AWS CloudTrail Adds Logging of Execution Activity for AWS Lambda Functions

You can now log the execution activity of your AWS Lambda functions with AWS CloudTrail Lambda data events. Previously, you could only log Lambda management events, which provide information on when and by whom a function was created, modified, or deleted. Now, you can also record Lambda data events and get additional details on when and by whom an Invoke API call was made and which Lambda function was executed. All Lambda data events are delivered to an Amazon S3 bucket and Amazon CloudWatch Events, which allows you to respond to events recorded by CloudTrail. For example, you can quickly determine which Lambda functions were executed in the past three days and identify the source of the Invoke API calls. You can take immediate action to restrict Invoke API calls to known users or roles if you detect inappropriate Lambda activity.

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AWS Lambda Doubles Maximum Memory Capacity for Lambda Functions

You can now allocate 3008MB of memory to your AWS Lambda functions. Previously, the maximum amount of memory available to your functions was 1536MB. Now, it's easier to process workloads with higher memory or denser compute requirements, such as big data analysis, large file processing, and statistical computations.

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AWS Lambda Introduces Enhanced Console Experience

The AWS Lambda console has been updated with enhancements and new features that improve the experience of creating, configuring, testing, and monitoring your Lambda functions. 

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Set Concurrency Limits on Individual AWS Lambda Functions

You can now set a concurrency limit on individual AWS Lambda functions. The concurrency limit you set will reserve a portion of your account level concurrency limit for a given function. This feature allows you to throttle a given function if it reaches a maximum number of concurrent executions allowed, which you can choose to set. This is useful when you want to limit traffic rates to downstream resources called by Lambda (e.g. databases) or if you want to control the consumption of elastic network interfaces (ENI) and IP addresses for functions accessing a private VPC. 

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Alexa for Business Is Now Generally Available

Alexa for Business is now generally available for all customers. Alexa for Business makes it easy for you to introduce Alexa to your organization, providing the tools you need to set-up and manage Alexa-enabled devices, enroll users, and assign skills at scale.

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AWS Serverless Application Repository Enables Customers to Discover, Deploy, and Publish Serverless Applications

The AWS Serverless Application Repository is a collection of serverless applications published by developers, companies, and partners in the serverless community.

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Introducing AWS Cloud9

AWS Cloud9 is a cloud based IDE for writing, running, and debugging your code.

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Amazon API Gateway Supports Endpoint Integrations with Private VPCs

You can now provide access to HTTP(S) resources within your Amazon Virtual Private Cloud (VPC) without exposing them directly to the public Internet. You can use API Gateway to create an API endpoint that is integrated with your VPC. You create an endpoint to your VPC by setting up a VPC link between your VPC and a Network Load Balancer (NLB), which is provided by Elastic Load Balancing. The NLB send requests to multiple destinations in your VPC such as Amazon EC2 instances, Auto Scaling groups, or Amazon ECS services. NLBs also support private connectivity over AWS Direct Connect, so that applications in your own data centers will be able to connect to your VPC via the Amazon private network.

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A day will come when Azure Active Directory 'classic' portal is killed. But it is not this day

Microsoft extends end-of-life till January 8. Why? Uh, Microsoft

For reasons unknown, Microsoft has decided at the last minute not to pull the plug on the old Azure Active Directory portal just yet.…

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Amazon Lightsail adds load balancers with integrated certificate management

Amazon Lightsail has added load balancers to its easy-to-use cloud platform, enabling developers to build scalable, highly available websites and applications easily and quickly. Load balancers can be launched in minutes, fully configured and ready to route traffic to Lightsail instances for a low, predictable price of $18 per month. Lightsail load balancers also allow customers to easily build and maintain secure applications that accept HTTPS traffic with free SSL/TLS certificates and intuitive, built-in certificate management. 

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Nokia 'not currently' talking about or arranging Juniper buy

Note the 'currently' because something just made the Gin Palace's shares pop 20 per cent

Nokia Networks has denied a rumour that it's planning to make an offer for Juniper Networks.…

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Introducing the Amazon Time Sync Service

The Amazon Time Sync Service provides a highly accurate and reliable time reference that is natively accessible from Amazon EC2 instances.

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Announcing Amazon EC2 T2 Unlimited for Sustained High CPU Performance

Amazon EC2 T2 instances can now deliver high CPU performance for as long as a workload needs it. T2 instances have previously enabled customers to optimize costs for their workloads with a generous baseline CPU performance and the ability to burst above baseline for short periods. With T2 Unlimited, workloads can now burst beyond the baseline for as long as required. This enables customers to enjoy the low T2 instance hourly price for a wide variety of general purpose applications, and ensure that their instances are never constrained to the baseline. Common general-purpose workloads on T2 instances include micro-services, low-latency interactive applications, small and medium databases, virtual desktops, development, build and stage environments, code repositories, and product prototypes.

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Introducing Spread Placement Groups for Amazon EC2

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Introducing Launch Templates for Amazon EC2 instances

Launch Templates is a new capability that enables a new way to templatize your launch requests. Launch Templates streamline and simplify the launch process for Auto Scaling, Spot Fleet, Spot, and On-Demand instances.

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Ready-to-Use Managed Rules Now Available on AWS WAF

Managed Rules for AWS WAF, available today, enable you to easily protect your web applications and APIs from Internet threats. Choose from preconfigured RuleGroups provided in the AWS Marketplace by industry leading security experts: Alert Logic, Fortinet, Imperva, Trend Micro and TrustWave. Rules are automatically updated as new threats emerge and offer a wide range of protections, including OWASP Top 10 mitigations, bad-bot defenses, and virtual patching against recent CVE’s. Other, more specialized managed RuleGroups protect application platforms including content management systems like WordPress or Drupal. Each RuleGroup is the product of a Seller’s unique expertise, made available to you at an affordable pay-as-you-go price. Managed Rules for AWS WAF are designed to help you spend less time writing security rules and maintaining servers, and more time building applications for your customers.

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Announcing Support for Inter-Region VPC Peering

Amazon EC2 now allows peering relationships to be established between Virtual Private Clouds (VPCs) across different AWS regions. Inter-Region VPC Peering allows VPC resources like EC2 instances, RDS databases and Lambda functions running in different AWS regions to communicate with each other using private IP addresses, without requiring gateways, VPN connections or separate network appliances.

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Introducing AWS Systems Manager

AWS Systems Manager provides a unified user interface that allows you to view operational data from multiple AWS services and automate operational tasks across your AWS resources.

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AWS Greengrass adds feature for Machine Learning Inference

AWS Greengrass Machine Learning (ML) Inference makes it easy to perform ML inference locally on AWS Greengrass devices using models that are built and trained in the cloud.  Until now, building and training ML models and running ML inference was done almost exclusively in the cloud.  Training ML models requires massive computing resources so it is a natural fit for the cloud.  With AWS Greengrass ML Inference your AWS Greengrass devices can make smart decisions quickly as data is being generated, even when they are disconnected.

The capability simplifies each step of deploying ML, including accessing ML models, deploying models to devices, building and deploying ML frameworks, creating inference apps, and utilizing on device accelerators such as GPUs and FPGAs.  For example, you can access a deep learning model built and trained in Amazon SageMaker directly from the AWS Greengrass console and then download it to your device as part of an AWS Greengrass group.  AWS Greengrass ML Inference includes a prebuilt Apache MXNet framework to install on AWS Greengrass devices so you don't have to create this from scratch.  The pre-built Apache MXNet package for NVIDIA Jetson, Intel Apollo Lake, and Raspberry Pi devices can be downloaded directly from the cloud or can be included as part of the software in your AWS Greengrass group.

AWS Greengrass ML Inference also includes prebuilt AWS Lambda templates that you use to create an inference app quickly.  The provided Lambda blueprint shows you common tasks such as loading models, importing Apache MXNet, and taking actions based on predictions.

In many applications, your ML model will perform better when you fully utilize all the hardware resources available on the device, and AWS Greengrass ML Inference helps with this. To let your application access the hardware resources on your device, you declare them as a local resource in your AWS Greengrass group in the AWS Greengrass console.

To use these features, please sign up for the preview.

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AWS IoT Core Adds Enhanced Authentication Features

Starting today, AWS IoT Core is providing new authentication mechanisms that allow you to connect your devices to AWS. Using the custom authentication feature, customers can utilize bearer token authentication strategies, such as OAuth, to connect to AWS without using a X.509 certificate on their devices. With this, customers can reuse their existing authentication mechanism that they have already invested in.

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Introducing Amazon Translate – Now in Preview

Amazon Translate is a neural machine translation service that delivers fast, high-quality, and affordable language translation. Neural machine translation uses deep learning to deliver more accurate and more natural sounding translation than older statistical and rule-based translation algorithms. Amazon Translate enables translation at scale so that you can easily translate large volumes of text efficiently to handle tasks like localizing content for international users and facilitating real-time cross-lingual communication.

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Amazon FreeRTOS: IoT Operating System for Microcontrollers

Amazon FreeRTOS is an IoT operatin system for microcontrollers that makes small, low-powered edge devices easy to program, deploy, secure, connect, and maintain. Amazon FreeRTOS extends the FreeRTOS kernel, a popular open source real-time operating system for microcontrollers, and includes software libraries for security, connectivity, and updateability. Amazon FreeRTOS provides everything you need to easily program connected microcontroller-based devices and collect data from them for IoT applications, and helps you scale those applications across millions of devices. Amazon FreeRTOS is free of charge, open source, and available to all today. To learn more and get stared, click here.

