In this video we will explore how Uber managed to reduce their DB costs up to $6 million dollars yearly. 

References: 
1. https://www.uber.com/en-AU/blog/migrating-from-dynamodb-to-ledgerstore/
2. https://www.uber.com/en-CA/blog/how-ledgerstore-supports-trillions-of-indexes/?uclick_id=e706ec35-df99-40c9-b412-866b4dcba56a
3. https://www.uber.com/en-CA/blog/dynamodb-to-docstore-migration/?uclick_id=50c10b28-8fcb-4c8c-8c0f-8ecdafae1bcb

Credits:
- Video by https://pixabay.com/users/tbit-715211/?utm_source=link-attribution&utm_medium=referral&utm_campaign=video&utm_content=1236 from https://pixabay.com//?utm_source=link-attribution&utm_medium=referral&utm_campaign=video&utm_content=1236
- https://pixabay.com/videos/earth-globe-rotate-world-global-1236/

Music: - ♪ [non copyright music] Lofi Type Beat - Saturday Morning | aesthetic lofi music / Lofiru Link :    [![](https://www.gstatic.com/youtube/img/watch/yt_favicon.png) • [non copyright music] Lofi Type Beat ...](https://www.youtube.com/watch?v=LEMZctXCN7Q&t=0s)

Kiki's Bytes 

Uber reduced database costs by $6 million annually by migrating their financial transaction system from DynamoDB to DocStore, their custom MySQL-based distributed database. The migration involved building LedgerStore 2.0 with immutable records, data integrity guarantees, and solving hot partition problems through deterministic sharding. The process included careful data backfilling, shadow writes for real-time sync, and dual read validation to ensure zero downtime during the transition.

How Uber Saved $6,000,000 in Database Costs

<p>looks good, when you have simple and few data structures to store. I’m currently on a system with 1000+ mysql tables and few of them are over 100GBs I don’t think so a relational system can be managed like that.</p>


<p>This was very interesting, thank you.</p>
