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This session offers a comprehensive overview of recent KEDA news, highlighting new features and integrations designed to simplify Kubernetes autoscaling, as well as discussing upcoming enhancements and future roadmap items.
The talk will cover practical lessons and best practices drawn from hands-on experiences, addressing key challenges like metrics latency, overloaded infrastructure, and scaling trigger optimization. You will learn effective approaches for managing performance, minimizing scaling delays, and preventing bottlenecks. We will discuss the challenges of using (or misusing?) third-party monitoring and metrics providers for scaling decisions, exploring practical ways to overcome limitations without complex architectural changes.
Learn from our direct experiences about effective strategies, performance optimization techniques, and how to build resilient, cost-optimized autoscaling solutions with KEDA.