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Supporting Diverse ML Systems at Netflix

The Netflix TechBlog

In addition to Spark, we want to support last-mile data processing in Python, addressing use cases such as feature transformations, batch inference, and training. Compute: Titus Whereas open-source users of Metaflow rely on AWS Batch or Kubernetes as the compute backend , we rely on our centralized compute-platform, Titus.

Systems 226
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Stuff The Internet Says On Scalability For June 29th, 2018

High Scalability

million : spam or automated accounts identified by Twitter per week; 1 million : facial image training set; 1/3 : industrial robots installed in China; 24% : never backup; 7 billion : BuzzFeed monthly page views; Quotable Quotes: @jason : would love to do a [link] for Immigrants -- but we might need to do it in Canada or Mexico, so that, umm.

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Evolution of ML Fact Store

The Netflix TechBlog

We built Axion primarily to remove any training-serving skew and make offline experimentation faster. We make sure there is no training/serving skew by using the same data and the code for online and offline feature generation. Our machine learning models train on several weeks of data.

Storage 187
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What Is a Workload in Cloud Computing

Scalegrid

This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure. Executing cutting-edge intelligent apps’ deployment after successful training becomes much easier thanks primarily to this functionality made possible! Additionally.

Cloud 130
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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. As Big data and ML became more prevalent and impactful, the scalability, reliability, and usability of the orchestrating ecosystem have increasingly become more important for our data scientists and the company.

Java 202
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Lerner?—?using RL agents for test case scheduling

The Netflix TechBlog

There are several problems efficient test scheduling could help us solve: Quickly detect a regression in the integration of the Netflix SDK on a consumer electronic or MVPD (multichannel video programming distributor) device. Likewise it has very low requirements on the initial amount of training data.

Testing 163
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AWS Certification for DevOps Engineers

All Things Distributed

One of our guiding principles at AWS is to listen closely to our customers and the feedback that I am getting about our training and certification program is very positive. This is why I’m excited to announce the availability of a new Professional level certification from AWS that has been high on the list of our customers.

DevOps 94