The Netflix TechBlog

AUGUST 10, 2020

by Mariana Afonso , Anush Moorthy , Liwei Guo , Lishan Zhu , Anne Aaron Netflix has been one of the pioneers of streaming video-on-demand content?—?we we announced our intention to stream video over 13 years ago, in January 2007?—?and how long it takes for the video to start playing), rebuffer rates, etc.,

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Innovation Traffic Network Efficiency 243

DZone

JULY 2, 2020

In this short video, Rudy de Busscher shows how to connect MicroProfile Metrics with Prometheus and Grafana to produce useful graphics and to help investigate your microservice architecture. The goal of MicroProfile Metrics is to expose monitoring data from the implementation in a unified way.

Metrics 264

Metrics Java Architecture Monitoring 264

The Netflix TechBlog

NOVEMBER 2, 2021

Moorthy and Zhi Li Introduction Measuring video quality at scale is an essential component of the Netflix streaming pipeline. Perceptual quality measurements are used to drive video encoding optimizations , perform video codec comparisons , carry out A/B testing and optimize streaming QoE decisions to mention a few.

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Media Innovation Metrics Latency 180

DZone

OCTOBER 19, 2023

In this Java 21 tutorial, we dive into virtual threads, a game-changing feature for developers. Virtual threads are a lightweight and efficient alternative to traditional platform threads, designed to simplify concurrent programming and enhance the performance of Java applications.

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Virtualization Java Performance Games 273

The Netflix TechBlog

DECEMBER 7, 2020

by Zhi Li, Kyle Swanson, Christos Bampis, Lukáš Krasula and Anne Aaron Over the past few years, we have been striving to make VMAF a more usable tool not just for Netflix, but for the video community at large. VMAF is a video quality metric that Netflix jointly developed with a number of university collaborators and open-sourced on Github.

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Metrics Open Source Tuning Speed 160

DZone

MAY 15, 2023

Scalability and low latency are crucial for any application that relies on real-time data. One way to achieve this is by storing data closer to the users. In this post, we'll discuss how you can use YugabyteDB and its read replica nodes to improve the read latency for users across the globe.

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DZone

MAY 15, 2023

I also did a video covering these ideas. If not the recording should appear right here: Either way, this isn't the first time I wrote about or talked about logging and the common pitfalls we see when logging in production or debugging. I covered this extensively in the old blog.

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Best Practices 130

The Netflix TechBlog

AUGUST 28, 2020

As the number of 4K titles in our catalog continues to grow and more devices support the premium features, we expect these video streams to have an increasing impact on our members and the network. We also show the corresponding full frame which helps to get a sense of how the cutout fits in the corresponding video frame.

Network 338

Network Storage Innovation Mobile 338

Adrian Cockcroft

MAY 6, 2023

This is only one of many microservices that make up the Prime Video application. A real-time user experience analytics engine for live video, that looked at all users rather than a subsample. His first edition in 2015 was foundational, and he updated it in 2021 with a second edition. Finally, what were they building?

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Serverless Lambda Best Practices Traffic 145

DZone

AUGUST 7, 2024

Salesforce Batch Apex is a powerful tool for handling large data volumes and complex data processing tasks asynchronously.

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Testing Processing 162

The Netflix TechBlog

JUNE 14, 2023

We could also swap out the implementation of a field from GraphQL Shim to Video API with federation directives. The next phase in the migration was to reimplement our existing Falcor API in a GraphQL-first server (Video API Service). To launch Phase 2 safely, we used Replay Testing and Sticky Canaries. How does it work?

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The Netflix TechBlog

DECEMBER 14, 2020

i.e. video would play for a very short time, then pause, then start again, then pause. They supplied a video and it looked terrible. I walked upstairs and found the engineer who wrote the audio and video pipeline in Ninja, and he gave me a guided tour of the code. In Ninja, this job is performed by an Android Thread.

