Explore the challenges and solutions for reducing cold start times in Knative, a platform for building serverless-style systems. Dive into the intricacies of autoscaling, the cold start problem, and innovative approaches to minimize container startup latency. Learn about Knative's scaling mechanisms, image pools, language-specific optimizations, and advanced techniques like container freezing and warm memory. Discover how these strategies contribute to achieving a Function as a Service (FaaS) experience with faster response times. Gain insights into the KPERF tool and its role in optimizing Knative performance.
How Fast is FaaS? Reducing Cold Start Times in Knative
CNCF [Cloud Native Computing Foundation] via YouTube
Overview
Syllabus
Intro
How does Knative scale to 1
What happens when we need that first spot
Image pools
Languages
Knobs
Istio
Container Freezer
Warm Memory
KPERF
KPerfect
Taught by
CNCF [Cloud Native Computing Foundation]
