New for AWS Lambda – Use Any Programming Language and Share Common Components

I remember the excitement when AWS Lambda was announced in 2014! Four years on, customers are using Lambda functions for many different use cases. For example, iRobot is using AWS Lambda to provide compute services for their Roomba robotic vacuum cleaners, Fannie Mae to run Monte Carlo simulations for millions of mortgages, Bustle to serve billions of requests for their digital content.
Today, we are introducing two new features that are going to make serverless development even easier:
Lambda Layers, a way to centrally manage code and data that is shared across multiple functions.
Lambda Runtime API, a simple interface to use any programming language, or a specific language version, for developing your functions.
These two features can be used together: runtimes can be shared as layers so that developers can pick them up and use their favorite programming language when authoring Lambda functions.
Let’s see how they work more in detail.
Lambda Layers
When building serverless applications, it


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New – AWS Transfer for SFTP – Fully Managed SFTP Service for Amazon S3

Many organizations use SFTP (Secure File Transfer Protocol) as part of long-established data processing and partner integration workflows. While it would be easy to dismiss these systems as “legacy,” the reality is that they serve a useful purpose and will continue to do so for quite some time. We want to help our customers to move these workflows to the cloud in a smooth, non-disruptive way.
AWS Transfer for SFTP Today we are launching AWS Transfer for SFTP, a fully-managed, highly-available SFTP service. You simply create a server, set up user accounts, and associate the server with one or more Amazon Simple Storage Service (S3) buckets. You have fine-grained control over user identity, permissions, and keys. You can create users within Transfer for SFTP, or you can make use of an existing identity provider. You can also use IAM policies to control the level of access granted to each user.


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New AWS Resource Access Manager – Cross-Account Resource Sharing

As I have discussed in the past, our customers use multiple AWS accounts for many different reasons. Some of them use accounts to create administrative and billing boundaries; others use them to control the blast radius around any mistakes that they make.
Even though all of this isolation is a net positive for our customers, it turns out that certain types of sharing can be useful and beneficial. For example, many customers want to create resources centrally and share them across accounts in order to reduce management overhead and operational costs.
AWS Resource Access Manager The new AWS Resource Access Manager (RAM) facilitates resource sharing between AWS accounts. It makes it easy to share resources within your AWS Organization and can be used from the Console, CLI, or through a set of APIs. We are launching with support for Route 53 Resolver Rules (announced yesterday in Shaun’s excellent post) and


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New – Train Custom Document Classifiers with Amazon Comprehend

Amazon Comprehend gives you the power to process natural-language text at scale (read my introductory post, Amazon Comprehend – Continuously Trained Natural Language Processing, to learn more). After launching late 2017 with support for English and Spanish, we have added customer-driven features including Asynchronous Batch Operations, Syntax Analysis, support for additional languages (French, German, Italian, and Portuguese), and availability in more regions.
Using automatic machine learning (AutoML), Comprehend lets you create custom Natural Language Processing (NLP) models using data that you already have, without the need to learn the ins and outs of ML. Based on your data set and use case, it automatically selects the right algorithm, tuning parameter, builds, and tests the resulting model.
If you already have a collection of tagged documents—support tickets, call center conversations (via Amazon Transcribe, forum posts, and so forth)— you can use them as a starting point. In this context, tagged simply


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New – Redis 5.0 Compatibility for Amazon ElastiCache

Earlier this year we announced Redis 4.0 compatibility for Amazon ElastiCache. In that post, Randall explained how ElastiCache for Redis clusters can scale to terabytes of memory and millions of reads and writes per second! Other recent improvements to Amazon ElastiCache for Redis include:
Read Replica Scaling – Support for adding or removing read replica nodes to a Redis Cluster, along with a reduction of up to 40% in cluster creation time.
PCI DSS Compliance – Certification as Payment Card Industry Data Security Standard (PCI DSS) compliant. This allows you to use ElastiCache for Redis (engine versions 4.0.10 and higher) to build low-latency, high-throughput applications that process sensitive payment card data.
FedRAMP Authorized and Available in AWS GovCloud (US) – United States government customers and their partners can use ElastiCache for Redis to process and store their FedRAMP systems and data for mission-critical, high-impact workloads in the AWS GovCloud (US)


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Comcast Working on Video Streaming Box for Broadband

Here’s a bit of breaking news about Comcast, the cable and broadband Internet giant. The company is working on a streaming platform for its Internet broadband customers that will deliver an experience similar to its X1 cable service, without the need to subscribe to cable.
The new device will allow customers to utilize apps such as Netflix, Amazon prime and YouTube but it will not have an app store per se. It’s not yet known what the app selection will be.
Interestingly, this is one way Comcast will be able to deliver 4K, HDR and 3D immersive sound to its customers. I can’t say how, but I’ve seen this system in and it is real.
Another aspect of the new platform is that Comcast sees it as a gateway to the connected home and IoT “Internet of Things” connectivity. The demo I witnessed at the headquarters included emulation of one will be like


Original URL: https://www.avsforum.com/comcast-working-video-streaming-box-broadband-customers/

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New Lower-Cost, AMD-Powered M5a and R5a EC2 Instances

From the start, AWS has focused on choice and economy. Driven by a never-ending torrent of customer requests that power our well-known Virtuous Cycle, I think we have delivered on both over the years:
Choice – AWS gives you choices in a wide range of dimensions including locations (18 operational geographic regions, 4 more in the works, and 1 local region), compute models (instances, containers, and serverless), EC2 instance types, relational and NoSQL database choices, development languages, and pricing/purchase models.
Economy – We have reduced prices 67 times so far, and work non-stop to drive down costs and to make AWS an increasingly better value over time. We study usage patterns, identify areas for innovation and improvement, and deploy updates across the entire AWS Cloud on a very regular and frequent basis.
Today I would like to tell you about our latest development, one that provides you with a choice


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Locast is a Nonprofit that Offers Free Local TV Streaming

Can an upstart nonprofit called Locast succeed where the now defunct Aereo service failed and find a way to deliver local TV broadcasts over the Internet without incurring the wrath of the federal government, not to mention Comcast?
Aeroe, for those who remember, claimed that it used arrays of antennas—one per subscriber——o capture OTA (over the air) TV broadcasts and deliver them to viewers via Internet streaming. The company was quickly sued and put out of business!
The idea behind Locast, which went national on August 2, 2018 and is expanding, is that there is a federal law which allows a nonprofit organization to boost local OTA TV signals—to “translate” them in the parlance of the law—with the goal of expanding the range of local TV coverage. So, Locast is structured as a nonprofit, and so far it has not been sued. If you want to read the actual law used as


Original URL: https://www.avsforum.com/locast-nonprofit-offers-free-local-tv-streaming/

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AWS Serverless Application Model (SAM) Command Line Interface – Build, Test, and Debug Serverless Apps Locally

Decades ago, I wrote page after page of code in 6502 assembly language. After assembling and linking the code, I would load it into memory, set breakpoints at strategic locations, and step through to make sure that everything worked as intended. These days, I no longer have the opportunity to write or debug any non-trivial code, so I was a bit apprehensive when it came time to write this blog post (truth be told, I have been procrastinating for several weeks).
SAM CLI I want to tell you about the new Serverless Application Model (SAM) Command Line Interface, and to gain some confidence in my ability to build something using AWS Lambda as I do so! Let’s review some terms to get started:
AWS SAM, short for Serverless Application Model, is an open source framework you can use to build serverless applications on AWS. It provides a shorthand syntax you


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