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1
Introduction
2
Performance Model
3
Cost Model
4
Runtime Components
5
Performance
6
Cold Start
7
Techniques
8
First Optimization
9
Tradeoff
10
Sharing
11
Insight
12
Research pooling
13
Rebalancing
14
Research Pool
15
Prefetching
16
Hierarchy of Layers
17
Function Prewarming
18
Visualizing Function Prewarming
19
Static Information
20
fission workflows
21
prewarm
22
Summary
Description:
Explore serverless performance optimization techniques in this 27-minute conference talk. Dive into the challenges of current serverless platforms, including cold starts, platform overhead, and inconsistent performance. Learn about various optimization strategies such as function reuse, autoscaling, resource pooling, function locality, and predictive scheduling. Examine how to fine-tune the Fission FaaS platform to achieve specific goals in latency, throughput, resource utilization, and cost. Gain insights into performance and cost models, runtime components, and advanced techniques like function prewarming and workflow optimization. Discover the future opportunities and challenges in making Function-as-a-Service (FaaS) even faster and more efficient.

Serverless Performance on a Budget

CNCF [Cloud Native Computing Foundation]
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