Podcasts about aws greengrass

Jon Turow is a partner at Madrona, a VC firm that has invested in amazing companies like OctoML, HighSpot, Fixie, Clari, Runway, UiPath, and many more. He holds 26 patents! Most recently, he led the product teams for AWS Computer Vision AI services, including Amazon Textract and Amazon Rekognition. He wrote the original product and business plans for AWS IoT and AWS Greengrass, which extend AWS services to run locally on edge devices. Prior to Amazon, he co-founded a cloud telephony startup. He holds a bachelor's from Wharton and an MBA from Kellogg. In this episode, we cover a range of topics including: - The Generative AI stack- Application frameworks for developers- Using a combination of multiple foundation models- Data tooling for AI applications- Making LLMs faster/better/cheaper- The Android moment of AI- Open source AI opportunities- AI copilots for software development- What use cases within AI infrastructure are exciting to youJon's favorite book: Night Flight (Author: Antoine de Saint-Exupéry)--------Where to find Prateek Joshi: Newsletter: https://prateekjoshi.substack.com Website: https://prateekj.com LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19 Twitter: https://twitter.com/prateekvjoshi 

Foojay community members and beyond discuss embedded Java:James Gosling, creator of Java and embedded enthusiast. Distinguished engineer of AWS GreenGrass and former Liquid Robotics, an autonomous ocean vehicle powered by water.Frank Delporte, engineer with Toadi, an autonomous lawn-mowing robot (no wires) and Pi4J contributor of Raspberry-pi based robots.Johan Vos, founder of Gluon, helping make fully cross-platform applications where a single JavaFX codebase runs natively on embedded, iOS, Android, PCs, and browsers.Erik Costlow, developer relations for Contrast Security, locating security flaws in backend systems. Developer of home fuel/gas sensors.Topics:Java in Education: Combining Java with Rasperry Pi and the Pi4J LibraryDiscussion topics including:How Java was used in the ocean and how it makes complex problems possible.The speed of garbage collectors versus the speed of shark attacks (GC wins).Quick prototypes with Raspberry Pi, scaling through AWS GreenGrass.

Quali sono le sfide di business e le sfide tecnologiche di un progetto IoT? Quali casi d'uso sono emersi negli ultimi anni e quali servizi e strumenti mette a disposizione AWS sul fronte IoT? Come si configurano e mettono in sicurezza i dispositivi su larga scala? E come si analizzano i dati generati dai dispositivi? In questo episodio ospito un collega di AWS Italia, Andrea Prosperi. Parleremo di Internet of Things, di microcontrollori, di AWS Greengrass, FreeRTOS e tanto altro. Link: AWS IoT Core. Link: FreeRTOS. Link: AWS Partner Device Catalog.

0:00 Introduction 2:00 Community Updates 5:30 FrameworX University Launch Event

0:00 Introduction 2:00 Community Updates 5:30 FrameworX University Launch Event

Industrial IoT is professed to open up tremendous opportunities for industrial automation, analytics, quality control, and predictive maintenance. Tune in to this episode where Vinayak, CTO at Synerzip, discusses a case study with our guest, Parag Vaidya, Technical Lead and IoT expert, on how industrial IoT solved a real-world challenge in the automobile industry. They discuss the use of tools like Raspberry Pi cameras, python, and AWS Greengrass.

Satyen Yadav serves as the Chief Technology Officer and head of software development for Boeing Digital Solutions & Analytics. He manages a global organization responsible for all external‐facing software development in support of digital aviation business. He is responsible for creating the vision and direction for digital product architecture, agile development methodologies, cloud service architecture, and security practices. Satyen is also responsible for providing industry technology leadership for airlines, MROs, and other commercial aviation and regulatory agencies. Before joining Boeing, Satyen was General Manager at Amazon Web Services and led the global product, software engineering, and P&L portfolio for the Internet of Things (IoT) cloud‐to‐edge, Machine Learning at the edge, and edge computing services. His team developed and launched many innovative service offerings including one of the world's most innovative edge computing platforms called AWS Greengrass, Amazon FreeRTOS – an open source IoT OS for building intelligent embedded systems, AWS IoT 1‐Click ‐ a turnkey service for customers wanting fast IoT results with ready‐to‐deploy devices and pre‐built cloud services, and machine learning at the edge service. These services are available globally and have thousands of active developers and customers from many industries. Before joining Amazon, he was General Manager of IoT and Wearable Solutions at Intel Corporation and led a global organization to deliver hardware and software solutions for IoT and wearable devices. Before this, he held global leadership positions in engineering and business functions at Intel and helped establish new businesses in wireless networking and cybersecurity areas. Satyen holds an MBA degree from Northwestern University (Kellogg) and a master’s degree in Computer Science from Iowa State University. Satyen was named one of The World's Top 50 Cloud and Edge Computing Influencers (AMERICAS50 and EDGE50), by Data Economy in 2018. He holds over 20 patents in distributed & cloud computing, networking, and Internet security innovations.  

IoT devices often reside in environments where many people can access them. Join us to learn what you can do to protect the data and credentials on IoT devices when they are in the field and understand common attack vectors for IoT devices. Hear from our APN partner Zymbit on how their hardware-based security components can be integrated with AWS Greengrass and AWS IoT.

The AWS suite of managed services for IoT enables companies to quickly and easily deploy devices to the edge and synchronize their industrial time-series data from multiple sites to the AWS Cloud, where advanced analytics and machine learning can generate valuable insights about their business. In this session, learn how EDF Renewables used AWS Greengrass, AWS IoT Core, AWS IoT Analytics, and AWS Lambda to facilitate the collection, aggregation, and quality assurance of operational data from solar installations. Hear how working with AWS Professional Services transformed its approach to product development, and learn what challenges and solutions came with choosing leading-edge services form AWS.

With AWS Greengrass, you can bring local compute, messaging, data caching, sync, and machine-learning inference capabilities to edge devices. Join us in this session to learn about new features that extend the capabilities of AWS Greengrass devices.

The overwhelming majority of today's industrial machines is not internet-ready. This is because many industrial machines lack connectivity or have proprietary or industry-specific interfaces. The value of these machines is in their access to data and metadata that can be used to unlock new business opportunities. In this session, we provide a detailed view into how to use AWS Greengrass and AWS Lambda to connect machines with industrial interfaces, such as OPC UA, Modbus, Ethernet/IP, and EuroMap63. We also walk you through a demonstration and show you how to connect to industrial machines and provide data and metadata at the edge and in the cloud.

Whether it's connected cars, smart home devices, or industrial applications, IoT applications are rapidly becoming more intelligent. Edge computing is helping lead this transformation as IoT devices not only collect and transmit data, but also perform predictive analytics and respond to local events, even without cloud connectivity. In this session, learn about ML inference at the edge, why it matters, and how to use it to build intelligent IoT applications. Through customer use cases, we demonstrate how to use AWS Greengrass to locate cloud-trained ML models, deploy them to your AWS Greengrass devices, enable access to on-device computing power, and apply the models to locally generated data without connection to the cloud.

Edge computing is all about moving compute power to the source of the data instead of having to bring it to the cloud. The edge is a fundamental part of IoT, and it is not only about connecting things to the internet. In this sesssion, we discuss how AWS Greengrass, which is an IoT edge software, can power devices small and large, from a sensor all the way to a wind turbine. With AWS Greengrass, these IoT devices can securely gather data, keep device data in sync, and communicate with each other while still using the cloud for management, analytics, and durable storage. Join us to learn more about the edge of IoT.

Edge computing is all about moving compute power to the source of the data instead of having to bring it to the cloud. The edge is a fundamental part of IoT, and it is not only about connecting things to the internet. In this sesssion, we discuss how AWS Greengrass, which is an IoT edge software, can power devices small and large, from a sensor all the way to a wind turbine. With AWS Greengrass, these IoT devices can securely gather data, keep device data in sync, and communicate with each other while still using the cloud for management, analytics, and durable storage. Join us to learn more about the edge of IoT.

In this session, learn how to use AWS IoT services to build devices that can be used in regulated industries, like healthcare and pharma manufacturing. Come hear from AWS solution architects about how you can use the AWS IoT Core to enable your devices, services like AWS Greengrass to build devices that have local compute, messaging, data caching, sync, and machine learning inference capabilities and AWS IoT Analytics to run sophisticated analytics on massive volumes of IoT data without having to worry about all the cost and complexity typically required to build your own IoT analytics platform. You will also hear about how you can set up the fine-grained access control, auditability, and automated guardrails necessary for the creation and maintenance of regulated workloads following Good Laboratory, Clinical, and Manufacturing Practices (GxP) and other industry standards and ISOs.

Demand for new products, lower prices, and higher quality drives manufacturers to invest in tools that can help them compete in a global marketplace. The availability of IoT data and edge computing is helping manufacturers create new business models, add new functionality into existing products, create more accurate maintenance predictions, and optimize product design. In this session, we explore how AWS IoT, AWS Greengrass, and machine learning (ML) impact product design and production. Topics include: IoT, secondary sensing, IT vs. OT networks, ML at the edge, and digital twin. We discuss AWS services like AWS IoT, AWS IoT Analytics, AWS Greengrass, and Amazon SageMaker, and we describe both AWS Partner Network (APN) Technology Partner solutions and industry-specific AWS reference architectures.

The transformation of the auto industry from manufacturers to mobility providers is centered on seamlessly and safely connecting vehicles to the outside world. In this session, we discuss how customers are using AWS for a variety of connected vehicle use cases. Leave this session with source code, architecture diagrams, and an understanding of how to use the AWS connected vehicle reference architecture to build your own prototypes. Also learn how companies leverage Amazon services such as Alexa, AWS IoT, AWS Greengrass, AWS Lambda, and Amazon Kinesis Data Analytics to rapidly develop and deploy innovative mobility services. Learn how to use new enhancements in your architectures, including the IoT Device Simulator, a scalable, simulated vehicle, load generation tool, as well as the AWS IoT Framework for Automotive Grade Linux (AGL), an integrated build tool for AGL that includes the AWS IoT Device SDK and AWS Greengrass.

Video-based tools have enabled advancements in computer vision, such as in-vehicle use cases for AI. However, it is not always possible to send this data to the cloud to be processed. In this session, learn how to train machine learning models using Amazon SageMaker and deploy them to an edge device using AWS Greengrass, enabling you process data quickly at the edge, even when there is no connectivity.

In this latest episode of AWS TechChat, hosts Olivier and Dean discuss how AWS enables you to innovate quickly with the latest from AWS PrivateLink, Amazon CloudFront, VPC endpoints, AWS Greengrass, AWS Snowball Edge, AWS Fargate, Amazon SageMaker and Amazon Transcribe.

With the GA launch of AWS Greengrass and bundled support for embedded Lambda Compute in Snowball Edge appliances, AWS is broadening the scope of opportunity for customers with varying edge computing needs. Simon speaks with Todd Varland and Ian Perez Ponce about what "edge computing" really means and the emerging use cases they see across a range of industry sectors. They also discuss the value Snowball Edge delivers as a hybrid platform capable of providing ephemeral compute resources and petabyte-scale storage virtually anywhere. Shownotes: Get Started with AWS Greengrass: https://bit.ly/learngg AWS Snowball Edge (including torture-test video!): https://aws.amazon.com/snowball-edge

How can you manage preventative maintenance without having to learn low level SCADA languages? Simon speaks with Shane Baldacchino (Solutions Architect, AWS) about applying AWS Greengrass, AWS Step Functions and AWS Lambda@Edge. Watch Shane’s AWS DevDay Session: https://aws.amazon.com/devday/australia/on-demand-2017/ AWS IoT Blog: https://aws.amazon.com/blogs/iot/

AWS re:INVENT 2017 - IoT Links AWS IoT Core AWS Greengrass AWS IoT Device Management AWS IoT Device Defender – Secure Your IoT Fleet AWS IoT Analytics: Delivering IoT Analytics AWS Greengrass ML Inference Amazon FreeRTOS AWS IoT 1-Click

AWS re:Invent 2017についてnishigori、つばさと話しました。 AWS re:Invent AWS re:Invent 2017 Keynote: Andy Jassy - YouTube Amazon EKS - Highly available and scalable Kubernetes service Introducing AWS Fargate - Run Containers without Managing Infrastructure Amazon SageMaker | Build, train, and deploy machine learning models at scale Twitter | MCL345 - NEW LAUNCH! Integrating Amazon SageMaker into your Enterpriseにいる … Accelerate Machine Learning with Amazon SageMaker | All Things Distributed Using Your Own Training Algorithms | Amazon SageMaker Amazon EC2 Bare Metal Instances with Direct Access to Hardware Amazon DynamoDB Update - Global Tables and On-Demand Backup AWS DeepLens DeepLensはAWSの新サービスてんこ盛りデバイスだった AWS DeepLens - Get Hands-On Experience with Deep Learning With Our New Video Camera GitHub - aws-samples/reinvent-2017-deeplens-workshop: A reference Lambda function that predicts image labels for a image using a MXNet built deep learning model AWS GreenGrass Greengrass Bootcamp - Basic Introducing Amazon Kinesis Video Streams The Non-Profit Hackathon | AWS re:Invent Amazon GuardDuty | Intelligent threat detection and continuous monitoring to protect your AWS accounts and workloads. AWS Lambda Edge Workshops Lab 3: Simple API | Lambda@Edge Workshop AWS EC2 Virtualization 2017 | Brendan Gregg’s Blog Announcing Amazon EC2 Bare Metal Instances (Preview) VMware Cloud on AWS Amazon Pinpoint Alexa for Business | Empower your organization with Alexa Amazon Transcribe | Automatic speech recognition Introducing Amazon Translate – Real-time Language Translation Amazon Comprehend | Discover insights and relationships in text DEEP LEARNING SUMMIT AWS メディアサービス | 動画ワークフローをクラウド上で構築する もうre:Invent 2017のVideoがちらほらあがってきているようです。YouTube / AWS re:Invent 2017 | Breakout Sessions

Simon takes you through even more news from re:Invent 2017! Shownotes: Announcing Alexa for Business: Using Amazon Alexa’s Voice Enabled Devices for Workplaces - AWS News Blog | https://aws.amazon.com/blogs/aws/launch-announcing-alexa-for-business-using-amazon-alexas-voice-enabled-devices-for-workplaces/ AWS Lambda Doubles Maximum Memory Capacity for Lambda Functions | https://aws.amazon.com/about-aws/whats-new/2017/11/aws-lambda-doubles-maximum-memory-capacity-for-lambda-functions/ Set Concurrency Limits on Individual AWS Lambda Functions | https://aws.amazon.com/about-aws/whats-new/2017/11/set-concurrency-limits-on-individual-aws-lambda-functions/ AWS CloudTrail Adds Logging of Execution Activity for AWS Lambda Functions | https://aws.amazon.com/about-aws/whats-new/2017/11/aws-cloudtrail-adds-logging-of-execution-activity-for-aws-lambda-functions/ AWS Lambda Introduces Enhanced Console Experience | https://aws.amazon.com/about-aws/whats-new/2017/11/aws-lambda-introduces-enhanced-console-experience/ Get Ready for the AWS Serverless Application Repository - AWS News Blog | https://aws.amazon.com/blogs/aws/aws-serverless-app-repo/ Migrate Hyper-V VMs to AWS with AWS Server Migration Service | https://aws.amazon.com/about-aws/whats-new/2017/11/migrate-hyper-v-vms-to-aws-with-aws-server-migration-service/ AWS Cloud9 – Cloud Developer Environments - AWS News Blog | https://aws.amazon.com/blogs/aws/aws-cloud9-cloud-developer-environments/ Announcing New AWS Deep Learning AMI for Microsoft Windows | https://aws.amazon.com/about-aws/whats-new/2017/11/announcing-new-aws-deep-learning-ami-for-microsoft-windows/ Amazon API Gateway Supports Endpoint Integrations with Private VPCs | https://aws.amazon.com/about-aws/whats-new/2017/11/amazon-api-gateway-supports-endpoint-integrations-with-private-vpcs/ Announcing Support for Inter-Region VPC Peering | https://aws.amazon.com/about-aws/whats-new/2017/11/announcing-support-for-inter-region-vpc-peering/ Introducing Launch Templates for Amazon EC2 instances | https://aws.amazon.com/about-aws/whats-new/2017/11/introducing-launch-templates-for-amazon-ec2-instances/ T2 Unlimited – Going Beyond the Burst with High Performance - AWS News Blog | https://aws.amazon.com/blogs/aws/new-t2-unlimited-going-beyond-the-burst-with-high-performance/ Introducing Spread Placement Groups for Amazon EC2 | https://aws.amazon.com/about-aws/whats-new/2017/11/introducing-spread-placement-groups-for-amazon-ec2/ Amazon Lightsail adds load balancers with integrated certificate management | https://aws.amazon.com/about-aws/whats-new/2017/11/amazon-lightsail-adds-load-balancers-with-integrated-certificate-management/ Keeping Time With Amazon Time Sync Service - AWS News Blog | https://aws.amazon.com/blogs/aws/keeping-time-with-amazon-time-sync-service/ Sign Up for the Preview of Amazon Aurora Multi-Master | https://aws.amazon.com/about-aws/whats-new/2017/11/sign-up-for-the-preview-of-amazon-aurora-multi-master/ In The Works – Amazon Aurora Serverless - AWS News Blog | https://aws.amazon.com/blogs/aws/in-the-works-amazon-aurora-serverless/ Over-the-air updates, access to local resources, and OPC-UA industrial protocol adapter now available on AWS Greengrass | https://aws.amazon.com/about-aws/whats-new/2017/11/over-the-air-updates-access-to-local-resources-and-opc-ua-industrial-protocol-adapter-now-available-on-aws-greengrass/ Ready-to-Use Managed Rules Now Available on AWS WAF | https://aws.amazon.com/about-aws/whats-new/2017/11/ready-to-use-managed-rules-now-available-on-aws-waf/

