How Shopify Uses Memcached
8 engineering articles about Memcached from Shopify's engineering team
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The article discusses the critical role of caching in Rails applications and the inherent risks associated with using Ruby's Marshal for serialization.
Chris Salzberg
12 min read
Includes Code
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The article discusses Shopify's approach to shard balancing within its MySQL database infrastructure, emphasizing the importance of maintaining balanced database utilization to prevent failures and...
The article discusses Shopify's capacity planning strategies for handling increased traffic during the Black Friday and Cyber Monday (BFCM) shopping period.
Kathryn Tang
7 min read
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The article discusses how Shopify improved the performance of its flagship app, Shop, by implementing a custom caching solution that reduced database load by 15% and overall app latency by 20%.
The article discusses the importance of building mental models to enhance understanding and decision-making in engineering and management.
This article discusses five common data stores—Relational Database, Non-Relational (NoSQL) Database, Key-Value Store, Full-Text Search Engine, and Message Queue—highlighting their characteristics a...
Toria Gibbs
11 min read
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The article provides an in-depth look at Shopify's tech stack and engineering practices, detailing how the platform scales to support over 600,000 merchants and 80,000 requests per second.
ActiveRecordDockerHerokuHTMLJavaScriptjQueryKubernetesLuaMemcachedMySQLRailsReactRedisRubyTypeScript
Kir Shatrov
10 min read
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The article discusses IdentityCache, an internal caching library developed by Shopify for ActiveRecord models, which has now been open-sourced.
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