The Netflix TechBlog

JULY 12, 2019

Gatekeeper is the system at Netflix responsible for evaluating the “liveness” of videos and assets on the site. Gatekeeper accomplishes its prescribed task by aggregating data from multiple upstream systems, applying some business logic, then producing an output detailing the status of each video in each country.

Cache 183

Cache Architecture Latency Engineering 183

IO River

NOVEMBER 2, 2023

Now, with viewers all over the world expecting flawless and high-definition streaming, video providers have their work cut out for them. What Comprises Video Streaming - Traffic CharacteristicsWith the emphasis on a high-quality streaming experience, the optimization starts from the very core. Only overflow will await you.

Architecture 52

Architecture Performance Internet Internet 52

IO River

NOVEMBER 2, 2023

Now, with viewers all over the world expecting flawless and high-definition streaming, video providers have their work cut out for them. ‍What Comprises Video Streaming - Traffic CharacteristicsWith the emphasis on a high-quality streaming experience, the optimization starts from the very core. Only overflow will await you.Â

Architecture 52

Architecture Performance Internet Internet 52

The Netflix TechBlog

SEPTEMBER 24, 2021

After content ingestion, inspection and encoding, the packaging step encapsulates encoded video and audio in codec agnostic container formats and provides features such as audio video synchronization, random access and DRM protection. Uploading and downloading data always come with a penalty, namely latency.

Cloud 237

Cloud Media Storage Cache 237

The Netflix TechBlog

MARCH 1, 2021

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. In the diagram below of a typical Cosmos service, clients send requests to a Video encoder service API layer. debian packages).

Serverless 228

Serverless Media Latency Social Media 228

The Netflix TechBlog

SEPTEMBER 8, 2020

As an example, to render the screen shown here, the app sends a query that looks like this: paths: ["videos", 80154610, "detail"] A path starts from a root object , and is followed by a sequence of keys that we want to retrieve the data for. Instead, it is part of a different path : [videos, <id>, similars].

Latency 233

Latency Cache Java Traffic 233

The Netflix TechBlog

SEPTEMBER 2, 2020

Edgar helps Netflix teams troubleshoot distributed systems efficiently with the help of a summarized presentation of request tracing, logs, analysis, and metadata. While this abundance of dashboards and information is by no means unique to Netflix, it certainly holds true within our microservices architecture. What is Edgar?

Latency 296

Latency Transportation Engineering Traffic 296

The Netflix TechBlog

OCTOBER 27, 2020

Data scientists and engineers collect this data from our subscribers and videos, and implement data analytics models to discover customer behaviour with the goal of maximizing user joy. At Netflix, we also heavily embrace a microservice architecture that emphasizes separation of concerns. Moving data with Bulldozer at Netflix.

Latency 243

Latency Storage Big Data Tuning 243

The Netflix TechBlog

APRIL 26, 2022

Figure 1: Netflix ML Architecture Fact: A fact is data about our members or videos. An example of data about members is the video they had watched or added to their My List. An example of video data is video metadata, like the length of a video. Time is a critical component of Axion?—?When

Storage 187

Storage Design Scalability Latency 187

The Netflix TechBlog

JUNE 13, 2023

By collecting and analyzing key performance metrics of the service over time, we can assess the impact of the new changes and determine if they meet the availability, latency, and performance requirements. A/B testing is also a key technique in migrations where the updates to the architecture involve changing device contracts as well.

Traffic 279

Traffic Metrics Systems Strategy 279

The Netflix TechBlog

JUNE 4, 2019

Because microprocessors are so fast, computer architecture design has evolved towards adding various levels of caching between compute units and the main memory, in order to hide the latency of bringing the bits to the brains. This avoids thrashing caches too much for B and evens out the pressure on the L3 caches of the machine.

Cache 251

Cache Latency Airlines Logistics 251

The Netflix TechBlog

MARCH 13, 2020

The teams have been working closely on SVT-AV1 development, discussing architectural decisions, implementing new tools, and improving compression efficiency. The SVT-AV1 encoder supports all AV1 tools which contribute to compression efficiency.

Open Source 154

Open Source Efficiency C++ Speed 154

Brendan Gregg

FEBRUARY 28, 2023

The video is now on [YouTube]: The slides are [online] and as a [PDF]: first prev next last / permalink/zoom In Q&A I was asked about CXL (compute express link) which was fortunate as I had planned to cover it and then forgot, so the question let me talk about it (although Q&A is missing from the video). Ford, et al., “TCP

Performance 110

Performance Latency Cache Virtualization 110

ACM Sigarch

DECEMBER 6, 2018

Each of these categories opens up challenging problems in AI/visual algorithms, high-density computing, bandwidth/latency, distributed systems. To foster research in these categories, we provide an overview of each of these categories to understand the implications on workload analysis and HW/SW architecture research.

