Introduction Apache Kafka® is the cornerstone of Uber’s tech stack. It plays an important role in powering several criti...
AWS Weekly Roundup: AI21 Labs’ Jamba-Instruct in Amazon Bedrock, Amazon WorkSpaces Pools, and more (July 1, 2024)
AWS Summit New York is 10 days away, and I am very excited about the new announcements and more than 170 sessions. There...
Modernizing Logging at Uber with CLP (Part II)
Introduction This is the second installment in our series detailing the modernization of Uber’s logging infrastructure u...
Amazon CodeCatalyst now supports GitLab and Bitbucket repositories, with blueprints and Amazon Q feature development
I’m happy to announce that we’re further integrating Amazon CodeCatalyst with two popular code repositories: GitLab and ...
Introducing end-to-end data lineage (preview) visualization in Amazon DataZone
Amazon DataZone is a data management service to catalog, discover, analyze, share, and govern data between data producer...
Amazon WorkSpaces Pools: Cost-effective, non-persistent virtual desktops
You can now create a pool of non-persistent virtual desktops using Amazon WorkSpaces and share them across a group of us...
Optimizing Amazon Simple Queue Service (SQS) for speed and scale
After several public betas, we launched Amazon Simple Queue Service (Amazon SQS) in 2006. Nearly two decades later, this...
AWS Weekly Roundup: Claude 3.5 Sonnet in Amazon Bedrock, CodeCatalyst updates, SageMaker with MLflow, and more (June 24, 2024)
This week, I had the opportunity to try the new Anthropic Claude 3.5 Sonnet model in Amazon Bedrock just before it launc...
Personalized Marketing at Scale: Uber’s Out-of-App Recommendation System
Introduction Out-of-app (OOA) communication (such as email, push, and SMS) is an important growth lever at Uber. It allo...
How Uber ensures Apache Cassandra®’s tolerance for single-zone failure
Introduction Uber has been running an open-source Apache Cassandra® database as a service that powers a variety of missi...