Mirantis/hmc
Oct 2025 – Oct 2025
1 Month active
Languages Used
YAML
Technical Skills
Configuration ManagementSystem Administration
Brian Donaldson
PROFILE
Brian Donaldson
Worked on the Mirantis/hmc repository to deliver the Telemetry Local Troubleshoot Profile feature, enhancing observability and diagnostics for local telemetry mode. The approach involved updating configuration management using YAML to introduce a new telemetry-local.yaml file, which organizes and collects targeted telemetry data such as cluster information, KCM logs, and telemetry files. This addition improved the structure and relevance of captured telemetry artifacts, supporting faster issue diagnosis and reducing mean time to resolution. The work demonstrated skills in system administration and configuration management, with a focus on improving data quality and supporting more efficient SRE workflows through better diagnostics and traceability.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
37
Activity Months1
Work History
October 2025
1 Commits • 1 Features
Oct 1, 2025October 2025 (2025-10) monthly summary for Mirantis/hmc. Focused on feature delivery and observability improvements. Delivered Telemetry Local Troubleshoot Profile by updating config to include troubleshoot-profiles and added telemetry-local.yaml to collect focused telemetry data for local telemetry mode, including cluster information, KCM logs, and telemetry files. This enhances data organization, ensures relevant telemetry artifacts are captured, and supports faster issue diagnosis and MTTR reduction. No major bugs fixed this month; primary value came from improved diagnostics, configurability, and data quality. Technologies demonstrated include YAML-based configuration, telemetry collection, log management, and provenance through commits (c6607be78e1e17db36983b79a84cf07bd1bb1928).
1 Commits • 1 Features
Oct 1, 2025October 2025 (2025-10) monthly summary for Mirantis/hmc. Focused on feature delivery and observability improvements. Delivered Telemetry Local Troubleshoot Profile by updating config to include troubleshoot-profiles and added telemetry-local.yaml to collect focused telemetry data for local telemetry mode, including cluster information, KCM logs, and telemetry files. This enhances data organization, ensures relevant telemetry artifacts are captured, and supports faster issue diagnosis and MTTR reduction. No major bugs fixed this month; primary value came from improved diagnostics, configurability, and data quality. Technologies demonstrated include YAML-based configuration, telemetry collection, log management, and provenance through commits (c6607be78e1e17db36983b79a84cf07bd1bb1928).
October 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
YAML
Technical Skills
Configuration ManagementSystem Administration
Repositories Contributed To
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