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1
Intro
2
Agenda
3
Use Cases
4
Uber Eats
5
Fraud Detection
6
Realtime Processing
7
Trillion Messages
8
What Kind of Data
9
Uber Ecosystem
10
SLA
11
Kafka Life Cycle
12
Why Audit
13
Counting Messages
14
Ordered Messaging
15
chaperone service
16
query results
17
metrics
18
latency
19
Chaperon
20
Solution
21
Zookeeper
22
Cassandra
23
Comparison
24
Summary
25
Prototypes
26
Questions
Description:
Explore how Uber audits its real-time infrastructure handling over a trillion messages daily in this 41-minute Devoxx conference talk. Dive into the motivation, design, and implementation challenges behind Chaperone, Uber's open-source solution for measuring completeness and reliability at massive scale. Learn about use cases in Uber Eats and fraud detection, the Uber ecosystem, and Kafka lifecycle. Discover how Chaperone addresses ordered messaging, latency, and metrics across multiple data centers. Gain insights into the technical components, including Zookeeper and Cassandra, and understand the prototyping process. Presented by Ankur Bansal, a senior engineer in Uber's Streaming team and Apache Kylin committer, this talk offers valuable lessons for scaling distributed systems and cloud infrastructure.

How Uber Audits Real-Time Infrastructure of Trillion+ Messages

Devoxx
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