Batch Scheduler vNext

• Batch Scheduler vNext is the next generation of the Batch Scheduler component inside Azure Batch, built to raise the system’s stability, performance, and maintainability while meeting growing customer demand. The project rewrites Batch Scheduler, optimizes the scheduling algorithms, and introduces fresh capabilities for large-scale task orchestration.
• Designed and implemented the Policy Engine (the scheduling algorithm framework) to allow multiple policies to be configured and extended flexibly.
• Created CI/CD pipelines that preserve integration quality and delivery consistency for Batch Scheduler vNext.
• Built benchmark suites and integrated them into the CI process to continuously monitor and tune scheduler performance.

Memory leak fixing for Batch Scheduler

• Batch Scheduler is a critical Azure Batch component that schedules massive compute workloads; memory leaks caused by historical baggage and recently added features forced the service to restart every few hours, harming reliability.
• Ported a usable version of LeakSanitizer (LSAN) to Windows, used LSAN to pinpoint leaks, and fixed several of them, significantly improving system stability and performance.

• LSAN-related changes