Wireless 54

Wireless IoT Analytics Architecture 54

Smashing Magazine

SEPTEMBER 28, 2022

Continue reading below ↓ Meet Smashing Online Workshops on front-end & UX , with practical takeaways, live sessions, video recordings and a friendly Q&A. Common Websocket Architecture. In a common WebSocket architecture, the Front-end application will connect to a WebSocket API, an event bus, or a database.

Cache 126

Cache Performance Servers Social Media 126

Brendan Gregg

FEBRUARY 28, 2023

The video is now on YouTube : The slides are online and as a PDF : first prev next last / permalink/zoom In Q&A I was asked about CXL (compute express link) which was fortunate as I had planned to cover it and then forgot, so the question let me talk about it (although Q&A is missing from the video). Ford, et al., “TCP

Performance 52

Performance Latency Cache Virtualization 52

The Morning Paper

SEPTEMBER 10, 2019

When each of those use cases is powered by a dedicated back-end, investments in better performance, improved scalability and efficiency etc. That’s hard for many reasons, including the differing trade-offs between throughput and latency that need to be made across the use cases. are divided. Reporting and dashboarding use cases (e.g.

Analytics 75

Analytics Latency Cache Google 75

All Things Distributed

AUGUST 20, 2015

Developers need efficient methods to store, traverse, and query these relationships. Social media apps navigate relationships between friends, photos, videos, pages, and followers. Titan has a pluggable storage architecture, using existing NoSQL databases as underlying storage for the graph data. Enter graph databases.

Database 134

Database Logistics Availability Social Media 134

VoltDB

JUNE 1, 2017

Latency Optimizers” – need support for very large federated deployments. 5G expects a latency of 1ms , which considering that the speed of light means the data center can’t be more than 186 miles away, or 93 miles for a round trip, assuming an instant response. Watch the Video. Everything else is just Horns and Valkyries ….

Hardware 56

Hardware Latency Virtualization Cloud 56

Smashing Magazine

JANUARY 11, 2021

Defining The Environment Choosing a framework, baseline performance cost, Webpack, dependencies, CDN, front-end architecture, CSR, SSR, CSR + SSR, static rendering, prerendering, PRPL pattern. Assets Optimizations Brotli, AVIF, WebP, responsive images, AV1, adaptive media loding, video compression, web fonts, Google fonts.

Performance 145

Performance Cache Media Metrics 145

All Things Distributed

MARCH 11, 2016

The expectation was that with each order or two of magnitude, we would need to revisit and revise the architecture to make sure we could address the issues of scale. We needed to build such an architecture that we could introduce new software components without taking the service down. The importance of the network. No gatekeepers.

AWS 144

AWS Hardware Retail Virtualization 144

Smashing Magazine

AUGUST 3, 2023

This could be an image, a block of text, or even an embedded video. This is why the async and deferred attributes are crucial, as they ensure an efficient, seamless web browsing experience. It pinpoints the moment during a page’s loading phase when the primary — or “largest” — content has been fully rendered on the screen.

Performance 74

Performance Cache Traffic Metrics 74

All Things Distributed

DECEMBER 12, 2013

Moreover, a GSI''s performance is designed to meet DynamoDB''s single digit millisecond latency - you can add items to a Users table for a gaming app with tens of millions of users with UserId as the primary key, but retrieve them based on their home city, with no reduction in query performance. Efficient Queries.

Games 130

Games Scalability Database Retail 130

Smashing Magazine

JANUARY 6, 2020

To get a good first impression of how your competitors perform, you can use Chrome UX Report ( CrUX , a ready-made RUM data set, video introduction by Ilya Grigorik and detailed guide by Rick Viscomi) or Treo Sites , a RUM monitoring tool that is powered by Chrome UX Report. You can then mimic the 90th percentile’s experience for testing.

Performance 145

Performance Cache Network Metrics 145

Smashing Magazine

JANUARY 7, 2019

To get a good first impression of how your competitors perform, you can use Chrome UX Report ( CrUX , a ready-made RUM data set, video introduction by Ilya Grigorik), Speed Scorecard (also provides a revenue impact estimator), Real User Experience Test Comparison or SiteSpeed CI (based on synthetic testing).

Performance 104

Performance Cache Network Metrics 104

Percona

APRIL 17, 2023

The swap issue is explained in the excellent article by Jeremy Cole at the Swap Insanity and NUMA Architecture. The CFQ works well for many general use cases but lacks latency guarantees. The deadline excels at latency-sensitive use cases ( like databases ), and noop is closer to no schedule at all.

Best Practices 52

Best Practices Design Tuning Database 52