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How Ramp Uses AWS

5 engineering articles about AWS from Ramp's engineering team

Articles

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Intermediate
The article discusses the development of Turbo, a YAML-based configuration system designed to enhance machine learning model deployment at Ramp.
Ryan Stevens, Ryne Carbone
9 min read
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Intermediate
This article discusses the implementation of just-in-time (JIT) access to cloud resources at Ramp, focusing on balancing speed and security for backend engineers.
Julien Colombain
11 min read
Includes Code
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Advanced
The article discusses the optimization of a Python monolith's test suite, which initially took 45 minutes to run and was reduced to under 5 minutes through various strategies.
Rodda John, Luke Zeller, Rahul Sengottuvelu
9 min read
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Advanced
The article discusses how Ramp utilized Metaflow to enhance their machine learning development process, thereby simplifying financial operations.
Peyton McCullough
11 min read
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Intermediate
The article discusses strategies to reduce the duration of Python test suites, which were previously taking around 20 minutes to run.
Max Lahey
12 min read
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