article thumbnail

Timestone: Netflix’s High-Throughput, Low-Latency Priority Queueing System with Built-in Support…

The Netflix TechBlog

Timestone: Netflix’s High-Throughput, Low-Latency Priority Queueing System with Built-in Support for Non-Parallelizable Workloads by Kostas Christidis Introduction Timestone is a high-throughput, low-latency priority queueing system we built in-house to support the needs of Cosmos , our media encoding platform. Over the past 2.5

Latency 212
article thumbnail

How To Boost Media Performance On A Budget

Smashing Magazine

How To Boost Media Performance On A Budget. How To Boost Media Performance On A Budget. Unquestionably, media enlivens websites, adding appeal, excitement, and intrigue, let alone enticements to stay on a page and frequently revisit it. Of the many factors that affect page-load speed, media is a significant one.

Media 117
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Scalable Annotation Service?—?Marken

The Netflix TechBlog

The service should be able to serve real-time, aka UI, applications so CRUD and search operations should be achieved with low latency. Our team, Asset Management Platform, owns a different service that has a json based DSL to describe the schema of a media asset. Teams should be able to define their data model for annotation.

article thumbnail

Supporting Diverse ML Systems at Netflix

The Netflix TechBlog

Berg , Romain Cledat , Kayla Seeley , Shashank Srikanth , Chaoying Wang , Darin Yu Netflix uses data science and machine learning across all facets of the company, powering a wide range of business applications from our internal infrastructure and content demand modeling to media understanding.

Systems 226
article thumbnail

Designing Instagram

High Scalability

User Feed Service, Media Counter Service) read the actions from the streaming data store and performs their specific tasks. media search index, locations search index, and so forth) in future. When a user requests for feed then there will be two parallel threads involved in fetching the user feeds to optimize for latency.

Design 334
article thumbnail

Edge Data Platforms, Real-Time Services, and Modern Data Trends

DZone

By processing data at the edge of the network, latency can be minimized, which means that data can be processed and analyzed faster. This is especially important for applications that require real-time responses, such as autonomous vehicles, industrial IoT applications, or streaming media.

IoT 130
article thumbnail

Five Steps to Building a Tier 1 Service that Is Resilient to Outages

DZone

They address the primary use cases for the organization’s products or support its underlying vital infrastructures, such as a product search service for an e-commerce site, a content posting service for a social media app, or a payment processing framework. That is why it is important to build these services right the first time.