madeline-underwood/arm-learning-paths
Oct 2025 – Apr 2026
7 Months active
Languages Used
BashCHTMLJSONJavaScriptMarkdownPythonShell
Technical Skills
AWS IoTCloud ComputingCloud IntegrationCode MaintenanceCode RefactoringContent Management
Doug Anson
PROFILE
Doug Anson
Doug Anson developed and maintained the madeline-underwood/arm-learning-paths repository, delivering end-to-end deployment guides and learning paths for ARM-based cloud platforms. He focused on actionable documentation and robust onboarding, covering technologies such as Kubernetes, Jenkins, and Django, while integrating CI/CD workflows and infrastructure as code using Python and Terraform. Doug’s work included modernizing Node.js installer flows, enabling multi-architecture containerization, and providing detailed migration paths for MySQL to Azure ARM VMs. By emphasizing clarity, validation steps, and benchmarking, he reduced onboarding friction and improved deployment reliability, demonstrating depth in cloud integration, DevOps automation, and technical writing across diverse cloud-native environments.
Overall Statistics
Feature vs Bugs
94%Features
Repository Contributions
75Total
Bugs
2
Commits
75
Features
31
Lines of code
13,397
Activity Months7
Your Network
651 peopleSame Organization
@arm.com522
Work History
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
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Quality Metrics
Correctness92.0%
Maintainability89.6%
Architecture88.0%
Performance87.4%
AI Usage27.8%
Skills & Technologies
Programming Languages
BashCDockerfileHTMLJSONJavaScriptMarkdownPythonShellYAML
Technical Skills
AWS IoTArm architectureAzure CLICI/CDCircleCICloud ComputingCloud IntegrationCode MaintenanceCode RefactoringContainerizationContent ManagementCouchbaseDatabase InstallationDatabase ManagementDebugging
Repositories Contributed To
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