The Netflix TechBlog

JUNE 20, 2023

To address the first challenge, we use pre trained sentence-level embeddings, e.g. from an embedding model optimized for paraphrase identification , to represent text in both sources. However, it presupposes the availability of high-quality screenplays.

Benchmarking 264

Benchmarking C++ Availability Programming 264

Dynatrace

JANUARY 31, 2024

Augmenting LLM input in this way reduces apparent knowledge gaps in the training data and limits AI hallucinations. The LLM then synthesizes the retrieved data with the augmented prompt and its internal training data to create a response that can be sent back to the user. million AI server units annually by 2027, consuming 75.4+

Cache 215

Cache Azure Infrastructure Monitoring 215

Smashing Magazine

JULY 14, 2021

Frustrating Design Patterns: Broken Filters. Frustrating Design Patterns: Broken Filters. Part Of: Design Patterns. Designing For The Comfortable Range. We do so by breaking our intent down into a set of available features. A well-designed filter in a well-designed trip planner UI. Vitaly Friedman.

Design 143

Design Retail Ecommerce Mobile 143

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 197

Storage Design Scalability Latency 197

The Netflix TechBlog

MARCH 14, 2023

Much of the ML literature focuses on model training, evaluation, and scoring. We must quickly surface the most stand-out highlights from the titles available on our service in the form of images and videos in the member experience. Dawn Chenette , Design Lead This approach had several benefits for product engineering.

Media 301

Media Innovation Energy Architecture 301

Dynatrace

JUNE 4, 2024

Fast feedback cycles on model improvements While the Site Reliability Guardian was originally designed to validate new software releases, Dynatrace has internally extended its application area to include validation of models for Davis AI. A series of models are continuously trained on Dynatrace tenants to effectively set objectives.

Metrics 244

Metrics Engineering Code Tuning 244

DZone

FEBRUARY 27, 2021

As a Software Engineer, the mind is trained to seek optimizations in every aspect of development and ooze out every bit of available CPU Resource to deliver a performing application. This begins not only in designing the algorithm or coming out with efficient and robust architecture but right onto the choice of programming language.

Java 214

Java C++ Benchmarking Programming 214

Percona

JUNE 22, 2023

To make data count and to ensure cloud computing is unabated, companies and organizations must have highly available databases. This guide provides an overview of what high availability means, the components involved, how to measure high availability, and how to achieve it. How does high availability work?

Availability 114

Availability Database Open Source Hardware 114

Dynatrace

SEPTEMBER 30, 2021

By carving the right AWS certification path, developers can even use their certification and training to advance their careers long term. What is the value of AWS training and certification? You and your peers – if you team up – can benefit on multiple levels from AWS training and certification. Core AWS certifications.

AWS 222

AWS Best Practices Cloud Analytics 222

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. Choose the most promising subset of tests out of thousands of test cases available when running continuous integration against a device.

Testing 164

Testing AWS Lambda Network 164

The Netflix TechBlog

OCTOBER 23, 2019

Feature Overview Reproducibility Polynote promotes notebook reproducibility by design. for example, researchers might use Scala and Spark to generate training data (cleaning, subsampling, etc), while actual training might be done with popular Python ML libraries like tensorflow or scikit-learn.

Open Source 235

Open Source Code Website Availability 235

The Netflix TechBlog

DECEMBER 19, 2024

This has been a guiding design principle with Metaflow since its inception. The standard dictionary subscript notation is also available. training metaflows/training.py (binding=EXP_02): -> EXP_02 instance of training.py 50/train/251640854] Task is starting. [50/train/251640854] cluster=sandbox, workflow.id=demo.branch_demox.EXP_01.training

Best Practices 145

Best Practices Cache Metrics Code 145

Smashing Magazine

MARCH 2, 2020

Inspired Design Decisions: Neville Brody Design Cannot Remain Neutral. Inspired Design Decisions: Neville Brody Design Cannot Remain Neutral. Local bands designed their own publicity and the mostly two-colour artwork was edgy and unpolished. Previously On “Inspired Design Decisions”. Andrew Clarke.

