This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
Handling multimodal data spanning text, images, videos, and sensor inputs requires resilient architecture to manage the diversity of formats and scale. Multimodal data processing is the evolving need of the latest data platforms powering applications like recommendation systems, autonomous vehicles, and medical diagnostics.
Bampis , Li-Heng Chen and Zhi Li When you are binge-watching the latest season of Stranger Things or Ozark, we strive to deliver the best possible video quality to your eyes. To do so, we continuously push the boundaries of streaming video quality and leverage the best video technologies.
We have built an internal system that allows someone to perform in-video search across the entire Netflix video catalog, and we’d like to share our experience in building this system. Building in-video search To build such a visual search engine, we needed a machine learning system that can understand visual elements.
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 and thus fall back to less efficient encode families. 264/AVC Main profile family.
We enabled HDR10+ on Netflix using the AV1 video codec that was standardized by the Alliance for Open Media (AOM) in 2018. AV1 is one of the most efficient codecs available today. We recognize that it is hard to convey visual improvements in HDR video using still photographs converted to SDR.
The Netflix video processing pipeline went live with the launch of our streaming service in 2007. To that end, the Video and Image Encoding team in Encoding Technologies (ET) has spent the last few years rebuilding the video processing pipeline on our next-generation microservice-based computing platform Cosmos.
by Aditya Mavlankar , Zhi Li , Lukáš Krasula and Christos Bampis High dynamic range ( HDR ) video brings a wider range of luminance and a wider gamut of colors, paving the way for a stunning viewing experience. This is achieved by more efficiently spacing the ladder points, especially in the high-bitrate region.
Using Dynatrace, BPX automated outage handling and achieved greater operational efficiency, saving more than 300 developer hours and reducing user-reported incidents by 90%, which resulted in time savings, error reduction, and increased scalability to adjust workloads in response to system demands. Watch video Want to go deeper?
Maintaining reliability and scalability requires a good grasp of resource management; predicting future demands helps prevent resource shortages, avoid over-provisioning, and maintain cost efficiency. This ensures optimal resource utilization and cost efficiency.
Monitor and optimize business processes with real-time visibility into process KPIs and detailed analytics for each step to improve customer satisfaction, increase operational efficiency, and reduce cost. Simplified and enhanced analytics efficiency. Reduced storage and query overhead for business use cases.
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.
Virtual threads are a lightweight and efficient alternative to traditional platform threads, designed to simplify concurrent programming and enhance the performance of Java applications. In this Java 21 tutorial, we dive into virtual threads, a game-changing feature for developers.
Through optimization methods, companies can present value propositions that engaged users will be able to navigate with minimal hiccups Lazy Loading: Efficient Content Delivery Lazy loading is a front-end optimization concept that loads front-end sources such as images, videos, iframes, and others on a website when the page is loaded.
This allows teams to sidestep much of the cost and time associated with managing hardware, platforms, and operating systems on-premises, while also gaining the flexibility to scale rapidly and efficiently. REST APIs, authentication, databases, email, and video processing all have a home on serverless platforms.
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.
These insights have shaped the design of our foundation model, enabling a transition from maintaining numerous small, specialized models to building a scalable, efficient system. At inference time, when multi-step decoding is needed, we can deploy KV caching to efficiently reuse past computations and maintain lowlatency.
An example of this is shown in the video above, where we incorporated network-related metrics into the Kubernetes cluster dashboard. This efficient method allows you to easily browse and identify the appropriate metrics; adding them to your notebooks and dashboards requires just a single click.
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. Mbps, is for a 4K animation title episode which can be very efficiently encoded. shot-optimized encoding and 4K VMAF model ?
These UA campaigns typically feature static creatives, launch trailers, and game review videos on platforms like Google, Meta, and TikTok. Leveraging technologies like Assistive Speech Recognition (ASR), we seek to make the transcription part of the process more efficient for our linguists.
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?
We have been leveraging machine learning (ML) models to personalize artwork and to help our creatives create promotional content efficiently. In addition, we provide a unified library that enables ML practitioners to seamlessly access video, audio, image, and various text-based assets.
which offers a range of updates: HTTP/2 support: Fluentbit now supports HTTP/2, enabling efficient data transmission with Gzip compression for OpenTelemetry data, enhancing pipeline performance. If you’d like to learn more about the updates, don’t miss Henrik’s video: Fluent Bit 3.0 What’s new in Fluent Bit 3.0
Each title is promoted with a custom set of artworks and video assets in support of helping each title find their audience of fans. Our goal is to empower creators with innovative tools that support them in effectively and efficiently create the best media possible.
by Liwei Guo , Ashwin Kumar Gopi Valliammal , Raymond Tam , Chris Pham , Agata Opalach , Weibo Ni AV1 is the first high-efficiencyvideo codec format with a royalty-free license from Alliance of Open Media (AOMedia), made possible by wide-ranging industry commitment of expertise and resources.
