u/theporterhausmod | Tech Leadin r/dataengineering • Recommends
How Taco Bell Updates Over 7,000 Restaurant Menus Daily
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#amazonaurora#awslambda#awsstepfunctions
Taco Bell: Aurora as The Heart of the Menu Middleware and Data Integration Platform for Taco Bell
Amazon Web Services
849K subscribers • 14 videos on Hallway
- Recommended by 1 person: 1 in engineering communities.
- Made by the vendor. The company whose product it covers made or sponsored it.
Intermediate. Assumes working knowledge.
14K views5 years ago1 recommendation
Cloud and DevOpsDatabases and dataAWSServerlessData engineering and warehouses
An overview of how Taco Bell built a serverless data integration platform using Amazon Aurora, Lambda, and Step Functions.
Taco Bell built a Serverless data integration platform to handle the complex task of creating unique menu's for each of their over 7000 restaurants. This menu middleware utilizes Aurora combined with Amplify, DynamoDB, Lambda, API Gateway, and Step Functions to create a scaleable cost effective data pipeline. Top it off by learning about their hot new internal service Diablo: Data Integration and Batch Lambda Orchestration - an easily extensible internal platform of reusable assets all built using Lambda and Step Functions. Disclaimer: Taco Bell's facts and figures detailed during the course of this presentation have been approximated and were used for illustrative purposes only. Check out more resources for architecting in the #AWS cloud: amzn.to/2ZIbygO #AWS #ThisIsMyArchitectureWhy it's here
1 person recommends thisWhat people say. Recommended as an interesting real-world case study of updating thousands of restaurant menus daily using AWS.