How Netflix Uses DynamoDB
10 engineering articles about DynamoDB from Netflix's engineering team
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Netflix's Key-Value Data Abstraction Layer (KV DAL) enhances data access across its distributed databases, addressing challenges in consistency, durability, and performance.
The article discusses how Netflix supports a diverse range of machine learning (ML) systems through its Machine Learning Platform (MLP) and the Metaflow framework.
ApacheApache ArrowApache SparkAWSDockerDynamoDBJSONKubernetesMachine LearningPandasPolarsREST APIStreamlit
Netflix Technology Blog
15 min read
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The article discusses ConsoleMe, an open-source tool developed by Netflix for managing AWS permissions and access across multiple accounts.
The article discusses Netflix's implementation of auto scaling for its container management platform, Titus, leveraging AWS Auto Scaling features.
The article discusses Netflix's participation in AWS re:Invent 2017, highlighting various talks and sessions led by Netflix engineers.
The article introduces two new open-source cloud security tools from Netflix: Aardvark and Repokid.
The article discusses the evolution of Chaos Engineering at Netflix, particularly focusing on the development of tools like Chaos Monkey and Chaos Kong to improve system resilience against failures.
The article discusses S3mper, a library developed by Netflix to address consistency issues in data processing within the cloud, particularly when using AWS S3.
The article discusses the winners of the Netflix Open Source Software Cloud Prize, highlighting their contributions to the NetflixOSS ecosystem.
The article discusses the nominations for the Netflix Open Source Software Cloud Prize, highlighting various innovative contributions from developers and companies aimed at enhancing NetflixOSS.
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