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Introducing Amazon Kinesis Video Streams

Customers use Amazon Kinesis to run real-time analytics using data streams. Today, we are adding video streams to Kinesis. We are announcing Amazon Kinesis Video Streams, a fully managed video ingestion and storage service. Kinesis Video Streams makes it easy to securely stream video from connected devices to AWS for machine learning, analytics, and processing. You can also stream other time-encoded data like RADAR and LIDAR signals using Kinesis Video Streams.

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Announcing AWS IoT Analytics

You can now use AWS IoT Analytics to cleanse, process, enrich, store, and analyze IoT data at scale. It is the easiest way to run analytics on IoT data and get insights that help you make better and more accurate decisions for IoT applications and machine learning use cases.  

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Amazon Glacier Select Makes Big Data Analytics of Archive Data Possible

Amazon Glacier Select is a new way to query archived data in Amazon Glacier. Glacier Select allows queries to run directly on data stored in Amazon Glacier, retrieving only the data you need out of your archives to use for analytics. This allows you to reduce total cost of ownership while massively extending your data lake into cost-effective archive storage.

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Introducing Amazon Elastic Container Service for Kubernetes (Preview)

Amazon Elastic Container Service for Kubernetes (Amazon EKS) is a managed service that makes it easy for you to run Kubernetes on AWS without needing to install, operate, and maintain your own Kubernetes clusters.

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AWS IoT Device Defender Helps You Manage Device Security

AWS is pleased to announce AWS IoT Device Defender, a fully managed service that allows you to secure your fleet of IoT devices on an ongoing basis. AWS IoT Device Defender audits your fleet to ensure it adheres to security best practices, detects abnormal device behavior, alerts you to security issues, and recommends mitigation actions for these security issues. AWS IoT Device Defender is current not generally available. In order to learn more about AWS IoT Device Defender and to express your interest in the service, please sign up here.  

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AWS Launches Amazon DynamoDB Global Tables

Global Tables builds upon DynamoDB’s global footprint to provide you with a fully managed, multi-region, and multi-master database that provides fast, local, read and write performance for massively scaled, global applications. Global Tables replicates your Amazon DynamoDB tables automatically across your choice of AWS regions.

Global Tables eliminates the difficult work of replicating data between regions and resolving update conflicts, enabling you to focus on your application’s business logic. In addition, Global Tables enables your applications to stay highly available even in the unlikely event of isolation or degradation of an entire region.

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Introducing Amazon Comprehend – Discover Insights from Text

Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to analyze your text. Amazon Comprehend identifies the language of the text, extracts key phrases, places, people, brands, or events, understands sentiment about products or services, and identifies the main topics from a library of documents. The service learns from a variety of information sources, including Amazon.com product descriptions and consumer reviews and it retrains against new data constantly to keep pace with the evolution of language. Because of the depth and breadth of this training approach, it is able to provide accurate coverage for a wide range of scenarios like analyzing customer feedback, intelligent document search, and automatically organizing content.

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Introducing Amazon SageMaker

Amazon SageMaker is a fully-managed service that enables data scientists and developers to quickly and easily build, train, and deploy machine learning models at any scale. Amazon SageMaker includes modules that can be used together or independently to build, train, and deploy your machine learning models.

Build
Amazon SageMaker makes it easy to build ML models and get them ready for training by providing everything you need to quickly connect to your training data, and to select and optimize the best algorithm and framework for your application. Amazon SageMaker includes hosted Jupyter notebooks that make it is easy to explore and visualize your training data stored in Amazon S3. You can connect directly to data in S3, or use AWS Glue to move data from Amazon RDS, Amazon DynamoDB, and Amazon Redshift into S3 for analysis in your notebook.

To help you select your algorithm, Amazon SageMaker includes the 10 most common machine learning algorithms which have been pre-installed and optimized to deliver up to 10 times the performance you’ll find running these algorithms anywhere else. Amazon SageMaker also comes pre-configured to run TensorFlow and Apache MXNet, two of the most popular open source frameworks. You also have the option of using your own framework.

Train
You can begin training your model with a single click in the Amazon SageMaker console. Amazon SageMaker manages all of the underlying infrastructure for you and can easily scale to train models at petabyte scale. To make the training process even faster and easier, AmazonSageMaker can automatically tune your model to achieve the highest possible accuracy.

Deploy
Once your model is trained and tuned, Amazon SageMaker makes it easy to deploy in production so you can start running generating predictions on new data (a process called inference). Amazon SageMaker deploys your model on an auto-scaling cluster of Amazon EC2 instances that are spread across multiple availability zones to deliver both high performance and high availability. Amazon SageMaker also includes built-in A/B testing capabilities to help you test your model and experiment with different versions to achieve the best results.

Amazon SageMaker takes away the heavy lifting of machine learning, so you can build, train, and deploy machine learning models quickly and easily.

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Introducing Amazon Transcribe – Now in Preview

Amazon Transcribe is an automatic speech recognition (ASR) service that makes it easy for developers to add speech to text capability to their applications. Amazon Transcribe can analyze audio files stored in Amazon S3 and return a text file of the transcribed speech with time stamps for every word so you can easily locate the audio in the original source by searching for the text.

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Amazon ECS CLI Version 1.1.0 adds AWS Fargate Support

The Amazon Elastic Container Service (ECS) command line interface (CLI) is now available as version 1.1.0.

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Sign Up for the Preview of Amazon Aurora Multi-Master

Amazon Aurora Multi-Master allows you to create multiple read/write master instances across multiple Availability Zones. This enables applications to read and write data to multiple database instances in a cluster, just as you can read across Read Replicas today.

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Introducing AWS DeepLens, the World’s First Deep-Learning Enabled Video Camera for Developers

AWS DeepLens is a deep learning enabled wireless video camera specifically designed to help developers of all skill levels grow their machine learning skills through hands-on computer vision tutorials, example code, and pre-built models. DeepCam includes an HD video camera with on-board compute optimized for deep learning, which is fully programmable using AWS Lambda. Developers are free to focus on their machine learning skills, while DeepCam automatically optimizes and deploys models to the device and connects to the cloud for more advanced capabilities. DeepCam integrates with Amazon SageMaker giving developers an end-to-end solution to learn, develop, and test machine learning applications both in the cloud and at the edge, for the very first time.

 

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Amazon Neptune: Fast, reliable graph database built for the cloud

Amazon Neptune is a fast, reliable, fully-managed graph database service that makes it easy to build and run applications that work with highly connected datasets. The core of Amazon Neptune is a purpose-built, high-performance graph database engine optimized for storing billions of relationships and querying the graph with milliseconds latency. Amazon Neptune supports popular graph models Apache TinkerPop and W3C's RDF, and their associated query languages TinkerPop Gremlin and RDF SPARQL, allowing you to easily build queries that efficiently navigate highly connected datasets. Neptune powers graph use cases such as recommendation engines, fraud detection, knowledge graphs, drug discovery, and network security.

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AWS IoT One Click, Now in Preview

AWS IoT 1-Click is a service that makes it easy for simple devices to trigger AWS Lambda functions that execute a specific action. With AWS IoT 1-Click, simple devices such as the AWS IoT Enterprise Button and the AT&T LTE-M Button are ready to securely connect to AWS IoT right out of the box, making it easy to deploy these devices. You can activate devices by associating them to actions such as Lambda functions with a single click.

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Announcing AWS IoT Device Management

You can now use AWS IoT Device Management to securely onboard, organize, monitor, and remotely manage your IoT devices at scale throughout their lifecycle. With IoT Device Management, you can upload device information and configuration, organize your device inventory, monitor your fleet of devices, and remotely manage devices deployed across many locations including updating device software over-the-air (OTA). This helps you scale your device fleets and reduce the cost and effort of managing large IoT device deployments.

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Over-the-air updates, access to local resources, and OPC-UA industrial protocol adapter now available on AWS Greengrass

AWS Greengrass is a software that lets you run local compute, messaging, data caching, and sync capabilities for connected devices in a secure way. AWS Greengrass has three new features. First, AWS Lambda functions running on Greengrass Core devices can natively interact with the capabilities of the underlying host device, such as a camera, serial bus, or GPU so that Greengrass devices can more easily interact with their physical environments. Second, Greengrass can now use the popular industrial messaging protocol OPC-UA to communicate with other equipment, and customers can also easily create their own protocol adapters. Third, you can now remotely update the Greengrass Core software to take advantage of new features, bug fixes and security enhancements.

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Introducing Amazon Rekognition Video

Amazon Rekognition Video is a deep learning powered video analysis service that tracks people, detects activities, and recognizes objects, celebrities, and inappropriate content. Amazon Rekognition Video can detect and recognize faces in live streams. Rekognition Video can also analyze existing video stored in Amazon S3. It returns specific labels of activities, people and faces, and objects with time stamps so you can easily locate the scene. For people and faces, it also returns the bounding box, which is the specific location of the person or face in the frame. Rekognition Video’s easy-to-use APIs are ideal for immediate response for public safety customers, generating search index for media and entertainment customers, and monitoring for smart homes.

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Introducing AWS Fargate

AWS Fargate is a technology for deploying and managing containers without having to manage any of the underlying infrastructure. Fargate makes it easy to scale your applications. You no longer have to worry about provisioning enough compute resources for your container applications. You can launch tens or tens of thousands of containers in seconds.

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Amazon S3 Select Is Now Available in Preview

Amazon S3 Select is now available in Preview. S3 Select is a new Amazon S3 capability designed to pull out only the data you need from an object, dramatically improving the performance and reducing the cost of applications that need to access data in S3.

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Sign Up for the Preview of Amazon Aurora Serverless

Amazon Aurora Serverless is an on-demand auto-scaling configuration for Amazon Aurora, where the database will automatically start up, shut down, and scale up or down capacity based on your application's needs. Aurora Serverless enables you to run your relational database in the cloud without managing any database instances or clusters.

