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Rebuilding Netflix Video Processing Pipeline with Microservices

The Netflix TechBlog

Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process. The Netflix video processing pipeline went live with the launch of our streaming service in 2007. The Netflix video processing pipeline went live with the launch of our streaming service in 2007.

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Practical API Design at Netflix, Part 1: Using Protobuf FieldMask

The Netflix TechBlog

When we process a request it is often beneficial to know which fields the caller is interested in and which ones they ignore. How can we achieve a similar functionality when designing our gRPC APIs? By default, gRPC uses protobuf as its IDL (interface definition language) and data serialization protocol.

Design 245
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Ready-to-go sample data pipelines with Dataflow

The Netflix TechBlog

One of the main reasons this feature exists is just like with food samples, to give you “a taste” of the production quality ETL code that you could encounter inside the Netflix data ecosystem. " , country_code STRING COMMENT "Country code of the playback session." This is one way to build trust with our internal user base.

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Frustrating Design Patterns: Disabled Buttons

Smashing Magazine

Frustrating Design Patterns: Disabled Buttons. Frustrating Design Patterns: Disabled Buttons. After all, as designers and developers, we want to make it more difficult for our users to make mistakes. Part Of: Design Patterns. As it turns out, we do so just to avoid any disruptions or interruptions of the ongoing process.

Design 145
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Microservices: A quick and simple definition

O'Reilly Software

Sam Newman provides a succinct definition of microservices in Building Microservices : “Microservices are small, autonomous services that work together.”. Built and released with automated processes. Codebases grow as we write code to add new features. That complexity is often managed with tooling, automation, and process.

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Building High-Quality Software

DZone

It’s much better to build your process around quality checks than retrofit these checks into the existent process. NIST did classic research to show that catching bugs at the beginning of the development process could be more than ten times cheaper than if a bug reaches production. There are so many benefits. Important note.

Software 245
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Data pipeline asset management with Dataflow

The Netflix TechBlog

any business logic code in a raw (e.g. The design of a cron job is simple, you take some system command, you pick the schedule to run it on and you are done. Or what if Alice wanted to add new backup functionality and she accidentally broke existing code while updating it? SQL) or compiled (e.g. data pipeline ?—?a workflow ?—?see

Storage 201