Remove Architecture Remove Entertainment Remove Latency
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Foundation Model for Personalized Recommendation

The Netflix TechBlog

This scenario underscored the need for a new recommender system architecture where member preference learning is centralized, enhancing accessibility and utility across different models. Yet, many are confined to a brief temporal window due to constraints in serving latency or training costs.

Tuning 163
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Migrating Critical Traffic At Scale with No Downtime?—?Part 2

The Netflix TechBlog

Behind these perfect moments of entertainment is a complex mechanism, with numerous gears and cogs working in harmony. By collecting and analyzing key performance metrics of the service over time, we can assess the impact of the new changes and determine if they meet the availability, latency, and performance requirements.

Traffic 285
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Telltale: Netflix Application Monitoring Simplified

The Netflix TechBlog

For example, a latency increase is less critical than error rate increase and some error codes are less critical than others. A healthy Netflix service enables us to entertain the world. Client metrics and QoE changes. Alerts triggered by our alerting platform. Telltale is application monitoring simplified.

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Growth Engineering at Netflix?—?Automated Imagery Generation

The Netflix TechBlog

entertainment?—?and Server-generated assets, since client-side generation would require the retrieval of many individual images, which would increase latency and time-to-render. To reduce latency, assets should be generated in an offline fashion and not in real time. Here’s what the final architecture looked like.

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Growth Engineering at Netflix- Creating a Scalable Offers Platform

The Netflix TechBlog

In particular, we’ll define plans and offers, review the legacy architecture and some of its shortcomings, and dig into our new architecture and some of its advantages. Let’s take a deeper look at the architecture, protocols, and systems involved. How, when, and where people want to be entertained continues to evolve.

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Snap: a microkernel approach to host networking

The Morning Paper

You need a lot of software engineers and the willingness to rewrite a lot of software to entertain that idea. Here are the bombshell paragraphs: Our datacenter applications seek ever more CPU-efficient and lower-latency communication, which Pony Express delivers. The desire for CPU efficiency and lower latencies is easy to understand.

Network 92
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Expanding the Cloud - Cluster Compute Instances for Amazon EC2.

All Things Distributed

Other industries using Amazon EC2 for HPC-style workloads include pharmaceuticals, oil exploration, industrial and automotive design, media and entertainment, and more. When instances are placed in a cluster they have access to low latency, non-blocking 10 Gbps networking when communicating the other instances in the cluster.

Cloud 96