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.
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?
Data Processing Patterns Lee Woodridge and Pallavi Phadnis, Data Engineers at Netflix, talk about how you can apply different processing strategies for your batch pipelines by implementing generic abstractions to help scale, be more efficient, handle late-arriving data, and be more fault tolerant. In this video, Sr.
Edgar helps Netflix teams troubleshoot distributed systems efficiently with the help of a summarized presentation of request tracing, logs, analysis, and metadata. By providing our tool to multiple sets of users, we are able to leverage our cost more efficiently. by Elizabeth Carretto Everyone loves Unsolved Mysteries. What is Edgar?
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. Enter the creation of Dynamic Sizzles.
Scale with confidence: Leverage AI for instant insights and preventive operations Using Dynatrace, Operations, SRE, and DevOps teams can scale efficiently while maintaining software quality and ensuring security and reliability. Easily set up automated remediation with the new Simple Workflows.
This SLO highlights the importance of a smooth and efficient checkout experience. for the workout video playback feature. The ApDex SLO ensures that users have a positive experience when watching workout videos within the fitness app. Fitness app : The fitness app should maintain a success rate of 98% for workout video playback.
It's easy for modern, distributed, high-scale applications to hide database performance and efficiency problems. Optimizing performance of such complex systems at scale requires some skill, but more importantly it requires a sound strategy and good observability, because you can't optimize what you can't measure.
What does this example have to do with software development and video encoding? Intel and Netflix announced their collaboration on a software video encoder implementation called SVT-AV1 on April 8, 2019. The first successful digital video standard was MPEG-2, which truly enabled digital transmission of video.
The first goal is to demonstrate how generative AI can bring key business value and efficiency for organizations. While technologies have enabled new productivity and efficiencies, customer expectations have grown exponentially, cyberthreat risks continue to mount, and the pace of business has sped up.
AV1 is a high performance, royalty-free video codec that provides 20% improved compression efficiency over our VP9† encodes. Our support for AV1 represents Netflix’s continued investment in delivering the most efficient and highest quality video streams. AV1-libaom compression efficiency as measured against VP9-libvpx.
AV1 is a high performance, royalty-free video codec that provides 20% improved compression efficiency over our VP9† encodes. Our support for AV1 represents Netflix’s continued investment in delivering the most efficient and highest quality video streams. AV1-libaom compression efficiency as measured against VP9-libvpx.
Business processes are important because they improve the efficiency, consistency, and quality of the business outcome. Business process monitoring helps organizations: Increase efficiency by identifying and addressing bottlenecks or inefficiencies that may slow down a business process. Reduce costs.
They are continuously innovating compression algorithms to efficiently send high quality audio and video files to our customers over the internet. I focus on improving experimentation methodology to test how well the newest files are working: do they need less bits to stream while providing a higher video quality? benefit more?
Watch the latest video from Inside Dynatrace Apps, and see a live demo of the Dynatrace Apps VS Code extension. Now it’s your turn Are you interested in learning more?
Enhances business insight and efficiency with real-time data Organizations can focus on what is important with deep insights on user sessions, top devices, OS versions, and behavioral analytics for iOS, Android, and hybrid apps. Check out the three-part mobile monitoring video series to learn more about Dynatrace mobile app monitoring.
As you follow along in the video, you’ll notice the ability to determine the day of the week for each transaction and visualize the data in a user-friendly bar chart. This alert serves as a valuable tool in maintaining operational efficiency, ensuring business continuity, and delivering optimal customer experiences.
More than half of our critical streaming video services are now running on JDK 21 with Generational ZGC, so it’s a good time to talk about our experience and the benefits we’ve seen. We have several frameworks that periodically refresh large amounts of on-heap data to avoid external service calls for efficiency.
DevOps platform engineers are responsible for cloud platform availability and performance, as well as the efficiency of virtual bandwidth, routers, switches, virtual private networks, firewalls, and network management. DevOps engineer tools can help ease the pressure as environment complexity grows.
This allows ITOps to measure each user journey’s effectiveness and efficiency. Enhance visibility with video-like recordings Session replays (also called session recordings) show you exactly what the user saw when interacting with your application.
We organize all of the trending information in your field so you don't have to. Join 5,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content