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AWS Launches Amazon DynamoDB Backup and Restore

On-Demand Backup allows you to create full backups of your DynamoDB tables data for data archival, helping you meet your corporate and governmental regulatory requirements. You can backup tables from a few megabytes to hundreds of terabytes of data, with no impact on performance and availability to your production applications.

On-Demand Backup processes back up requests in seconds regardless of the size of your tables, so you don’t have to worry about backup schedules or long-running processes. All backups are automatically encrypted, cataloged, easily discoverable, and retained until you explicitly delete them. You can execute backup and restore operations with a single-click in the AWS Management Console or a single API call.

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Max Schrems launches privacy NGO, wins €60k within first 24 hours

'None of Your Business' to help bring consumer cases to court

Austrian privacy activist Max Schrems is crowdfunding a nonprofit that will bring consumer privacy cases to court in a bid to enforce European data protection laws.…

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Can't wait for 5G? Don't then, Gigabit LTE will be around for ages

Yes, it's real

While 5G suffers the usual, protracted birth pangs, unfashionable Gigabit LTE is going to be how your mobile bits are delivered for ages.…

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IBM figures out it takes longer than a week to re-wire software

New TLS 1.0 turnoff offers three months warning, reprieve if you'd rather remain insecure

IBM has announced it will again try to wean its cloud off the known-to-be-insecure TLS 1.0 and 1.1, but will also keep them available for some services.…

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£160m ploughed into 5G is a fair sum. Shame the tech doesn't really exist

UK.gov insiders fairly certain cash won't be spent that way

Going by last week's Budget, it looks like the only ones still drinking the 5G Kool-Aid are senior politicians. Perhaps they think it will make them look visionary.…

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Introducing Amazon EC2 H1 Instances, the latest generation of Storage Optimized instances for high performance big data workloads

Amazon EC2 H1 instances are the latest generation of Amazon EC2’s Storage Optimized instances, which are powered by 2.3 GHz Intel^® Xeon^® E5 2686 v4 processors (codenamed Broadwell), offer more vCPUs and more memory per terabyte of local magnetic storage compared to D2 instances. The largest instance size, h1.16xlarge, provides 64vCPUs and 16TB of HDD-based instance storage. H1 instances are designed for applications that need low cost storage, high disk throughput, and high sequential disk I/O access to large data sets. H1 instances are ideal for data-intensive workloads such as MapReduce-based workloads, distributed file systems such as HDFS and MapR-FS, network file systems, log or data processing applications such as Apache Kafka, and big data workload clusters.

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Amazon EC2 Spot Lets you Pause and Resume Your Workloads

Amazon EC2 Spot can now hibernate Amazon EBS-backed instances in the event of an interruption. Spot can fulfill your request by resuming instances from a hibernated state when capacity is available. Hibernate is just like closing and opening your laptop lid, with your application starting up right where it left off.

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Introducing Amazon EC2 M5 Instances

M5 Instances are the next generation of the Amazon EC2 General Purpose compute instances, powered by 2.5 GHz Intel® Xeon Platinum 8175 processors (formerly codenamed Skylake), and featuring Intel’s newest vector processing instruction set, Advanced Vector Extension 512 (AVX-512). M5 instances are based on the Nitro System, a combination of dedicated hardware and lightweight hypervisor, which delivers practically all of the compute and memory resources of the host hardware to your instances. They deliver up to 14% improvement in price/performance compared to M4 instances with the updated processor. The addition of new AVX-512 delivers 2x the performance per core for vector and floating point intensive workloads such as image and video processing, data compression, cryptography, and high-performance web serving.

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Announcing Amazon EC2 Bare Metal Instances (Preview)

Amazon EC2 Bare Metal instances provide your applications with direct access to the processor and memory of the underlying server. These instances are ideal for workloads that require access to hardware feature sets (such as Intel VT-x), or for applications that need to run in non-virtualized environments for licensing or support requirements.

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Amazon EC2 Spot introduces new pricing model and the ability to launch Spot instances via RunInstances API

Amazon EC2 simplified the Amazon EC2 Spot instance pricing by moving to a model that delivers low, predictable prices that adjust gradually based on long-term trends in supply and demand. You will continue to save up to 90% off the On-Demand instance price and you will continue to pay the Spot price that's in effect at the beginning of each instance-hour for your running instance.

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Announcing Amazon GuardDuty – Intelligent Threat Detection

Amazon GuardDuty is a threat detection service that provides you with an accurate and easy way to continuously monitor and protect your AWS accounts and the applications and services running within them. With a few clicks in the AWS Management Console, GuardDuty immediately begins analyzing billions of events from AWS CloudTrail, VPC Flow Logs, and other AWS data sources.

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AWS reveals 'Nitro'... Custom ASICs and boxes that do grunt work so EC2 hosts can just run instances

Also bare metal EC2, that KVM-based hypervisor and an entry to the security biz

AWS reveals 'Nitro' - custom ASICS and boxes that do grunt work so EC2 hosts can just run instances Also bare metal EC2 and a KVM-based hypervisor Amazon Web Services has revealed that it's spent four years working on a new architecture that offloads networking, storage and management tasks from EC2 host servers to dedicated hardware.…

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Introducing Amazon MQ

Amazon MQ is a managed message broker service for Apache ActiveMQ that makes it easy to set up and operate message brokers in the cloud. Message brokers allow different software systems–often using different programming languages, and on different platforms–to communicate and exchange information. Messaging is the communications backbone that connects and integrates the components of distributed applications, such as order processing, inventory management, and fullfillment for e-commerce. Amazon MQ manages the administration and maintenance of ActiveMQ, a popular open-source message broker. Amazon MQ takes care of time-consuming tasks such as provisioning the infrastructure, setting up the broker, updating the software, and managing security. Amazon MQ is designed to withstand failures so your messages are highly available. With Amazon MQ, you get direct access to the ActiveMQ console and industry standard APIs and protocols for messaging, including JMS, NMS, AMQP, STOMP, MQTT, and WebSocket. You can easily move from any message broker that uses these standards to Amazon MQ because you don’t have to rewrite any messaging code in your applications.

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AWS Batch Adds Support for Large-Scale Job Submissions with Array Jobs

AWS Batch now supports the submission of arrays of jobs with a single API call. With ArrayJobs, users can easily submit, with a single SubmitJob call, up to 10,000 copies of a job. Users can also express dependencies on Array Jobs, including 'N-to-N' dependencies between related elements across multiple Array Jobs. Array Jobs simplify the submission and management of large-scale Monte Carlo simulations, parametric sweeps, and jobs which need to perform the same operation on thousands of input files or objects. AWS Batch dynamically provisions the optimal quantity and type of compute resources (e.g., CPU or memory optimized instances) based on the volume and specific resource requirements of the batch jobs submitted. With AWS Batch, there is no need to install and manage batch computing software or server clusters.

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Announcing Advanced Security Features (Beta) for Amazon Cognito

Now, you can use advanced security features (beta) for Amazon Cognito to help protect access to user accounts in your applications. These advanced security features provide risk-based adaptive authentication and protection from the use of compromised credentials.

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AWS Lambda Supports Traffic Shifting and AWS CodeDeploy Deployments

You can now shift incoming traffic between two AWS Lambda function versions based on pre-assigned weights. This allows you to gradually shift traffic between two versions, helping you reduce the risk and limit the blast radius of new Lambda deployments. You can now also use AWS CodeDeploy to automatically manage the rollout of new function versions. CodeDeploy is a service that automates software deployments to a variety of compute services like Lambda and Amazon EC2. CodeDeploy makes it easy to gradually and safely deploy updates to Lambda, and it is supported by the AWS Serverless Application Model.  

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Amazon API Gateway Supports Canary Release Deployments

You can now use canary release deployments to gradually roll out new APIs in Amazon API Gateway. This helps you more safely roll out API changes and limit the blast radius of new deployments.

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Introducing AWS AppSync, a managed GraphQL service with real-time data and offline programming

AWS AppSync is a new service in Public Preview that enables you to manage and update mobile app data in real-time between devices and the cloud, and allows apps to interact with the data on the mobile device when it is offline. With AWS AppSync, applications can easily access AWS services using a data language called GraphQL and an SDK that is optimized for mobile and web applications. GraphQL is an open standard that lets you request, change, and subscribe to the exact data you need in a single network request. This makes prototyping and building data intensive applications as simple as writing a few lines of code.

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Stock trader sues transatlantic ISP for spiteful cable cut

We were bought by your rival, but that doesn't mean we don't still need you (for a few months)

A New York investment firm is suing its ISP to keep its high-speed cable service going after it was acquired by a company that has a beef with the service provider.…

via The Register - Data Centre: Networks
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FCC boss Ajit defends axing net neutrality by… attacking Cher

Pai puts in his thumb and pulls out a plum

Analysis  Ajit Pai – the head of America's broadband watchdog, the FCC – has responded to widespread criticism of his plan to tear up net neutrality safeguards by… mocking celebrity tweets.…

via The Register - Data Centre: Networks
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AWS PrivateLink Now Available for Customer and Partner Services

Earlier this month, we introduced AWS PrivateLink, a new service that allows customers to privately access select AWS services from their Virtual Private Cloud and from on-premises via AWS Direct Connect. We are now extending this capability to customer and partner services hosted on AWS.

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AWS PrivateLink on AWS Marketplace now available

AWS Marketplace is pleased to announce that customers can now discover Software-as-a-Service (SaaS) applications that are available on AWS PrivateLink, and connect to these applications using verified DNS names on the service endpoints. AWS PrivateLink enables customers to access services hosted on AWS in a highly available and scalable manner, while keeping the network traffic within the AWS network.