Design 105

Design Media Testing Entertainment 105

High Scalability

DECEMBER 16, 2022

Another key benefit of cloud computing is its reliability and availability. Additionally, because cloud computing services are provided by large, established companies, they are typically highly reliable and available, with robust security and privacy measures in place to protect user data. Which cloud provider would you recommend?

Cloud 201

Cloud Serverless Internet Internet 201

Dynatrace

DECEMBER 8, 2022

Therefore, many lack training and familiarity with newer tools designed for cloud-based technologies. Eliminate blind spots and gain valuable insights into the performance and availability of infrastructure and applications with end-to-end observability. Dynatrace offers a frictionless free trial process to help you get started.

Education 214

Education Government Innovation Cloud 214

Dynatrace

JUNE 15, 2021

The subject line said: “Success Story: Major Issue in single AWS Frankfurt Availability Zone!” The problem started at 1:24PM PDT, with the services starting to become available again about 3 hours later. Fact #4: Multi-node, multi-availability zone deployment architecture. Ready to learn more? Rack-aware Cassandra deployments.

AWS 202

AWS Traffic Architecture Azure 202

The Netflix TechBlog

DECEMBER 11, 2020

We partnered with Netflix’s Developer Experience (DevEx) team to build out documentation, training materials, and tutorials for developers. Our goal was to design a GraphQL schema that was reflective of the domain itself, not the database model. Embracing a collaborative schema design approach was essential to achieving this goal.

Architecture 257

Architecture Best Practices Engineering Open Source 257

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 132

Scalability Hardware AWS Tuning 132

The Netflix TechBlog

FEBRUARY 14, 2020

The artwork generated by this pipeline is used to augment the artwork typically sourced from design agencies. Through testing we have learned that with proper checks and human curation in place, assisted artwork candidates can perform on par with agency designed artwork. We call this suite of assisted artwork “The Essential Suite”.

Design 193

Design Open Source C++ Availability 193

Alex Podelko

SEPTEMBER 8, 2020

I must confess I was feeling so high and mighty about using LoadRunner, the “best” tool in the market, that it took this 3 day training to have me realize that viable alternatives existed. After this I spent almost 4 years working at Neotys, demos, proofs of concept, training people, the usual turf of a pre-sales engineer.

Open Source 223

Open Source Performance Testing Testing Performance 223

The Netflix TechBlog

OCTOBER 16, 2019

Another example of a dataset that needs to be disseminated is the result of a machine-learning model: the results of these models may be used by several teams, but the ML teams behind the model aren’t necessarily interested in maintaining high-availability services in the critical path. for example to train machine-learned models.

Cache 193

Cache Architecture Metrics Java 193

Dynatrace

OCTOBER 14, 2021

Traditional AIOps: Traditional AIOps approaches are designed to reduce alerts and utilize machine-learning models to deliver correlation-based dashboards. They require extensive training, and real-user must spend valuable time filtering any false positives. training data) that the algorithm can then learn from.

Artificial Intelligence 224

Artificial Intelligence DevOps Innovation Metrics 224

Dynatrace

DECEMBER 2, 2021

These can include business metrics, such as conversion rates, uptime, and availability; service metrics, such as application performance; or technical metrics, such as dependencies to third-party services, underlying CPU, and the cost of running a service. availability of a website over a year, your error budget is.05%. How SLOs work.

Metrics 204

Metrics Best Practices DevOps Infrastructure 204

The Netflix TechBlog

DECEMBER 3, 2019

On the other hand, very few data scientists feel strongly about the nature of the data warehouse, the compute platform that trains and scores their models, or the workflow scheduler. By design, Metaflow is a deceptively simple Python library: Data scientists can structure their workflow as a Directed Acyclic Graph of steps, as depicted above.

Open Source 135

Open Source AWS Infrastructure Energy 135

Smashing Magazine

NOVEMBER 5, 2021

The Value Of Concept Testing As Part Of Product Design. The Value Of Concept Testing As Part Of Product Design. UX design teams are passionate about our approach to solving problems and providing users with experiences that lead to their desired outcomes. UX teams should consider it a mandatory step in designing a product.

