Remove how-kafka-is-used-by-netflix
article thumbnail

Data Engineering Weekly #175

Data Engineering Weekly

I will write a separate blog on these announcements after the Databricks conference; in the meantime, I found the blog from Cube Research, a balanced article about Snowflake Summit. The architecture pattern establishes the baseline of how the cloud providers will eventually eat Snowflake & Databricks lunch.

article thumbnail

Ensuring the Successful Launch of Ads on Netflix

Netflix Tech

We used this simulation to help us surface problems of scale and validate our Ads algorithms. Replaying real traffic and making it appear as Basic with ads traffic was a better solution than artificially simulating Netflix traffic. We used this information to simulate a subscriber population through our AB testing platform.

Algorithm 136
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Data Engineering Weekly #151

Data Engineering Weekly

Github writes an excellent blog to capture the current state of the LLM integration architecture. link] Netflix: Incremental Processing using Netflix Maestro and Apache Iceberg Netflix writes about its incremental processing design with its orchestration engine Maestro on top of Iceberg.

article thumbnail

An Engineering Guide to Data Quality - A Data Contract Perspective - Part 2

Data Engineering Weekly

I won’t bore you with the importance of data quality in the blog. Let’s dive into both architectural patterns and see how to adopt them in real-time and batch data processing. Since Kafka is almost synonymous with real-time data processing, we often call this a “Fronting Kafka” pattern.

article thumbnail

Auto-Diagnosis and Remediation in Netflix Data Platform

Netflix Tech

By Vikram Srivastava and Marcelo Mayworm Netflix has one of the most complex data platforms in the cloud on which our data scientists and engineers run batch and streaming workloads. As our subscribers grow worldwide and Netflix enters the world of gaming , the number of batch workflows and real-time data pipelines increases rapidly.

Kafka 95
article thumbnail

Towards a Reliable Device Management Platform

Netflix Tech

By Benson Ma , Alok Ahuja Introduction At Netflix, hundreds of different device types, from streaming sticks to smart TVs, are tested every day through automation to ensure that new software releases continue to deliver the quality of the Netflix experience that our customers enjoy.

article thumbnail

1. Streamlining Membership Data Engineering at Netflix with Psyberg

Netflix Tech

By Abhinaya Shetty , Bharath Mummadisetty At Netflix, our Membership and Finance Data Engineering team harnesses diverse data related to plans, pricing, membership life cycle, and revenue to fuel analytics, power various dashboards, and make data-informed decisions. How does late-arriving data impact us? Let’s dive in!