The Netflix TechBlog

MAY 21, 2019

The device ecosystem is rich with partners ranging from Silicon-on-Chip (SoC) manufacturers, Original Design Manufacturer (ODM) and Original Equipment Manufacturer (OEM) vendors. Solving the above problems could help Netflix and our Partners save time and money during the entire lifecycle of device design, build, test, and certification.

Testing 163

Testing AWS Lambda Network 163

Strategic Tech

JULY 22, 2019

In Domain-Driven Design, a large system is decomposed into bounded contexts , which become natural boundaries in code as microservices and as teams in the organisation. The Bounded Context Design Canvas I designed this canvas based on the typical flow of strategic DDD workshops I run publicly and privately.

Design 76

Design Systems Strategy Processing 76

The Netflix TechBlog

NOVEMBER 29, 2023

A vital aspect of such development is subjective testing with HDR encodes in order to generate training data. Bitrate versus quality comparison HDR-VMAF is designed to be format-agnostic — it measures the perceptual quality of HDR video signal regardless of its container format, for example, Dolby Vision or HDR10.

Open Source 252

Open Source Software Engineering Internet Internet 252

Scalegrid

JANUARY 11, 2024

To combat this issue, certain strategies are recommended such as prioritizing alerts based on severity levels, reducing false positives through advanced detection techniques, automating response protocols for faster action-taking, and providing adequate training and resources for personnel responsible for managing security.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

ACM Sigarch

APRIL 26, 2018

BPU: Brain Processing Unit is the design of the AI chips by Horizon Robotics. With its modular architecture, DLA is scalable, highly configurable, and designed to simplify integration and portability. The IPU design supports both training and inference, and is a memory-centric design. The new GV100 packs 7.4

Hardware 99

Hardware Artificial Intelligence Architecture Google 99

Sutter's Mill

NOVEMBER 11, 2023

This week’s meeting: Meeting #2 of C++26 At the previous meeting in June, the committee adopted the first 40 proposed changes for C++26, including many that had been ready for a couple of meetings and were just waiting for the C++26 train to open to be adopted. For those highlights, see the previous trip report.

C++ 115

C++ Lambda Network Programming 115

Adrian Cockcroft

JANUARY 17, 2022

The need for systems to be resilient is still increasing, and chaos engineering tools and techniques are developing as a key way to validate that resilience is working as designed. For example AWS launched an instance type with 800 Gbits/s of network bandwith in 2021.

Serverless 98

Serverless Hardware AWS Architecture 98

The Morning Paper

SEPTEMBER 14, 2020

As well as outright behaviour and performance once fully trained, a related interesting question is whether or not the AI model improves with training in the same way that humans do on the same task as their skill levels increase. these engines were not trained on human games. AlphaZero).

Systems 85

Systems Games Engineering Open Source 85

Tasktop

OCTOBER 12, 2020

Now, with the revitalized Flow Partner Program , our partners can access the very latest solutions and training to enjoy the same success. . We have listened closely to our treasured partner network to design a simplified program tailored to help you seamlessly incorporate Flow Metrics into your business practice.

Programming 98

Programming DevOps Healthcare Strategy 98

Dynatrace

MARCH 10, 2021

The designation reflects AWS’ recognition that Dynatrace has demonstrated deep experience and proven customer success building AI-powered solutions on AWS. It needs to collect a substantial amount of data at the beginning to build a training dataset that an algorithm can begin to learn from. Dynatrace news.

AWS 144

AWS Cloud Artificial Intelligence Innovation 144

Tech News Gather

JUNE 15, 2023

Through this app idea, one can prioritize the well-being of students with an app designed to support their mental health and foster a sense of mindfulness. Music education and instrument training apps Unleash the musical potential within users through an app that offers comprehensive music lessons and instrument training.

Education 52

Education Virtualization Innovation Transportation 52

Official Blog - World Web Technology

AUGUST 27, 2023

For example, website design is very crucial to impress your website visitors. They don’t have to train them or build an in-house team of developers. Developers use content delivery networks to reduce server load and deliver website content fast. It further reduces the costs.

