Amazon Streaming

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Amazon Music Stream millions of songs: Amazon Advertising Find, attract, and engage customers: Amazon Drive Cloud storage from Amazon: 6pm Score deals on fashion brands: AbeBooks Books, art & collectibles: ACX Audiobook Publishing Made Easy: Alexa Actionable Analytics for the Web: Sell on Amazon Start a Selling Account: Amazon Business. Browse & stream thousands of stations on Amazon Music Unlimited. My Likes and More. Amazon Streaming Music Services vs. The Competition Amazon is far from the the only game in town when it comes to music streaming. Several services offer comparable plans and prices; below, we give you a rundown of the offerings. Note that some of these services also have a free tier, but we're focusing on the paid plans that offer comparable.

Easily collect, process, and analyze video and data streams in real time

Amazon Kinesis makes it easy to collect, process, and analyze real-time, streaming data so you can get timely insights and react quickly to new information. Amazon Kinesis offers key capabilities to cost-effectively process streaming data at any scale, along with the flexibility to choose the tools that best suit the requirements of your application. With Amazon Kinesis, you can ingest real-time data such as video, audio, application logs, website clickstreams, and IoT telemetry data for machine learning, analytics, and other applications. Amazon Kinesis enables you to process and analyze data as it arrives and respond instantly instead of having to wait until all your data is collected before the processing can begin.

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Benefits

Real-time

Amazon Kinesis enables you to ingest, buffer, and process streaming data in real-time, so you can derive insights in seconds or minutes instead of hours or days.

Fully managed

Amazon Kinesis is fully managed and runs your streaming applications without requiring you to manage any infrastructure.

Scalable

Amazon Kinesis can handle any amount of streaming data and process data from hundreds of thousands of sources with very low latencies.

Amazon Kinesis capabilities

Kinesis Video Streams

Amazon Kinesis Video Streams makes it easy to securely stream video from connected devices to AWS for analytics, machine learning (ML), and other processing.

Kinesis Data Streams

Amazon Kinesis Data Streams is a scalable and durable real-time data streaming service that can continuously capture gigabytes of data per second from hundreds of thousands of sources.

Kinesis Data Firehose

Amazon Kinesis Data Firehose is the easiest way to capture, transform, and load data streams into AWS data stores for near real-time analytics with existing business intelligence tools.

Kinesis Data Analytics

Amazon Kinesis Data Analytics is the easiest way to process data streams in real time with SQL or Apache Flink without having to learn new programming languages or processing frameworks.

How it works

  • Amazon Kinesis Video Streams
  • Amazon Kinesis Data Streams
  • Amazon Kinesis Data Firehose
  • Amazon Kinesis Data Analytics

Use cases

Build video analytics applications

You can use Amazon Kinesis to securely stream video from camera-equipped devices in homes, offices, factories, and public places to AWS. You can then use these video streams for video playback, security monitoring, face detection, machine learning, and other analytics.

Veritone Inc. (NASDAQ: VERI), a leading artificial intelligence (AI) and cognitive solutions provider, combines a powerful suite of applications with over 120 best-in-class cognitive engines including facial and object recognition, transcription, geolocation, sentiment detection, and translation. With Amazon Kinesis Video Streams, customers can easily stream their content to AWS, where Veritone processes and enriches their content with AI, in near real-time and at scale. Within seconds of capture, Kinesis Video Streams and Veritone make every frame of video or second of audio searchable for objects, faces, brands, keywords and more.

Evolve from batch to real-time analytics

With Amazon Kinesis, you can perform real-time analytics on data that has been traditionally analyzed using batch processing. Common streaming use cases include sharing data between different applications, streaming extract-transform-load, and real-time analytics. For example, you can use Kinesis Data Firehose to continuously load streaming data into your S3 data lake or analytics services.

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Zillow uses Kinesis Data Streams to collect public record data and MLS listings, and then update home value estimates in near real-time so home buyers and sellers can get the most up to date home value estimates. Zillow also sends the same data to its Amazon S3 data lake using Kinesis Data Firehose, so that all the applications can work with the most recent information.

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Build real-time applications

You can use Amazon Kinesis for real-time applications such as application monitoring, fraud detection, and live leader-boards. You can ingest streaming data using Kinesis Data Streams, process it using Kinesis Data Analytics, and emit the results to any data store or application using Kinesis Data Streams with millisecond end-to-end latency. This can help you learn about what your customers, applications, and products are doing right now and react promptly.

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Example: Analysis of streaming social media data

Netflix uses Amazon Kinesis to monitor the communications between all of its applications so it can detect and fix issues quickly, ensuring high service uptime and availability to its customers.

