The Netflix Tech Stack is mainly in the cloud. This naturally implies that it is using SaaS products internally to improve the productivity of the workforce. Netflix uses
Jira Software for managing engineering tasks and
Confluence for documentation requirements.
With a large workforce, managing passwords is difficult, so Netflix employs single-sign-on technologies like
OneLogin to allow access to various SaaS products without remembering hundreds of different passwords. SaaS tools are constantly changing, and knowing Netflix, they will be adapting to be more efficient.
The Netflix tech stack incorporates multiple programming languages, including Java,
JavaScript, Python,
Kotlin, and Swift. Netflix's scalability and security are the results of its use of
Python.
Kotlin comes in handy with other programming languages by granting necessary tooling support.
Python is one of the world's fastest-growing programming languages and is used for everything from operations management/analysis to networking and security. Netflix utilizes Python throughout the entire content lifecycle. Netflix’s OTT architecture also supports Machine Learning (ML) and Artificial Intelligence (AI) for innovations like data-economical encoding and user personalization – giving each user a unique experience and ensuring the content presented to them is personalized to their preferences.
The Netflix tech stack also contains fully comprehensive libraries that improve user experience (UX) and acts as a highlight for the development process. Netflix secures its user-friendly interfaces with React (also known as ReactjJS) , the JavaScript UI library, and applies NodeJS as a framework and WinJS to aid in Windows applications development.
The user never sees the technology stack that goes into streaming their favorite content, but the Netflix engineers are constantly working to improve its platform. For this reason, Netflix has been able to remain the global leader in streaming video.
In fact, Netflix is so synonymous with streaming that the word “Netflix” has become a verb in our daily vernacular.
Netflix has worked continuously to improve video quality for its members worldwide. One significant breakthrough in its continuous attempts to improve UX has been what Netflix calls its Per-title Encode Optimization. Introduced in December 2016, Per-Title Encode Optimization introduced the idea of customizing encoding based on the complexity for better resolution and bitrate selection for each video sequence.
This coding language provides a significant improvement over previously framed resolution and bitrate generation. It does this by taking into account the characteristics of video and optimizing coding performance by selecting parameters.
Another remarkable milestone has been Per-Chunk Encode Optimization as part of the Mobile Encodes for Downloads initiative - the concept of equalizing rate-distortion slopes that work and provide notable enhancements.
GitHub is another application Netflix uses for code collaboration and version control. They also use
LogicMonitor for execution monitoring and
Apteligent (previously known as Crittercism) for mobile error monitoring.
The ambitious team at Netflix is the perfect example of how a company can keep pace with technological advances while still remaining core to its primary deliverable. For consumers, the technology powering the backend is unknown, but the amount of streaming it deploys showcases that they have a winning service that continues to achieve remarkable growth.
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