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AWS Partner Network Launches New Competency, AWS Machine Learning Partner Solutions

The AWS Partner Network (APN) is thrilled to announce the launch of the new AWS Machine Learning Competency. The AWS Competency Program is designed to highlight APN Partners who have demonstrated technical proficiency and proven customer success in specialized solution areas and categories.

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AWS Partner Network Launches New Networking Competency

The AWS Partner Network (APN) is thrilled to announce the launch of the new AWS Networking Competency. The AWS Competency Program is designed to highlight APN Partners who have demonstrated industry expertise, readily implemented solutions that align with AWS architectural best practices, and have staff with AWS-certifications.

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One love, OneSphere: Let's give thanks to the cloud and HPE, all right?

From multi-cloud pain in the ass to a single pane of glass

Analysis  With OneSphere, HPE has attempted to take a multi-silo, on-premises, hybrid and public cloud pain in the proverbial and "fix it" through one pane of glass.…

via The Register - Data Centre: Cloud
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Navigating the hybrid cloud maze: Have you agreed on a cost of exit?

Once you're in...

How times change. When the Cloud Industry Forum first started surveying cloud take-up, about seven years ago, most businesses still weren’t using any cloud services. Its latest survey, published this spring, revealed that nearly 90 per cent of organisations are using cloud, each one deploying three cloud-based services.…

via The Register - Data Centre: Cloud
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AWS Alexa Skill Now Available

You can now hear the latest launch announcements from AWS on your Alexa-enabled device with the AWS Alexa skill. The AWS skill augments the existing channels (Blog posts and What’s New posts) with a hands-free option for consuming information about new services and features from AWS. You can enable the skill on your Alexa-enabled device by filtering search results to Alexa Skills on amazon.com and searching for “AWS”. After enabled, you can customize the skill to only hear about your favorite services (e.g. EC2) or categories (e.g. Compute) from AWS.

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AT&T, Comcast trash, kill Nashville's Googley broadband cable rules

City's attempt to foster competition shafted after taking pole position

An American city's efforts to make it easier for Google and upstart ISPs to compete against cable giants has been unceremoniously unplugged.…

via The Register - Data Centre: Networks
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HPE GreenLake: Enterprise takes another splash at pay-as-you-go private cloud

Come on in, the water's... err... cloudy

Businesses want cloud-style IT, HPE declared as it pushed out GreenLake on-premises everything-as-a-service models – an evolution of its Flex Capacity pay-per-use infrastructure.…

via The Register - Data Centre: Cloud
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Another way to avoid eye contact: 4G on the Tube expected 'by 2019'

Summer tests show mobile signal on all trains is possible

Transport for London promises to have 4G mobile coverage on the London Underground by 2019 following successful tests this summer.…

via The Register - Data Centre: Networks
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Introducing AWS Elemental MediaLive

Today we announced the general availability of AWS Elemental MediaLive, a live video processing service that enables video providers to encode high-quality live video streams for broadcast television and multiscreen devices. It does all the heavy lifting behind the scenes for resource provisioning, service orchestration, scaling, healing, resiliency failover, monitoring, and reporting. With push-button deployment, customers can stand up live channels in minutes with resources that automatically scale up and down based on load and number of channels. To achieve the same result with on-premises solutions requires planning, procurement, installation, provisioning, configuration, setup, testing, and troubleshooting that can take weeks, months, or even years before going into production. The channel-based, pay-as-you-go service simplifies operational complexity, improves cost efficiency, and minimizes financial risk. AWS Elemental MediaLive enables customers to build flexible 24x7 live video workflows or deliver event-based live streams with full control over encoding parameters using a best-of-breed service with support for standard video players and CDNs.

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Introducing AWS Elemental MediaConvert

Today we announced the general availability of AWS Elemental MediaConvert, a file-based video processing service that allows video providers with any size content library to easily and reliably transcode on-demand content for broadcast and multiscreen delivery. You can build workflows to generate high-quality video outputs in minutes instead of weeks or months. With access to a comprehensive set of advanced transcoding features, workflows that in the past could only have been implemented on-premises can now be built in the cloud. Now you can focus on delivering compelling media experiences without having to manage the complexity of building and operating broadcast-grade video processing infrastructure. AWS Elemental MediaConvert is easy to use with a pay-as-you-go pricing model. It offers a high degree of availability, reliability, and scalability along with tight integration with other AWS services.

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Introducing AWS Elemental MediaStore

Today we announced the general availability of AWS Elemental MediaStore, a video origination and storage service that offers the high performance, predictable low latency, and immediate consistency required for live and on-demand media combined with the security and durability of Amazon Simple Storage Service (S3). The service provides an inexpensive method for simple pass-through content delivery with predictable pay-as-you-go pricing.

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Announcing Amazon Sumerian (Preview)

Amazon Sumerian lets you create and run virtual reality (VR), augmented reality (AR), and 3D applications quickly and easily without requiring any specialized programming or 3D graphics expertise. With Sumerian, you can build highly immersive and interactive scenes that run on popular hardware such as Oculus Rift, HTC Vive, and iOS mobile devices (support for Android ARCore coming soon). For example, you can build a virtual classroom that lets you train new employees around the world, or you can build a virtual environment that enables people to tour a building remotely. Sumerian makes it easy to create all the building blocks needed to build highly immersive and interactive 3D experiences including adding objects (e.g. characters, furniture, and landscape), and designing, animating, and scripting environments. Sumerian does not require specialized expertise and you can design scenes directly from your browser.

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Introducing AWS Elemental MediaTailor

Today we announced the general availability of AWS Elemental MediaTailor, a content personalization and monetization service that allows video providers to serve video with targeted ads to end users while maintaining broadcast quality-of-service in multiscreen video applications. Advertising is inserted upstream before delivery, on the server side; so, a continuous stream arrives at the consumer device, eliminating any possibility of discrimination between content and commercials. Ads are better monetized, maintain video quality that consistently matches the primary content, and are simpler to manage across multiplatform environments. AWS Elemental MediaTailor offers managed transcoding of ad content to provide the best end user experience while also enabling standards-based client- and server-side ad reporting within a single service. Customers are given full control over the player, origin, and CDN while providing the highest-quality viewer experience.

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Introducing AWS Elemental MediaPackage

Today we announced the general availability of AWS Elemental MediaPackage, a video origination and just-in-time packaging service that allows video distributors to securely and reliably deliver streaming content at scale. The service offers just-in-time packaging for cost-effective video distribution using multiple delivery and content protection standards, and makes it easy to enrich audience experiences with time-shifted TV and other advanced features. With AWS Elemental MediaPackage, customers can reduce workflow complexity, increase origin resiliency, and better protect multiscreen content without the risk of under or over-provisioning infrastructure for a solution to delivery content across a growing ecosystem of connected devices and dynamic viewing experiences.

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China plots new Great Leap Forward: to IPv6

It'll be a doddle because we invented it, claims state-owned organ Xinhua

China has claimed it invented IPv6, according to state-controlled newswire Xinhua.…

via The Register - Data Centre: Networks
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nbn™ pauses hybrid fibre-coax build and will fix current connections

Billions spent on networks not fit for purpose, cabling may be to blame

+Comment  nbn™, the company building and operating Australia's National Broadband Network (NBN), has announced that it will remediate parts of its hybrid fibre-coax and pause new rollouts…

via The Register - Data Centre: Networks
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Dark fibre arts: Ofcom is determined to open up BT's network

But will it make a difference?

Analysis  BT has long been accused of jealously guarding its infrastructure. But forcing it to open up its network to competitors and break its market dominance has been an aim of Ofcom for some time.…

via The Register - Data Centre: Networks
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Ed Vaizey is right, Matt Hancock hasn't improved broadband

'Hancock pinched all my ideas' jokes former digi minister

comment  For all digital minister Matt Hancock's rhetoric about 'full-fibre' investment, Blighty's digital infrastructure still remains unchanged.…

via The Register - Data Centre: Networks
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Mythical broadband speeds to plummet in crackdown on ISP ads

If I hear 'up to' one more time...

Broadband providers will only be able to advertise "average" download speeds if at least 50 per cent of customers are able to receive them at peak times, under new rules announced today by the advertising regulator.…

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Sync Files to Amazon Elastic File System Quickly, Easily and Securely with EFS File Sync

You can now use EFS File Sync to efficiently and securely sync files from on-premises or in-cloud file systems to Amazon Elastic File System (Amazon EFS) at speeds of up to 5x faster than standard Linux copy tools. Amazon EFS provides simple, scalable file storage for use with Amazon EC2 instances in the AWS Cloud. 

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Amazon EC2 now offers SQL Server 2017 with Red Hat Enterprise Linux 7.4

SQL Server 2017 is now available for Amazon EC2 instances running Red Hat Enterprise Linux (RHEL) 7.4 as an Amazon Machine Image (AMI) from the AWS Marketplace. With this release, you can now launch RHEL instances on-demand using SQL Server 2017 Enterprise License Included AMIs without having to bring your own license. SQL Server 2017 on RHEL 7.4 AMI is available in all public AWS regions starting today.

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Amazon CloudFront adds six Edge Locations and expands into four new cities

Today, Amazon CloudFront announces the addition of six new Edge Locations to its global content delivery network. The new Edge Locations are located in: Helsinki, Finland; Madrid, Spain; Manchester, England; Denver, Colorado; Newark, New Jersey; and Phoenix, Arizona. 

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Amazon RDS Now Supports Database Storage Size up to 16TB and Faster Scaling for MySQL, MariaDB, Oracle, and PostgreSQL Engines

Starting today, you can create Amazon RDS database instances for MySQL, MariaDB, Oracle, and PostgreSQL database engines with up to 16TB of storage. Existing database instances can also be scaled up to 16TB storage without any downtime.

