Ansible Role Net Tuning

D 58 completed
Other
unknown / yaml · tiny
7
Files
406
LOC
0
Frameworks
2
Languages

Pipeline State

completed
Run ID
#1544667
Phase
done
Progress
0%
Started
2026-04-16 22:51:02
Finished
2026-04-16 22:51:02
LLM tokens
0

Pipeline Metadata

Stage
Cataloged
Decision
proceed
Novelty
12.03
Framework unique
Isolation
Last stage change
2026-05-10 03:35:17
Deduplication group #47244
Member of a group with 3,201 similar repo(s) — canonical #1561265 view group →
Source: Repobility analyzer · https://repobility.com

AI Prompt

Create an Ansible role named `net_tuning` designed for dynamic network performance tuning on Linux servers. The role should automatically configure various kernel parameters like RSS/RPS, RFS, XPS, and ring buffers based on hardware detection. It needs to calculate values dynamically using formulas involving CPU count, NIC speed, and queue count. Specifically, it must implement smart logic to select between RSS and RPS modes. The role should only configure active physical PCI NICs, skipping VLANs and virtual interfaces. It must also handle dynamic connection tracking table sizing and apply TCP stack tuning via sysctl settings.
ansible yaml linux network sysctl performance networking automation
Generated by gemma4:latest

Catalog Information

Create an Ansible role named net_tuning designed for dynamic network performance tuning on Linux servers. The role should automatically configure various kernel parameters like RSS/RPS, RFS, XPS, and ring buffers based on hardware detection. It needs to calculate values dynamically using formulas involving CPU count, NIC speed, and queue count. Specifically, it must implement smart logic to select between RSS and RPS modes. The role should only configure active physical PCI NICs, skipping VLAN

Tags

ansible yaml linux network sysctl performance networking automation

Quality Score

D
57.6/100
Structure
32
Code Quality
100
Documentation
30
Testing
0
Practices
78
Security
100
Dependencies
50

Strengths

  • Low average code complexity — well-structured code
  • Good security practices — no major issues detected

Weaknesses

  • No LICENSE file — legal ambiguity for contributors
  • No tests found — high risk of regressions
  • No CI/CD configuration — manual testing and deployment

Recommendations

  • Add a test suite — start with critical path integration tests
  • Set up CI/CD (GitHub Actions recommended) to automate testing and deployment
  • Add a linter configuration to enforce code style consistency
  • Add a LICENSE file (MIT recommended for open source)

Languages

yaml
59.1%
markdown
40.9%

Frameworks

None detected

Quality Timeline

1 quality score recorded.

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