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Scaling Media Machine Learning at Netflix

The Netflix TechBlog

We accomplish this by paving the path to: Accessing and processing media data (e.g. To streamline this process, we standardized media assets with pre-processing steps that create and store dedicated quality-controlled derivatives with associated snapshotted metadata. either a movie or an episode within a show).

Media 290
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RSA guide 2024: AI and security are top concerns for organizations in every industry

Dynatrace

As organizations train generative AI systems with critical data, they must be aware of the security and compliance risks. Generative AI in IT operations – report Read the study to discover how artificial intelligence (AI) can help IT Ops teams accelerate processes, enable digital transformation, and reduce costs.

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Digital transformation strategies: Success stories from three digital transformation journeys

Dynatrace

Digitizing internal processes can improve information flow and enhance collaboration among employees. However, digital transformation requires significant investment in technology infrastructure and processes. Enhanced business operations. federal agency.

Strategy 180
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The top eight DevSecOps trends in 2022

Dynatrace

DevSecOps teams can address this unsettling tradeoff by automating processes throughout the SDLC, centralizing application configuration with a shared set of tools, and using observability platforms to gain visibility into code-quality lapses, security gaps, and other software development issues. and 2.14.1.

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Orchestrating Data/ML Workflows at Scale With Netflix Maestro

The Netflix TechBlog

These include ETL pipelines, ML model training workflows, batch jobs, etc. For example, a workflow to backfill hourly data for the past five years can lead to 43800 jobs (24 * 365 * 5), each of which processes data for an hour. All the requests are processed via distributed queues for message passing.

Java 202
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Stuff The Internet Says On Scalability For November 9th, 2018

High Scalability

This industrializes and 10x existing processes and creates new ones. You can now train CIFAR10 for just $0.06 They'll love it and you'll be their hero forever. $3 3 billion : Tesla's yearly spend on gigafactories; 18,000 : GDPR data breach notifications since May; 30 : happy birthday Morris Worm!; From wet lab problems to dry lab ones.

Internet 192
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How Netflix Scales its API with GraphQL Federation (Part 2)

The Netflix TechBlog

This gives us access to Netflix’s Java ecosystem, while also giving us the robust language features such as coroutines for efficient parallel fetches, and an expressive type system with null safety. We partnered with Netflix’s Developer Experience (DevEx) team to build out documentation, training materials, and tutorials for developers.