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FCC boss Ajit Pai emits his net neutrality extermination plan

Just in time for Thanksgiving when no one will notice

Ajit Pai, head of America's communications watchdog the FCC, has unveiled his "plan to repeal the Obama Administration's heavy-handed regulation of the Internet," referred to by critics as an anti-consumer giveaway to large communications companies.…

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Amazon RDS for SQL Server Supports New R4 and M4 Instance Types

You can now launch R4, and db.M4.16xlarge instances types when using Amazon Relational Database Service (RDS) for SQL Server. 

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Amazon RDS for SQL Server Supports Scaling Storage Size

You can now scale the storage of your Amazon RDS for SQL Server database instances up to 16TB. An instance must use the Provisioned IOPS or General Purpose (SSD) storage types to be eligible. Some instances with older storage configurations are not eligible.

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Amazon Simple Notification Service (SNS) Introduces Message Filtering

You can now use message filtering on Amazon Simple Notification Service (SNS) to build simpler and more streamlined pub/sub architectures. Message filtering enables Amazon SNS topic subscribers to selectively receive only a subset of the messages they are interested in, as opposed to receiving all messages published to a topic. This new approach removes the design complexity of implementing message filtering logic in your subscribers, or message routing logic in your publisher systems.  

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Amazon Aurora with PostgreSQL Compatibility Region Expansion

The PostgreSQL-compatible edition of Amazon Aurora is now available in four additional AWS regions: Canada (Central), EU (Frankfurt), Asia Pacific (Sydney), and Asia Pacific (Mumbai). This increases the number of available regions to eight, as the service launched on October 24, 2017 in US East (N. Virginia), US East (Ohio), US West (Oregon), and EU (Ireland).

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AWS Certificate Manager: Easier Certificate Validation Using DNS

Now, you can use AWS Certificate Manager DNS validation to establish that you own or control a domain name when requesting certificates with ACM. Certificates are used to secure network communications and establish the identity of websites over the Internet. Before issuing a certificate for your site, Amazon must validate that you own or control the domain name for your site. Previously ACM supported only email validation, which required the domain owner to receive an email for each certificate request and validate the information in the request before approving it. With DNS validation, you simply write a CNAME record to your DNS configuration to establish ownership or control of your domain name. The ACM management console can configure the DNS records for you if you manage your DNS records with Amazon Route 53. This makes it easy to validate your domain with a few mouse clicks. Once the CNAME record is configured, ACM can automatically renew DNS-validated certificates that are in use (associated with other AWS resources) before they expire, as long as the DNS record remains in place. Renewals are fully automatic and touchless. 

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Introducing AWS Amplify, a declarative JavaScript library for cloud development with mobile or web applications

Today we are releasing AWS Amplify, an Open Source library under Apache 2.0 for developers looking to build cloud connected applications with JavaScript on web or mobile platforms. AWS Amplify is designed to give a declarative interface to client developers looking to perform common actions using cloud services in a scalable and secure manner. These new capabilities allow developers writing JavaScript applications to programmatically apply best practices with common abstractions, ultimately resulting in faster development cycles. Along with the release of AWS Amplify, we are also releasing a comprehensive CLI experience which is fully integrated with AWS Mobile Hub. This CLI experience is designed for developers who are either building applications from scratch or enhancing existing projects with features for the AWS cloud. 

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AWS Mobile introduces a new CLI and redesigned console to simplify building quality Web and React Native apps

Starting today, AWS Mobile adds first class support for Web and React Native, allowing JavaScript (JS) developers to easily develop cloud enabled apps. Previously, web and react native developers needed to manually configure services in the AWS console, download base SDKs, and read documentation just to start interacting with the platform. With today’s launch, JS developers can very easily configure core app features like user sign-in, storage and serverless APIs using the redesigned console and the new AWS Mobile CLI.

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AWS CloudFormation Supports Parameterizing Configurations with StackSets Parameter overrides and EC2 Systems Manager Parameter Store

AWS CloudFormation now allows you to override parameter values by account and region in stack instances. Previously, you could only make changes to StackSets from your original CloudFormation templates. Now, you can override template parameter values when you first create the stack instances, and you can override parameter values for existing stack instances allowing you to specify and customize stack instances based on your requirements.  

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Amazon API Gateway Supports Access Logging

You can now generate access logs in Amazon API Gateway. This is in addition to the detailed execution logs already provided by Amazon CloudWatch for API requests made to your APIs. The access logging feature lets you generate access logs in different formats such as CLF (Common Log Format), JSON, XML, and CSV. The access logs can be fed into your existing analytics or log processing tools so you can perform more in-depth analysis or take action in response to the log data. Any context variable can be used in the access log format.

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Customize Integration Timeouts in Amazon API Gateway

You can now customize the timeout value for API integrations in Amazon API Gateway. You can set the maximum amount of time an integration will run before it returns without a response. This gives you the flexibility to create better error-handling strategies for your APIs, such as using automatic retries with your APIs. You can set a timeout value starting at 50 milliseconds up to 29 seconds. Visit the documentation for more information about API Gateway integrations. 

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Announcing Amazon Kinesis console enhancements

The new Amazon Kinesis management console (see screenshot below) makes it easy for you to learn about real-time analytics and simplifies the console user experience. You can use the new visual learning tools in the console to understand how Kinesis Streams, Kinesis Firehose, and Kinesis Analytics can help you stream real-time data from various data sources to AWS, and then process, analyze, and load the data to data stores. The new console experience also includes a dashboard showing all your Kinesis resources on one screen when you log in. To get started, visit the Amazon Kinesis management console. 

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Announcing a new pricing plan for AWS IoT

We are excited to announce a significant change to AWS IoT pricing that will go into effect January 1, 2018. Previously, AWS IoT charged for the use of connectivity, messaging, Thing Shadow, Thing Registry, and Rules Engine under a bundled pricing plan. The new plan unbundles pricing by charging for these components independently. This allows you to tailor costs around your specific workload, and ensures you only pay for what you use.

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Amazon Chime Now Allows Applications to Post Messages to Chat Rooms Using Incoming Webhooks

Starting today, Amazon Chime, a service that simplifies video conferencing, online meetings, calls and chat, now supports incoming webhooks. Developers can configure their applications to use incoming webhooks to post messages into Amazon Chime chat rooms as soon as updates occur. This enables Amazon Chime chat rooms to become a central hub for real-time team collaboration where participants can be more responsive to messages from important applications, as well as respond to messages from each other. 

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Amazon Lex now available in Europe (Ireland) AWS Region

Amazon Lex is now available in the EU (Ireland) AWS region. 

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New Quick Start: Build Your Security and Analytics Environment on AWS with Palo Alto Networks VM-Series Firewall and Splunk Enterprise

This Quick Start builds an enterprise-class security and analytics environment on the Amazon Web Services (AWS) Cloud, using the Palo Alto Networks VM-Series next-generation firewall, Splunk Enterprise, and the Palo Alto Networks App for Splunk, along with complementary services from AWS. 

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Lambda@Edge Now Supports Content-Based Dynamic Origin Selection, Network Calls from Viewer Events, and Advanced Response Generation

Starting today, you can use three new capabilities with Lambda@Edge that can further help you build personalized content for your viewers while improving latency and simplifying your origin infrastructure. First, with content-based dynamic origin selection, you can route requests to different backend origin servers based on request attributes such as viewer location, viewer device type, HTTP headers, URL path, query string or cookies. Second, you can make remote network calls from Amazon CloudFront viewer-facing events. Third, you can generate binary data from your Lambda@Edge functions which lets you deliver richer, more customized content using Amazon CloudFront. We have also increased the limits for Lambda@Edge functions. You can choose up to 1536MB of memory, deploy larger packages up to 50MB, and implement Lambda@Edge functions with longer timeouts – up to 30 seconds.  

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Amazon Redshift Introduces Result Caching for Sub-Second Response for Repeat Queries

Amazon Redshift improves performance for repeat queries by caching the result and returning the cached result when queries are re-run. 

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Amazon Rekognition announces real-time face recognition, Text in Image recognition, and improved face detection

Amazon Rekognition added three new features today: detection and recognition of text in images; real-time face recognition across tens of millions of faces; and detection of up to 100 faces in challenging crowded photos. Customers who are already using Amazon Rekognition for face verification and identification will experience up to a 10% accuracy improvement in most cases. 

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AWS Shield Adds Advanced DDoS Protection for EC2 and Network Load Balancer

Starting today, you can now use AWS Shield Advanced to get higher levels of protection for your applications running on Amazon Elastic Compute Cloud (EC2) or Network Load Balancer (NLB) against Distributed Denial of Service (DDoS) attacks. Simply enable AWS Shield Advanced on an AWS Elastic IP address attached to an internet-facing EC2 instance or NLB. AWS Shield Advanced will automatically detect the type of AWS resource behind the Elastic IP address and apply the relevant DDoS protections.

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While you're preparing to carve Thanksgiving turkey, the FCC will be slicing into net neutrality

Pai will lay out plan this week, vote in December

Analysis  Ajit Pai, chairman of America's broadband watchdog, today confirmed what we all knew was coming for months now: a move to tear up the Obama-era's rules on network neutrality in the US.…

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Amazon RDS now supports MariaDB Minor Versions 10.1.26 and 10.0.32

Amazon RDS for MariaDB now supports MariaDB minor versions 10.1.26 and 10.0.32 in all AWS Regions. These new versions include a number of fixes and functionality improvements for the MariaDB database engine.

