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Sustaining Git Performance Under Heavy Workloads - An AI-Driven Approach

Eclipse Foundation via YouTube

Overview

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Learn about an innovative AI-driven approach to maintaining Git repository performance in this 27-minute conference talk. Explore how artificial intelligence can help manage Source Code Management (SCM) systems that are critical to software development operations. Discover why traditional maintenance methods like full garbage collection and geometric repacking become problematic as repositories grow and face heavy workloads. Examine how reinforcement learning enables AI models to develop optimal strategies for repository maintenance, including partial repacking, bitmap regeneration, and empty directory removal. Understand the importance of efficient SCM maintenance in preventing organizational bottlenecks and maintaining continuous development workflows. Gain insights into preventing performance degradation and inaccessibility issues that can affect various Git client operations like git-upload-pack and git-receive-pack.

Syllabus

Sustaining Git performance under heavy workloads: GHS, an AI driven approach (spons. by GerritForge)

Taught by

Eclipse Foundation

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