DZone

MARCH 29, 2023

With the rapid adoption of cloud computing , businesses are moving their IT infrastructure to the cloud. This article discusses the challenges and best practices of data migration when transferring on-premise data to the cloud.

Best Practices 304

Best Practices Cloud Storage Data Engineering 304

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

Having a well-defined set of defaults for data pipeline creation across Netflix makes onboarding easier, provides standardization and centralization best practices. Centralized Best Practices Data infrastructure evolves continually. Let’s review them below.

Best Practices 358

Best Practices Code Testing Data Engineering 358

Abhishek Tiwari

JULY 12, 2018

Unfortunately, building data pipelines remains a daunting, time-consuming, and costly activity. Not everyone is operating at Netflix or Spotify scale data engineering function. Often companies underestimate the necessary effort and cost involved to build and maintain data pipelines.

Latency 63

Latency Analytics Scalability Engineering 63

The Netflix TechBlog

JUNE 6, 2022

This approach has also allowed us to build strong relationships with central engineering teams at Netflix (Data Platform, Developer Tools, Cloud Infrastructure, IAM Product Engineering) that will continue to serve as central points of leverage for security in the long term.

Software Engineering 169

Software Engineering Scalability Education Engineering 169