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AWS CodeBuild Adds New Capabilities to SuVirtual Private Cloud Resources and Dependency Caching

Now, AWS CodeBuild supports Amazon Virtual Private Cloud (Amazon VPC) resources. The new capability allows CodeBuild to access VPC resources without being exposed to the public internet. This enables you to use CodeBuild to compile your software code within your VPC and access resources including Amazon Relational Database Service (Amazon RDS), Amazon ElastiCache, Amazon Elastic Compute Cloud (Amazon EC2), Amazon EC2 Container Service (Amazon ECS), as well as any service endpoints that are only reachable from within a specific VPC. To learn more, visit our blog here.

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Introducing the AWS Connected Vehicle Solution

Automotive manufacturers and suppliers can more easily develop and deploy a wide range of innovative connected vehicle services on the AWS Cloud.  

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Now enable Kerberos authentication and EMRFS authorization in Amazon EMR

You can now enable authentication with Kerberos and fine-grained EMRFS authorization for Amazon S3 access on your Amazon EMR clusters. You can use Kerberos to authenticate requests between services running on your cluster, user actions on your cluster, and external client requests from remote services. Amazon EMR will create a MIT KDC on the master node of your cluster, and utilize the open-source Kerberos authentication settings for certain application components on your cluster. Additionally, you can easily enable a cross-realm trust with a Microsoft Active Directory to seamlessly allow users in the directory to authenticate using Kerberos to access and run workloads on a cluster. 

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AWS X-Ray Supports Zoom and Pan Controls

AWS X-Ray now supports the ability to zoom and pan your service map. This allows you to focus on a particular service of interest and visualize service maps with large number of service nodes on a single screen. 

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Digital minister: We're still talking to BT about sorting crap broadband

Matt Hancock blissfully unaware that deal is on brink of collapse

Digital minister Matt Hancock has denied that talks with BT to improve poor internet speeds in 1.4 million rural areas have fallen through.…

via The Register - Data Centre: Networks
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Iran the numbers – and Persian internet is the cheapest in the world

Burkina Faso the most expensive, UK in top third cheapest

Tired of continual price hikes on your broadband deal? Then why not move to Iran? According to a study released today, it has the cheapest broadband in the world (if you're willing to ignore political and social problems...)…

via The Register - Data Centre: Networks
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AT&T wants to bin 100,000 routers, replace them with white boxes

Carrier tries to speed networking innovation with 'Disaggregated Network Operating System'

AT&T has launched an audacious attempt to push the networking industry towards software-defined networking and white-box hardware.…

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Amazon ElastiCache Now Supports the R4 Node Family

Amazon ElastiCache now supports R4 node types. R4 nodes are optimized for latency sensitive and memory intensive workloads. They come in six sizes, providing 12.3GiB to 407GiB of available in-memory capacity. By setting up a 15-shard cluster for Redis, you can scale up to 6.1TiB of in-memory capacity. For Memcached, you can set up a 20-node cluster to support up to 8.14 TiB in-memory workloads. Equipped with the Intel Broadwell processor, and improved networking, R4 node family offers superior performance over the popular R3 node family. 

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Amazon RDS for MySQL and MariaDB Supports R4, T2 and M4 Instance Types

You can now launch R4, db.t2.xlarge, db.t2.2xlarge, and db.m4.16xlarge instances types when using Amazon Relational Database Service (RDS) for MySQL and Amazon RDS for MariaDB.

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Amazon API Gateway Supports Generating SDK in Ruby

You can now generate SDKs for APIs in Ruby with Amazon API Gateway. This is in addition to API Gateway’s support for SDKs in Java, JavaScript, Android and iOS (Swift and Objective-C). The generated Ruby SDK reduces coding complexity for your API’s consumers and it helps them use coding best practices. Using the generated SDKs, your API consumers can automatically utilize already provided support for API keys management, custom or AWS Identity and Access Management (IAM) authentication, automatic and configurable retries with exponential backoff and exception handling. The generated Ruby SDKs are compatible with Ruby 1.9 or later. 

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Amazon launches Secret Region – so secret it's endorsed by the CIA

The rest of us just get a 0.04% improvement in EC2 reliability, to a guaranteed 99.99%

Amazon Web Services has launched a Secret Region – which we know about because the CIA has endorsed it.…

via The Register - Data Centre: Cloud
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AT&T insists it's not sweating US govt block of Time-Warner gobble

'We don't care, in fact look at this letter about how little we care. Really. Please look at it'

AT&T says it is not worried about the possibility of a US government lawsuit derailing its attempts to acquire Time Warner.…

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Support for Apache MXNet, GPU instance types P3 and P2, and Presto integration with the AWS Glue Data Catalog on Amazon EMR release 5.10

You can now use deep learning framework Apache MXNet (0.12.0), GPU instance types P3 and P2, and the AWS Glue Data Catalog with Presto on Amazon EMR release 5.10.0. Apache MXNet is a scalable deep learning framework that allows you to define, train, and deploy deep neural networks. Furthermore, you can preinstall custom machine learning and deep learning libraries on an Amazon Linux Amazon Machine Image (AMI), and create your Amazon EMR clusters with that AMI. Additionally, Amazon EMR now supports Amazon EC2 P3 and P2 instances, EC2 compute-optimized GPU instances, for deep learning and machine learning workloads. Also, you can now use the AWS Glue Data Catalog to store external table metadata for Presto instead of utilizing an on-cluster or self-managed Hive metastore.  

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Introducing the AWS Cost Explorer API

AWS Cost Explorer helps you visualize, understand, and manage your AWS costs and usage over time. This is done via an intuitive interface that enables you to quickly create custom reports (including charts and tabular data) and analyses of your cost and usage data, both at a high level and for highly-specific requests. Starting today, you can directly access the Cost Explorer API, the low-latency ad-hoc query service that powers the Cost Explorer web application. 

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AWS IoT Rules Engine Now Supports Calling Lambda Function from Rule SQL

You can now call a lambda function in the SQL statement of your rule by calling it in the SELECT statement to enrich IoT message data with external services like weather, geo-location, and maps. You can also call a lambda function from the WHERE clause to evaluate a condition with context from external services. For example, you can evaluate if the reported device position lies inside or outside a geographic area by calling an external geo-fencing endpoint like HERE maps (sample) and then triggering an SNS Action if it lies outside the area.

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Amazon QuickSight adds support for Geospatial Visualizations, Tabular Reports, Private VPC Access, Calculations for SPICE datasets in analysis, and HIPAA compliant workloads

As part of our one-year anniversary, we’re pleased to bring a number of new features to QuickSight. Starting today, you can visualize geospatial data using maps, create tabular reports using flat tables in your dashboards, and perform run-time calculations for SPICE data sets in analysis. For high cardinality data, we’ve added an “Others” bucket feature so you can combine the long tails of values into a single category. You can also now create data sets in QuickSight with up to 1000 columns to support wide-table use cases.

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Announcing Amazon Lex integration with Kik messaging platform

Amazon Lex now supports integration with the Kik messaging platform.

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Amazon EC2 now offers application consistent snapshots with Microsoft VSS

Amazon Elastic Compute Cloud (Amazon EC2) now supports Microsoft Volume Shadow Copy Services (VSS) enabled EBS snapshots for Windows Server AMIs. VSS is a Microsoft technology that allows application data to be backed up while applications are still running, by coordinating between user applications that update data on disk and those that back up applications. With this launch, you can now take VSS-enabled EBS snapshots of your running Windows instances without the need to create custom scripts, or shutting down the instances. To read more about this capability go to the AWS documentation.

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AWS CodeCommit Supports Pull Requests

AWS CodeCommit now supports pull requests, which provide a mechanism to request code reviews and discuss code with collaborators. Previously, you had to use tools outside of CodeCommit to request code reviews, which made it difficult to track input and ensure all updates were incorporated. Now, you can use pull requests to enable a workflow where you can request code reviews, reviewers can view the commits and comment on the code, and you can merge code once you have final approval.

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Amazon Connect Adds Automated Outbound Calling, Now Available in Limited Preview

Amazon Connect now allows you to automatically make calls to customers, using the outbound contact API. You can schedule automated calls for appointment reminders or notification calls in response to business events, such as credit card fraud. Enterprise applications like CRM systems can use the outbound contact API when triggered by an event, such as a service outage, to initiate an outbound call using a predetermined contact flow. The contact flow will determine if an agent interaction is required, or if the call is routed to an Amazon Lex chatbot. 

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AWS Trusted Advisor Adds Service Limit Dashboard and CloudWatch Metrics

With Trusted Advisor’s new Service Limit Dashboard, you can now view, refresh, and export utilization and limit data on a per-limit basis, allowing you to proactively monitor and more efficiently plan your use of AWS resources.

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Amazon Redshift Spectrum is Now Available in Four Additional AWS Regions, and Enhances Query Performance in All Available AWS Regions

Amazon Redshift Spectrum is now available in four additional AWS Regions: EU (Frankfurt), Asia Pacific (Sydney), Asia Pacific (Singapore), and Asia Pacific (Seoul). Additionally, large bzip2-compressed files and ORC files are automatically split to enhance query performance in all available AWS Regions. 

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Identify opportunities for cost savings using AWS Cost Explorer’s new Amazon EC2 Reserved Instance purchase recommendations

Starting today, you can access custom Reserved Instance (RI) purchase recommendations based on your Amazon EC2 usage via AWS Cost Explorer. These recommendations are calculated based on your past usage and indicate opportunities for cost savings. 

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Introducing the AWS Connected Vehicle Cloud

Automotive manufacturers and suppliers can more easily develop and deploy a wide range of innovative connected vehicle services on the AWS Cloud.  

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Amazon Redshift Uses Machine Learning to Accelerate Dashboards and Interactive Analysis

Amazon Redshift introduces Short Query Acceleration to speed up execution of short running queries. Short Query Acceleration provides higher performance, faster results, and better predictability of query execution times. 