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Analyze IoT device data

You can use Amazon Kinesis to process streaming data from IoT devices such as consumer appliances, embedded sensors, and TV set-top boxes. You can then use the data to send real-time alerts or take other actions programmatically when a sensor exceeds certain operating thresholds. Use our sample IoT analytics code to build your application. No need to start from scratch.

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Example: Sensors in tractor detect need for a spare part and automatically place order

Sonos uses Amazon Kinesis to monitor 1 billion events per week from wireless hi-fi audio devices, and delivers better listening experience to its customers.

Watch re:Invent session »

Blog posts & articles

We have a rich set of blog articles that provide use case and best practices guidance to help you get the most out of Amazon Kinesis. Access our full list of blog articles through the resources below.

Read Amazon Kinesis articles on the AWS News Blog.

Learn about best practices, feature capabilities, and customer use cases on the AWS Big Data Blog.

Read more blog articles about Amazon Kinesis on the AWS Databases Blog.

Get started with Amazon Kinesis

Learn how to use Amazon Kinesis capabilities in this whitepaper.

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Amazon Streaming Video

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Amazon Streaming Tv And Movies

In the on demand streaming case, your video content is stored in Amazon S3. Your viewers can choose to watch it at any desired time, hence the name on-demand. A complete on-demand streaming solution typically makes use of Amazon S3 for storage, AWS Elemental MediaConvert for file-based video processing, and Amazon CloudFront for delivery.

Amazon S3 is an excellent storage facility for your video assets. It is infinitely scalable, has built-in redundancy, and is available to you on a pay-as-you-go basis. You can upload your content to S3 in a number of different ways. You can start by using the AWS Management Console when your volume is low, and then move to a more automated system as your volume increases. It is very easy to use S3 from the console. After you create your AWS account, you simply log in, create an S3 bucket, and then upload your content. If you want to implement an automated system, you can use the AWS Command Line Interface in your own scripts or the Amazon S3 APIs in your own code.

Once uploaded, you may need to convert your video into the size, resolution, or format needed by a particular television or connected device. AWS Elemental MediaConvert will take care of this for you. MediaConvert takes content from S3, transcodes it per your request, and stores the result back in S3. Transcoding processes video files, creating compressed versions of the original content to reduce its size, change its format, or increase playback device compatibility. Again, you can manage this process from the AWS Management Console, the command line, or via the MediaConvert APIs.

With your content safely stored and available in the formats required by your users, the next step is global delivery with Amazon CloudFront. The Amazon Content Delivery Network caches content at the edges for low latency and high throughput video delivery. Its scalability means that you can serve up as much or as little video as you want. You can handle unexpected spikes in demand with ease on a pay-as-you-go basis (see the CloudFront pricing to learn more).

At this point our story line forks, and you have two options. You can deliver the entire video file to the device before playing it, or you can stream it to the device.

The first option is very easy to implement and is supported by just about every mobile device and desktop. All you need to do is to put your content in an S3 bucket and create a CloudFront distribution that points to the bucket. Your user’s video player will use CloudFront URLs (accessible as part of the distribution) to request the video file. The request will be directed to the best edge location, based on the user’s location. The CDN will serve the video from its cache, fetching it from the S3 bucket if it is not already cached. This option has a couple of downsides. It makes inefficient use of your viewer’s bandwidth. If the user doesn’t bother to watch the entire video, content that would never be seen is still downloaded and you are paying for it.

The second option is almost always preferred. A family of video streaming protocols including Apple’s HTTP Live Streaming (HLS), Dynamic Adaptive Streaming over HTTP (DASH), Microsoft’s Smooth Streaming (MSS), and Adobe’s HTTP Dynamic Streaming (HDS) improve the user experience by delivering video as it is being watched, generally fetching content a few seconds ahead of when it will be needed. Playback starts more quickly, fast-forwarding is more efficient, and the overall user experience is smoother. With this option, you only pay for what the viewer watches, you don’t waste user’s bandwidth, and users get to see the desired content more quickly.

Amazon Streaming Tv And Movies

You will need to do a little more work in order to implement the second option. First, you use MediaConvert to convert your video files to HLS format (the most widely supported streaming protocol). This will split the video into short segments and will also create a manifest file. Then, you point the CloudFront distribution at the manifest. Finally, to play the live stream, embed the manifest URL in the players that your users will play your live stream with. For example, to play a live stream for which the manifest file is myStream/playlist.m3u8 and the CloudFront distribution is d111111abcdef8.cloudfront.net, you embed the following URL in players: http://d111111abcdef8.cloudfront.net/myStream/playlist.m3u8

The “Video on Demand on AWS” page provides best practices and guidance to consider when implementing a video on demand workflow on the AWS Cloud, and introduces an AWS solution that automatically provisions the services necessary to build a scalable, distributed architecture that ingests, stores, processes, and delivers video content.