madeline-underwood/arm-learning-paths
Dec 2024 – Sep 2025
3 Months active
Languages Used
BashConsoleMarkdown
Technical Skills
Database BenchmarkingDocumentationSystem AdministrationCloud ComputingDatabase ManagementPerformance Testing
Kiel Friedt
PROFILE
Kiel Friedt
Over a three-month period, this developer enhanced the madeline-underwood/arm-learning-paths repository by delivering comprehensive documentation and tooling for benchmarking and tuning MongoDB and cloud network performance on ARM systems. They authored detailed guides for setting up MongoDB 8.0 benchmarking workflows and a three-node replica set, emphasizing reproducibility and onboarding efficiency. Their work included Bash scripting for automation, Markdown for clear technical documentation, and Linux system administration to support installation and configuration. Additionally, they introduced an IRQ Tuning Guide, enabling engineers to diagnose and optimize network performance in cloud environments, with practical scripts and references for scalable, persistent deployments.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
3
Lines of code
852
Activity Months3
Your Network
672 peopleSame Organization
@arm.com538
Work History
September 2025
2 Commits • 1 Features
Sep 1, 2025September 2025 performance-focused update: Delivered a new IRQ Tuning Guide for Cloud Network Performance within the madeline-underwood/arm-learning-paths repository. This enhances engineers’ ability to diagnose and optimize IRQ-related bottlenecks in cloud environments, accelerating performance validation and cloud-ready tuning practices.
2 Commits • 1 Features
Sep 1, 2025September 2025 performance-focused update: Delivered a new IRQ Tuning Guide for Cloud Network Performance within the madeline-underwood/arm-learning-paths repository. This enhances engineers’ ability to diagnose and optimize IRQ-related bottlenecks in cloud environments, accelerating performance validation and cloud-ready tuning practices.
September 2025
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025: Focused on delivering a comprehensive MongoDB learning path enhancement in madeline-underwood/arm-learning-paths, introducing a 3-node replica set setup and benchmarking guide, plus content refactors to improve clarity around configuration, replica set initialization, and performance testing with YCSB. This work lays the groundwork for repeatable benchmarks and faster onboarding into distributed MongoDB scenarios.
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025: Focused on delivering a comprehensive MongoDB learning path enhancement in madeline-underwood/arm-learning-paths, introducing a 3-node replica set setup and benchmarking guide, plus content refactors to improve clarity around configuration, replica set initialization, and performance testing with YCSB. This work lays the groundwork for repeatable benchmarks and faster onboarding into distributed MongoDB scenarios.
December 2024
1 Commits • 1 Features
Dec 1, 2024Month 2024-12: Delivered ARM benchmarking enablement for MongoDB 8.0 with YCSB learning path documentation and updated Linux install guides. This work established a reproducible benchmarking workflow on ARM, clarified installation and configuration steps for newer MongoDB versions, and prepared the team for upcoming performance experiments.
1 Commits • 1 Features
Dec 1, 2024Month 2024-12: Delivered ARM benchmarking enablement for MongoDB 8.0 with YCSB learning path documentation and updated Linux install guides. This work established a reproducible benchmarking workflow on ARM, clarified installation and configuration steps for newer MongoDB versions, and prepared the team for upcoming performance experiments.
December 2024
Activity
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Quality Metrics
Correctness92.6%
Maintainability87.6%
Architecture87.6%
Performance87.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
BashConsoleMarkdown
Technical Skills
Cloud ComputingContent ManagementDatabase BenchmarkingDatabase ManagementDocumentationLinuxNetworkingPerformance TestingPerformance TuningServer AdministrationSystem Administration
Repositories Contributed To
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