Open Source Summit India 2026

In the modern practice of Platform Engineering (PE), performance has traditionally been viewed as an outcome of optimization rather than an architectural principle. This session presents a Performance-by-Design methodology that integrates intelligent scaling, guardrails, feedback-driven control loops within Internal Developer Platforms (IDPs). Instead of reacting to incidents, we design platforms that manage latency, throughput, cost efficiency, and stability by applying policy-driven autoscaling, SLO-aware metrics, and Kubernetes-native mechanisms constantly. The session outlines a reference architecture with observability pipelines, custom metrics, horizontal pod autoscaling, and platform guardrails to ensure a self-regulating cloud-native operating environment. We show how performance constraints can be codified into golden paths; teams will inherit optimized defaults. Attendees will receive a structured framework to convert performance from reactive tuning task to platform capabilities - increasing reliability, decreasing resource consumption and allowing scalable innovation on enterprise cloud-native ecosystems.