Walk through of building a skill for Amazon Alexa, using the updated developer console for the interaction model and the serverless framework for deploying and testing our lambda function.
This document discusses improving development workflow by focusing on tools and techniques like diagram modeling, linting, sniffing, code fixers, and version control. It emphasizes that workflow is paramount and a dialog with peers that involves accumulating small improvements over time through techniques like planning code structure visually before writing it and using tools to catch errors and standard violations early.
This presentation is from a one-day bootcamp guides you through creating an Alexa Skill (interactive voice application) running on serverless AWS services (Amazon DynamoDB and AWS Lambda).
Design and Develop Alexa Skills - Codemotion Rome 2019Aleanan
Voice user interfaces have more and more impact on our daily lives: on our mobile phones, in our homes and in offices. The techniques and metaphors of graphical user interfaces do not apply to the world of voice. VUI design must be based on the "conversation", the first communication system we have learned and also the one we know best. Alessandra Petromilli (CXO) and Federico Baron (Software Architect) will guide you through the challenges related to the design and development with node.js of Alexa Skills starting from the use case "Filastrocche delle Buona Notte" designed and developed for Giunti Editore.
Ansible training | redhat Ansible 2.5 Corporate course - GOTkeerthi124
Ansible training makes you learn all that is required to provision. redhat Ansible 2.5 Corporate course from India gives best job support by top experts.
For more info visit : https://www.globalonlinetrainings.com/ansible-training
This document provides instructions for building a DIY Amazon Echo using a Raspberry Pi by connecting it to the Amazon Alexa Voice Service. It discusses what the Amazon Echo is, how the Alexa Voice Service works, and then provides step-by-step instructions for setting up the necessary developer account and security profile, cloning the Alexa sample app code, configuring the app with custom credentials, running the installation script and various processes to enable voice control of the Pi. Examples of custom skills and controlling additional IoT devices are also briefly mentioned.
An overview of Alexa skills development. Learn about types of skills possible and components of a typical skill. Also get an overview of "voice user interface" aka "VUI" and its three properties - intents, utterances, and slots.
[Note: slides are from a beginner Alexa skills workshop.]
The document provides an overview of a 3-day Alexa 101 course. The course will cover building an Alexa skill from scratch using AWS Lambda, introducing tools like the Alexa Skills Kit and Echo Simulator, customizing skills with hosted audio files and a mobile companion app, and automating workflows using the AWS CLI. Each day focuses on different aspects: day 1 covers the basics of building a skill, day 2 adds mobile integration, and days 3 covers audio integration and database usage for personalization.
This document discusses improving development workflow by focusing on tools and techniques like diagram modeling, linting, sniffing, code fixers, and version control. It emphasizes that workflow is paramount and a dialog with peers that involves accumulating small improvements over time through techniques like planning code structure visually before writing it and using tools to catch errors and standard violations early.
This presentation is from a one-day bootcamp guides you through creating an Alexa Skill (interactive voice application) running on serverless AWS services (Amazon DynamoDB and AWS Lambda).
Design and Develop Alexa Skills - Codemotion Rome 2019Aleanan
Voice user interfaces have more and more impact on our daily lives: on our mobile phones, in our homes and in offices. The techniques and metaphors of graphical user interfaces do not apply to the world of voice. VUI design must be based on the "conversation", the first communication system we have learned and also the one we know best. Alessandra Petromilli (CXO) and Federico Baron (Software Architect) will guide you through the challenges related to the design and development with node.js of Alexa Skills starting from the use case "Filastrocche delle Buona Notte" designed and developed for Giunti Editore.
Ansible training | redhat Ansible 2.5 Corporate course - GOTkeerthi124
Ansible training makes you learn all that is required to provision. redhat Ansible 2.5 Corporate course from India gives best job support by top experts.
