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title: Best Uber posts of 2025 | daily.dev
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# Best of Uber — 2025

1. 1  
[](/posts/how-uber-saved-6-000-000-in-database-costs-sjzvrizwe "How Uber Saved $6,000,000 in Database Costs")  
Video  
![Avatar of kikisbytes](https://media.daily.dev/image/upload/s--GJQRfY13--/f_auto/v1752677336/logos/kikisbytes)Kiki's Bytes · 1y  
How Uber Saved $6,000,000 in Database Costs  
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.  
91  
3
2. 2  
[](/posts/how-uber-built-odin-to-handle-3-8-million-containers-emp3scdae "How Uber Built Odin to Handle 3.8 Million Containers")  
Article  
![Avatar of bytebytego](https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/35be29234ee14d01a9cd049c52e12753)ByteByteGo · 2y  
How Uber Built Odin to Handle 3.8 Million Containers  
Uber created Odin to automate the management of its massive database and storage infrastructure, handling 3.8 million containers and over 100,000 hosts. Odin utilizes self-healing loops, efficient resource scheduling, and technology-agnostic integration to ensure high availability, optimal performance, and minimal manual intervention. Key features include self-healing systems, dynamic workload rescheduling, and efficient storage management. Odin represents a significant advancement in automated, intent-based infrastructure management.  
86  
1
3. 3  
[](/posts/how-uber-built-a-conversational-ai-agent-for-financial-analysis-m8kmppmah "How Uber Built a Conversational AI Agent For Financial Analysis")  
Article  
![Avatar of bytebytego](https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/35be29234ee14d01a9cd049c52e12753)ByteByteGo · 49w  
How Uber Built a Conversational AI Agent For Financial Analysis  
Uber built Finch, a conversational AI agent that enables finance teams to query financial data using natural language directly in Slack. The system translates questions into SQL queries, retrieves data from curated single-table data marts, and returns results in seconds. Finch uses a modular architecture with specialized agents orchestrated by LangGraph, OpenSearch for semantic mapping, and role-based access controls for security. The system includes continuous evaluation against golden queries, performance optimizations through parallel processing and pre-fetching, and plans to expand with deeper FinTech integration and human-in-the-loop validation for executive decisions.  
52
4. 4  
[](/posts/mastering-microservices-with-a-former-uber-and-netflix-architect-pk3opae7v "Mastering microservices with a former Uber and Netflix architect")  
Article  
![Avatar of stackov](https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/003e14873238469caea60ebdd34508ae)Stack Overflow Blog · 1y  
Mastering microservices with a former Uber and Netflix architect  
Jeu, a former architect at Uber and Netflix, now cofounder of Orkes, shares insights on mastering microservices. Orkes offers a developer-first enterprise workflow orchestration platform. The post highlights contributions by Stack Overflow user Alex Stiff.  
25

[See all Uber archives](/tags/uber/best-of)

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