Netflix-Skunkworks/service-capacity-modeling
Apr 2025 – Jun 2025
2 Months active
Languages Used
Python
Technical Skills
Backend DevelopmentBug FixCapacity PlanningPerformance OptimizationSystem DesignTesting
ayushisingh29
PROFILE
Ayushisingh29
Ayushi contributed to the Netflix-Skunkworks/service-capacity-modeling repository by building and refining capacity planning features for distributed systems. She implemented zonal capacity planning and resource derivation, enabling accurate calculations of CPU, memory, network, and disk requirements per zone, and integrated Cassandra-backed buffer calculations for scalable modeling. Using Python, she addressed disk allocation bugs by improving logic for EBS-backed volumes and enhanced disk usage accuracy by factoring in cluster instance counts. Her work also introduced memory preservation logic based on derived buffers, supported by comprehensive tests. Ayushi’s focus on backend development, system design, and database optimization improved reliability and maintainability.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
4Total
Bugs
2
Commits
4
Features
2
Lines of code
560
Activity Months2
Your Network
23 people
Work History
June 2025
2 Commits • 1 Features
Jun 1, 2025Delivered two capacity-modeling enhancements in Netflix-Skunkworks/service-capacity-modeling (June 2025): (1) Cassandra Disk Usage Capacity Modeling Accuracy Fix—corrected zone disk usage by including cluster instance count; (2) Cassandra Memory Preservation Logic Enhancement—added derived-buffer-based memory preservation logic with tests. These changes increase the accuracy of capacity forecasts, reduce provisioning risk, and improve modeling reliability.
2 Commits • 1 Features
Jun 1, 2025Delivered two capacity-modeling enhancements in Netflix-Skunkworks/service-capacity-modeling (June 2025): (1) Cassandra Disk Usage Capacity Modeling Accuracy Fix—corrected zone disk usage by including cluster instance count; (2) Cassandra Memory Preservation Logic Enhancement—added derived-buffer-based memory preservation logic with tests. These changes increase the accuracy of capacity forecasts, reduce provisioning risk, and improve modeling reliability.
June 2025
April 2025
2 Commits • 1 Features
Apr 1, 2025April 2025 monthly performance summary for Netflix-Skunkworks/service-capacity-modeling focusing on delivering reliable, business-value-driven capacity planning capabilities.
April 2025
2 Commits • 1 Features
Apr 1, 2025April 2025 monthly performance summary for Netflix-Skunkworks/service-capacity-modeling focusing on delivering reliable, business-value-driven capacity planning capabilities.
Activity
Loading activity data...
Quality Metrics
Correctness87.6%
Maintainability90.0%
Architecture82.6%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Backend DevelopmentBug FixCapacity PlanningCloud ComputingDatabase OptimizationPerformance OptimizationSystem DesignTesting
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline