The Netflix TechBlog

MARCH 5, 2019

Central engineering teams enable this operational model by reducing the cognitive burden on innovation teams through solutions related to securing, scaling and strengthening (resilience) the infrastructure. All these micro-services are currently operated in AWS cloud infrastructure.

Infrastructure 182

Infrastructure Cloud Scalability AWS 182

The Netflix TechBlog

DECEMBER 3, 2022

Optionally, this step can use the Write-Audit-Publish pattern to ensure that data is correct before it is made available to the rest of the company. Having a well-defined set of defaults for data pipeline creation across Netflix makes onboarding easier, provides standardization and centralization best practices.

Best Practices 358

Best Practices Code Testing Data Engineering 358

Abhishek Tiwari

JULY 12, 2018

Lastly, we will talk about the internal platform and product divide – one key reason why data pipeline initiatives typically fail – and why it is better working backward from the product. Unfortunately, building data pipelines remains a daunting, time-consuming, and costly activity.

Latency 63

Latency Analytics Scalability Engineering 63