) bazzite 390 200 5128.2%
0.252
today Build Image
9 Make (bazzite-deck-nvidia) bazzite 390 211 5410.3%
0.251
today Build Image
10 Make (bazzite-deck-nvidia-gnome) bazzite 390 200 5128.2%
0.250
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 70.8% 65.8% 31m 24 ๐ŸŸข success
bazzite-dx 83.3% 83.3% 16m 6 ๐ŸŸข success

Stream Health

Repo Stream 7d Rate 30d Rate Runs (7d) Avg Duration Last Run Status
bazzite build 69.6% 64.9% 23 31m 7h ago ๐ŸŸข
build_iso 100.0% 100.0% 1 29m 2d ago ๐ŸŸข
bazzite-dx build 83.3% 83.3% 6 16m 1d ago ๐ŸŸข
Publish Reliability
Repos at Full Coverage
0/2
โ‰ฅ95% success rate (7d)
Overall 7d Success Rate
77.1%
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
91.2%
30d success rate
SBOM Coverage
93.9%
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 72m 2026-08-04T01:42:50Z 13/13 โœ“
๐Ÿ”ด bazzite Build Bazzite testing push 6m 2026-08-03T22:03:02Z 3/13 โœ—
๐ŸŸข bazzite Build Bazzite testing dispatch 65m 2026-08-03T20:03:56Z 13/13 โœ“
๐ŸŸข bazzite-dx Build Bazzite DX main dispatch 28m 2026-08-03T00:51:28Z 5/5 โœ“
๐ŸŸข bazzite Build Bazzite testing dispatch 67m 2026-08-02T23:39:02Z 13/13 โœ“
๐ŸŸข bazzite Build Bazzite testing push 55m 2026-08-02T06:21:07Z 13/13 โœ“
๐ŸŸก bazzite Build Bazzite testing push 10m 2026-08-02T06:11:50Z 13/13 โœ“
๐ŸŸข bazzite-dx Build Bazzite DX renovate/sigstore-cosign-3.x PR 29m 2026-08-02T06:10:29Z 5/5 โœ“
๐ŸŸข bazzite-dx Build Bazzite DX renovate/sigstore-cosign-2.x PR 25m 2026-08-02T06:10:26Z 5/5 โœ“
๐ŸŸข bazzite-dx Build Bazzite DX return-to-stable PR 23m 2026-08-02T05:19:32Z 5/5 โœ“
๐ŸŸข bazzite-dx Build Bazzite DX main dispatch 30m 2026-08-02T06:03:56Z 5/5 โœ“
๐ŸŸข bazzite Build Bazzite testing push 62m 2026-08-02T05:02:44Z 13/13 โœ“
๐ŸŸข bazzite Build Bazzite unstable push 56m 2026-08-02T04:43:05Z 13/13 โœ“
๐ŸŸข bazzite Build Live ISOs testing push 38m 2026-08-02T04:42:59Z 10/10 โœ“
๐ŸŸก bazzite Build Bazzite testing push 6m 2026-08-02T04:42:59Z 13/13 โœ“
๐ŸŸก bazzite Build Bazzite unstable push 1m 2026-08-02T04:42:10Z 13/13 โœ“
๐ŸŸก bazzite Build Bazzite unstable push 6m 2026-08-02T04:36:04Z 13/13 โœ“
๐Ÿ”ด bazzite-dx Build Bazzite DX main other 28m 2026-08-02T04:35:08Z 0/5 โœ—
๐ŸŸก bazzite Build Bazzite testing push 1m 2026-08-02T04:36:04Z 13/13 โœ“
๐ŸŸข bazzite Build Bazzite main dispatch 53m 2026-08-02T03:41:50Z 8/8 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.