Uber

TitlePublish DateSource
ML Education at Uber: Program Design and Outcomes2022-08-02 16:30:40+00:00Uber
ML Education at Uber: Frameworks Inspired by Engineering Principles2022-07-28 16:30:03+00:00Uber
Supercharging A/B Testing at Uber2022-07-21 16:30:36+00:00Uber
Vertical CPU Scaling: Reduce Cost of Capacity and Increase Reliability2022-07-14 16:30:10+00:00Uber
Uber’s Highly Scalable and Distributed Shuffle as a Service2022-07-07 16:30:13+00:00Uber
Introducing Shadower: A Minimalistic Load Testing Tool2022-06-30 16:30:08+00:00Uber
How We Halved Go Monorepo CI Build Time2022-06-23 16:30:46+00:00Uber
Enabling Offline Inferences at Uber Scale2022-06-15 16:30:50+00:00Uber
Uber’s Real-Time Document Check2022-06-09 16:30:47+00:00Uber
Data Race Patterns in Go2022-06-02 16:00:31+00:00Uber
USL – Uber’s Unified Signup and Login Stack2022-05-26 16:30:36+00:00Uber
Better Load Balancing: Real-Time Dynamic Subsetting2022-05-17 16:30:26+00:00Uber
Dynamic Data Race Detection in Go Code2022-04-28 16:30:31+00:00Uber
Presto® on Apache Kafka® At Uber Scale2022-04-14 16:30:17+00:00Uber
Securing Kafka® Infrastructure at Uber2022-04-07 16:30:06+00:00Uber
Uber’s Emergency Button and The Technologies Behind It2022-03-31 16:30:32+00:00Uber
Avoiding CPU Throttling in a Containerized Environment2022-03-22 16:30:43+00:00Uber
One Stone, Three Birds: Finer-Grained Encryption @ Apache Parquet™2022-03-10 17:30:22+00:00Uber
Introducing Ballast: An Adaptive Load Test Framework2022-03-01 17:30:08+00:00Uber
Introducing Carbon Feed for Earners: The One-Stop Info Shop2022-02-16 17:30:26+00:00Uber
DeepETA: How Uber Predicts Arrival Times Using Deep Learning2022-02-10 17:30:21+00:00Uber
Project RADAR: Intelligent Early Fraud Detection System with Humans in the Loop2022-02-01 17:30:26+00:00Uber
Cost Efficiency @ Scale in Big Data File Format2022-01-25 17:30:56+00:00Uber
Capacity Recommendation Engine: Throughput and Utilization Based Predictive Scaling2022-01-19 17:43:42+00:00Uber
The New Version of Orbit (v1.1) is Released: The Improvements, Design Changes, and Exciting Collaborations2022-01-11 17:30:50+00:00Uber
How We Saved 70K Cores Across 30 Mission-Critical Services (Large-Scale, Semi-Automated Go GC Tuning @Uber)2021-12-22 17:30:17+00:00Uber
Cadence Multi-Tenant Task Processing2021-12-16 17:30:14+00:00Uber
CRISP: Critical Path Analysis for Microservice Architectures2021-11-18 18:00:39+00:00Uber
How Uber Migrated Financial Data from DynamoDB to Docstore2021-11-10 17:00:50+00:00Uber
Introducing uGroup: Uber’s Consumer Management Framework2021-10-21 16:00:52+00:00Uber
Improving HDFS I/O Utilization for Efficiency2021-10-13 16:00:31+00:00Uber
Building Uber’s Fulfillment Platform for Planet-Scale using Google Cloud Spanner2021-09-29 19:56:20+00:00Uber
Real-Time Exactly-Once Ad Event Processing with Apache Flink, Kafka, and Pinot2021-09-23 16:00:42+00:00Uber
YAML Generator for Funnel YAML Files: Streamlining the Mobile Data Workflow Process2021-09-16 16:00:32+00:00Uber
Jellyfish: Cost-Effective Data Tiering for Uber’s Largest Storage System2021-09-09 16:00:19+00:00Uber
Streaming Real-Time Analytics with Redis, AWS Fargate, and Dash Framework2021-09-02 16:00:50+00:00Uber
Enabling Seamless Kafka Async Queuing with Consumer Proxy2021-08-31 16:00:32+00:00Uber
How Data Shapes the Uber Rider App2021-08-26 16:00:20+00:00Uber
Building Scalable Streaming Pipelines for Near Real-Time Features2021-08-24 16:00:51+00:00Uber
Eats Safety Team On-Call Overview2021-08-19 16:00:52+00:00Uber
Unifying Support Content to Enable More Empathetic and Personalized Customer Support Experiences2021-08-17 16:00:58+00:00Uber
Efficiently Managing the Supply and Demand on Uber’s Big Data Platform2021-08-13 16:00:16+00:00Uber