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Study mode:
on
1
Intro
2
Agenda
3
Recommendation life cycle
4
HPA
5
Metrics
6
Status
7
Custom Metrics
8
Custom Metrics in Kubernetes
9
State
10
Stabilization
11
Scale Controls
12
Golang Dock
13
Conditions
14
Backwards Compatibility
15
Cluster Autoscaler
16
Class Autoscaler Architecture
17
Example Scale Up
18
Expander
19
Autoscaling QA
Description:
Dive deep into the world of autoscaling in Kubernetes with this comprehensive conference talk by Maciek Pytel and Joe Burnett from Google. Explore the intricacies of Horizontal Pod Autoscaler (HPA), Vertical Pod Autoscaler (VPA), and Cluster Autoscaler as members of SIG-Autoscaling reveal their inner workings. Learn how to debug and optimize autoscalers to reduce infrastructure costs while balancing availability. Discover where to find crucial information about autoscaler activity, which settings can be adjusted, and which flags are best left untouched. Gain insights into the recommendation lifecycle, custom metrics implementation, stabilization techniques, and backwards compatibility considerations. Examine the Cluster Autoscaler architecture, scale-up processes, and expander functionality. Conclude with a Q&A session to address specific autoscaling challenges in Kubernetes environments.

Deep Dive into Autoscaling

CNCF [Cloud Native Computing Foundation]
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