Just-In-Time Scalability: Agile Methods to Support Massive Growth with Memcached, Solr, and Continuous Deployment
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The document discusses techniques for scaling web applications to support massive growth using agile methods. It describes IMVU's architecture transformation from a small site built on open source tools to a large scaled architecture. Key techniques discussed include continuous integration and deployment, incremental changes, monitoring metrics, caching, sharding databases, and evolving data designs without downtime.
![What is IMVU? ,[object Object]](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)
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Just-In-Time Scalability: Agile Methods to Support Massive Growth with Memcached, Solr, and Continuous Deployment
- 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
- 16. Case Study: Steering Data Design
- 17. Case Study: Steering Data Design
- 19. “ Thank You for Listening!”
Editor's Notes
- 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.