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kafka-in-production

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Curious to know how big companies are operating their kafka fleet in production? This might be the repo for you:

  • What are the issues encountered when running kafka in production? ๐Ÿ“
  • How other organisations attempt to solve the issues? ๐Ÿ› ๏ธ
  • Why certain approaches are adopted over others? โš–๏ธ
  • What can we learn for our own use case?

Table of Contents

  1. Adobe
  2. Agoda
  3. Airbnb
  4. Allegro
  5. Apple
  6. AppsFlyer
  7. BigCommerce
  8. Bitpanda
  9. Bloomberg
  10. Bolt
  11. Booking.com
  12. Brex
  13. CERN
  14. Cloudflare
  15. Cloudera
  16. Coinbase
  17. Criteo
  18. Datadog
  19. DoorDash
  20. Decathlon
  21. Deliveroo
  22. GoTo
  23. Grab
  24. HelloFresh
  25. Honeycomb
  26. Hubspot
  27. Indeed
  28. Klarna
  29. LinkedIn
  30. Lyft
  31. Michelin
  32. Monzo
  33. Morgan Stanley
  34. Netflix
  35. New Relic
  36. PayPal
  37. Pinterest
  38. Platformatory
  39. Riskified
  40. Robinhood
  41. Shopify
  42. Slack
  43. Stripe
  44. Uber
  45. Wise
  46. Wix
  47. Yelp
  48. Zalando
  49. Zendesk
  50. Zopa Bank

Adobe

Agoda

Airbnb

Allegro

Apple

AppsFlyer

BigCommerce

Bitpanda

Bloomberg

Bolt

Booking.com

Brex

CERN

Cloudflare

Cloudera

Coinbase

Criteo

Datadog

Decathlon

Deliveroo

Doordash

GoTo

Grab

HelloFresh

Honeycomb

Hubspot

Indeed

Klarna

LinkedIn

Lyft

Monzo

Michelin

Morgan Stanley

Netflix

New Relic

Paypal

Pinterest

Platformatory

Riskified

Robinhood

Shopify

Slack

Stripe

Uber

Wise

Wix

Yelp

Zalando

Zendesk

Zopa Bank

About

๐Ÿ“š Tech blogs & talks by companies that run Kafka in production

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