In this presentation, we will take a deeper look at the newly announced Amazon FreeRTOS. Amazon FreeRTOS (a:FreeRTOS) is an operating system for microcontrollers that makes small, low-power edge devices easy to program, deploy, secure, connect, and manage. Amazon FreeRTOS is based on the FreeRTOS kernel, a popular open source operating system for microcontrollers, and extends it with software libraries that make it easy to securely connect your small, low-power devices to AWS cloud services like AWS IoT Core or to more powerful edge devices and gateways running AWS Greengrass.

What is the future for IoT in retail fulfilment and logistics? We discuss retail use cases from Amazon.com, which has a global network of over 150 fulfillment centers with increasing levels of automation. To create more flexible designs and increase the pool of suppliers to choose from, Amazon developed a Machine as a Service framework based on ANSI/ISA-85, allowing Amazon software systems to be vendor agnostic. This framework now extends to incorporate AWS IoT technologies like Amazon Kinesis, AWS Lambda, and AWS Greengrass. Amazon can swap machines with the same functionality without changing the interface. Amazon.com can now create a virtual fulfilment center within Amazon EC2 to test software deployments before the actual building is completed. 

This is a 400 level session that will discuss how customers can use Amazon FreeRTOS on microcontrollers with Greengrass at the edge. It will walk through connecting your devices running Amazon FreeRTOS, how to connect devices to Greengrass, and how these two services can work together to solve customer use cases.  We will also cover security and authorization across Amazon FreeRTOS and Greengrass.

AWS Greengrass extends AWS onto your devices, so they can act locally on the data they generate while still taking advantage of the cloud.  In this session, we discuss the features and development languages of AWS Greengrass that let you build powerful edge compute applications.  You'll also hear directly from Greengrass customers in multiple industries.

This session provides a technical overview of a new-generation core IoT platform, designed and implemented by Enel in partnership with AWS IoT. The core IoT platform provides a single architecture and a common set of services that will be adopted by existing and future IoT applications across different business units at Enel. We analyze use cases with a live showcase of platform capabilities. We also demonstrate how the core platform enables Enel to build resilient and scalable business solutions by leveraging existing and leading-edge AWS services, such as the AWS IoT Device Gateway, AWS IoT Device Shadow, and AWS Greengrass.

Autonomous cars need to identify road signs in real time, drones need to recognize objects with or without network connectivity. In this breakout session, you will learn what is machine learning (ML) inference at the edge and why it matters. We will show you how to use AWS Greengrass to locate cloud trained machine learning models, deploy them to your Greengrass devices, enable access to on-device GPU or FPGA, and apply the models to locally generated data without a need for connection to the cloud.

AWS Greengrass provides a wide range of opportunities from IoT gateway applications to building systems like those with microservice architectures. In this session, we first evaluate how AWS Greengrass fits into OEM, ODM, and IT service delivery models. We then wade into a gentle overview of AWS Greengrass and how it interoperates with AWS IoT and other AWS services. We walk through several key AWS Greengrass distributed architectures. Next, to help you accelerate your solution using AWS Greengrass, we discuss how AWS Greengrass fits into the AWS Cloud development and delivery model. The talk wraps up with a demonstration of AWS Greengrass facilitating communication between a closed machine to machine (M2M) network and AWS IoT.

The Internet of Things (IoT) keeps evolving, and there's a critical need for high-speed data processing, analytics, and reduced latency at the edge. Meeting the needs of these systems that leverage a distributed architecture to bring compute resources to the edge and the cloud is essential. A cloud-only model might not be applicable for time-sensitive operations or where network connectivity is poor. Also, connecting every device to the cloud and sending raw data over the internet can have privacy, security, and legal implications, especially for sensitive data. Learn how AWS extends AWS Greengrass to devices, so they can act locally on data and use the cloud for management, analytics, and durable storage.

Interested in learning how to integrate the Internet of Things into your advertising platform and combine it with AWS Greengrass, AWS Lambda, Amazon DynamoDB, and Amazon API Gateway to send context-aware advertisements to users at the point of buying? In this session, Mobiquity, the leader in digital engagements servicing the world's top brands, and their Innovation Partner Flomio discuss how they've been able to use AWS to create compelling digital experiences for their clients. We deep-dive on the technology behind Mobiquity's innovative shopping system that uses RFID, Bluetooth, captive Wifi, and a mobile app to provide real-time context for understanding how and where your customers interact with your products and services, allowing you to better tailor your ads to their particular preferences.

Today's trends in auto technology are all about connecting cars and their occupants to the outside world in a seamless and safe manner. In this session, we discuss how automotive companies are leveraging AWS for a variety of connected vehicle use cases. You'll leave this session with source code, architecture diagrams, and an understanding of how to apply the AWS Connected Vehicle Reference Architecture to build your own prototypes. You'll also learn how car companies can leverage Amazon services such as Alexa and AWS services such as AWS IOT, AWS Greengrass, AWS Lambda and Amazon API Gateway to rapidly develop and deploy innovative connected vehicle services.

Simon takes a walk through LOTS of the updates that have been happening for AWS Customers. Shownotes New – Per-Second Billing for EC2 Instances and EBS Volumes - AWS Blog | https://aws.amazon.com/blogs/aws/new-per-second-billing-for-ec2-instances-and-ebs-volumes/ Amazon Virtual Private Cloud (VPC) now allows customers to expand their existing VPCs | https://aws.amazon.com/about-aws/whats-new/2017/08/amazon-virtual-private-cloud-vpc-now-allows-customers-to-expand-their-existing-vpcs/ New – Descriptions for Security Group Rules - AWS Blog | https://aws.amazon.com/blogs/aws/new-descriptions-for-security-group-rules/ New – Stop & Resume Workloads on EC2 Spot Instances - AWS Blog | https://aws.amazon.com/blogs/aws/new-stop-resume-workloads-on-ec2-spot-instances/ Amazon VPC NAT Gateways now support Amazon CloudWatch Monitoring and Resource Tagging | https://aws.amazon.com/about-aws/whats-new/2017/09/amazon-vpc-nat-gateways-now-support-amazon-cloudwatch-monitoring-and-resource-tagging/ AWS VPN Update – Custom PSK, Inside Tunnel IP, and SDK update | https://aws.amazon.com/about-aws/whats-new/2017/10/aws-vpn-update-custom-psk-inside-tunnel-ip-and-sdk-update/ Elasticsearch 5.5 now available on Amazon Elasticsearch Service | https://aws.amazon.com/about-aws/whats-new/2017/09/elasticsearch-5_5-now-available-on-amazon-elasticsearch-service/ Amazon Route 53 Traffic Flow Announces Support For Geoproximity Routing With Traffic Biasing | https://aws.amazon.com/about-aws/whats-new/2017/09/amazon-route-53-traffic-flow-announces-support-for-geoproximity-routing-with-traffic-biasing/ New Network Load Balancer – Effortless Scaling to Millions of Requests per Second - AWS Blog | https://aws.amazon.com/blogs/aws/new-network-load-balancer-effortless-scaling-to-millions-of-requests-per-second/ Now Available – EC2 Instances with 4 TB of Memory - AWS Blog | https://aws.amazon.com/blogs/aws/now-available-ec2-instances-with-4-tb-of-memory/ Use OpenCL Development Environment with Amazon EC2 F1 FPGA Instances to accelerate your C/C++ applications, also F1 instances are now available in US West (Oregon) and EU (Ireland) Regions | https://aws.amazon.com/about-aws/whats-new/2017/09/use-opencl-development-environment-with-amazon-ec2-f1-fpga-instances-to-accelerate-your-c-c-plus-plus-applications-also-f1-instances-are-now-available-in-us-west-oregon-and-eu-ireland-regions/ Announcing: React Native Starter Project with One-Click AWS Deployment and Serverless Infrastructure - AWS Mobile Blog | https://aws.amazon.com/blogs/mobile/announcing-react-native-starter-project-with-one-click-aws-deployment-and-serverless-infrastructure/ Announcing enhancements to the Amazon Lex test console | https://aws.amazon.com/about-aws/whats-new/2017/09/announcing-enhancements-to-the-amazon-lex-test-console/ Announcing support for synonyms and slot value validation on Amazon Lex | https://aws.amazon.com/about-aws/whats-new/2017/08/announcing-support-for-synonyms-and-slot-value-validation-on-amazon-lex/ Now Specify Request Level Attributes with Amazon Lex | https://aws.amazon.com/about-aws/whats-new/2017/09/now-specify-request-level-attributes-with-amazon-lex/ New Amazon Lex Built-in Slot Types for Phone numbers, Speed, and Weight, Available in Preview | https://aws.amazon.com/about-aws/whats-new/2017/09/new-amazon-lex-built-in-slot-types-for-phone-numbers-speed-and-weight-available-in-preview/ Export your Amazon Lex chatbot to the Alexa Skills Kit | https://aws.amazon.com/about-aws/whats-new/2017/09/export-your-amazon-lex-chatbot-to-the-alexa-skills-kit/ Apple Core ML and Keras Support Now Available for Apache MXNet - AWS AI Blog | https://aws.amazon.com/blogs/ai/apple-core-ml-and-keras-support-now-available-for-apache-mxnet/ AWS CodePipeline now provides notifications on pipeline, stage, and action status changes | https://aws.amazon.com/about-aws/whats-new/2017/09/aws-codepipeline-now-provides-notifications-on-pipeline-stage-and-action-status-changes/ Amazon Pinpoint Introduces Two-Way Text Messaging | https://aws.amazon.com/about-aws/whats-new/2017/09/amazon-pinpoint-introduces-two-way-text-messaging/ Amazon Cognito Integrates with Amazon Pinpoint to Add Analytics for User Pools and Enrich Pinpoint Campaigns | https://aws.amazon.com/about-aws/whats-new/2017/09/amazon-cognito-integrates-with-amazon-pinpoint-to-add-analytics-for-user-pools-and-enrich-pinpoint-campaigns/ Amazon Redshift now supports late-binding views referencing Amazon Redshift and Redshift Spectrum external tables | https://aws.amazon.com/about-aws/whats-new/2017/09/amazon-redshift-now-supports-late-binding-views-referencing-amazon-redshift-and-redshift-spectrum-external-tables/ Custom Artifacts on AWS Device Farm - AWS Mobile Blog | https://aws.amazon.com/blogs/mobile/custom-artifacts-on-aws-device-farm/ Amazon Aurora Can Migrate Encrypted Databases from Amazon RDS for MySQL | https://aws.amazon.com/about-aws/whats-new/2017/09/amazon-aurora-can-migrate-encrypted-databases-from-amazon-rds-for-mysql/ Amazon EC2 Systems Manager Adds Raspbian OS and Raspberry Pi Support | https://aws.amazon.com/about-aws/whats-new/2017/09/amazon-ec2-systems-manager-adds-raspbian-os-and-raspberry-pi-support/ AWS Greengrass is available in Asia Pacific (Tokyo) Region. | https://aws.amazon.com/about-aws/whats-new/2017/09/aws-greengrass-is-available-in-asia-pacific-tokyo-region/ AWS CloudTrail Enables Option to Add All Amazon S3 Buckets to Data Events | https://aws.amazon.com/about-aws/whats-new/2017/09/aws-cloudtrail-enables-option-to-add-all-amazon-s3-buckets-to-data-events/ Amazon Kinesis Analytics improves application performance for high volume data streams | https://aws.amazon.com/about-aws/whats-new/2017/09/amazon-kinesis-analytics-improves-application-performance-for-high-volume-data-streams/ New Kinesis Analytics stream processing functions for time series analytics, real time sessionization, and more | https://aws.amazon.com/about-aws/whats-new/2017/09/new-kinesis-analytics-stream-processing-functions-for-time-series-analytics-real-time-sessionization-and-more/ AWS CloudFormation provides Stack Termination Protection | https://aws.amazon.com/about-aws/whats-new/2017/09/aws-cloudformation-provides-stack-termination-protection/

Join host Oli in the latest episode of AWS TechChat as he speaks with special guest, Dean Samuels, Solutions Architect Manager, HKT, AWS. Oli and Dean dive into the latest updates and announcements around Network Load Balancer, Amazon Lex, Amazon EC2 Systems Manager, AWS Greengrass, Per-Second billing, Middle East Region, Apache MXNet, and Prime Day 2017.

Join Dr Pete and Russ in the latest episode of AWS TechChat as they share security best practices and news around Amazon Rekognition, Amazon DynamoDB, Amazon ECS, AWS Greengrass, Amazon SQS, AWS CodeStar, AWS Lambda, AWS X-Ray, Amazon Aurora, Amazon RDS, Amazon EMR and AWS Deep Learning AMIs.

Data Science Daily Show Notes @theRegister Learn Machine Learning in 15 Miinutes  https://www.theregister.co.uk/2017/06/21/15_minutes_in_machine_learning/ (https://www.theregister.co.uk/2017/06/21/15_minutes_in_machine_learning/) (https://twitter.com/hashtag/IoT?src=hash) (https://t.co/vNcd0zGy2b) AWS Greengrass makes it easier for business to develop for IoT. (https://t.co/51UBlpYzmp) (https://twitter.com/hashtag/disruption?src=hash)

As IT and OT players stake out their claims in the Industrial Internet of Things (IIoT) landscape, Amazon and partner Ayla Networks are deploying a technology called AWS Greengrass that brings a subset of cloud security, management, and provisioning technology to the gateway level. The goal, of course, is to provide more intelligence closer to the edge of IIoT networks, but the announcement raises two significant questions: 1) Why would Amazon, a company with revenues derived mostly from cloud-based transactions, want to potentially cut off a portion of their business? 2) Do operational technologists have something to fear as IT behemoths push further down the IoT technology stack? In this week's Embedded Insider's podcast, Rich Nass, EVP of Embedded Computing Design and Brandon Lewis, Technology Editor for Embedded Computing Design, pose these questions to Bill Podrasky, VP of Business Development at Ayla Networks.

AWS has launched AWS Greengrass, a platform that extends the AWS Cloud onto your devices so they can act locally on the data they generate, while still taking advantage of the cloud. In this session we will talk about how Greengrass works and what you can do with it. You will also hear from early customers who will discuss their use cases for Greengrass and how it fits into their overall IoT strategy.

You can now execute Lambda’s almost anywhere – originating in the cloud, and on connected devices with AWS Greengrass. This advanced technical session explores Lambda Functions and what it means to use them across these diverse environments. We will treat the cloud as the ‘brain’, using local Lambda’s for local executions. This way devices can react instinctively, much like the autonomic nervous system, operating in the periphery and responsible for collecting and filtering information, implementing simple and time-sensitive local actions reflexively.

...Eventually, someone has to clean up the leftover pizza. ...That sweet OpEx. ..."Easy to stay." Amazon came out with a slew of features last week. This week we discuss them and take some cracks at the broad, portfolio approach at AWS compared to historic (like .Net) platform approaches. We also discuss footwear and what to eat and where to stay in Las Vegas. Footware Kenneth Cole slip on shoes (http://amzn.to/2gH6OzD). Keen Austin shoes, slip-on (http://amzn.to/2h2gveX) and lace (http://amzn.to/2ggll4y). The Doc Martin's Coté used to wear, Hickmire (http://amzn.to/2hlPnIJ). Mid-roll Coté: the Cloud Native roadshows are over, but check out the cloud native WIP I have at cote.io/cloud2 (http://cote.io/cloud2) or, just check out some excerpts on working with auditors (https://medium.com/@cote/auditors-your-new-bffs-918c8671897a#.et5tv7p7l), selecting initial projects (https://medium.com/@cote/getting-started-picking-your-first-cloud-native-projects-or-every-digital-transformation-starts-d0b1295f3712#.v7jpyjvro), and dealing with legacy (https://medium.com/built-to-adapt/deal-with-legacy-before-it-deals-with-you-cc907c800845#.ixtz1kqdz). Matt: Presenting at the CC Dojo #3, talking DevOps in Tokyo (https://connpass.com/event/46308/) AWS re:Invent Matt Ray heroically summarizes all here. Richard has a write-up as well (https://www.infoq.com/news/2016/12/aws-reinvent-recap). RedMonk re:Cap (http://redmonk.com/sogrady/2016/12/07/the-redmonk-reinvent-recap/) Global Partner Summit Don't hedge your bets, "AWS has no time for uncommitted partners" (http://www.zdnet.com/article/andy-jassy-warns-aws-has-no-time-for-uncommitted-partners/) "10,000 new Partners have joined the APN in the past 12 months" (https://aws.amazon.com/blogs/aws/aws-global-partner-summit-report-from-reinvent-2016/) Day 1 - "I'd like to tell you about…" Amazon Lightsail (https://aws.amazon.com/blogs/aws/amazon-lightsail-the-power-of-aws-the-simplicity-of-a-vps/) Monthly instances with memory, cpu, storage & static IP Bitnami! Hello Digital Ocean & Linode Amazon Athena (https://aws.amazon.com/blogs/aws/amazon-athena-interactive-sql-queries-for-data-in-amazon-s3/) S3 SQL queries, based on Presto distributed SQL engine JSON, CSV, log files, delimited text, others Coté: this seems pretty amazing. Amazon Rekognition (https://aws.amazon.com/blogs/aws/amazon-rekognition-image-detection-and-recognition-powered-by-deep-learning/) Image detection & recognition Amazon Polly (https://aws.amazon.com/blogs/aws/polly-text-to-speech-in-47-voices-and-24-languages/) Text to Speech in 47 Voices and 24 Languages Coté: Makes transcripts? Amazon Lex (https://aws.amazon.com/blogs/aws/amazon-lex-build-conversational-voice-text-interfaces/) Conversational voice & text interface builder (ie. chatbots) Coté: make chat-bots and such. AWS Greengrass (https://aws.amazon.com/blogs/aws/aws-greengrass-ubiquitous-real-world-computing/) Local Lambda processing for IoT Coté: is this supposed to be, like, for running Lambda things on disconnected devices? Like fPaaS in my car? AWS Snowball Edge & Snowmobile (https://aws.amazon.com/blogs/aws/aws-snowball-edge-more-storage-local-endpoints-lambda-functions/) Local processing of data? S3/NFS and local Lambda processing? I'm thinking easy hybrid on-ramp Not just me (https://twitter.com/CTOAdvisor/status/806320423881162753) More on it (http://www.techrepublic.com/article/how-amazon-is-moving-closer-to-on-premises-compute-with-snowball-edge/) Move exabytes in weeks (https://aws.amazon.com/blogs/aws/aws-snowmobile-move-exabytes-of-data-to-the-cloud-in-weeks/) "Snowmobile is a ruggedized, tamper-resistant shipping container 45 feet long, 9.6 feet high, and 8 feet wide. It is waterproof, climate-controlled, and can be parked in a covered or uncovered area adjacent to your existing data center." Coté: LEGOS! More instance types, Elastic GPUs, F1 Instances, PostgreSQL for Aurora High I/O (I3 3.3 million IOPs 16GB/s), compute (C5 72 vCPUs, 144 GiB), memory (R4 488 Gib), burstable (T2 shared) (https://aws.amazon.com/blogs/aws/ec2-instance-type-update-t2-r4-f1-elastic-gpus-i3-c5/) Mix EC2 instance type with a 1-8 GiB GPU (https://aws.amazon.com/blogs/aws/in-the-work-amazon-ec2-elastic-gpus/) More! (https://aws.amazon.com/blogs/aws/developer-preview-ec2-instances-f1-with-programmable-hardware/) F1: FPGA EC2 instances, also available for use in the AWS Marketplace (https://aws.amazon.com/blogs/aws/amazon-aurora-update-postgresql-compatibility/) RDS vs. Aurora Postgres? Aurora is more fault tolerant apparently? Day 2 AWS OpsWorks for Chef Automate (https://aws.amazon.com/opsworks/chefautomate/) Chef blog (https://blog.chef.io/2016/12/01/chef-automate-now-available-fully-managed-service-aws/) Fully managed Chef Server & Automate Previous OpsWorks now called "OpsWorks Stacks" Cloud Opinion approves the Chef strategy (https://twitter.com/cloud_opinion/status/804374597449584640) EC2 