What’s popular in business

Case Study: How Pinterest Built a Stream Processing Platform with Apache Flink

By Chen Qin

Facing rapid growth and competition in its online business, Pinterest had to evolve its data stack from offline-only ETL batch jobs to near-real-time big data applications. But stateful stream processing is ...

Pinterest's journey to the cloud

By Micheal Benedict

Pinterest helps you discover and do what you love. Pinterest's infrastructure is built to cater to its scale—over 150M MAUs across the globe contributing and combing through a billion pins—which has ...

How Uber uses machine learning and deep learning to forecast business

By Andrea Pasqua

Andrea Pasqua investigates the merits of using deep learning and other machine learning approaches in the area of forecasting and describes some of the machine learning approaches Uber uses to forecast ...

How The Home Depot develops software with OpenSource

By Cade Thacker, Jermaine Davis

Cade Thacker and Jermaine Davis explain how The Home Depot built a culture of open source development. Along the way, they share perspectives on the coding, tooling, and processes that built ...

How Spotify uses machine learning to personalize the user experience

By Mounia Lalmas

Understanding user listening behavior is essential for personalizing music listening experiences on Spotify. Mounia Lalmas explains how Spotify uses machine learning recommenders that take into account what and how users consume ...

Observability at Google

By Jaana B. Dogan

Google has been doing microservices observability for more than a decade. Jaana Burcu Dogan outlines key approaches in instrumenting Google's services, shares best practices and lessons learned related to patterns, UX, ...