Engineering 358

Engineering Code Open Source Hardware 358

The Netflix TechBlog

FEBRUARY 13, 2023

In addition, we provide a unified library that enables ML practitioners to seamlessly access video, audio, image, and various text-based assets. Background Match Cutting is a video editing technique. Step 1 We download a video file and produce shot boundary metadata.

Media 299

Media Storage Infrastructure Systems 299

The Netflix TechBlog

MAY 1, 2019

Most conversations about streaming quality focus on video. We’re really proud of the improvements we’ve brought to the video experience, but the focus on those makes it easy to overlook the importance of sound , and sound is every bit as important to entertainment as video. is the story nearly as thrilling and emotional?

Engineering 274

Engineering Network Media Entertainment 274

DZone

MAY 8, 2023

In this series of simulating and troubleshooting performance problems in Scala, let’s discuss how to make threads go into a blocked state. A thread will enter into a blocked state when it cannot acquire a lock on an object because another thread already holds the lock on the same object and doesn’t release it.

Programming 162

Programming Performance 162

High Scalability

DECEMBER 13, 2021

Design a video streaming platform similar to Netflix where content creators can upload their video content and viewers are able to play video on different devices. We should also be able to store user statistics of the videos such as number of views, video watched duration, and so forth. Problem Statement.

Design 253

Design Engineering Development 253

The Netflix TechBlog

JUNE 5, 2023

Problem Netflix’s content catalog is composed of video captured and encoded in one of various frame rates ranging from 23.97 24→60, 25→60, etc…), which manifests as choppy video playback as illustrated below: With Judder Without Judder It is important to note that the severity of the judder depends on the replication pattern.

Entertainment 312

Entertainment Engineering Technology Technology 312

The Netflix TechBlog

JUNE 20, 2023

Understanding these elements and how they relate to each other is crucial for tasks such as video summarization and highlights detection, content-based video retrieval, dubbing quality assessment, and video editing. As a result of DTW, the scene headers have timestamps that can indicate possible scene boundaries in the video.

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Benchmarking C++ Availability Programming 264

The Netflix TechBlog

JANUARY 25, 2023

An example for storing both time and space based data would be an ML algorithm that can identify characters in a frame and wants to store the following for a video In a particular frame (time) In some area in image (space) A character name (annotation data) Pic 1 : Editors requesting changes by drawing shapes like the blue circle shown above.

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Scalability Latency Media Architecture 293

The Netflix TechBlog

OCTOBER 14, 2021

by Joel Sole, Mariana Afonso, Lukas Krasula, Zhi Li, and Pulkit Tandon Introducing the banding artifacts detector developed by Netflix aiming at further improving the delivered video quality Banding artifacts can be pretty annoying. Just a subtle change in the video signal can cause banding artifacts. Banding artifact?

Open Source 206

Open Source Metrics Government Processing 206

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. Packaging has always been an important step in media processing.

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The Netflix TechBlog

NOVEMBER 11, 2022

Each title is promoted with a custom set of artworks and video assets in support of helping each title find their audience of fans. Here are just a few examples: We maintain a growing suite of video understanding models that categorize characters, storylines, emotions, and cinematography.

Media 248

Media Virtualization Efficiency Innovation 248

Dynatrace

OCTOBER 21, 2020

In this video series, Nancy Gohring, Senior Analyst at 451 Research , answers your questions about observability and application monitoring. Nancy Gohring, Senior Analyst at 451 Research, discusses the four main action-items in the video below. Dynatrace news. Observability has become a hot topic these days in the world of monitoring.

Strategy 246

Strategy Monitoring Cloud Infrastructure 246

The Netflix TechBlog

MARCH 14, 2023

An example of using Machine Learning to find shots of Eleven in Stranger Things and surfacing the results in studio application for the consumption of Netflix video editors. 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.

Media 301

Media Innovation Energy Architecture 301

The Netflix TechBlog

DECEMBER 14, 2023

Media Data for ML Studio Creative Production In the last 2 decades, Netflix has revolutionized the way video content is consumed, however, there is significant work to be done in revolutionizing how movies and tv shows are made. In this video, Sr.

