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Gatsby Headaches: Working With Media (Part 1)

Smashing Magazine

Gatsby Headaches: Working With Media (Part 1) Gatsby Headaches: Working With Media (Part 1) Juan Diego Rodríguez 2023-10-09T11:00:00+00:00 2023-10-09T21:07:06+00:00 Working with media files in Gatsby might not be as straightforward as expected. — of the many, many plugins available for handling images. Easy enough!

Media 79
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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
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Creating Customized and Bootable Disk Images of Host Systems

DZone

Disk images, also known as ISOs, are essentially digital replicas of physical media such as CDs, DVDs, or hard drives. One powerful tool available in the Linux world for creating disk images is mkisofs. In the realm of Linux and operating systems, disk imaging plays a vital role in various scenarios.

Systems 141
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Scalable Annotation Service?—?Marken

The Netflix TechBlog

All data should be also available for offline analytics in Hive/Iceberg. Our team, Asset Management Platform, owns a different service that has a json based DSL to describe the schema of a media asset. Our architecture makes it possible to easily onboard and ingest data from Media algorithms. Annotations can be versioned.

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The new normal of digital experience delivery – lessons learned from monitoring mission-critical websites during COVID-19

Dynatrace

Over the last two month s, w e’ve monito red key sites and applications across industries that have been receiving surges in traffic , including government, health insurance, retail, banking, and media. Readers who share our privacy concerns, please note, all the data we monitor is publicly available. . Monitoring with ?the

Website 219
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Building a Media Understanding Platform for ML Innovations

The Netflix TechBlog

By Guru Tahasildar , Amir Ziai , Jonathan Solórzano-Hamilton , Kelli Griggs , Vi Iyengar Introduction Netflix leverages machine learning to create the best media for our members. We must quickly surface the most stand-out highlights from the titles available on our service in the form of images and videos in the member experience.

Media 291
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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.