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Efficient Multimodal Data Processing: A Technical Deep Dive

DZone

Handling multimodal data spanning text, images, videos, and sensor inputs requires resilient architecture to manage the diversity of formats and scale.

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Netflix Video Quality at Scale with Cosmos Microservices

The Netflix TechBlog

Moorthy and Zhi Li Introduction Measuring video quality at scale is an essential component of the Netflix streaming pipeline. Perceptual quality measurements are used to drive video encoding optimizations , perform video codec comparisons , carry out A/B testing and optimize streaming QoE decisions to mention a few.

Media 178
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Netflix Cloud Packaging in the Terabyte Era

The Netflix TechBlog

After content ingestion, inspection and encoding, the packaging step encapsulates encoded video and audio in codec agnostic container formats and provides features such as audio video synchronization, random access and DRM protection. Uploading and downloading data always come with a penalty, namely latency.

Cloud 242
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Designing Instagram

High Scalability

Generating machine learning based personalized recommendations to discover new people, photos, videos, and stories relevant one’s interest. After that, the post gets added to the feed of all the followers in the columnar data storage. Users should be able to like and comment the posts. Out of Scope. High Level Design.

Design 334
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Introducing Netflix TimeSeries Data Abstraction Layer

The Netflix TechBlog

Rajiv Shringi Vinay Chella Kaidan Fullerton Oleksii Tkachuk Joey Lynch Introduction As Netflix continues to expand and diversify into various sectors like Video on Demand and Gaming , the ability to ingest and store vast amounts of temporal data — often reaching petabytes — with millisecond access latency has become increasingly vital.

Latency 239
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Edgar: Solving Mysteries Faster with Observability

The Netflix TechBlog

This difference has substantial technological implications, from the classification of what’s interesting to transport to cost-effective storage (keep an eye out for later Netflix Tech Blog posts addressing these topics). As you can imagine, this comes with very real storage costs. Is this an anomaly or are we dealing with a pattern?

Latency 298
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Best practices and key metrics for improving mobile app performance

Dynatrace

This includes how quickly the application loads, how much load it is putting on the device, how much storage is being used, and how frequently it crashes. By monitoring metrics such as error rates, response times, and network latency, developers can identify trends and potential issues, so they don’t become critical.