This document provides an agenda and overview for a workshop on building game skills for Echo Buttons. The agenda includes reviewing Alexa skills technology, an overview of Echo Button skills, new interfaces for game engines and gadget commands, and three hands-on labs. Attendees will learn about key components like GameEngine directives for listening to button events and controlling button animations using GadgetController directives. They will work through modifying sample skills in the labs to incorporate these new capabilities.
Automated testing is an essential part of assuring the quality and functional state of your software. One of the biggest challenges in automating your testing can be the simulating user interaction with your UI. For Alexa custom skills, users generally interact via multi-step conversations, which result in a request-response flow to your endpoint. The right set of tools and APIs can help you tackle the complexity of simulating such interactions in an automated fashion. This session demonstrates how to create conversational scripts that can be executed against an Alexa skill endpoint to validate the skill’s output against predefined assertions. You'll leave this talk armed with practical knowledge of how to establish powerful test automation suites for your Alexa skills, helping you ensure that your new skills behave exactly as you expect, and that you don’t accidentally break things while working on new versions. Bring your own laptop and AWS account.
As serverless architectures become more popular, customers need a framework of patterns to help them identify how they can leverage AWS to deploy their workloads without managing servers or operating systems. This session describes re-usable serverless patterns while considering costs. For each pattern, we provide operational and security best practices and discuss potential pitfalls and nuances. We also discuss the considerations for moving an existing server-based workload to a serverless architecture. The patterns use services like AWS Lambda, Amazon API Gateway, Amazon Kinesis Streams, Amazon Kinesis Analytics, Amazon DynamoDB, Amazon S3, AWS Step Functions, AWS Config, AWS X-Ray, and Amazon Athena. This session can help you recognize candidates for serverless architectures in your own organizations and understand areas of potential savings and increased agility. What’s new in 2017: using X-Ray in Lambda for tracing and operational insight; a pattern on high performance computing (HPC) using Lambda at scale; how a query can be achieved using Athena; Step Functions as a way to handle orchestration for both the Automation and Batch patterns; a pattern for Security Automation using AWS Config rules to detect and automatically remediate violations of security standards; how to validate API parameters in API Gateway to protect your API back-ends; and a solid focus on CI/CD development pipelines for serverless –that includes testing, deploying, and versioning (SAM tools).
ALX202_Integrate Alexa voice technology into your product with the Alexa Voic...Amazon Web Services
In this session, we’ll teach you how to use the Alexa Voice Service (AVS) and its suite of development tools to bring your first Alexa-enabled product to market. You’ll learn how commercial device manufacturers are getting to market faster using the new AVS Device SDK. To ensure your customers have the best voice experience, we’ll teach you how to choose an Audio Front End and client-side hardware from a range of commercial-grade Development Kits. You’ll walk out of this session with the knowledge required to design products with optimized Alexa-enabled voice experiences around your unique design requirements.
In this workshop, we explore features and functions of the AWS IoT service. We start out by covering the AWS ecosystem as it relates to IoT. Next, we cover the AWS IoT service in greater detail, review some best practices for IoT solutions, and look at some common architectural patterns. With this foundation in place, we explore the AWS IoT service hands on with an IoT device and accompanying lab exercises. To get the most out of this workshop you need to have an AWS account created before the workshop begins. You should also bring a laptop so you can connect to the IoT device and perform the workshop lab exercises.
Image recognition is a field of deep learning that uses neural networks to recognize the subject and traits for a given image. In Japan, Cookpad uses Amazon ECS to run an image recognition platform on clusters of GPU-enabled EC2 instances. In this session, hear from Cookpad about the challenges they faced building and scaling this advanced, user-friendly service to ensure high-availability and low-latency for tens of millions of users.
This session walks you through some of the more advanced features offered in Alexa Skill Builder, like Dialog Management, Entity Resolution, state management, session persistence, and maintaining context. Using Dialog Management, you can engage skill users in a multi-turn dialog to elicit and confirm slots for an intent. Using Entity Resolution, you can greatly simplify slot management by mapping multiple synonyms of your slot to a unique ID. We couple these conversational techniques with the management of session state and persistence to enable memory and personalization.
In this hands-on workshop, learn how to build voice-enabled devices with the Alexa Voice Service (AVS), Amazon’s intelligent voice recognition and natural language understanding service. Key topics include: a technology overview, AVS development tools for commercial developers, tips for prototyping with AVS, how to build a robust C++ client using the AVS Device SDK, and how to test your AVS device. Expect to understand the process for bringing hands-free voice services to any connected device and walk out with a working prototype of an Alexa-enabled device on a Raspberry Pi.
In this session, we cover Alexa’s reach into smart devices integration, both inside and outside the home. Learn how your product can become part of the Alexa smart devices family and how you can easily bring Alexa to your business or home.
Automated testing is an essential part of assuring the quality and functional state of your software. One of the biggest challenges in automating your testing can be the simulating user interaction with your UI. For Alexa custom skills, users generally interact via multi-step conversations, which result in a request-response flow to your endpoint. The right set of tools and APIs can help you tackle the complexity of simulating such interactions in an automated fashion. This session demonstrates how to create conversational scripts that can be executed against an Alexa skill endpoint to validate the skill’s output against predefined assertions. You'll leave this talk armed with practical knowledge of how to establish powerful test automation suites for your Alexa skills, helping you ensure that your new skills behave exactly as you expect, and that you don’t accidentally break things while working on new versions. Bring your own laptop and AWS account.
As serverless architectures become more popular, customers need a framework of patterns to help them identify how they can leverage AWS to deploy their workloads without managing servers or operating systems. This session describes re-usable serverless patterns while considering costs. For each pattern, we provide operational and security best practices and discuss potential pitfalls and nuances. We also discuss the considerations for moving an existing server-based workload to a serverless architecture. The patterns use services like AWS Lambda, Amazon API Gateway, Amazon Kinesis Streams, Amazon Kinesis Analytics, Amazon DynamoDB, Amazon S3, AWS Step Functions, AWS Config, AWS X-Ray, and Amazon Athena. This session can help you recognize candidates for serverless architectures in your own organizations and understand areas of potential savings and increased agility. What’s new in 2017: using X-Ray in Lambda for tracing and operational insight; a pattern on high performance computing (HPC) using Lambda at scale; how a query can be achieved using Athena; Step Functions as a way to handle orchestration for both the Automation and Batch patterns; a pattern for Security Automation using AWS Config rules to detect and automatically remediate violations of security standards; how to validate API parameters in API Gateway to protect your API back-ends; and a solid focus on CI/CD development pipelines for serverless –that includes testing, deploying, and versioning (SAM tools).
ALX202_Integrate Alexa voice technology into your product with the Alexa Voic...Amazon Web Services
In this session, we’ll teach you how to use the Alexa Voice Service (AVS) and its suite of development tools to bring your first Alexa-enabled product to market. You’ll learn how commercial device manufacturers are getting to market faster using the new AVS Device SDK. To ensure your customers have the best voice experience, we’ll teach you how to choose an Audio Front End and client-side hardware from a range of commercial-grade Development Kits. You’ll walk out of this session with the knowledge required to design products with optimized Alexa-enabled voice experiences around your unique design requirements.
In this workshop, we explore features and functions of the AWS IoT service. We start out by covering the AWS ecosystem as it relates to IoT. Next, we cover the AWS IoT service in greater detail, review some best practices for IoT solutions, and look at some common architectural patterns. With this foundation in place, we explore the AWS IoT service hands on with an IoT device and accompanying lab exercises. To get the most out of this workshop you need to have an AWS account created before the workshop begins. You should also bring a laptop so you can connect to the IoT device and perform the workshop lab exercises.
Image recognition is a field of deep learning that uses neural networks to recognize the subject and traits for a given image. In Japan, Cookpad uses Amazon ECS to run an image recognition platform on clusters of GPU-enabled EC2 instances. In this session, hear from Cookpad about the challenges they faced building and scaling this advanced, user-friendly service to ensure high-availability and low-latency for tens of millions of users.
This session walks you through some of the more advanced features offered in Alexa Skill Builder, like Dialog Management, Entity Resolution, state management, session persistence, and maintaining context. Using Dialog Management, you can engage skill users in a multi-turn dialog to elicit and confirm slots for an intent. Using Entity Resolution, you can greatly simplify slot management by mapping multiple synonyms of your slot to a unique ID. We couple these conversational techniques with the management of session state and persistence to enable memory and personalization.
In this hands-on workshop, learn how to build voice-enabled devices with the Alexa Voice Service (AVS), Amazon’s intelligent voice recognition and natural language understanding service. Key topics include: a technology overview, AVS development tools for commercial developers, tips for prototyping with AVS, how to build a robust C++ client using the AVS Device SDK, and how to test your AVS device. Expect to understand the process for bringing hands-free voice services to any connected device and walk out with a working prototype of an Alexa-enabled device on a Raspberry Pi.
In this session, we cover Alexa’s reach into smart devices integration, both inside and outside the home. Learn how your product can become part of the Alexa smart devices family and how you can easily bring Alexa to your business or home.
Artificial Intelligence is here this time, to stay. For the Enterprise, AI materializes into solutions that improve customers' experiences by optimizing, automating, and personalizing high-volume tasks while lowering cost and time to market, therefore accelerating innovation. In this session, we cover AWS' AI products and services that enable innovation in the enterprise while maintaining compliance with different regimes such as HIPAA, PCI, and more. Finally, we discuss enterprise architectures on AWS for machine learning and deep learning workloads.
NEW LAUNCH! Introducing Amazon EKS - CON215 - re:Invent 2017Amazon Web Services
Amazon Elastic Container Service for Kubernetes (Amazon EKS) is a new managed service for running Kubernetes on AWS. This session will provide an overview of Amazon EKS, why we built it, and how it works.
IOT308-One Message to a Million Things Done in 60 seconds with AWS IoTAmazon Web Services
The AWS IoT message broker is a fully managed publish/subscribe broker service that enables the sending and receiving of messages between devices and applications with high speed and reliability. In this session, learn about the common AWS IoT messaging patterns and dive deep into understanding the scaling best practices while using these patterns in applications. In addition, Amazon Music talks about how they used AWS IoT to build event notifications of soccer games in their applications for our customers.
NEW LAUNCH! Building Smart Conference Rooms with Alexa for Business - BAP309 ...Amazon Web Services
Alexa for Business allows you to use Alexa-enabled devices to transform your conference rooms. Using simple voice skills, you can control the conference room environment, start online meetings, turn on video projectors, and more. In thiAlexa for Business allows you to use Alexa-enabled devices to transform your conference rooms. Using simple voice skills, you can control the conference room environment, start online meetings, turn on video projectors, and more. In this session, we'll walk through the Alexa-enabled conference room, and show you how you can use Alexa for Business to specify device locations, connect to conference room calendars, and provide access to meeting-specific skills. session, we'll walk through the Alexa-enabled conference room, and show you how you can use Alexa for Business to specify device locations, connect to conference room calendars, and provide access to meeting-specific skills.
Join us to learn what's new in serverless computing and AWS Lambda. Dr. Tim Wagner, General Manager of AWS Lambda and Amazon API Gateway, will share the latest developments in serverless computing and how companies are benefiting from serverless applications. You'll learn about the latest feature releases from AWS Lambda, Amazon API Gateway, and more. You will also hear from FICO about how it is using serverless computing for its predictive analytics and data science platform.
Introduction to AWS Fargate & Amazon Elastic Container Service for KubernetesAmazon Web Services
AWS Fargate makes running containerized workloads on AWS easier than ever before. This session will provide a technical background for using Fargate with your existing containerized services, including best practices for building images, configuring task definitions, task networking, secrets management, and monitoring.
NEW LAUNCH! Deep dive on Amazon Neptune - DAT318 - re:Invent 2017Amazon Web Services
Amazon Neptune is a fully managed graph database service which has been built ground up for handling rich highly connected data. Graph databases have diverse use cases across multiple industries; examples include recommendation engines, knowledge graphs, fraud detection, social networks, network management and life sciences. Amazon Neptune is open and flexible with support for Apache TinkerPop and RDF/SPARQL standards. Under the hood Neptune uses the same foundational building blocks as Amazon Aurora which gives it high performance, availability and durability. In this session, we will do a deep dive into capabilities, performance and key innovations in Amazon Neptune.
Panasonic and the Colorado Department of Transportation (CDOT) launched a partnership to build a connected transportation program in which real-time data would be shared across vehicles, infrastructure, and people to improve safety and mobility on the road – the V2X Deployment Program. To prove its capabilities initially, Panasonic built a fully functional Minimum Viable Product (MVP) in less than six months, using services such as AWS IoT, AWS Lambda, Amazon RDS, Amazon ECS, Amazon EC2, Amazon S3, and more. See how customers will synthesize data from various edge devices (roadside units) on the highways and send it to AWS IoT and analytics services for processing and intelligible actions. We discuss AWS IOT capabilities, design patterns, customer architecture, challenges faced, and lessons learned. Learn best practices and common issues to address to succeed with similar smart city projects.
Easy and Scalable Log Analytics with Amazon Elasticsearch Service - ABD326 - ...Amazon Web Services
- Applications generate logs. Infrastructure generates logs. Even humans generate logs (though we usually call that “medical data”). By ingesting and analyzing logs, you can gain understanding of how complex systems operate and quickly discover and diagnose when they don’t work as they should. In this workshop, we ingest and analyze log streams using Amazon Kinesis Firehose and Amazon Elasticsearch Service. You should come with an understanding of AWS fundamentals (Amazon EC2, Amazon S3, and security groups). You need a laptop with a Chrome or Firefox browser.
Designing and Implementing a Serverless Media Processing Workflow Using AWS S...Amazon Web Services
This workshop demonstrates how to use AWS Step Functions to coordinate multiple AWS Lambda functions using visual workflows. You learn how to build a Step Functions state machine to orchestrate a multi-step serverless application. You work in teams to design and implement an image recognition and processing workflow using AWS Step Functions, AWS Lambda, Amazon S3, Amazon DynamoDB, and Amazon Rekognition. The workflow process photos uploaded to Amazon S3 and extract metadata from the image, such as geolocation, size, format, and time. It then uses image recognition to tag objects in the photo and produce a thumbnail. Prerequisites: Experience using AWS, an AWS account, AWS CLI. We provide AWS credits for use in the hands-on lab. Bring a laptop.
MCL331_Building a Virtual Assistant with Amazon Polly and Amazon Lex PollexyAmazon Web Services
Technology advances have enabled people with disabilities to communicate more meaningfully and participate more fully in their daily lives. In this session, we discuss the many challenges for those with special needs and how AWS voice technologies empower this population. In this workshop, participants learn how to build Pollexy (Polly + Lex), a Raspberry Pi, and a mobile-based special needs verbal assistant that lets caretakers schedule audio task prompts and messages both on a recurring schedule and on-demand.
GPSWKS408-GPS Migrate Your Databases with AWS Database Migration Service and ...Amazon Web Services
Database migration is one of the most commonly performed tasks in the journey to the AWS Cloud. In this workshop, we help migration solutions architects, engineers, and program staff gain in-depth knowledge, hands-on experience, and best practices in using the AWS Database Migration Service (AWS DMS) and its companion, the AWS Schema Conversion Tool (AWS SCT). First, we walk through database migration methodologies and provide field data about what customers are doing with AWS DMS and AWS SCT. Then, we take a closer look at AWS DMS and AWS SCT features, architecture, workflows, and Amazon Aurora as a destination database. Attendees work through a lab to gain firsthand experience in database migration. To get the most out of this session, bring a laptop for the lab and have a QwikLabs account.
How to Determine If You Are Well Architected for Resiliency (or How I Learned...Amazon Web Services
Are your critical applications well architected? Come join this workshop to find out. In this workshop, we perform destructive testing on a reference architecture that is designed to be available 99.99% of the time. This architecture spans availability zones and even regions. We dive deep into how to achieve high availability and in the rare case of disaster, how to fail over to a completely different region. We explain some concepts and implement code to test each layer’s resiliency for simulated loss of Availability Zones, regional service loss, and regional loss. We cover web applications, databases, and storage. Bring your laptop or tablet with your favorite IDE and your AWS account. This workshop requires basic hands-on programming skills. You should be familiar with a programming language like python, java, c#, ruby, powershell or bash.
Operating a security practice on AWS brings many new challenges that haven't been faced in data center environments. The dynamic nature of infrastructure, the relationship between development team members and their applications, and the architecture paradigms have all changed as a result of building software on top of AWS. In this session, learn how your security team can leverage AWS Lambda as a tool to monitor, audit, and enforce your security policies within an AWS environment.
SID302_Force Multiply Your Security Team with Automation and AlexaAmazon Web Services
Adversaries automate. Who says the good guys can't as well? By combining AWS offerings like AWS CloudTrail, Amazon Cloudwatch, AWS Config, and AWS Lambda with the power of Amazon Alexa, you can do more security tasks faster, with fewer resources. Force multiplying your security team is all about automation! Last year, we showed off penetration testing at the push of an (AWS IoT) button, and surprise-previewed how to ask Alexa to run Inspector as-needed. Want to see other ways to ask Alexa to be your cloud security sidekick? We have crazy new demos at the ready to show security geeks how to sling security automation solutions for their AWS environments (and impress and help your boss, too).
NEW LAUNCH! Building Virtual Reality and Augmented Reality Applications with ...Amazon Web Services
AWS has launched Amazon Sumerian. 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. In this workshop, you will learn how to use Sumerian to build a scene viewable in WebVR. We will cover the Sumerian interface, asset management and adding those assets to scenes. You will learn how to manipulating the assets, add behaviors to objects you placed in the scene and connect to AWS services. Then we will publish your scene.
NEW LAUNCH! Introducing AWS IoT Analytics - IOT214 - re:Invent 2017Amazon Web Services
Introducing AWS IoT Analytics, the new managed service that lets customers structure, preprocess, store, analyze, and visualize connected device data. The service team will walk through the service’s features and introduce two customer use cases from the private beta.
NEW LAUNCH! Bring Alexa to Work! Voice-enable Your Organization with Alexa fo...Amazon Web Services
In this session, we'll introduce you to the voice-enabled workplace, and show you how Alexa can help employees work smarter by acting as their personal digital assistant. We'll also show you how Alexa transforms your conference rooms, and provides a better telephony experience. And we'll talk through how custom voice skills can be used by employees and customers alike. Finally, we'll explain how Alexa for Business allows you to do all this in a scalable and secure way.
CMP314_Bringing Deep Learning to the Cloud with Amazon EC2Amazon Web Services
Join us as we explore how SigOpt is using AWS to optimize machine learning and AI pipelines. SigOpt is an Optimization-as-a-Service platform that seamlessly tunes model configuration parameters through via an ensemble of optimization algorithms behind a simple API. This results in captured performance that may otherwise be left on the table by conventional techniques while also reducing the time and cost for developing and optimizing new models. In this session, you will learn how SigOpt has optimized ML and AI pipelines on Amazon EC2 instances for various algorithms (including the latest generation of GPU optimized instances), as well as how they internally leverage AWS to build their flexible and scalable platform and evaluation framework
In this workshop, you get a fully working mobile game that includes common mobile game features, such as authentication, DLC, gifting, leaderboards, and analytics. However, nothing on the server side is built yet. It’s a time for you to breathe life into the game by using the given AWS Lambda code and other AWS services. To do this, bring your own laptop and at least a basic understanding of several AWS services: Amazon Cognito, AWS Lambda, Amazon API Gateway, Amazon S3, Amazon CloudFront, Amazon DynamoDB, Amazon SNS, Amazon SQS, Amazon Kinesis, and Amazon Mobile Analytics.
Get Started Developing with Alexa and DrupalAmber Matz
The Internet of Things revolution has ushered in a wave of “Smart Home” devices and gadgets, and with it, new opportunities for creative hacking and software development. The Amazon Echo suite of devices, using the Internet-connected conversational interface commonly known as “Alexa”, is backed by a developer-friendly ecosystem with open source tools, documentation, tutorials, code examples, and a free (as in no-cost) open invitation to developers to create “Alexa Custom Skills” that anyone can download and use with their Echo devices.
In this session, you will learn:
- What to consider when designing a voice user interface
- The various components of an Alexa custom skill
- How to proceed through the custom skill development process
- 3 implementation methods including 2 ways to integrate Drupal data into your skill
To get the most out of this presentation, you should be an intermediate coder, and comfortable tinkering with code. But you don’t have to be a Node expert, a Drupal expert, or a Web Services expert to create a custom Alexa skill. It’s a pretty accessible development experience.
Learning Objectives & Outcomes:
By the end of this presentation, you should feel empowered and ready to create your own custom Alexa skill, with or without Drupal integration.
Artificial Intelligence is here this time, to stay. For the Enterprise, AI materializes into solutions that improve customers' experiences by optimizing, automating, and personalizing high-volume tasks while lowering cost and time to market, therefore accelerating innovation. In this session, we cover AWS' AI products and services that enable innovation in the enterprise while maintaining compliance with different regimes such as HIPAA, PCI, and more. Finally, we discuss enterprise architectures on AWS for machine learning and deep learning workloads.
NEW LAUNCH! Introducing Amazon EKS - CON215 - re:Invent 2017Amazon Web Services
Amazon Elastic Container Service for Kubernetes (Amazon EKS) is a new managed service for running Kubernetes on AWS. This session will provide an overview of Amazon EKS, why we built it, and how it works.
IOT308-One Message to a Million Things Done in 60 seconds with AWS IoTAmazon Web Services
The AWS IoT message broker is a fully managed publish/subscribe broker service that enables the sending and receiving of messages between devices and applications with high speed and reliability. In this session, learn about the common AWS IoT messaging patterns and dive deep into understanding the scaling best practices while using these patterns in applications. In addition, Amazon Music talks about how they used AWS IoT to build event notifications of soccer games in their applications for our customers.
NEW LAUNCH! Building Smart Conference Rooms with Alexa for Business - BAP309 ...Amazon Web Services
Alexa for Business allows you to use Alexa-enabled devices to transform your conference rooms. Using simple voice skills, you can control the conference room environment, start online meetings, turn on video projectors, and more. In thiAlexa for Business allows you to use Alexa-enabled devices to transform your conference rooms. Using simple voice skills, you can control the conference room environment, start online meetings, turn on video projectors, and more. In this session, we'll walk through the Alexa-enabled conference room, and show you how you can use Alexa for Business to specify device locations, connect to conference room calendars, and provide access to meeting-specific skills. session, we'll walk through the Alexa-enabled conference room, and show you how you can use Alexa for Business to specify device locations, connect to conference room calendars, and provide access to meeting-specific skills.
Join us to learn what's new in serverless computing and AWS Lambda. Dr. Tim Wagner, General Manager of AWS Lambda and Amazon API Gateway, will share the latest developments in serverless computing and how companies are benefiting from serverless applications. You'll learn about the latest feature releases from AWS Lambda, Amazon API Gateway, and more. You will also hear from FICO about how it is using serverless computing for its predictive analytics and data science platform.
Introduction to AWS Fargate & Amazon Elastic Container Service for KubernetesAmazon Web Services
AWS Fargate makes running containerized workloads on AWS easier than ever before. This session will provide a technical background for using Fargate with your existing containerized services, including best practices for building images, configuring task definitions, task networking, secrets management, and monitoring.
NEW LAUNCH! Deep dive on Amazon Neptune - DAT318 - re:Invent 2017Amazon Web Services
Amazon Neptune is a fully managed graph database service which has been built ground up for handling rich highly connected data. Graph databases have diverse use cases across multiple industries; examples include recommendation engines, knowledge graphs, fraud detection, social networks, network management and life sciences. Amazon Neptune is open and flexible with support for Apache TinkerPop and RDF/SPARQL standards. Under the hood Neptune uses the same foundational building blocks as Amazon Aurora which gives it high performance, availability and durability. In this session, we will do a deep dive into capabilities, performance and key innovations in Amazon Neptune.
Panasonic and the Colorado Department of Transportation (CDOT) launched a partnership to build a connected transportation program in which real-time data would be shared across vehicles, infrastructure, and people to improve safety and mobility on the road – the V2X Deployment Program. To prove its capabilities initially, Panasonic built a fully functional Minimum Viable Product (MVP) in less than six months, using services such as AWS IoT, AWS Lambda, Amazon RDS, Amazon ECS, Amazon EC2, Amazon S3, and more. See how customers will synthesize data from various edge devices (roadside units) on the highways and send it to AWS IoT and analytics services for processing and intelligible actions. We discuss AWS IOT capabilities, design patterns, customer architecture, challenges faced, and lessons learned. Learn best practices and common issues to address to succeed with similar smart city projects.
Easy and Scalable Log Analytics with Amazon Elasticsearch Service - ABD326 - ...Amazon Web Services
- Applications generate logs. Infrastructure generates logs. Even humans generate logs (though we usually call that “medical data”). By ingesting and analyzing logs, you can gain understanding of how complex systems operate and quickly discover and diagnose when they don’t work as they should. In this workshop, we ingest and analyze log streams using Amazon Kinesis Firehose and Amazon Elasticsearch Service. You should come with an understanding of AWS fundamentals (Amazon EC2, Amazon S3, and security groups). You need a laptop with a Chrome or Firefox browser.
Designing and Implementing a Serverless Media Processing Workflow Using AWS S...Amazon Web Services
This workshop demonstrates how to use AWS Step Functions to coordinate multiple AWS Lambda functions using visual workflows. You learn how to build a Step Functions state machine to orchestrate a multi-step serverless application. You work in teams to design and implement an image recognition and processing workflow using AWS Step Functions, AWS Lambda, Amazon S3, Amazon DynamoDB, and Amazon Rekognition. The workflow process photos uploaded to Amazon S3 and extract metadata from the image, such as geolocation, size, format, and time. It then uses image recognition to tag objects in the photo and produce a thumbnail. Prerequisites: Experience using AWS, an AWS account, AWS CLI. We provide AWS credits for use in the hands-on lab. Bring a laptop.
MCL331_Building a Virtual Assistant with Amazon Polly and Amazon Lex PollexyAmazon Web Services
Technology advances have enabled people with disabilities to communicate more meaningfully and participate more fully in their daily lives. In this session, we discuss the many challenges for those with special needs and how AWS voice technologies empower this population. In this workshop, participants learn how to build Pollexy (Polly + Lex), a Raspberry Pi, and a mobile-based special needs verbal assistant that lets caretakers schedule audio task prompts and messages both on a recurring schedule and on-demand.
GPSWKS408-GPS Migrate Your Databases with AWS Database Migration Service and ...Amazon Web Services
Database migration is one of the most commonly performed tasks in the journey to the AWS Cloud. In this workshop, we help migration solutions architects, engineers, and program staff gain in-depth knowledge, hands-on experience, and best practices in using the AWS Database Migration Service (AWS DMS) and its companion, the AWS Schema Conversion Tool (AWS SCT). First, we walk through database migration methodologies and provide field data about what customers are doing with AWS DMS and AWS SCT. Then, we take a closer look at AWS DMS and AWS SCT features, architecture, workflows, and Amazon Aurora as a destination database. Attendees work through a lab to gain firsthand experience in database migration. To get the most out of this session, bring a laptop for the lab and have a QwikLabs account.
How to Determine If You Are Well Architected for Resiliency (or How I Learned...Amazon Web Services
Are your critical applications well architected? Come join this workshop to find out. In this workshop, we perform destructive testing on a reference architecture that is designed to be available 99.99% of the time. This architecture spans availability zones and even regions. We dive deep into how to achieve high availability and in the rare case of disaster, how to fail over to a completely different region. We explain some concepts and implement code to test each layer’s resiliency for simulated loss of Availability Zones, regional service loss, and regional loss. We cover web applications, databases, and storage. Bring your laptop or tablet with your favorite IDE and your AWS account. This workshop requires basic hands-on programming skills. You should be familiar with a programming language like python, java, c#, ruby, powershell or bash.
Operating a security practice on AWS brings many new challenges that haven't been faced in data center environments. The dynamic nature of infrastructure, the relationship between development team members and their applications, and the architecture paradigms have all changed as a result of building software on top of AWS. In this session, learn how your security team can leverage AWS Lambda as a tool to monitor, audit, and enforce your security policies within an AWS environment.
SID302_Force Multiply Your Security Team with Automation and AlexaAmazon Web Services
Adversaries automate. Who says the good guys can't as well? By combining AWS offerings like AWS CloudTrail, Amazon Cloudwatch, AWS Config, and AWS Lambda with the power of Amazon Alexa, you can do more security tasks faster, with fewer resources. Force multiplying your security team is all about automation! Last year, we showed off penetration testing at the push of an (AWS IoT) button, and surprise-previewed how to ask Alexa to run Inspector as-needed. Want to see other ways to ask Alexa to be your cloud security sidekick? We have crazy new demos at the ready to show security geeks how to sling security automation solutions for their AWS environments (and impress and help your boss, too).
NEW LAUNCH! Building Virtual Reality and Augmented Reality Applications with ...Amazon Web Services
AWS has launched Amazon Sumerian. 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. In this workshop, you will learn how to use Sumerian to build a scene viewable in WebVR. We will cover the Sumerian interface, asset management and adding those assets to scenes. You will learn how to manipulating the assets, add behaviors to objects you placed in the scene and connect to AWS services. Then we will publish your scene.
NEW LAUNCH! Introducing AWS IoT Analytics - IOT214 - re:Invent 2017Amazon Web Services
Introducing AWS IoT Analytics, the new managed service that lets customers structure, preprocess, store, analyze, and visualize connected device data. The service team will walk through the service’s features and introduce two customer use cases from the private beta.
NEW LAUNCH! Bring Alexa to Work! Voice-enable Your Organization with Alexa fo...Amazon Web Services
In this session, we'll introduce you to the voice-enabled workplace, and show you how Alexa can help employees work smarter by acting as their personal digital assistant. We'll also show you how Alexa transforms your conference rooms, and provides a better telephony experience. And we'll talk through how custom voice skills can be used by employees and customers alike. Finally, we'll explain how Alexa for Business allows you to do all this in a scalable and secure way.
CMP314_Bringing Deep Learning to the Cloud with Amazon EC2Amazon Web Services
Join us as we explore how SigOpt is using AWS to optimize machine learning and AI pipelines. SigOpt is an Optimization-as-a-Service platform that seamlessly tunes model configuration parameters through via an ensemble of optimization algorithms behind a simple API. This results in captured performance that may otherwise be left on the table by conventional techniques while also reducing the time and cost for developing and optimizing new models. In this session, you will learn how SigOpt has optimized ML and AI pipelines on Amazon EC2 instances for various algorithms (including the latest generation of GPU optimized instances), as well as how they internally leverage AWS to build their flexible and scalable platform and evaluation framework
In this workshop, you get a fully working mobile game that includes common mobile game features, such as authentication, DLC, gifting, leaderboards, and analytics. However, nothing on the server side is built yet. It’s a time for you to breathe life into the game by using the given AWS Lambda code and other AWS services. To do this, bring your own laptop and at least a basic understanding of several AWS services: Amazon Cognito, AWS Lambda, Amazon API Gateway, Amazon S3, Amazon CloudFront, Amazon DynamoDB, Amazon SNS, Amazon SQS, Amazon Kinesis, and Amazon Mobile Analytics.
Get Started Developing with Alexa and DrupalAmber Matz
The Internet of Things revolution has ushered in a wave of “Smart Home” devices and gadgets, and with it, new opportunities for creative hacking and software development. The Amazon Echo suite of devices, using the Internet-connected conversational interface commonly known as “Alexa”, is backed by a developer-friendly ecosystem with open source tools, documentation, tutorials, code examples, and a free (as in no-cost) open invitation to developers to create “Alexa Custom Skills” that anyone can download and use with their Echo devices.
In this session, you will learn:
- What to consider when designing a voice user interface
- The various components of an Alexa custom skill
- How to proceed through the custom skill development process
- 3 implementation methods including 2 ways to integrate Drupal data into your skill
To get the most out of this presentation, you should be an intermediate coder, and comfortable tinkering with code. But you don’t have to be a Node expert, a Drupal expert, or a Web Services expert to create a custom Alexa skill. It’s a pretty accessible development experience.
Learning Objectives & Outcomes:
By the end of this presentation, you should feel empowered and ready to create your own custom Alexa skill, with or without Drupal integration.
On 30 April at European School IV in Brussels, 250 girls from thirty-three schools across Belgium celebrated International Girls in ICT Day 2016 by participating in Belgium’s first-ever Digital Muse “Girl Tech Fest,” an all-day event promoting digital and creative skills…
https://ec.europa.eu/digital-single-market/en/node/87018
The Alexa skills hands-on workshop teaching 11-16 years old about coding in JSON and how to create an alexa skill.
The Girl Tech Fest was featured in the Saturday evening news on BX1 television: http://bx1.be/news/une-journee-pour-promouvoir-la-presence-des-femmes-dans-les-metiers-de-la-technologie/
Advocate for STEM content that relates to girls & work hard to recognize.
AWS DeepLens Workshop: Building Computer Vision Applications - BDA201 - Anahe...Amazon Web Services
In this workshop, learn how to build and deploy computer vision models using the AWS DeepLens deep learning-enabled video camera. Learn to build a machine learning model from scratch using Amazon SageMaker, and get hands-on experience with AWS DeepLens by extending that model to build an end-to-end AI application using Amazon Rekognition. Attendees also learn about use cases built by the community which integrate other AWS services and extend the functionality of AWS DeepLens. Please note, you must have an AWS account to participate in this workshop. If setting up a new account, please do so at least 24 hours in advance of the workshop.
NEW LAUNCH! Deploy Alexa In Your Organization with Alexa for Business - BAP20...Amazon Web Services
Alexa for Business allows you to deploy and manage Alexa skills for your organization. You can use Alexa skills to create smart conference rooms, help employees be more productive, or even create unique experience for your customers. In this workshop, you will have a chance to get hands on with the new Alexa for Business service. You will create an Alexa for Business organization, set up a private skills catalog for your organization, and publish skills to your catalog. You’ll set up personal device enrollment, configure access policies for employees, and turn on voice authentication. Finally, you’ll set up a virtual Alexa-enabled conference room, and configure default dial-in information to be able to join meetings using your voice. Bring your existing AWS account; no previous Alexa experience is required.
AWS DeepLens Workshop: Building Computer Vision Applications - BDA201 - Chica...Amazon Web Services
In this workshop, learn how to build and deploy computer vision models using the AWS DeepLens deep learning-enabled video camera. Learn to build a machine learning model from scratch using Amazon SageMaker, and get hands-on experience with AWS DeepLens by extending that model to build an end-to-end AI application using Amazon Rekognition. Attendees also learn about use cases built by the community which integrate other AWS services and extend the functionality of AWS DeepLens.
BDA210 AWS DeepLens Workshop Building Computer Vision Applications Amazon Web Services
In this workshop, developers have the opportunity to learn how to build and deploy computer vision models using the AWS DeepLens deep-learning-enabled video camera. By working hands on, developers of all skill levels can explore and build their own deep-learning-powered computer vision applications using Amazon SageMaker and AWS DeepLens devices. Attendees can experiment with different sample projects for face detection, object detection, artistic style transfer, and other machine learning use cases using Apache MXNet. Attendees also learn about use cases that integrate other AWS services that extend the functionality of AWS DeepLens, such as AWS Lambda, Amazon Polly, and Amazon Rekognition.
AWS DeepLens Workshop_Build Computer Vision Applications Amazon Web Services
In this workshop, developers have the opportunity to learn how to build and deploy computer vision models using the AWS DeepLens deep-learning-enabled video camera. By working hands on, developers of all skill levels can explore and build their own deep-learning-powered computer vision applications using Amazon SageMaker and AWS DeepLens devices. Attendees can experiment with different sample projects for face detection, object detection, artistic style transfer, and other machine learning use cases using Apache MXNet. Attendees also learn about use cases that integrate other AWS services that extend the functionality of AWS DeepLens, such as AWS Lambda, Amazon Polly, and Amazon Rekognition.
AWS DeepLens Workshop: Building Computer Vision Applications - BDA201 - Atlan...Amazon Web Services
In this workshop, learn how to build and deploy computer vision models using the AWS DeepLens deep learning-enabled video camera. Learn to build a machine learning model from scratch using Amazon SageMaker, and get hands-on experience with AWS DeepLens by extending that model to build an end-to-end AI application using Amazon Rekognition. Attendees also learn about use cases built by the community which integrate other AWS services and extend the functionality of AWS DeepLens. Please note, you must have an AWS account to participate in this workshop. If setting up a new account, please do this at least 24 hours in advance of the workshop.
How to Build a Backend for an Alexa Smart Home Skill - ALX316 - re:Invent 2017Amazon Web Services
In this hands-on workshop, you learn how to build a skill and a supporting backend for Alexa that uses the APIs for Alexa Smart Home. This session involves creating a solution that implements some of the key services in supporting an Alexa Smart Home Skill including directive and event handling, device discovery, endpoint messages, and asynchronous messaging.
Want to build a custom app for Google Home or Google Assistant? Learn the basic concepts and how you can create a custom app to reach your users on new platforms (Google Home, Android, iPhone, and more) and help them get things done.
We'll use serverless tools like Google Cloud Functions as well as API.AI to do intelligent routing of commands to entities and intents.
Video of this talk available at: https://www.youtube.com/watch?v=C492KgDMO0c&list=PLlCd2ljeqltbJQQ79eyxbresnaKkP0TgS&index=1
Customer Automation Masterclass - Workshop 1: Data Enrichment using ClearbitJanBogaert8
In this first masterclass workshop, you'll learn how to write a custom-coded workflow action aimed at enriching your HubSpot CRM data with company information sourced from Clearbit. This is ideal for sales teams who want to adopt an account-based selling approach or for marketing teams interested in account-based marketing.
A talk about Google Assistant Development and Integration with API.AI Natural Language Understanding platform, reviewing main concepts like Conversation Design, Intents, Entities, Surface Capabilities and both Graphic and Voice User Interface elements.
IT Camp 2019: How to build your first Alexa skill in under one hourIonut Balan
The presentation I gave at IT Camp 2019 conference about how to build your first Alexa skill in under one hour using .NET Core, macOS and Azure Functions.
Build the Next-Gen Meeting Room Experience Using Alexa for Business (BAP303-R...Amazon Web Services
Alexa for Business brings a conversational UI to help you simplify your meeting room experience. In this session, learn how you can bring Alexa for Business to your meeting room and integrate it with your existing meeting room systems. In addition, the Amazon IT team discusses best practices, and they describe how they piloted and deployed Alexa for Business in over 800 conference rooms at Amazon.
Similar to ALX306_Build a Game Skill for Echo Buttons! (20)
Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...Amazon Web Services
Il Forecasting è un processo importante per tantissime aziende e viene utilizzato in vari ambiti per cercare di prevedere in modo accurato la crescita e distribuzione di un prodotto, l’utilizzo delle risorse necessarie nelle linee produttive, presentazioni finanziarie e tanto altro. Amazon utilizza delle tecniche avanzate di forecasting, in parte questi servizi sono stati messi a disposizione di tutti i clienti AWS.
In questa sessione illustreremo come pre-processare i dati che contengono una componente temporale e successivamente utilizzare un algoritmo che a partire dal tipo di dato analizzato produce un forecasting accurato.
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...Amazon Web Services
La varietà e la quantità di dati che si crea ogni giorno accelera sempre più velocemente e rappresenta una opportunità irripetibile per innovare e creare nuove startup.
Tuttavia gestire grandi quantità di dati può apparire complesso: creare cluster Big Data su larga scala sembra essere un investimento accessibile solo ad aziende consolidate. Ma l’elasticità del Cloud e, in particolare, i servizi Serverless ci permettono di rompere questi limiti.
Vediamo quindi come è possibile sviluppare applicazioni Big Data rapidamente, senza preoccuparci dell’infrastruttura, ma dedicando tutte le risorse allo sviluppo delle nostre le nostre idee per creare prodotti innovativi.
Ora puoi utilizzare Amazon Elastic Kubernetes Service (EKS) per eseguire pod Kubernetes su AWS Fargate, il motore di elaborazione serverless creato per container su AWS. Questo rende più semplice che mai costruire ed eseguire le tue applicazioni Kubernetes nel cloud AWS.In questa sessione presenteremo le caratteristiche principali del servizio e come distribuire la tua applicazione in pochi passaggi
Vent'anni fa Amazon ha attraversato una trasformazione radicale con l'obiettivo di aumentare il ritmo dell'innovazione. In questo periodo abbiamo imparato come cambiare il nostro approccio allo sviluppo delle applicazioni ci ha permesso di aumentare notevolmente l'agilità, la velocità di rilascio e, in definitiva, ci ha consentito di creare applicazioni più affidabili e scalabili. In questa sessione illustreremo come definiamo le applicazioni moderne e come la creazione di app moderne influisce non solo sull'architettura dell'applicazione, ma sulla struttura organizzativa, sulle pipeline di rilascio dello sviluppo e persino sul modello operativo. Descriveremo anche approcci comuni alla modernizzazione, compreso l'approccio utilizzato dalla stessa Amazon.com.
Come spendere fino al 90% in meno con i container e le istanze spot Amazon Web Services
L’utilizzo dei container è in continua crescita.
Se correttamente disegnate, le applicazioni basate su Container sono molto spesso stateless e flessibili.
I servizi AWS ECS, EKS e Kubernetes su EC2 possono sfruttare le istanze Spot, portando ad un risparmio medio del 70% rispetto alle istanze On Demand. In questa sessione scopriremo insieme quali sono le caratteristiche delle istanze Spot e come possono essere utilizzate facilmente su AWS. Impareremo inoltre come Spreaker sfrutta le istanze spot per eseguire applicazioni di diverso tipo, in produzione, ad una frazione del costo on-demand!
In recent months, many customers have been asking us the question – how to monetise Open APIs, simplify Fintech integrations and accelerate adoption of various Open Banking business models. Therefore, AWS and FinConecta would like to invite you to Open Finance marketplace presentation on October 20th.
Event Agenda :
Open banking so far (short recap)
• PSD2, OB UK, OB Australia, OB LATAM, OB Israel
Intro to Open Finance marketplace
• Scope
• Features
• Tech overview and Demo
The role of the Cloud
The Future of APIs
• Complying with regulation
• Monetizing data / APIs
• Business models
• Time to market
One platform for all: a Strategic approach
Q&A
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...Amazon Web Services
Per creare valore e costruire una propria offerta differenziante e riconoscibile, le startup di successo sanno come combinare tecnologie consolidate con componenti innovativi creati ad hoc.
AWS fornisce servizi pronti all'utilizzo e, allo stesso tempo, permette di personalizzare e creare gli elementi differenzianti della propria offerta.
Concentrandoci sulle tecnologie di Machine Learning, vedremo come selezionare i servizi di intelligenza artificiale offerti da AWS e, anche attraverso una demo, come costruire modelli di Machine Learning personalizzati utilizzando SageMaker Studio.
OpsWorks Configuration Management: automatizza la gestione e i deployment del...Amazon Web Services
Con l'approccio tradizionale al mondo IT per molti anni è stato difficile implementare tecniche di DevOps, che finora spesso hanno previsto attività manuali portando di tanto in tanto a dei downtime degli applicativi interrompendo l'operatività dell'utente. Con l'avvento del cloud, le tecniche di DevOps sono ormai a portata di tutti a basso costo per qualsiasi genere di workload, garantendo maggiore affidabilità del sistema e risultando in dei significativi miglioramenti della business continuity.
AWS mette a disposizione AWS OpsWork come strumento di Configuration Management che mira ad automatizzare e semplificare la gestione e i deployment delle istanze EC2 per mezzo di workload Chef e Puppet.
Scopri come sfruttare AWS OpsWork a garanzia e affidabilità del tuo applicativo installato su Instanze EC2.
Microsoft Active Directory su AWS per supportare i tuoi Windows WorkloadsAmazon Web Services
Vuoi conoscere le opzioni per eseguire Microsoft Active Directory su AWS? Quando si spostano carichi di lavoro Microsoft in AWS, è importante considerare come distribuire Microsoft Active Directory per supportare la gestione, l'autenticazione e l'autorizzazione dei criteri di gruppo. In questa sessione, discuteremo le opzioni per la distribuzione di Microsoft Active Directory su AWS, incluso AWS Directory Service per Microsoft Active Directory e la distribuzione di Active Directory su Windows su Amazon Elastic Compute Cloud (Amazon EC2). Trattiamo argomenti quali l'integrazione del tuo ambiente Microsoft Active Directory locale nel cloud e l'utilizzo di applicazioni SaaS, come Office 365, con AWS Single Sign-On.
Dal riconoscimento facciale al riconoscimento di frodi o difetti di fabbricazione, l'analisi di immagini e video che sfruttano tecniche di intelligenza artificiale, si stanno evolvendo e raffinando a ritmi elevati. In questo webinar esploreremo le possibilità messe a disposizione dai servizi AWS per applicare lo stato dell'arte delle tecniche di computer vision a scenari reali.
Amazon Web Services e VMware organizzano un evento virtuale gratuito il prossimo mercoledì 14 Ottobre dalle 12:00 alle 13:00 dedicato a VMware Cloud ™ on AWS, il servizio on demand che consente di eseguire applicazioni in ambienti cloud basati su VMware vSphere® e di accedere ad una vasta gamma di servizi AWS, sfruttando a pieno le potenzialità del cloud AWS e tutelando gli investimenti VMware esistenti.
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
Crea la tua prima serverless ledger-based app con QLDB e NodeJSAmazon Web Services
Molte aziende oggi, costruiscono applicazioni con funzionalità di tipo ledger ad esempio per verificare lo storico di accrediti o addebiti nelle transazioni bancarie o ancora per tenere traccia del flusso supply chain dei propri prodotti.
Alla base di queste soluzioni ci sono i database ledger che permettono di avere un log delle transazioni trasparente, immutabile e crittograficamente verificabile, ma sono strumenti complessi e onerosi da gestire.
Amazon QLDB elimina la necessità di costruire sistemi personalizzati e complessi fornendo un database ledger serverless completamente gestito.
In questa sessione scopriremo come realizzare un'applicazione serverless completa che utilizzi le funzionalità di QLDB.
Con l’ascesa delle architetture di microservizi e delle ricche applicazioni mobili e Web, le API sono più importanti che mai per offrire agli utenti finali una user experience eccezionale. In questa sessione impareremo come affrontare le moderne sfide di progettazione delle API con GraphQL, un linguaggio di query API open source utilizzato da Facebook, Amazon e altro e come utilizzare AWS AppSync, un servizio GraphQL serverless gestito su AWS. Approfondiremo diversi scenari, comprendendo come AppSync può aiutare a risolvere questi casi d’uso creando API moderne con funzionalità di aggiornamento dati in tempo reale e offline.
Inoltre, impareremo come Sky Italia utilizza AWS AppSync per fornire aggiornamenti sportivi in tempo reale agli utenti del proprio portale web.
Database Oracle e VMware Cloud™ on AWS: i miti da sfatareAmazon Web Services
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
In queste slide, gli esperti AWS e VMware presentano semplici e pratici accorgimenti per facilitare e semplificare la migrazione dei carichi di lavoro Oracle accelerando la trasformazione verso il cloud, approfondiranno l’architettura e dimostreranno come sfruttare a pieno le potenzialità di VMware Cloud ™ on AWS.
Amazon Elastic Container Service (Amazon ECS) è un servizio di gestione dei container altamente scalabile, che semplifica la gestione dei contenitori Docker attraverso un layer di orchestrazione per il controllo del deployment e del relativo lifecycle. In questa sessione presenteremo le principali caratteristiche del servizio, le architetture di riferimento per i differenti carichi di lavoro e i semplici passi necessari per poter velocemente migrare uno o più dei tuo container.
14. Sample GameEngine.StartInputHandler directive
• Contains list of recognizers that define
button actions to track in the game engine
• Each recognizer contains a pattern that can
match on color, actions and optionally,
specific buttons via named gadgetIDs
• Contains list of named events bound to
meets and fails recognizer statements
using boolean ‘and’ logic. i.e. more than
one named recognizer in a meets property
means they both must be fulfilled to fire the
event to your lambda function
16. GadgetController.SetLight Example directive
• Can be directed at a list of gadgetIDs in
the targetGadgets list
• Contains a list of sequence objects that
designate the duration, color, intensity and
fade/blend behavior that will be executed
in order based on the triggerEvent
• triggerEvent that is one of ‘none’,
‘buttonDown’ or ‘buttonUp’. Tells the
button on what action to start the
animation. ‘none’ means play without
waiting for button action
• triggerEventTimeMs is how long to wait
after the trigger even to play the animation
22. Getting in the weeds - GameEngine
The GameEngine is:
• A new service in Alexa that listens for button
events based on rules you specify from your skills.
The GameEngine has two primary directives
available to skill developers
• GameEngine.StartInputHandler which is a signal
to the service layer, based on a set of Recognizer
objects you specify, that will trigger an event to
your lambda function.
• GameEngine.StopInputHandler is a construct for
terminating any input handlers you might have
running when you need to stop gameplay to
address something else in the skill, like if a user
asks for help.