madeline-underwood/arm-learning-paths
Oct 2025 – Jun 2026
9 Months active
Languages Used
BashCHTMLJSONJavaScriptMarkdownPythonShell
Technical Skills
AWS IoTCloud ComputingCloud IntegrationCode MaintenanceCode RefactoringContent Management
Doug Anson
PROFILE
Doug Anson
Over nine months, contributed to the madeline-underwood/arm-learning-paths repository by designing and documenting end-to-end deployment guides, learning paths, and onboarding resources for ARM-based and cloud-native platforms. Focused on reproducible workflows, the work included modernizing CI/CD pipelines, integrating security scanning, and supporting multi-architecture deployments using technologies such as Python, Docker, and Kubernetes. Enhanced documentation quality and technical accuracy across Google Cloud, Azure, and AWS IoT Greengrass environments, with detailed guidance for database migration, benchmarking, and observability stacks. Emphasized actionable instructions, validation steps, and contributor recognition, resulting in improved onboarding speed, cross-cloud consistency, and lower support overhead for developers adopting ARM infrastructure.
Overall Statistics
Feature vs Bugs
94%Features
Repository Contributions
84Total
Bugs
2
Commits
84
Features
34
Lines of code
14,800
Activity Months9
Your Network
712 peopleSame Organization
@arm.com573
Work History
June 2026
4 Commits • 1 Features
Jun 1, 2026June 2026: Delivered Arm64 Gerrit on Google Cloud Learning Path with updated documentation, benchmarking data, and image assets. Draft content and codex review updates completed; prepared assets for scalable deployment and benchmarking across Google Cloud ARM64.
4 Commits • 1 Features
Jun 1, 2026June 2026: Delivered Arm64 Gerrit on Google Cloud Learning Path with updated documentation, benchmarking data, and image assets. Draft content and codex review updates completed; prepared assets for scalable deployment and benchmarking across Google Cloud ARM64.
June 2026
May 2026
5 Commits • 2 Features
May 1, 2026May 2026 monthly summary for madeline-underwood/arm-learning-paths: Focused on documentation quality, contributor recognition, and cross-cloud learning-path improvements. The work emphasizes onboarding, reproducibility, and verification workflows across Google Cloud and AWS IoT Greengrass while maintaining Azure-to-Google Cloud alignment. No explicit major bug fixes were reported this month; primary outcomes are improvements to documentation, contributor acknowledgment, and cross-cloud tooling visibility.
May 2026
5 Commits • 2 Features
May 1, 2026May 2026 monthly summary for madeline-underwood/arm-learning-paths: Focused on documentation quality, contributor recognition, and cross-cloud learning-path improvements. The work emphasizes onboarding, reproducibility, and verification workflows across Google Cloud and AWS IoT Greengrass while maintaining Azure-to-Google Cloud alignment. No explicit major bug fixes were reported this month; primary outcomes are improvements to documentation, contributor acknowledgment, and cross-cloud tooling visibility.
April 2026
1 Commits • 1 Features
Apr 1, 2026April 2026 monthly summary: Delivered the Azure MySQL Migration Learning Path in madeline-underwood/arm-learning-paths. End-to-end lift-and-shift workflow for migrating MySQL from on-prem x64 to Arm-based Azure Cobalt 100 VMs, including provisioning, migration steps, and sysbench benchmarking. No major bugs fixed this month. Business impact: accelerates cloud modernization and developer enablement by providing a practical, benchmarked migration path and hands-on resources. Technologies/skills demonstrated include Azure VM provisioning, MySQL migration (lift-and-shift), Arm-based Azure infrastructure, sysbench benchmarking, and documentation/design of learning-path resources.
1 Commits • 1 Features
Apr 1, 2026April 2026 monthly summary: Delivered the Azure MySQL Migration Learning Path in madeline-underwood/arm-learning-paths. End-to-end lift-and-shift workflow for migrating MySQL from on-prem x64 to Arm-based Azure Cobalt 100 VMs, including provisioning, migration steps, and sysbench benchmarking. No major bugs fixed this month. Business impact: accelerates cloud modernization and developer enablement by providing a practical, benchmarked migration path and hands-on resources. Technologies/skills demonstrated include Azure VM provisioning, MySQL migration (lift-and-shift), Arm-based Azure infrastructure, sysbench benchmarking, and documentation/design of learning-path resources.
April 2026
March 2026
2 Commits • 2 Features
Mar 1, 2026March 2026 monthly summary for madeline-underwood/arm-learning-paths: Delivered two ARM64-focused documentation features that directly support data analytics workloads and observability on ARM64, with a clear impact on onboarding speed and pipeline reliability. No major bugs reported this month; focus was on documentation quality and clarity to accelerate adoption and reduce support load.
March 2026
2 Commits • 2 Features
Mar 1, 2026March 2026 monthly summary for madeline-underwood/arm-learning-paths: Delivered two ARM64-focused documentation features that directly support data analytics workloads and observability on ARM64, with a clear impact on onboarding speed and pipeline reliability. No major bugs reported this month; focus was on documentation quality and clarity to accelerate adoption and reduce support load.
February 2026
6 Commits • 3 Features
Feb 1, 2026February 2026 monthly summary for madeline-underwood/arm-learning-paths: Delivered three learning-path enhancements focusing on security, observability, and data infrastructure across Trivy CI/CD, OpenTelemetry, and TimescaleDB workflows. Implemented multi-architecture Azure CI/CD integration with improved security scanning and docs on Docker Hub tokens and CI verification; added deployment guidance for Google Cloud ARM with Flask, OpenTelemetry Collector, Prometheus, and Jaeger; updated TimescaleDB on GCP learning path with live sensor dashboards and refined prerequisites. Fixed documentation issues and incorporated tech-review feedback, including minor index.md fixes, to improve accuracy and consistency. The work enhances onboarding, accelerates secure CI/CD adoption, and strengthens cloud-native observability and data-stack deployments on Azure and GCP.