Development 98

Development Ecommerce Open Source Website 98

All Things Distributed

SEPTEMBER 25, 2017

I'm also excited to announce today that we are launching an AWS Edge Network Location in the United Arab Emirates (UAE) in the first quarter of 2018. flydubai chose to build their online check-in platform on AWS and went from design to production in four months. It is now being used by thousands of passengers a day.

Cloud 152

Cloud Education Energy Government 152

Scalegrid

JANUARY 5, 2024

It was initially designed to mitigate the limitations of file management systems, including slow operations, inadequate security, and substantial data redundancy. Types of DBMS DBMS can be classified into hierarchical, network, relational, and object-oriented types.

Efficiency 147

Efficiency Storage Database Scalability 147

O'Reilly

APRIL 30, 2024

The surest way to ignore such misalignment is by focusing exclusively on technical questions about AI model capabilities, divorced from the socio-economic environment in which these models will operate and be designed for profit. These platforms made markets more efficient and delivered enormous value both to users and to product suppliers.

Social Media 91

Social Media Artificial Intelligence Innovation Logistics 91

VoltDB

MARCH 13, 2024

No system runs itself, and you can end up with far lower reliability than a much simpler system because you can’t afford the test and training environments to competently operate it. The Volt Active Data platform is designed to let you make lots of reliable decisions, very quickly, at scale.

Availability 52

Availability Latency DevOps Systems 52

The Morning Paper

MAY 14, 2019

Finally, we show that Seer can identify application level design bugs, and provide insights on how to better architect microservices to achieve predictable performance. A DNN model is trained to recognise patterns in space and time that lead to QoS violations. Distributed tracing and instrumentation.

Big Data 45

Big Data Cloud Performance Hardware 45

Testsigma

NOVEMBER 11, 2020

Network Disconnections. Network disconnection is a common automation challenge that a QA team faces wherein they find it hard to access databases, VPN, third party services, APIs, specific testing environments, etc. due to unstable network connections. Fixing Code Smell. Here’s a good read on the hidden costs of test automation.

Testing 85

Testing Mobile Network Analytics 85

The Morning Paper

JANUARY 14, 2020

While the interpretable model may not get to quite the same level of performance as the Oracle on the exact task used for training, it turns out that the process of generating the interpretable model results in something which generalises much better to new situations. The authors present this without commentary. A DSL for policies.

Programming 63

Programming Network Games Processing 63

Tasktop

DECEMBER 15, 2020

They spend days and days practicing and training for each dance, watching their reflections in the mirrored studio walls until they get it right. High volumes of Work-In-Progress (WIP) are present in every ART (Agile Release Train), equivalent to more than 1-2 work items per FTE. I’d put my money on the DWTS stars.

Healthcare 59

Healthcare Metrics Software Software 59

The Morning Paper

OCTOBER 27, 2019

In the image space, saliency maps show us where the network is looking, but even they don’t tell us what it is truly looking at. CORELS is a machine learning system designed to find such optimal logical models. Designing for interpretability in specific domains. The key is to consider interpretability in the model design itself.

Healthcare 70

Healthcare Energy Network Design 70

Dynatrace

SEPTEMBER 30, 2021

It requires purchasing, powering, and configuring physical hardware, training and retaining the staff capable of servicing and securing the machines, operating a data center, and so on. This can dramatically decrease network latency and its effect on the end-user experience. Establish a clear set of goals and outcomes.

Cloud 166

Cloud Traffic Best Practices Strategy 166

Tasktop

JUNE 25, 2019

The complex — and often implicit — network of teams, tools and processes that plan, build and deliver are disconnected by the role-specific tools used by teams across the ideate, create, release and operate stages. . After attending training, you will have the knowledge to become a VSM ambassador at your organization or agency.

Speed 40

Speed Software Software DevOps 40

Tim Kadlec

NOVEMBER 2, 2020

Given the constraints the app faced with the network and web view performance at the time, they were a bit limited on what they could do from a technical perspective. Instead, they adjusted the design, switching from spinners to a skeleton screen that incrementally filled in as content arrived back from the server.

Best Practices 145

Best Practices Network Mobile Speed 145

Adrian Cockcroft

JUNE 21, 2022

The early days at Sun Cambridge were special, I absorbed a lot about networking and the technical side of the role from my fellow systems engineer Martin Baines, and we were driving all over the region in cool company cars (I had a Citroen BX 16V) selling a really hot product.

