How Uber Uses Flask
7 engineering articles about Flask from Uber's engineering team
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The article discusses how Uber's Global Scaled Solutions team transitioned from a traditional analytics architecture to a real-time analytics system using Redis, AWS Fargate, and the Dash framework.
Piyush Choudhary, Sujeet Srivastava
12 min read
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The article discusses Uber ATG's machine learning infrastructure and versioning control platform, VerCD, designed to manage the complexities of developing self-driving vehicles.
ApacheApache SparkFlaskGitJenkinsKubernetesMachine LearningMySQLPyTorchREST APISQLAlchemyTensorBoardTensorFlow
Yu Guo, Khalid Ashmawy, Eric Huang, Wei Zeng
28 min read
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The article discusses Uber's experience in rewriting the sharding layer of its Schemaless datastore from Python to Go, highlighting the challenges and successes of performing this migration in a pr...
The article discusses how Uber Engineering scaled its global driver onboarding process to accommodate rapid growth across various cities and countries.
The article delves into Uber's engineering tech stack, focusing on the components that interact with riders and drivers.
Lucie Lozinski
11 min read
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The article discusses Uber's transition from a monolithic architecture to a microservices architecture, highlighting the implementation of Tincup, a currency and exchange rate service.
Emily Reinhold
9 min read
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Uber has launched a public bug bounty program to enhance its security by inviting researchers to identify vulnerabilities.
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