February 2026 monthly summary for Netflix-Skunkworks/service-capacity-modeling. Focused on delivering a partition-aware capacity planning feature for a read-only key-value store, consolidating five commits into a cohesive module that optimizes PPn-based node usage, improves fault tolerance through replication-factor tuning, and includes refactors, cleanup, and tests. No explicit production bugs were reported; however, PR feedback was addressed to simplify the algorithm and remove unused parameters, with dedicated tests added for the new module. Overall, this work enhances scalability, resilience, and maintainability, delivering measurable business value through more efficient capacity planning and robust testing.

January 2026 monthly summary for Netflix-Skunkworks/service-capacity-modeling. Delivered a robust read-only key-value capacity model with partition-aware capacity planning, enabling disk-first replica allocation, regional deployment, and removal of EBS constraints. Refined memory calculations to be partition-aware, removed memory-based constraints, and cleaned up configuration to improve maintainability. Expanded testing and instrumentation with standardized and exploratory tests, increasing visibility into capacity decisions and enabling data-driven optimization. Refactors and test improvements reduced complexity and improved test outputs. Impact: improved capacity planning accuracy for multi-region deployments, better scalability, and potential cost savings through data-driven recommendations. Technologies/skills demonstrated: capacity modeling algorithms, Python-based testing and instrumentation, automated validation, cross-region deployment readiness, and performance/memory optimizations.

October 2024 monthly summary for apache/cassandra: Delivered a new human-readable disk size display in nodetool compactionhistory, significantly improving visibility into disk usage for admins and capacity planning. Implemented via changes to FileUtils.java, CompactionHistory.java, and related stats holders to present disk usage more clearly in historical views. This work enhances operability of Cassandra's admin tooling and supports easier troubleshooting and capacity decisions. No major bugs fixed in this period; focus remained on feature delivery, code quality, and maintainability.