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Foundation Model for Personalized Recommendation

The Netflix TechBlog

Yet, many are confined to a brief temporal window due to constraints in serving latency or training costs. The impetus for constructing a foundational recommendation model is based on the paradigm shift in natural language processing (NLP) to large language models (LLMs).

Tuning 165
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Netflix at AWS re:Invent 2019

The Netflix TechBlog

This entertaining romp through the tech stack serves as an introduction to how we think about and design systems, the Netflix approach to operational challenges, and how other organizations can apply our thought processes and technologies. In 2019, Netflix moved thousands of container hosts to bare metal.

AWS 38
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Optimize Citrix platform performance and user experience with Dynatrace (GA)

Dynatrace

Having released this functionality in an Preview Release back in September 2019, we’re now happy to announce the General Availability of our Citrix monitoring extension. All processes on these hosts are recognized, and Citrix processes are grouped together in order to characterize the combined Citrix overhead on the infrastructure.

Latency 52
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The Netflix Cosmos Platform

The Netflix TechBlog

It supports both high throughput services that consume hundreds of thousands of CPUs at a time, and latency-sensitive workloads where humans are waiting for the results of a computation. The subsystems all communicate with each other asynchronously via Timestone, a high-scale, low-latency priority queuing system.

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Stuff The Internet Says On Scalability For March 1st, 2019

High Scalability

It was made possible by using a low latency of 0.1 seconds, the lower the latency, the more responsive the robot. Euros have to internationalize IN ORDER TO scale, and most die in the process. They'll learn a lot and love you forever. AWSonAir : @McDonalds uses Amazon ECS to scale to support 20,000 orders per second.

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Site reliability done right: 5 SRE best practices that deliver on business objectives

Dynatrace

Uptime Institute’s 2022 Outage Analysis report found that over 60% of system outages resulted in at least $100,000 in total losses, up from 39% in 2019. The growing amount of data processed at the network edge, where failures are more difficult to prevent, magnifies complexity. availability. Service-level indicators (SLIs).

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ScyllaDB Trends – How Users Deploy The Real-Time Big Data Database

Scalegrid

ScyllaDB offers significantly lower latency which allows you to process a high volume of data with minimal delay. percentile latency is up to 11X better than Cassandra on AWS EC2 bare metal. This number is more inline with our recent 2019 Open Source Database Trends Report where 56.9% different database types.

Big Data 187