Month: 2026-04 — Performance and scalability improvements for lsst-sqre/phalanx focused on compute-heavy workloads and startup stability. Key features delivered include MTAOS Performance Enhancements and MTScheduler Startup Resource Scaling, with traceability to specific commits. Key achievements: - MTAOS Performance Enhancements: Upgraded MTAOS to revision 4, increased resource limits/requests, and tuned environment variables to optimize thread usage in math libraries, boosting compute throughput. Commits: a5fefe74c1ea8ae297dd6bc5c7a844364591df5f; 2ea55fc35979fbb10bc7a306d2ebdc85453f19a5; 1daf733b79c42e0eb8b0a7ea3ec9df61d881aa86; 1843fe6abe5a0c9c39d42167ce364c9b0e923401. - MTScheduler Startup Resource Scaling: Increased startup memory and CPU resources to handle startup spikes, improving performance and stability (Commit: 8a3223e91846d9d265924814c94221c3a816f869). Major bugs fixed: - No explicit bug fixes reported this month. Improvements focused on performance, stability, and resource management to prevent regressions and optimize workloads. Overall impact and accomplishments: - Higher compute throughput and reduced startup latency for Summit workloads. - Improved stability under high-memory/CPU demand during startup and peak compute phases. - Better resource utilization through adjusted requests/limits and targeted environment tuning. Technologies/skills demonstrated: - Kubernetes resource management (requests/limits) and deployment tuning. - Environment variable-based multi-threading optimization for math libraries. - Performance profiling and incremental deployment across revision upgrades. - Traceability through commit-level changes and cross-team collaboration for Summit environments.

Month: 2026-03 — concise monthly summary focusing on key features delivered, major bugs fixed, overall impact, and technologies demonstrated. Delivered targeted feature upgrades and stability improvements across three repositories, with strong traceability to commits. Key features delivered: - Deployment Version Upgrades Across Subsystems (MTOODS, WFOODS, MTAOS) and LaserTracker — summit revisions applied to enable improvements and performance enhancements. Commits: d48b07428caee0b6c2ca949e7e304b4ef83fc80d; 50de0ce5b965fe61b29315dc8cb3136ee0722153; 0969a2b8755387838c9ebcd5ff17a5a4de545e6f. - Scheduling System Revision Cycle Updates — MT, AT, and OCS Scheduler updated to cycle 43 rev 3 and rev 4 to deliver updated scheduling logic. Commits: 8945b81e09644b753106721189477c3fa98838ac; bc8ba380010985a7877706a91a436b04321b4c8a. - Control Responsiveness for V-mode 5 (MTAOS) — increased PID proportional gain from 0.3 to 0.6 to improve responsiveness. Commit: 44b162837efd902dd4dcc4de134b4bfbc3bec39c. - Standardize OIC Controller Gains for Stability — revert to uniform gain 0.18 and adjust max integral gains for DoF mode. Commit: ca4440eb6f0b6990cf39c59f774b2df226f2a9d4. - Disable V-mode Control in MTAOS Configuration — updated default MTAOS configuration to disable V-mode control. Commit: 37d4df4d49b3f9c7ed3b42308da242f84727f040. Major bugs fixed: - Cycle Environment Dependency Versioning and Changelog Update — fixes to dependency versions in the cycle environment configuration and alignment of the changelog across multiple packages. Commits: 48c500b34857671974b947e076646ff6787b31a8; 598b50d4e02959271aa929988a253789ffa25bb2. Overall impact and accomplishments: - Improved deployment consistency and faster release readiness across core subsystems, helping ensure summit deployments are stable and reproducible. - Enhanced control responsiveness and stability, reducing tuning iterations and improving system predictability in V-mode scenarios. - Standardized controller configurations to reduce drift and simplify maintenance, while disabling potentially destabilizing V-mode control in MTAOS where appropriate. - Strengthened traceability across configurations and releases, enabling better QA, audits, and future rollbacks. Technologies/skills demonstrated: - Release management, cross-repo coordination, and change traceability across MTOODS, WFOODS, MTAOS, LaserTracker, MT/AT/OCS, and OIC components. - PID tuning, control system stabilization, and configuration standardization. - Dependency/version management and changelog alignment.

February 2026: Delivered targeted enhancements and reliability improvements across the LSST TS stack, boosting alignment accuracy, testing robustness, and system maintainability. These efforts enable broader image-processing scenarios, faster load times, and smoother deployment readiness for upcoming cycles.

January 2026 prioritized reliability and testability across the LSST TS stack, delivering key automation improvements, data-readiness readiness, and release/documentation enhancements. The work focused on MTCS improvements for slews and dome coordination, enhanced in-position handling, and improved observability, while broader ecosystem improvements prepared the platform for smoother releases and faster iteration.

December 2025 performance summary focused on automation, reliability, and operational readiness for LSST telescope control. Key outcomes include: automated pointing model build system, documentation clarifications, system upgrades for summit operations, pointing correction configuration in MTAOS, BasePointAzEl slew configurability, and stabilization of dependencies. These efforts reduce manual intervention, improve pointing accuracy, reliability of scheduling and control components, and enhance maintainability and onboarding.