Arequipa Archives

Engineering, Backend

How Uber Indexes Streaming Data with Pull-Based Ingestion in OpenSearch™

December 16 / Global

Engineering, Backend

How Uber, OCI™, and Ampere® Co-Optimized OCI AmpereOne® M A4 Compute

December 15 / Global

Engineering, Data / ML

From Batch to Streaming: Accelerating Data Freshness in Uber’s Data Lake

December 11 / Global

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Engineering, Data / ML

Blazing Fast OLAP on Uber’s Inventory and Catalog Data with Apache Pinot™

December 9 / Global

Engineering, Backend

Improving MySQL® Cluster Uptime: Making MGR Viable at Scale

December 4 / Global

Engineering, Backend

Improving MySQL® Cluster Uptime: Designing Advanced Detection, Mitigation, and Consensus with Group Replication

December 2 / Global

Ride

New Global Survey Reiterates Uber’s Role in Reducing Drunk Driving

November 24 / Global

Most popular

Higher EducationOctober 6 / Global

Evolution and Scale of Uber’s Delivery Search Platform

November 24 / Global

Engineering, Backend

Ceilometer: Uber’s Adaptive Benchmarking Framework

November 20 / Global

Engineering, Data / ML, Uber AI

Enhancing Uber’s Guidance Heatmap with Deep Probabilistic Models

November 18 / Global

Transit

Case study: How Bloomington Transit broadens reach without breaking the budget

November 13 / Global

Backend, Data / ML, Engineering, Uber AI

I/O Observability for Uber’s Massive Petabyte-Scale Data Lake

November 13 / Global

Data / ML, Engineering

Building Zone Failure Resilience in Apache Pinot™ at Uber

November 6 / Global

Advertising

Uber Advertising Unveils Industry-First Custom Attention Metric with Adelaide and Kantar

November 4 / Global

Data / ML

Raising the Bar on ML Model Deployment Safety

October 30 / Global

Engineering, Data / ML

Enabling Deep Model Explainability with Integrated Gradients at Uber

October 23 / Global

On the move in Arequipa

Things to do and ways to get there

Powering Billion-Scale Vector Search with OpenSearch

How Uber Indexes Streaming Data with Pull-Based Ingestion in OpenSearch™

How Uber, OCI™, and Ampere® Co-Optimized OCI AmpereOne® M A4 Compute

From Batch to Streaming: Accelerating Data Freshness in Uber’s Data Lake

Get a ride when you need one

Start earning in your city

Get a ride when you need one

Start earning in your city

Blazing Fast OLAP on Uber’s Inventory and Catalog Data with Apache Pinot™

Improving MySQL® Cluster Uptime: Making MGR Viable at Scale

Improving MySQL® Cluster Uptime: Designing Advanced Detection, Mitigation, and Consensus with Group Replication

New Global Survey Reiterates Uber’s Role in Reducing Drunk Driving

Most popular

Campus chaos, resolved: streamlining event transportation with Vouchers

Improving MySQL® Cluster Uptime: Making MGR Viable at Scale

Cadence Workflow Joins the Cloud Native Computing Foundation

Blazing Fast OLAP on Uber’s Inventory and Catalog Data with Apache Pinot™

Evolution and Scale of Uber’s Delivery Search Platform

Ceilometer: Uber’s Adaptive Benchmarking Framework

Enhancing Uber’s Guidance Heatmap with Deep Probabilistic Models

Case study: How Bloomington Transit broadens reach without breaking the budget

I/O Observability for Uber’s Massive Petabyte-Scale Data Lake

Building Zone Failure Resilience in Apache Pinot™ at Uber

Uber Advertising Unveils Industry-First Custom Attention Metric with Adelaide and Kantar

Raising the Bar on ML Model Deployment Safety

Enabling Deep Model Explainability with Integrated Gradients at Uber

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