Are you new to the world of stream data processing ? Or are you looking for reference how others are running Flink ?
- What problems companies aim to solve with Flink? 📝
- How Flink use case evolves over the years? 🤩
- How companies go around with running Flink at scale? 🚀
- Adobe
- Airbnb
- Alibaba
- Amazon
- Apple
- Bloomberg
- Booking
- ContentSquare
- Criteo
- Deliveroo
- Deloitte
- Doordash
- Ebay
- GoTo
- Grab
- Instacart
- Intuit
- Lyft
- Marshall Wace
- Mercedes-Benz
- Netflix
- Ngrok
- Options Clearing Corporation
- Palo Alto Network
- Salesforce
- Shopify
- Stripe
- Uber
- Yelp
- Zalando
- Zhongyuan Bank
- Apache Flink® on Kubernetes -
2024- 📚 - Building production Flink jobs with Airstream at Airbnb - Pala Muthiah & Hao Wang -
2019- 📚
- Four Billion Records per Second! What is Behind Alibaba Double 11 - Flink Stream-Batch Unification Practice during Double 11 for the Very First Time -
2020- 📚 - A Brief History of Flink: Tracing the Big Data Engine’s Open-source Development -
2019- 🎙️ - Better to Give and to Receive: Alibaba’s Open-source Contributions to Flink -
2019- 🎙️ - In Search of Data Dominance: Spark Versus Flink -
2018- 🎙️ - Flink or Flunk? Why Ele.me Is Developing a Taste for Apache Flink -
2018- 🎙️ - From Code Quality to Integration: Optimizing Alibaba’s Blink Testing Framework -
2018- 🎙️ - Alibaba Blink: Real-Time Computing for Big-Time Gains -
2018- 🎙️
- MEETUP: Apple employees discuss; Streaming from Iceberg Data Lake & Multi Cluster Kafka Source -
2022- 🎙️
- Flink Forward SF 2022: Keynote: Apache Flink as a security data processing engine at Booking.com -
2022- 🎙️
- Ten Flink Gotchas we wish we had known -
2021- 📚
- Data Streaming with Flink -
2018- 📚
- The road to running Apache Flink applications on AWS KDA -
2023- 📚 - How Apache Flink Delivers for Deliveroo -
2023- 🎙️
- Leveraging ML Forecast Models for Predictive Resource Provisioning in Flink Applications -
2024- 🎙️ - Safer deployment of streaming applications -
2023- 📚
- Where’s My Data — A Unique Encounter with Flink Streaming’s Kinesis Connector -
2023- 📚 - How Lyft built a streaming data platform with Flink on Kubernetes - Micah Wylde -
2020- 🎙️
- Implementing Event Tracing in Flink Applications -
2024- 🎙️
- Building a Scalable Flink Platform: A Tale of 15,000 Jobs at Netflix -
2024- 🎙️ - Streaming SQL in Data Mesh -
2023- 📚 - 2021 Apache Flink Meetup - Hosted by Netflix -
2021- 🎙️ - Building metric platform using Flink for massive scale at Netflix - Abhay Amin -
2020- 🎙️ - Flink Meetup at Netflix (Los Gatos) - January 28, 2020 -
2020- 🎙️ - Autoscaling Flink at Netflix - Timothy Farkas -
2020- 🎙️ - High-Quality Performant and Cost Efficient Schema-Aware Data Streams on Flink at Netflix Scale -
2020- 🎙️ - Massive Scale Data Processing at Netflix using Flink - Snehal Nagmote & Pallavi Phadnis -
2019- 🎙️ - Real-time Processing with Flink for Machine Learning at Netflix - Elliot Chow -
2019- 🎙️ - #FlinkForward SF 2017: Monal Daxini - Stream Processing with Flink at Netflix -
2017- 🎙️
- How we built ngrok's data platform -
2024- 📚
- How the World's Largest Options Clearinghouse Moved From Batch to Stream Processing to Manage Risk -
2024- 🎙️
- Customize Flink for Pinterest User Cases at Scale -
2024- 🎙️ - Tuning Flink Clusters for Stability and Efficiency -
2023- 📚 - Pinterest Flink Deployment Framework -
2021- 📚 - Detecting Image Similarity in (Near) Real-time Using Apache Flink -
2021- 📚 - Unified Flink Source at Pinterest: Streaming Data Processing -
2021- 📚 - Faster Flink adoption with self-service diagnosis tool at Pinterest -
2021- 📚 - Real-time experiment analytics at Pinterest using Apache Flink -
2019- 📚
- Protecting Reddit Users in Real Time at Scale -
2023- 📚 - Keeping Redditors safe in real-time with Flink Stateful Functions -
2021- 🎙️
- 7 Tips For Optimizing Apache Flink Applications -
2022- 📚 - 3 (More) Tips for Optimizing Apache Flink Applications -
2022- 📚 - Scaling Shopify's BFCM Live Map: An Apache Flink Redesign -
2021- 📚
- Streamlining Real-Time Data Processing at Uber with Protobuf Integration -
2024- 🎙️ - Protobuf Support in Uber's Real-Time Data Stack -
2024- 🎙️ - Driving Real-Time Data Solutions: Insights from Uber's Na Yang -
2024- 📚 - Real-Time Exactly-Once Ad Event Processing with Apache Flink, Kafka, and Pinot -
2021- 📚 - Powering OLAP at Uber using Apache Flink -
2020- 🎙️ - [Uber Seattle] Introduction to Kappa+ Architecture using Apache Flink -
2019- 🎙️ - Scaling Uber’s Realtime Optimization with Apache Flink - Xingzhong Xu -
2019- 🎙️ - [Uber Seattle] When Apache Pulsar Meets Apache Flink -
2019- 🎙️ - Building Flink As a Service platform at Uber - Shuyi Chen & Rong Rong -
2019- 🎙️ - Practical Experience running Flink in Production - Shuyi Chen & Rong Rong -
2019- 🎙️ - #FlinkForward SF 2017: Liu & Mai - AthenaX: Uber’s streaming processing platform on Flink -
2017- 🎙️
- Flink on PaaSTA: Yelp’s new stream processing platform runs on Kubernetes -
2020- 📚 - Realtime bot detection with Flink -
2020- 🎙️ - Kubernetes + Operator + PaaSTA = Flink @ Yelp - Antonio Verardi -
2019- 🎙️ - Stream SQL with Flink @ Yelp - Enrico Canzonieri -
2019- 🎙️ - How Yelp uses Flink for predicting store visits in real time -
2019- 📚 - Powering Yelp’s Data Pipeline Infrastructure with Apache Flink - Enrico Canzonieri -
2018- 🎙️