Design 101

Design Testing Education Processing 101

Dynatrace

JULY 6, 2022

More than half of all respondents cited two key SRE adoption barriers: the perceived difficulty of training existing IT professionals in SRE best practices, and the cost and difficulty of finding skilled professionals. Design, implement, and tune effective SLOs. Make SRE accessible. Apply AIOps for analysis and automation.

Best Practices 200

Best Practices Open Source Tuning Infrastructure 200

O'Reilly

DECEMBER 10, 2024

Like OpenAIs GPT-4 o1, 1 its training has emphasized reasoning rather than just reproducing language. That seemed like something worth testing outor at least playing around withso when I heard that it very quickly became available in Ollama and wasnt too large to run on a moderately well-equipped laptop, I downloaded QwQ and tried it out.

C++ 76

C++ Design Google Games 76

O'Reilly

JUNE 18, 2024

Last month, TheNew York Times claimed that tech giants OpenAI and Google have waded into a copyright gray area by transcribing the vast volume of YouTube videos and using that text as additional training data for their AI models despite terms of service that prohibit such efforts and copyright law that the Times argues places them in dispute.

Social Media 141

Social Media Media Open Source Traffic 141

The Netflix TechBlog

NOVEMBER 29, 2023

HDR was launched at Netflix in 2016 and the number of titles available in HDR has been growing ever since. A vital aspect of such development is subjective testing with HDR encodes in order to generate training data. As noted in an earlier blog post , we began developing an HDR variant of VMAF; let’s call it HDR-VMAF.

Open Source 262

Open Source Software Engineering Internet Internet 262

O'Reilly

MAY 25, 2021

GPT-3 is essentially an auto-complete bot whose underlying Machine Learning (ML) model has been trained on vast quantities of text available on the Internet. Indeed, Google recently announced LaMDA , a model at GPT-3 scale that is designed to participate in conversations. And the final paragraph of section 3.9.4

Social Media 140

Social Media Media Internet Internet 140

Dynatrace

NOVEMBER 15, 2021

Organizations are constantly being measured against the best available digital experiences — coming from Google, Amazon, Facebook, and other industry leaders. Some of the factors that affect user experience include: Availability : Is the touchpoint available when the user wants to use it? What ruins a digital experience?

Mobile 229

Mobile Social Media Monitoring Metrics 229

O'Reilly

JUNE 7, 2022

We don’t know how much power it took to train Gato, but GPT-3 required about 1.3 And granted, a lot can be done to optimize training (and DeepMind has done a lot of work on models that require less energy). A foundation model like GPT-3 trained to understand and speak human language can be trained more deeply to write computer code.

Artificial Intelligence 145

Artificial Intelligence Games Energy Open Source 145

The Netflix TechBlog

OCTOBER 18, 2022

These include ETL pipelines, ML model training workflows, batch jobs, etc. Meson was based on a single leader architecture with high availability. Similarly, ML model training workflows usually consist of tens of thousands of training jobs within a single workflow. With the high growth of workflows in the past few years?

Java 214

Java Scalability Traffic Architecture 214

CSS Wizardry

SEPTEMBER 28, 2023

There’s some subtle complexity designed to prevent people gaming the system, which is exactly what we’re trying to do. View full size) And from a cold cache, over train wifi as I was writing this post, I got a 2.1s And it doesn’t necessarily spell bad news for our LQIP either. I managed to get my LQIP–LCP down to just 1.1s

Games 323

Games Ecommerce Systems Cache 323

The Netflix TechBlog

JULY 22, 2024

What is Maestro Maestro is a general-purpose, horizontally scalable workflow orchestrator designed to manage large-scale workflows such as data pipelines and machine learning model training pipelines. The transition was seamless, and Maestro has met our design goals by handling our ever-growing workloads.

Strategy 260

Strategy Scalability Code Engineering 260

Smashing Magazine

OCTOBER 7, 2021

The graphicsurf.com team wanted to contribute to the ongoing fight against COVID-19 and has designed a set of vector icons dedicated to the Coronavirus, or specifically, COVID-19. Anthony Tyschenko and Dennis Machuca took part in the design of the icons. A Little About The Design Progress. Jump to the free icon pack.

Design 130

Design Website Scalability Availability 130

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 Processing Strategy 76