How Ramp Uses AWS
6 engineering articles about AWS from Ramp's engineering team
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How we leveraged Apple Intelligence to match receipts in your photo library to transactions, entirely on-device.
10 min read
Includes Code
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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
Has Summary
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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.
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.
The article discusses how Ramp utilized Metaflow to enhance their machine learning development process, thereby simplifying financial operations.
Peyton McCullough
11 min read
Has Summary
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The article discusses strategies to reduce the duration of Python test suites, which were previously taking around 20 minutes to run.
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