Tuning 52

Tuning Benchmarking Engineering C++ 52

The Morning Paper

JUNE 13, 2019

As we saw with the SOAP paper last time out, even with a fixed model variant and hardware there are a lot of different ways to map a training workload over the available hardware. “ How to design mechanisms and policies to avoid or reduce this latency remains an open question.” Are there privacy concerns in doing so?

Hardware 58

Hardware Latency Serverless Energy 58

The Symphonia

JUNE 19, 2018

This summer also marks the 4-yearly event that is La Copa Mundial (we only get Telemundo in my apartment, not Fox Sports Network) but since the good old US of A are absent from the men’s World Cup this year, football fever is distinctly frigid. ConvergDB is designed to create and manage Serverless data lakes with a DevOps friendly workflow.

Serverless 40

Serverless AWS DevOps Open Source 40

The Morning Paper

AUGUST 25, 2019

Snuba: automating weak supervision to label training data Varma & Ré, VLDB 2019. It’s tackling the same fundamental problem: how to gather enough labeled data to train a model, and how to effectively use it in a weak supervision setting (supervised learning with noisy labels). It took me quite a while to get my head around this!

Logistics 76

Logistics Efficiency Design Network 76

The Netflix TechBlog

JANUARY 30, 2023

What data would you like to have if you were designing an asset suite? Images for the title “Purple Hearts” Creative Insights To create suites that are relevant, attractive, and authentic, we’ve relied on creative strategists and designers with intimate knowledge of the titles to recommend and create the right art for upcoming titles.

Media 256

Media Design Innovation Strategy 256

Dynatrace

JUNE 16, 2022

Runtime application self-protection is a security design pattern for embedding web application protection directly into an application or application runtime environment. RASP capabilities aim to close the gap left by application security testing and network perimeter controls such as web application firewalls (WAFs). What is RASP?

Tuning 224

Tuning Cloud Open Source Network 224

O'Reilly

NOVEMBER 28, 2023

Training models and developing complex applications on top of those models is becoming easier. Many of the new open source models are much smaller and not as resource intensive but still deliver good results (especially when trained for a specific application). report that the difficulty of training a model is a problem.

Open Source 111

Open Source Artificial Intelligence Google Infrastructure 111

The Netflix TechBlog

APRIL 26, 2022

We built Axion primarily to remove any training-serving skew and make offline experimentation faster. We will share how its design has evolved over the years and the lessons learned while building it. To understand Axion’s design, we need to know the various components that interact with it.

Storage 187

Storage Design Scalability Latency 187

The Morning Paper

JUNE 11, 2019

Beyond data and model parallelism for deep neural networks Jia et al., The goal here is to reduce the training times of DNNs by finding efficient parallel execution strategies, and even including its search time, FlexFlow is able to increase training throughput by up to 3.3x SysML’2019. Expanding the search space.

Network 81

Network Strategy Hardware Benchmarking 81

The Morning Paper

SEPTEMBER 22, 2019

The secret sharer: evaluating and testing unintended memorization in neural networks Carlini et al., Take a system trained to make predictions on a language (word or character) model – an example you’re probably familiar with is Google Smart Compose. Can we efficiently extract secrets from pre-trained models?

Network 55

Network Testing Strategy Google 55

Smashing Magazine

AUGUST 19, 2021

Ethics are an important part of human-computer interaction because they keep people at the heart of the design process. We can best prepare our colleagues to avoid these situations through similar training and standards.” — Victor Yocco. As UX practitioners, we know empathy is an important part of the design process.

Code 139

Code Design Education Government 139

The Netflix TechBlog

FEBRUARY 13, 2023

Training Performance Media model training poses multiple system challenges in storage, network, and GPUs. We have developed a large-scale GPU training cluster based on Ray , which supports multi-GPU / multi-node distributed training.

Media 290

Media Storage Infrastructure Systems 290

Scalegrid

JANUARY 12, 2024

This is sometimes referred to as using an “over-cloud” model that involves a centrally managed resource pool that spans all parts of a connected global network with internal connections between regional borders, such as two instances in IAD-ORD for NYC-JS webpage DNS routing. Additionally.

Cloud 130

Cloud Virtualization Storage Efficiency 130