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IFood Case Study.pdf

20221117-CS-iFood.pdf
Preview of iFood Case Study
🔗 Source: assets.confluent.io
📊 Size: 161 KB
📄 Pages: 2 pages
⬇️ Downloads: 81

Summary

iFood, a meal delivery company, faced challenges scaling real-time operations due to heavy operational overhead and lack of internal AWS MSK expertise. Confluent Cloud provided a cloud-native data streaming platform, enabling iFood to scale real-time data availability, improve developer velocity, and lower total cost of ownership. With Confluent, iFood built streaming data pipelines between 2,000 microservices, adopted an event-driven architecture, and expanded to various use cases, including real-time tracking and analytics. The solution resulted in instant and cost-effective scaling, improved developer productivity, and lower TCO, allowing iFood to meet the real-time needs of its customers.

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Description

iFood, a meal delivery company, faced challenges scaling real-time operations due to heavy operational overhead and lack of internal AWS MSK expertise.

Technical Information

  • File Format: PDF
  • File Size: 161 KB
  • Pages: 2
  • Language: EN
  • Total Downloads: 81
  • Last Updated: 1 month ago

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