6 Commits • 3 Features
Feb 1, 2026February 2026 monthly summary for madeline-underwood/arm-learning-paths: Delivered three learning-path enhancements focusing on security, observability, and data infrastructure across Trivy CI/CD, OpenTelemetry, and TimescaleDB workflows. Implemented multi-architecture Azure CI/CD integration with improved security scanning and docs on Docker Hub tokens and CI verification; added deployment guidance for Google Cloud ARM with Flask, OpenTelemetry Collector, Prometheus, and Jaeger; updated TimescaleDB on GCP learning path with live sensor dashboards and refined prerequisites. Fixed documentation issues and incorporated tech-review feedback, including minor index.md fixes, to improve accuracy and consistency. The work enhances onboarding, accelerates secure CI/CD adoption, and strengthens cloud-native observability and data-stack deployments on Azure and GCP.
February 2026
January 2026
18 Commits • 7 Features
Jan 1, 2026Concise monthly summary for January 2026 focused on the madeline-underwood/arm-learning-paths repository. Delivered end-to-end deployment guides and robust documentation across cloud and ARM-based platforms, with an emphasis on actionable instructions, validation steps, and performance readiness.
January 2026
18 Commits • 7 Features
Jan 1, 2026Concise monthly summary for January 2026 focused on the madeline-underwood/arm-learning-paths repository. Delivered end-to-end deployment guides and robust documentation across cloud and ARM-based platforms, with an emphasis on actionable instructions, validation steps, and performance readiness.
December 2025
14 Commits • 3 Features
Dec 1, 2025December 2025: Focused on ARM-based Google Cloud deployments and learning-path documentation. Delivered consolidated Google Cloud ARM learning paths and deployment/docs, Arm64 deployment and benchmarking docs, and Zephyr Workbench installation and debugging updates. The work accelerates ARM adoption on GCP and Gardener by providing repeatable, well-documented deployment steps and performance guidance.
14 Commits • 3 Features
Dec 1, 2025December 2025: Focused on ARM-based Google Cloud deployments and learning-path documentation. Delivered consolidated Google Cloud ARM learning paths and deployment/docs, Arm64 deployment and benchmarking docs, and Zephyr Workbench installation and debugging updates. The work accelerates ARM adoption on GCP and Gardener by providing repeatable, well-documented deployment steps and performance guidance.
December 2025
November 2025
8 Commits • 3 Features
Nov 1, 2025November 2025 focused on strengthening developer onboarding and accuracy of ARM-oriented deployment docs. Key features delivered include comprehensive Google Cloud learning path and setup documentation across Rust, TensorFlow, Couchbase, Django, and ARM environments, with updates to VM Rust installation and Puppet on ARM. Documentation improvements also clarified AWS IoT Greengrass credential handling and standardized terminology across docs. Major bugs fixed were small installation and LP update issues uncovered during tech reviews. Overall impact: reduced setup friction for cloud- and ARM-based deployments, improved cross-stack consistency, and higher documentation quality, enabling faster onboarding and lower support overhead. Technologies/skills demonstrated: cloud deployment docs, ARM and VM setup, Puppet on ARM, TensorFlow and Django steps, AWS IoT Greengrass docs, and documentation governance.
November 2025
8 Commits • 3 Features
Nov 1, 2025November 2025 focused on strengthening developer onboarding and accuracy of ARM-oriented deployment docs. Key features delivered include comprehensive Google Cloud learning path and setup documentation across Rust, TensorFlow, Couchbase, Django, and ARM environments, with updates to VM Rust installation and Puppet on ARM. Documentation improvements also clarified AWS IoT Greengrass credential handling and standardized terminology across docs. Major bugs fixed were small installation and LP update issues uncovered during tech reviews. Overall impact: reduced setup friction for cloud- and ARM-based deployments, improved cross-stack consistency, and higher documentation quality, enabling faster onboarding and lower support overhead. Technologies/skills demonstrated: cloud deployment docs, ARM and VM setup, Puppet on ARM, TensorFlow and Django steps, AWS IoT Greengrass docs, and documentation governance.
October 2025
26 Commits • 12 Features
Oct 1, 2025October 2025 monthly summary for madeline-underwood/arm-learning-paths focusing on delivering business value through feature improvements, reliability fixes, and documentation polish across the repository. Highlights include modernizing the Node.js installer flow with NVM, enabling privileged port operations for the sample HTTP server, expanding Linux distro support with Ubuntu/SuSE options and Cassandra compatibility, and stabilizing the test and tooling surface to improve CI reliability and onboarding.
26 Commits • 12 Features
Oct 1, 2025October 2025 monthly summary for madeline-underwood/arm-learning-paths focusing on delivering business value through feature improvements, reliability fixes, and documentation polish across the repository. Highlights include modernizing the Node.js installer flow with NVM, enabling privileged port operations for the sample HTTP server, expanding Linux distro support with Ubuntu/SuSE options and Cassandra compatibility, and stabilizing the test and tooling surface to improve CI reliability and onboarding.
October 2025
Activity
Loading activity data...
Quality Metrics
Correctness92.4%
Maintainability89.8%
Architecture88.0%
Performance87.8%
AI Usage29.2%
Skills & Technologies
Programming Languages
BashCDockerfileHTMLJSONJavaJavaScriptMarkdownPythonShell
Technical Skills
AWS IoTAccessibilityArm architectureArm64Azure CLICI/CDCircleCICloud ComputingCloud IntegrationCode MaintenanceCode RefactoringContainerizationContent ManagementCouchbaseDatabase Installation
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline