Explore capacity prediction techniques for external services in this 28-minute conference talk from SREcon19 Americas. Learn how Alaska Airlines uses linear regression analysis to generate predictive models for resource management. Discover methods to plan and size external services, adapt to application changes, and implement pre-emptive remedial actions. Gain insights into the airline industry's data flow, shopping API, request types, rates, and durations. Understand the importance of ITA reports, load factors, and model validation in capacity planning. Acquire valuable knowledge to enhance your Site Reliability Engineering practices and optimize resource utilization in complex systems.
Overview
Syllabus
Intro
How the airline industry works
Data flow
Shopping API
Request Types
Request Rates
Request Duration
ITA Reports
Model
Load Factors
Validate Model
Next Steps
Questions
Taught by
USENIX