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Overview
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Explore an innovative conference talk that introduces a revolutionary approach to load balancing through AWS Application Load Balancer (ALB) Target Optimizer. Discover how this new paradigm shifts from traditional push-model load balancing with predefined algorithms to an advanced pull-model system where targets actively control their own load distribution. Learn about the technical mechanisms behind this target-driven approach and understand how it delivers superior application performance and enhanced target efficiency compared to conventional load balancing methods. Gain insights into the evolution of load balancing architecture and examine practical applications of this technology for optimizing cloud infrastructure performance. The presentation covers the fundamental differences between traditional and modern load balancing approaches, demonstrating how empowering targets to manage their own load can result in more efficient resource utilization and improved application responsiveness.
Syllabus
AWS re:Invent 2025 - Load balancing evolved: ALB Target Optimizer (NET336)
Taught by
AWS Events