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The Social Network™ releases its data networking code

Open/R distributed router software goes open source, with Juniper, Arista aboard

Facebook has sent another shiver running up Cisco's spine, by releasing the code it uses for packet routing.…

via The Register - Data Centre: Networks
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nbn™ to ISPs: share your speeds or we'll share 'em for you

nbn™ financials, the speed scandal, and 'what millennials like part 1,096'

NBN Week  Australia's National Broadband Network “speed scandal” was in the news again last week, as nbn™, the company building and operating the network, suggested it should publish its internal speed data to resolve the issue.…

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AWS Storage Gateway adds upload notifications, MIME-type detection, SUSE Linux support and additional features to File Gateway

You can now receive Amazon CloudWatch Events when files that are written to AWS Storage Gateway’s file interface (File Gateway) are uploaded to Amazon S3. You can use these notifications to trigger in-cloud or on-premises automated workflows. For instance, a file upload notification could initiate an API call to start a data processing job using AWS analytics services, such as Amazon Athena, or invoke an AWS Lambda function for transcoding. Alternatively, you can use a file upload notification to make a RefreshCache API call to File Gateways in remote offices, so that on-premises applications can then read the uploaded data, such as reports, files for print presses, code updates or database backup files.

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Amazon Redshift Allows Regular Users to be Granted Access to All Rows in Selected System Tables

Starting today, Amazon Redshift allows Superusers to grant regular users access to all rows in selected system tables and views. 

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Amazon Redshift Improves Performance by Automatically Hopping Queries Without Restarts

Starting today, Amazon Redshift improves query performance by automatically moving read and write queries to the next matching queue without restarting the moved queries. This enhancement to Workload Management enables more efficient use of resources to improve query performance. 

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AWS Database Migration Service Offers Migration Validation

AWS Database Migration Service (DMS) offers two new ways to validate your database migration: pre-migration validation and post-migration data validation. 

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Easily restore an Amazon RDS MySQL database from your MySQL backup

Starting today you can easily restore a new Amazon RDS for MySQL database instance from a backup of your existing MySQL database, including MySQL databases running on Amazon EC2 or outside of AWS. This is done by creating a backup using the Percona XtraBackup tool and uploading the resulting files to an Amazon S3 bucket. You then create a new Amazon RDS DB Instance from the backup files in Amazon S3, directly through the RDS Console or AWS Command Line Interface. 

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Amazon RDS for SQL Server now supports SQL Server 2017 and SQL Server 2016 SP1 CU5

Amazon RDS for SQL Server now supports Microsoft SQL Server 2017 and SQL Server 2016 SP1 CU5 for Express, Web, Standard and Enterprise Editions on the Windows Operating Systems. You can now leverage SQL Server 2017 features such as GraphDB, Automatic Plan Correction, and Resumable Index Rebuilds on your Amazon RDS SQL Server Instances.  

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AWS Config Adds Support for Classic Load Balancers

You can now record configuration changes to Classic Load Balancers (CLB) using AWS Config and track changes to load balancer configuration attributes, such as subnets, security groups, stickiness policies, listeners, and health checks. 

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Spot Fleet now supports Target Tracking and new plug-in for Atlassian Bamboo

Spot Fleet now supports a new type of scaling policy called target tracking scaling policies that you can use to set up dynamic scaling for your application in just a few simple steps. Adding Auto Scaling to your Spot Fleet is one way to maximize the benefits of AWS. Auto Scaling helps you build systems that respond to changes in demand by automatically launching or terminating Amazon EC2 instances based on conditions that you define. This dynamic scaling helps to improve application availability and reduce costs. For example, you can use Auto Scaling to automatically launch EC2 instances for your Spot Fleet when demand increases to help maintain performance, and terminate instances when demand drops to save money.

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Use the New Visual Editor to Create and Modify Your AWS IAM Policies

Today, AWS Identity and Access Management (IAM) made it easier for you to create and modify your IAM policies by using a point-and-click visual editor. You can now use the new visual editor to create and modify your AWS IAM policies in the IAM console. The visual editor guides you through granting permissions using IAM policies without requiring you to author policies in JSON (although you can still author and edit policies in JSON, if you prefer). This update to the IAM console makes it easier to grant least privilege by listing all the supported resource types and request conditions for the AWS service actions you select. Policy summaries identify unrecognized services and actions and permissions errors when you import existing policies, and now you can use the visual editor to correct them. To start using the point-and-click visual editor, navigate to the IAM console. 

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Amazon WorkDocs Adds Additional Capabilities To Manage Your Feedback

You can now resolve comments, organize comments with filters, and disable email notifications for files. This makes it easier to keep track of your feedback, disable the notifications not relevant to you, and focus on the feedback that matters.

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Amazon Aurora now supports Auto Scaling for Aurora Replicas

Starting today, you can use Aurora Auto Scaling to automatically add or remove Aurora Replicas in response to changes in performance metrics specified by you. Aurora Replicas share the same underlying volume as the primary instance and are well suited for read scaling. With Aurora Auto Scaling, you can specify a desired value for predefined metrics of your Aurora Replicas such as average CPU utilization or average active connections. You can also create a custom metric for Aurora Replicas to use it with Aurora Auto Scaling. Aurora Auto Scaling adjusts the number of Aurora Replicas to keep the selected metric closest to the value specified by you. For example, an increase in traffic could cause the average CPU utilization of your Aurora Replicas to go up and beyond your specified value. New Aurora Replicas are automatically added by Aurora Auto Scaling to support this increased traffic. Similarly, when CPU utilization goes below your set value, Aurora Replicas are terminated so that you don't pay for unused DB instances. 

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Big Cable's pillow talk with FCC to forbid US states from writing own net neutrality rules

You've got the authority, big boy, CTIA tells Pai... And such strong arms

The stomach-churning love-fest between the American cable industry and FCC Ajit Pai continues apace with Big Cable now pillow talking the federal regulator into how to prevent individual US states forming their own net neutrality proections.…

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S3 Inventory Adds Apache ORC output format and Amazon Athena Integration

Customers can now query Amazon S3 Inventory with standard SQL language using Amazon Athena, Amazon Redshift Spectrum, and other tools such as Presto, Hive, and Spark. You can easily get started by pointing Amazon Athena to the S3 Inventory report in ORC or CSV format with a few clicks, run ad hoc queries, and get results in seconds. This is available in all AWS Regions where Athena is available. Learn more by visiting our developer guide. 

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AWS Database Migration Service Adds Support for AWS Snowball

AWS Database Migration Service (DMS) now supports installing a local replication agent on-premises and can now migrate data to the AWS cloud with AWS Snowball, a petabyte-scale data transport solution. Snowball uses secure physical appliances to transfer large amounts of data into and out of the AWS cloud.  

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So what does EE's 5G test really signal?

Over-hyped tech inches a step closer... maybe

Mobile operator EE has proudly announced the success of a "breakthrough test" for 5G, but what do these tests signal for future 5G usage?…

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Azure turns on reserved cloudy VMs, without Hotel California clause

Back to capex spending, but refunds offered to those who bail on multi-year commitments

Microsoft's added reserved instances to Azure, with an out-clause for cloudy quitters.…

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New Amazon Connect Contact Flow Logs Provide Customer Interaction Details

Amazon Connect now provides contact flow logs for real-time details about events in your contact flows. Contact flows are used to define the path a customer takes to resolve their issue. You can view the contact flow logs to understand what is happening during the interaction, and quickly identify areas for improvement in your contact center. 

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Amazon Connect Adds Contact Flow Import/Export (Beta)

Amazon Connect contact flow import/export (beta) enables you to import contact flows into, and export contact flows from, your Amazon Connect instance. Contact flows are used to define the path a customer takes to resolve their issue. Now you can easily move your contact flows from a test environment to a production environment, copy them from one region to another as you expand your customer service organization, or share contact flows with others. Exported contact flows can be used to create backup copies and used as version control for your contact flows. 

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Amazon SES introduces email pausing and reputation metrics for configuration sets

Amazon Simple Email Service (SES) introduces two new features that can help to protect your sender reputation: email pausing and configuration set reputation metrics. 

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Amazon Route 53 Releases API to View Service Limits

Beginning today, you can use the Amazon Route 53 API to view your current limits on Route 53 resources such as hosted zones and health checks. The same APIs also return how many of each resource you're currently using. This lets you see how close you are to reaching a service limit at any time.  

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Amazon Connect Adds Agent Event Streams for Insight into Agent Activity

You can now monitor and report on agent activity in your Amazon Connect contact center in real-time, with the data provided by Amazon Connect agent event streams. The data can be used to create dashboards in Amazon Connect that display agent information and activities, integrate the event streams into workforce management (WFM) solutions, and configure alerting tools to notify you about specific agent activity. 

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Announcing ONNX support for Apache MXNet

Open Neural Network Exchange (ONNX), is an open source format to encode deep learning models. The ONNX-MXNet open source Python package is now available for developers to build and train models with other frameworks such as PyTorch, CNTK, or Caffe2, and import these models into Apache MXNet to run them for inference using MXNet’s highly optimized engine. 

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Announcing an increased monthly service commitment for Amazon EC2

Amazon EC2 is announcing an increase to the monthly service commitment in the EC2 Service Level Agreement (“SLA”), for both EC2 and EBS, to 99.99%. This increased commitment is the result of continuous investment in our infrastructure and quality of service. This change is effective immediately in all regions, and is available to all EC2 customers.

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AWS CodeDeploy Supports Local Testing and Debugging

You can now locally test and debug your deployment through the updated AWS CodeDeploy agent. The updated agent is a software package that, when installed on an instance, enables the instance to be used in CodeDeploy deployments and provides a command line interface for troubleshooting. 

