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1
Introduction
2
Agenda
3
Yelps Production Clusters
4
Yelp Traffic
5
Service Autoscale
6
Service Metrics
7
Decision Policies
8
Autoscaling Operations
9
Scaling Down
10
AWS Spot Fleet Conditions
11
Why Live With Volatile Capacity
12
Strategy 1 counterintuitive
13
Strategy 2 diversifying
14
Ignoring Hosts
15
Cost Comparison
16
Future Plans
17
Predictive vs Reactive
18
Parallel Scaling
19
Deployment to More Services
20
Conclusion
21
Hiring
22
Mitigating risks
Description:
Discover how Yelp optimizes its Mesos and Marathon infrastructure on AWS Spot Fleet in this 41-minute conference talk. Learn about PaaSTA, Yelp's Platform-as-a-Service, and explore strategies for maximizing cluster utilization while minimizing costs. Gain insights into autoscaling services and servers, improving resilience against AWS instance terminations, and gracefully migrating active traffic. Delve into decision-making processes for cluster capacity management, and understand the challenges and benefits of running on volatile infrastructure. Explore future plans for predictive scaling, parallel scaling, and expanded service deployment. Perfect for those interested in large-scale infrastructure management, cost optimization, and resilient system design in cloud environments.

Autoscaling Mesos and Marathon on AWS Spot Fleet - Maximizing Efficiency and Minimizing Costs

Linux Foundation
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