Data Engineering 266

Data Engineering Engineering Software Engineering Best Practices 266

The Netflix TechBlog

NOVEMBER 8, 2023

A sizzle reel is a montage of video clips from different titles strung together into a seamless A/V asset that gets members excited about upcoming launches (for example, our Emmys nominations or holiday collections). An example of a title’s video clips layout.

Processing 206

Processing Media Games Efficiency 206

DZone

MARCH 16, 2023

In this latest article of the series about simulating and troubleshooting performance problems in Kotlin, let’s discuss how to make threads go into a BLOCKED state. A thread will enter into a BLOCKED state if it can’t acquire a lock on an object because another thread already holds the lock on the same object and doesn’t release it.

Programming 130

Programming Performance 130

The Netflix TechBlog

SEPTEMBER 2, 2020

In Edgar’s early days, as we strove to build valuable abstractions on top of trace data, the Edgar team first targeted streaming video use cases. We built a curated experience for streaming video, grouping requests into playback sessions, marked by starting and stopping playback for a given asset.

Latency 299

Latency Transportation Engineering Traffic 299

The Netflix TechBlog

NOVEMBER 9, 2021

by Liwei Guo , Ashwin Kumar Gopi Valliammal , Raymond Tam , Chris Pham , Agata Opalach , Weibo Ni AV1 is the first high-efficiency video codec format with a royalty-free license from Alliance of Open Media (AOMedia), made possible by wide-ranging industry commitment of expertise and resources. Video encoding is essentially a search problem?—?the

Media 246

Media Open Source Software Engineering Efficiency 246

DZone

MAY 7, 2023

Note that ScyllaDB University offers a number of videos with additional background that are helpful for this lesson. You’ll be able to create stocks with prices and dates and get a list of stock items. And you’ll learn how ScyllaDB can be used to store time series data. For example:

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Storage Servers Testing 285

DZone

JUNE 26, 2023

The Amazon Prime Video team recently published a blog post that made waves among the cloud and developer communities. Just because the Prime Video team realized that a monolith architecture worked best in this use case does not mean that it should be the go-to architecture for monitoring tools.

Cloud 213

Cloud Serverless Architecture Scalability 213

DZone

FEBRUARY 13, 2022

This post and video were co-created by David La Motta (Kong), Ross McDonald (Kong), and Alex Dworjan (Red Hat). Murphy’s Law. Anything that can go wrong will go wrong.”.

Performance 246

Performance 246

The Netflix TechBlog

MARCH 1, 2021

When Reloaded was designed, we were a small team of developers operating a constrained compute cluster, and focused on one use case: the video/audio processing pipeline. In the diagram below of a typical Cosmos service, clients send requests to a Video encoder service API layer. debian packages).

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Serverless Media Latency Social Media 236

Dynatrace

JUNE 6, 2022

In this video, Daniel Kaar, global director of application security sales at Dynatrace, discusses how a modern observability platform helps address the security gap posed by application security threats such as Log4Shell. Consider the 2021 security vulnerability Log4Shell, which showcased pervasive application vulnerability.

Cloud 240

Cloud Code Software Software 240

The Netflix TechBlog

MARCH 7, 2023

in a video file. As described in the above picture During the first run of the algorithm it identified 500 objects in a particular Video file. Now when we re-ran the algorithm on the same video file it created 600 annotations of schema type Objects and stored them in our service. The Algorithm team improved their algorithm.

Media 275

Media Latency Architecture Database 275

Dynatrace

MAY 5, 2021

To introduce the video part of this blog, here’s a (short) story about silos; does this one sound familiar? And now, the video…. In this short video below– Connecting IT metrics to business KPIs –I offer some practical approaches to BizOps collaboration. Summary of findings from Perform 2021.

Analytics 243

Analytics Metrics Engineering Design 243

DZone

NOVEMBER 2, 2020

Let's start with Zoom, an incredible video-conferencing application on which almost today's world relies on was developed using JAVA and C++. Today, everything we dwell upon has to have a programming language behind it, easing away our troubles. Two great examples to support the same statement would be the following.

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