PinterestUberLyftNetflixConfluentGrabAtlassian+2

PinterestBlog2w

Partition Finalization in Pinterest’s Next-Generation DB Ingestion Framework

UberBlog2w

Taming the ML Firehose: Scaling Feature Consistency

LyftBlog31 Aug

Rerouting the Stream: How Lyft Moved to the Apache Flink Operator

NetflixBlog21 Aug

A Tale of Two Flink Autoscalers

ConfluentBlog18 Aug

Flink: Programmatic Capabilities for Developers and dbt/SQL-Native for Data Practitioners

GrabBlog24 Jul

Enhancing Flink deployment with shadow testing

GrabBlog24 Jul

The Hugo evolution: Engineering Grab's unified, one-click data ingestion platform with Apache Flink

PinterestBlog24 Jun

Automated Schema Evolution in Pinterest’s Next-Generation DB Ingestion Framework

PinterestBlog24 Jun

Automated Schema Evolution in Pinterest’s Next-Generation DB Ingestion Framework

ConfluentBlog27 May

Customer Intelligence Hub for Real-Time GTM Insights

ConfluentBlog26 May

Add Your First Flink Streaming Transformation

ConfluentBlog25 May

Enterprise Knowledge Management with RAG

AtlassianBlog13 Apr

Engineering the Forge Billing Platform for Reliability and Scale

GrabBlog18 Dec

How Grab is accelerating growth with real-time personalization using Customer Data Platform scenarios

AtlassianBlog15 Dec

Building a Multi Region Compliant Customer Data Lake at Scale

NetflixBlog14 Nov

Medium

ConfluentBlog13 Nov

Detecting the Unexpected: Built-in Real-Time Anomaly Detection in Confluent Cloud for Apache Flink®

GrabBlog30 Oct

Machine-learning predictive autoscaling for Flink

ConfluentBlog29 Oct

Confluent Cloud Q4 2025: Data in Motion for AI

ConfluentBlog29 Oct

Faster, Smarter, More Context-AwareStreaming Agents

Showing the newest 37 of 55 posts.