The Netflix TechBlog

MARCH 14, 2023

Much of the ML literature focuses on model training, evaluation, and scoring. User provides a sample image to find other similar images Prior engineering work Approach #1: on-demand batch processing Our first approach to surface these innovations was a tool to trigger these algorithms on-demand and on a per-show basis. Incredible!”

Media 291

Media Innovation Energy Architecture 291

Percona

OCTOBER 18, 2023

Free of vendor lock-in Vendor lock-in refers to the loss of freedom to scale, innovate, or switch to alternatives due to dependencies on a specific database vendor. Does anyone on my team require further training before we start? Performance tuning The first critical move in performance tuning is query optimization.

Open Source 94

Open Source Database Hardware Strategy 94

Tasktop

JANUARY 30, 2020

This measure is tuned to the investment necessary for success in a particular value stream – and it is also the metric needed for refining investments over time. The newsletter, produced with the communications and training departments, called out all the things that would be changing in the upcoming release. Click cover to download.

Healthcare 52

Healthcare Metrics Tuning Software 52

SQL Server According to Bob

FEBRUARY 15, 2018

The conference kicks off next week on Wednesday February 21st with Training Days and lasts through Saturday, February 24th. Friday Sessions: SQL Intelligence excels your tuning and security expertise – Veljko Vasic, Ron Matchoro and Frans Lytzen. Azure Cosmos DB: design patterns and case studies – Andrew Liu.

Engineering 40

Engineering Azure Best Practices Servers 40

O'Reilly

NOVEMBER 28, 2023

Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking. Training models and developing complex applications on top of those models is becoming easier. of users and 3.9%

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

The Netflix TechBlog

JANUARY 10, 2024

We rolled out encoding innovations such as per-title and per-shot optimizations, which provided significant quality-of-experience (QoE) improvement to Netflix members. It served as the foundation for numerous encoding innovations developed by our team. This drove the approach of the “release train”. 264, AV1, etc.).

Processing 229

Processing Media Latency Innovation 229

The Netflix TechBlog

AUGUST 17, 2023

The tool provides an efficient way for creatives (photo editors, artwork designers, etc.) Each algorithm needed a process of evaluation and tuning to get great results in AVA Discovery View. This feedback is easily accessible by our algorithm partners and used in training improved versions of the models.

Media 169

Media Scalability Architecture Strategy 169

All Things Distributed

MARCH 19, 2018

For example, training on more data means more accurate models. Last re:Invent, to make the problem of authoring, training, and hosting ML models easier, faster, and more reliable, we launched Amazon SageMaker. Machine learning models are usually trained tens or hundreds of times. In machine learning, more is usually more.

Scalability 159

Scalability Hardware AWS Tuning 159

The Netflix TechBlog

APRIL 29, 2019

Various software systems are needed to design, build, and operate this CDN infrastructure, and a significant number of them are written in Python. Our Infrastructure Security team leverages Python to help with IAM permission tuning using Repokid. We leverage Python to protect our SSH resources using Bless.

Open Source 279

Open Source Network Infrastructure Big Data 279

The Agile Manager

AUGUST 23, 2007

In the 1970s it spawned tremendous innovation in personal computing technology. From those innovations came products, solutions, and even categories that didn’t previously exist. Bright people were inventing and innovating, but nobody was there to monetise their work. 5 Grand Prix Tune-Ups” F1 Racing Magazine.

Innovation 40

Innovation Technology Technology Latency 40

Edge Perspectives

AUGUST 5, 2019

By learning, I don’t mean training programs or the sharing of existing knowledge. We’re going to have to choose which institutional model to adopt and, if we choose scalable learning, it will require us to pursue a broad program of institutional innovation , rethinking every aspect of our existing institutions. Scalable learning.

Strategy 17

Strategy Scalability Efficiency Programming 17

Abhishek Tiwari

JULY 20, 2019

One thing stand-out to me is being intentional and practical about your engineering organisation design. First and foremost, being intentional about organisation design requires good and honest discussions about all possible option. I also have a strong feeling that long-lived teams are not good for innovation and disruption.

Engineering 61

Engineering Retail Airlines Healthcare 61

High Scalability

NOVEMBER 25, 2019

To help our customers manage ongoing data explosion, we have designed many of the core components over the last few years. I mean that as your scale grows then design patterns and strategies that used to work 2 years ago and allowed you to go from defensive to offensive positioning may buckle under pressure or becomes cost-prohibitive.

Architecture 52

Architecture Cache Azure Storage 52