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Introducing new instance sizes to the Amazon EC2 X1e Memory Optimized instance family

In September 2017, Amazon Web Services announced the new Amazon EC2 X1e instance family with the launch of the x1e.32xlarge instances. This Amazon EC2 instance size offers 3,904 GiB of DRAM available in four AWS regions, enabling customers to run larger in-memory databases such as SAP HANA. Today, five additional sizes (x1e.xlarge, x1e.2xlarge, x1e.4xlarge, x1e.8xlarge, x1e.16xlarge) of the X1e Memory Optimized instance family are being made available. Offering the highest memory per vCPU and one of the lowest price per GiB memory among Amazon EC2 instance types, the new X1e instance sizes are ideally suited for high performance databases, in-memory databases and other memory intensive enterprise applications.

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Robocall crackdown, choked Lifelines, and pole-climbing: Your new FCC rules roundup

Fresh round of overhauls, and some aren't happy about it

The FCC signed off on a pile of new rules Thursday, including laws that will dictate how telcos handle robocalls, cut access for poor Americans to subsidized phone service, add controversial changes to TV station ownership rules and regulations for fiber cable installation.…

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Announcing AWS OpsWorks for Puppet Enterprise

AWS OpsWorks now supports Puppet Enterprise, offering a fully-managed configuration management service that hosts Puppet Enterprise and maintains Puppet master servers. 

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Australian Broadcasting Corporation leaks data from AWS S3 bucket

'Advance video content' and years of backups dangled in the cloud

The Australian Broadcasting Corporation (ABC) has joined the long list of organisations to leak sensitive data from a poorly secured public-facing Amazon Web Services S3 bucket.…

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Utilization Alerts for Amazon Redshift, Amazon RDS, and Amazon ElastiCache Reservations

AWS Budgets now allows you to set RI utilization alerts for your Amazon Redshift, Amazon RDS, and Amazon ElastiCache reservations, in addition to setting alerts on your Amazon EC2 Reserved Instances.

RI Utilization alerts allow you to set a custom utilization target for one or more reservations pertaining to the same AWS service, and notify you when your reservation utilization drops below that threshold. Reservation utilization tracks the percentage of reserved hours that were used by matching instances, and can be monitored by AWS Budgets at a daily, monthly, quarterly, or yearly level. You can monitor your reservation utilization at an aggregate level (e.g., monthly utilization of your Amazon RDS fleet) or at a granular level of detail (e.g., daily utilization of db.m4.2xlarge instances running in a specific region). From there, you can define up to five notifications. Each notification can be sent to a maximum of ten email subscribers, and can be broadcast to an Amazon Simple Notification Service (Amazon SNS) topic.

To get started with utilization alerts, please access the AWS Budgets dashboard or refer to the Managing your Costs with Budgets user guide.

 

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Deploy Informatica Secure@Source on the AWS Cloud with New Quick Start

This new Quick Start automatically deploys Secure@Source, a data security intelligence and analytics tool from Informatica, on the Amazon Web Services (AWS) Cloud. 

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Sparks fly as Databricks buddies up with Microsoft in the cloud

Analytics biz now a first-party service on Azure

Databricks and Microsoft are getting cosy in the cloud, in a move that will give the Spark-wrangling company access to a new set of customers.…

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Amazon ElastiCache for Redis In-Transit and At-Rest Encryption Now Available in Additional Regions

Amazon ElastiCache for Redis in-transit and at-rest encryption is now available in AWS GovCloud (US), EU (Frankfurt), EU (London), Asia Pacific (Singapore), Asia Pacific (Tokyo), Asia Pacific (Sydney), Asia Pacific (Seoul), and Asia Pacific (Mumbai) regions. This announcement brings support for ElastiCache for Redis encryption to all AWS regions except the Asia Pacific (Beijing) region. 

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BT boss: Yeah, making a business case for 5G is hard

Also, we’ve not delayed the spectrum auction. Anyway, Three started it!

Chief exec of BT, Gavin Patterson, has admitted the telco is struggling to make a business case for 5G investment, given the huge costs of getting the network off the ground.…

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Hardware-driven security in the hybrid cloud

Chips to the rescue

Sponsored  One of the greatest barriers to broader cloud adoption is security.…

via The Register - Data Centre: Cloud
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Hardware headwinds hurt Cisco as revenue dips two per cent in Q1

Sales down, orders up, hopes pinned on intent-based networking (A.K.A. a dash of AI)

Cisco suffered a decline in revenue for Q1 2018, weighed down by ongoing weakness in its switch and router business.…

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New normalized units, instance family, and region information in the AWS Cost & Usage Report

The AWS Cost & Usage Report contains the most comprehensive set of AWS cost and usage data available, including metadata about AWS services, pricing, and reservations. Starting today, you can view your normalized usage and normalization factor information for your Amazon EC2 and Amazon RDS On-Demand instance usage, as well as for instance usage covered by Regional and Zonal Reserved Instances. These columns allow you to easily calculate your usage in normalized units, which can help you identify opportunities for savings.

Additionally, you can now access information related to the region and instance family associated with your usage line items. These columns allow you to group your cost and usage by a specific region (e.g., US East (Ohio)) or instance family (e.g., m4) to help you dive deeper into your underlying cost drivers and usage trends.

To learn more, please reference the Understanding your Usage with Billing Reports user guide or visit the AWS Cost & Usage Reporting webpage.

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AWS Config Adds Support for AWS WAF and Amazon CloudFront

AWS Config adds support for the following resource types: 

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Amazon WorkSpaces Now Supports Four Monitors

You can now use up to four monitors with Amazon WorkSpaces when accessing your WorkSpace from a Windows or Apple Mac computer. Working with four monitors provides additional screen space, which makes it easier to multitask, and lets you keep relevant information always visible. Amazon WorkSpaces also now supports 4K Ultra HD resolution on up to two monitors, which lets you see more information on each screen and in greater detail. 

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Now available in 14 AWS Regions - Amazon Polly Adds New Korean Language Support and an Indian English Voice

To better serve a global audience, Amazon Polly announces the expansion to nine additional AWS Regions, as well as the release of Korean language support, and a new Indian English voice to our Text-to-Speech portfolio. Listen to the voice introductions from Seoyeon, a new Korean female voice, and Aditi, a new Indian English female voice.

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New AWS Deep Learning AMIs for Machine Learning Practitioners

We’re pleased to announce the availability of two new versions of the AWS Deep Learning AMIs. The first, a Conda-based AMI, available in Amazon Linux and Ubuntu versions, is for developers who need ready-to-run deep learning environments with Python support. The Conda-based AMI comes packaged with latest official releases of the following deep learning frameworks: Apache MXNet 0.12 with Gluon, TensorFlow 1.4, Caffe2 0.8.1, PyTorch 0.2, CNTK 2.2, Theano 0.9, Keras 1.2.2 and Keras 2.0.9.  

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Amazon EC2 F1 Instances are now available in AWS GovCloud (US)

Amazon EC2 F1 instances are now available in the AWS GovCloud (US) region.  

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AWS Step Functions adds Support for Updating State Machines

AWS Step Functions now supports updating state machines, allowing you to easily change your state machine definitions and configurations. AWS Step Functions makes it easy to coordinate the components of distributed applications and microservices using visual workflows. Building applications from individual components that each perform a discrete function lets you scale and change applications quickly. Step Functions is a reliable way to coordinate components and step through the functions of your application. 

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Ads watchdog tells Plusnet: There's no way unlimited business broadband costs £4.50

If that were the case, you might actually Do Us Proud

Two Plusnet adverts selling business broadband have been ruled "misleading" by the Advertising Standards Agency.…

via The Register - Data Centre: Networks
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TalkTalk sees red after chucking £75m on restructuring bonfire

Who wants to buy a phone biz?

Beleaguered ISP TalkTalk's half-year results have plunged into the red, reporting pre-tax losses of £75m due to major restructuring costs.…

via The Register - Data Centre: Networks
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Amazon ECS Introduces AWSVPC Networking Mode for Containers to Support Full Networking Capabilities

Tasks running on Amazon EC2 Container Service (Amazon ECS) can now take advantage of AWSVPC mode for container networking. This new mode allocates an elastic networking interface to each running task, providing a dynamic private IP address and internal DNS name. This simplifies container networking operations, allowing tasks to run with full networking features on AWS, just like EC2 instances. 

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Euro telco standards wonks publish third iteration of open source orchestrator

ETSI goes MANO et MANO et MANO for better NFV

The European Telecommunications Standards Institute (ETSI) has published the third release of OSM, its open source management and orchestration (MANO) stack for network function virtualisation.…

via The Register - Data Centre: Networks
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AWS Elastic Beanstalk Supports Amazon Linux 2017.09, C5 and P3 Instance Types, and Python 3.6

AWS Elastic Beanstalk now supports Amazon Linux AMI 2017.09, C5 and P3 Instance Types, and Python 3.6. 

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Introducing additional block storage for Amazon Lightsail

We are excited to announce the availability of Amazon Lightsail block storage that allows customers to extend their Lightsail instances with additional solid state drive (SSD) -backed storage disks for $0.10 per GB-month. With block storage, customers can attach performant, secure storage disks to their Lightsail instances with just a few clicks. With Lightsail block storage, users can now further customize their instances and scale their applications at a low, predictable price.

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Amazon WorkDocs Drive Is Now Available for Microsoft Windows in Limited Preview

Amazon WorkDocs Drive is now available for Microsoft Windows in limited preview. With Amazon WorkDocs Drive, all of your files are available in Windows File Explorer on-demand, and are not stored locally. You can use Amazon WorkDocs Drive as your personal home drive, and no longer need to use network file shares for your team’s home drive.

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View and Filter Amazon ECS Services

Amazon EC2 Container Service (Amazon ECS) now allows you to to view and filter services in the AWS management console. 

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