How Shopify Uses Datadog
7 engineering articles about Datadog from Shopify's engineering team
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This article provides a step-by-step guide on how to extract Datadog metrics using Python for analysis in Jupyter Notebooks.
Shopify's new machine learning platform, Merlin, is designed to enhance the efficiency of data scientists by providing a robust infrastructure and tools for machine learning workflows.
Isaac Vidas
14 min read
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This article discusses the recent MySQL upgrade at Shopify, detailing the motivations behind the upgrade, the challenges faced during the process, and the internal tools developed to streamline fut...
Yi Qing Sim
18 min read
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The article discusses Shopify's efforts to enhance the performance of Trino, a distributed SQL query engine, to provide faster query execution times for data scientists.
The article discusses the strategies and practices employed by Shopify to ensure the reliability of its Point Of Sale (POS) mobile application.
The article discusses Shopify's approach to keeping their Rails dependencies up to date by living on the Edge of Rails, which allows them to integrate the latest changes continuously.
This article discusses Shopify's transition to a Docker-powered, containerized data center, detailing the creation of containers that support over 100,000 online shops.
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