Netflix-Skunkworks/service-capacity-modeling
Jan 2025 – Feb 2025
2 Months active
Languages Used
PythonMarkdownYAML
Technical Skills
AWS EC2CLI DevelopmentCapacity PlanningCloud ComputingData ModelingInfrastructure as Code
Joseph Lynch
PROFILE
Joseph Lynch
Joseph Lee developed and enhanced capacity modeling tools for the Netflix-Skunkworks/service-capacity-modeling repository over a two-month period, focusing on automation, scalability, and robust data handling. He built the Auto-shape CLI to generate AWS EC2 instance shapes, templating base instances against reference families to streamline hardware projections. Leveraging Python, YAML, and AWS EC2, Joseph normalized instance data models and introduced multi-file hardware shape support, improving consistency and scalability in capacity planning. He also automated PyPI publishing and integrated a Buffers framework for managing compute, storage, and memory headroom, resulting in more reliable forecasting and reduced manual intervention in deployment workflows.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
17Total
Bugs
0
Commits
17
Features
4
Lines of code
5,672
Activity Months2
Your Network
118 peopleSame Organization
@netflix.com95
Shared Repositories
23
Work History
February 2025
15 Commits • 3 Features
Feb 1, 2025February 2025 — Netflix-Skunkworks/service-capacity-modeling: Focused on release automation, capacity modeling robustness, and scalable data handling to accelerate deployment, improve forecasting, and reduce manual toil. Key outcomes included automated PyPI publishing, enhanced hardware shape data handling, and a new Buffers framework integrated into capacity calculations.
15 Commits • 3 Features
Feb 1, 2025February 2025 — Netflix-Skunkworks/service-capacity-modeling: Focused on release automation, capacity modeling robustness, and scalable data handling to accelerate deployment, improve forecasting, and reduce manual toil. Key outcomes included automated PyPI publishing, enhanced hardware shape data handling, and a new Buffers framework integrated into capacity calculations.
February 2025
January 2025
2 Commits • 1 Features
Jan 1, 2025January 2025: Delivered automated EC2 instance shape generation via the Auto-shape CLI, expanded the capacity-modeling groundwork, and strengthened the Instance data model to support normalized sizes and merged configurations. These changes enable consistent, scalable capacity projections and faster decision-making for capacity planning.
January 2025
2 Commits • 1 Features
Jan 1, 2025January 2025: Delivered automated EC2 instance shape generation via the Auto-shape CLI, expanded the capacity-modeling groundwork, and strengthened the Instance data model to support normalized sizes and merged configurations. These changes enable consistent, scalable capacity projections and faster decision-making for capacity planning.
Activity
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Quality Metrics
Correctness89.4%
Maintainability88.2%
Architecture88.8%
Performance81.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
MarkdownPythonYAML
Technical Skills
API DesignAWSAWS EC2AutomationBackend DevelopmentBoto3Build AutomationBuild ConfigurationCI/CDCLI DevelopmentCapacity PlanningCloud ComputingCommand-line Interface (CLI)Data ModelingDocumentation
Repositories Contributed To
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