Smart Workload - Automated Routing, Scaling of K8s and Serverless Functions

Explore automated routing and scaling techniques for Kubernetes and serverless functions in this 34-minute conference talk. Discover how to balance resources between serverless functions and other workloads in a Kubernetes cluster, scale functions without hitting resource constraints, and make intelligent decisions about cluster scaling or workload routing. Learn from experiments conducted using Istio, Kong, and Gloo across platforms like OpenWhisk, OpenFaaS, and AWS Lambda. Gain insights into assuring performance while enabling applications to run anywhere, on any cloud, and understand the challenges and solutions for achieving the dream of self-managed workloads across platforms.

Introduction
About Turbonomic
Agenda
Challenges
Service Use Cases
Service Application
Data Operations
Smart Workloads
Demo
Service Platform
Service Match
Decision Making
How Turbonomic works
Economic Theory
Cognitive Layer
API Gateway Layer
Turbonomic Overview
Summary