April 2026 monthly summary focusing on delivering per-user cache isolation in the MP connector for jeejeelee/vllm, with emphasis on business value and technical achievement. No major bugs fixed this month. Overall impact includes stronger data integrity, improved security for multi-tenant workloads, and readiness for broader deployment across cached KV interactions.

March 2026 performance-focused month. Key multiprocess LMCache improvements landed, including a new free_locks API and operator-based deployment, alongside a major observability overhaul moving from Prometheus to an EventBus + OpenTelemetry stack. A critical memory leak in LMCache MP mode was fixed. Deliveries reduced memory pressure, automated deployment, and unified telemetry for faster incident response and reliability.

February 2026: Delivered an observability stack and Prometheus metrics for MP mode LMCache (LMCache/LMCache). Implemented Prometheus configuration options, refactored listener interfaces for instrumentation, and added loggers for StorageManager and L1Manager, plus documentation and unit tests for the observability features. Addressed test failures and Prometheus naming conflicts encountered during integration to align with code quality checks and CI standards. This work provides the foundation for proactive monitoring, faster troubleshooting, and data-driven performance optimization in MP mode.

September 2025 monthly summary for LMCache/LMCache focused on expanding observability through Continuous Usage Context Tracking. A new metrics surface for stored tokens, plus a ContinuousUsageContext class to log metrics periodically, enabling ongoing visibility into cache utilization and facilitating data-driven capacity planning and faster debugging. Commit c72ba28c6b3cf038eaf765685f15ca495d880084 implements the core feature ("[feat] add continuous usage context (#1612)").

June 2025 monthly summary: Focused on stabilizing and simplifying the production-stack deployment while removing legacy components. Key outcomes include a CRD/Controller refactor for VLLMRuntime and enhancements to deployment reliability, plus the removal of the deprecated router controller to reduce maintenance complexity and risk. The work aligns with Kubernetes best practices and positions the platform for smoother future iterations.

May 2025: Delivered Kubernetes CRD-based production stack management for the vllm-project/production-stack, enabling declarative lifecycle management of production stack components (VLLM runtimes, routers, and cache servers) through Kubernetes resources. Implemented API definitions, controllers, and deployment configurations, along with build/test infrastructure and initial RBAC roles to support end-to-end lifecycle management via Kubernetes.