Just In Time Scalability Agile Methods To Support Massive Growth Presentation

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Eric Reis and Chris Hondl's MySQL conference presentation on Just In Time Scalability. http://startuplessonslearned.blogspot.com/2008/09/just-in-time-scalability.html

Technologie Business

Just-In-Time Scalability: Agile Methods to Support Massive Growth

Behind the scenes... ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Before and After Architecture ,[object Object],[object Object],We never stopped. We used a roadmap and a compass, made weekly changes in direction, regularly shipped code on Wednesday to handle the next weekend's capacity constraints, and shipped new features the whole time.

Before and After Architecture (1/4) November

Before and After Architecture (2/4) December

Before and After Architecture (3/4) February

Advanced planning vs. fast response ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Questions to ask ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Continuous Ship ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],IMVU pushes code to production 20-30 times every day

Cluster Immune System ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Case Study: Sharding ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Case Study: Caching ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Case Study: Steering Data Design ,[object Object],[object Object],[object Object],[object Object]

Case Study: Steering Data Design ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

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Just In Time Scalability Agile Methods To Support Massive Growth Presentation

1. Just-In-Time Scalability: Agile Methods to Support Massive Growth

5. Before and After Architecture (1/4) November

6. Before and After Architecture (2/4) December

7. Before and After Architecture (3/4) February

8. Before and After Architecture (4/4) May

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16. Case Study: Steering Data Design

17. Case Study: Steering Data Design

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19. “ Thank You for Listening!”

Notes de l'éditeur

We all aspire to have scalability problems. We are going to talk about when we had scalability problems and the approach we used to solve those problems in a “Just In Time” way. I’m Eric and this is Chris. We are from IMVU. IMVU is a site that has had the good fortune to get some traction in the market and have had to solve scalability problems. The two critical pieces of our approach are an agile methodology we call continuous ship and a defect prevention process we call the cluster immune system. We are going to talk about these pieces and then how we applied them to solve a couple scalability problems.