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Intro

Transporters Capacity Planning

Basic Terminology Queueing Things

Little's Law

USE Method - Intel Engineer Brendan Gregg

Saturation Causes Service Delays

Vertical Scale Bigger is Better

Vertical scaling makes horizontal scaling more expensive Scaling Quantum

Parallelism is Concurrency Concurrency is not exactly the same na parallelism

Benefits of Threaded Concurrency Sharing Available Resources

Queueing for the GVL Threads Lock On to the Ruby VM

How much concurrency? But you don't have to take my word for it

Amdahl's Law

Job Queueing: Sidekiq Distributed Processing of a Centralized Queue

Latency Based Queueing Latency Bed Scaling

Request Queueing: Puma

Heroku Intelligent Routing Random Routing

Customer Satisfaction

Waiting too long causes frustration

Finding Balance

All Good Things...

Description:

Embark on a Star Trek-themed journey through queuing theory and application scaling in this 30-minute RailsConf 2022 talk. Explore the distinctions between parallelism and concurrency, and learn when to implement additional threads or processes. Dive into examples using Sidekiq and Puma with various concurrency settings in different IO scenarios. Discover key concepts such as Little's Law, the USE Method, vertical and horizontal scaling, and Amdahl's Law. Examine job queueing with Sidekiq, request queueing with Puma, and intelligent routing techniques. Gain insights into balancing customer satisfaction and system performance while optimizing your Ruby applications for scalability and efficiency.

The Queue Continuum - Applied Queuing Theory

Ruby Central

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#Conference Talks #RailsConf #Computer Science #Concurrency #Mathematics #Queuing Theory #Software Engineering #Scalability #Vertical Scaling