Systems Manager Tools for managing EC2 & on-premises systems (https://aws.amazon.com/ec2/systems-manager/) AWS Codebuild Managed elastic build service with testing (https://aws.amazon.com/blogs/aws/aws-codebuild-fully-managed-build-service/) AWS X-Ray (https://aws.amazon.com/blogs/aws/aws-x-ray-see-inside-of-your-distributed-application/) Distributed debugging service for EC2/ECS/Lambda? "easy way for developers to "follow-the-thread" as execution traverses EC2 instances, ECS containers, microservices, AWS database and messaging services" AWS Personal Health Dashboard (https://aws.amazon.com/blogs/aws/new-aws-personal-health-dashboard-status-you-can-relate-to/) Personalized AWS monitoring & CloudWatch Events auto-remediation Disruptive to PAAS monitoring & APM (New Relic, DataDog, App Dynamics) AWS Shield (https://aws.amazon.com/blogs/aws/aws-shield-protect-your-applications-from-ddos-attacks/) DDoS protection Amazon Pinpoint Mobile notification & analytics service (https://aws.amazon.com/blogs/aws/amazon-pinpoint-hit-your-targets-with-aws/) AWS Glue Managed data catalog & ETL (extract, transform & load) service for data analysis AWS Batch Automated AWS provisioning for batch jobs (https://aws.amazon.com/blogs/aws/aws-batch-run-batch-computing-jobs-on-aws/) C# in Lamba, Lambda Edge, AWS Step Functions Werner Vogels: "serverless, there is no cattle, only the herd" Lambda Edge (https://aws.amazon.com/blogs/aws/coming-soon-lambda-at-the-edge/) for running in response to CloudFront events, ""intelligent" processing of HTTP requests at a location that is close" More (https://aws.amazon.com/blogs/aws/new-aws-step-functions-build-distributed-applications-using-visual-workflows/) Step Functions a visual workflow "state machine" for Lambda functions More (https://serverless.zone/faas-is-stateless-and-aws-step-functions-provides-state-as-a-service-2499d4a6e412) BLOX (https://aws.amazon.com/blogs/compute/introducing-blox-from-amazon-ec2-container-service/): EC2 Container Service Scheduler Open source scheduler, watches CloudWatch events for managing ECS deployments Blox.github.io Analysis discussion for all the AWS stuff Jesus! I couldn't read it all! So, what's the role of Lambda here? It seems like the universal process thingy - like AppleScript, bash scripts, etc. for each part: if you need/want to add some customization to each thing, put a Lambda on it. What's the argument against just going full Amazon, in the same way you'd go full .Net, etc.? Is it cost? Lockin? Performance (people always talk about Amazon being kind of flakey at times - but what isn't flakey, your in-house run IT? Come on.) BONUS LINKS! Not covered in episode. Docker for AWS "EC2 Container Service, Elastic Beanstalk, and Docker for AWS all cost nothing; the only costs are those incurred by using AWS resources like EC2 or EBS." (http://www.infoworld.com/article/3145696/application-development/docker-for-aws-whos-it-really-for.html) Docker gets paid on usage? Apparently an easier learning curve than ECS + AWS services, but whither Blox? Time to Break up Amazon? Someone has an opinion (http://www.geekwire.com/2016/new-study-compares-amazon-19th-century-robber-barons-urges-policymakers-break-online-retail-giant/) HPE Discover, all about the "Hybrid Cloud" Hybrid it up! (http://www.zdnet.com/article/hpe-updates-its-converged-infrastructure-hybrid-cloud-software-lineup/) Killed "The Machine" (http://www.theregister.co.uk/2016/11/29/hp_labs_delivered_machine_proof_of_concept_prototype_but_machine_product_is_no_more/) HPE's Synergy software, based on OpenStack (is this just Helion rebranded?) Not great timing for a conference Sold OpenStack & CloudFoundry bits to SUSE (http://thenewstack.io/suse-add-hpes-openstack-cloud-foundry-portfolio-boost-kubernetes-investment/), the new "preferred Linux partner": How Google is Challenging AWS Ben on public cloud (https://stratechery.com/2016/how-google-cloud-platform-is-challenging-aws/) "open-sourcing Kubernetes was Google's attempt to effectively build a browser on top of cloud infrastructure and thus decrease switching costs; the company's equivalent of Google Search will be machine learning." Exponent.fm episode 097 — Google vs AWS (http://exponent.fm/episode-097-google-versus-aws/) Recommendations Brandon: Apple Wifi Calling (https://support.apple.com/en-us/HT203032) & Airplane mode (https://support.apple.com/en-us/HT204234). Westworld worth watching (http://www.hbo.com/westworld). Matt: Backyard Kookaburras (https://www.youtube.com/watch?v=DmNn7P59HcQ). Magpies too! (http://www.musicalsoupeaters.com/swooping-season/) This gif (https://media.giphy.com/media/wik7sKOl86OFq/giphy.gif). Coté: W Hotel in Las Vegas (http://www.wlasvegas.com/) and lobster eggs benedict (https://www.instagram.com/p/BNxAyQbjKCQ/) at Payard's in Ceasers' Outro: "I need my minutes," Soul Position (http://genius.com/Soul-position-i-need-my-minutes-lyrics).