For more info visit : https://www.globalonlinetrainings.com/ansible-training
This document provides instructions for building a DIY Amazon Echo using a Raspberry Pi by connecting it to the Amazon Alexa Voice Service. It discusses what the Amazon Echo is, how the Alexa Voice Service works, and then provides step-by-step instructions for setting up the necessary developer account and security profile, cloning the Alexa sample app code, configuring the app with custom credentials, running the installation script and various processes to enable voice control of the Pi. Examples of custom skills and controlling additional IoT devices are also briefly mentioned.
An overview of Alexa skills development. Learn about types of skills possible and components of a typical skill. Also get an overview of "voice user interface" aka "VUI" and its three properties - intents, utterances, and slots.
[Note: slides are from a beginner Alexa skills workshop.]
The document provides an overview of a 3-day Alexa 101 course. The course will cover building an Alexa skill from scratch using AWS Lambda, introducing tools like the Alexa Skills Kit and Echo Simulator, customizing skills with hosted audio files and a mobile companion app, and automating workflows using the AWS CLI. Each day focuses on different aspects: day 1 covers the basics of building a skill, day 2 adds mobile integration, and days 3 covers audio integration and database usage for personalization.
Reimagining your user experience with Amazon Lex, Amazon Polly and Alexa Ski...Amazon Web Services
AWS offers a family of AI services that provide cloud-native Machine Learning and Deep Learning technologies, allowing developers to build an entirely new generation of apps that can hear, speak, understand, and converse with application users. When creating chat- and voice-enabled applications, developers have the choice of building with Amazon Lex and Amazon Polly, or, with the Alexa Skills Kit, available now in Australia and New Zealand. With the Alexa Skills Kit, you can build engaging skills to reach customers through tens of millions of Alexa-enabled devices, like the Amazon Echo and Echo Dot.
Building a Better .NET Bot with AWS Services - WIN205 - re:Invent 2017Amazon Web Services
With the recent introduction of AWS Tools for Visual Studio Team Services, .NET developers have more ways than ever to easily use AWS services for their .NET applications. In this workshop, we run through building a .NET chatbot as we take advantage of AWS Lambda and Amazon Lex. The best part? You can build and deploy the chatbot directly to AWS without ever leaving Visual Studio.
With the recent introduction of AWS Tools for Visual Studio Team Services, .NET developers have more ways than ever to easily use AWS services for their .NET applications. In this workshop, we run through building a .NET chatbot as we take advantage of AWS Lambda and Amazon Lex. The best part? You can build and deploy the chatbot directly to AWS without ever leaving Visual Studio.
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.
This document discusses how to create an Alexa smart home skill. It describes the different types of Alexa skills - custom interaction model skills, smart home skills, and flash briefing skills. It focuses on smart home skills, which allow users to control smart home devices using natural language. The key steps to creating a smart home skill are to create a Login with Amazon profile, register the smart home skill, and create a Lambda function. It provides examples of the requests and responses involved in discovering devices and controlling them, such as turn on/off requests. It also discusses error responses and demonstrates the skill.
This document provides an overview of AWS Lambda including:
- What Lambda is and how it runs code in the cloud
- How to create and configure Lambda functions using the dashboard
- Testing and versioning Lambda functions
- Using Lambda layers to share code between functions
- Developing Lambda functions locally using the AWS Serverless Application Model (SAM)
- Debugging Lambda functions locally in Visual Studio Code
Marcel Pociot "Alexa, let's build a voice-powered app"Fwdays
With devices such as Amazon’s Alexa or Google Home, voice assistants have gotten into our lives. It’s undisputed that voice-powered applications can have a tremendous impact on your life and your business. Let’s try and build a voice-powered application ourselves and even summon Alexa on stage.
Notes: This talk will cover a lot of aspects of how to create voice-powered applications on your own. I will cover the general idea of how these devices work, will demo an HTML5 powered example application and will talk about how to create custom Alexa skills using PHP.
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.
"Scaling ML from 0 to millions of users", Julien Simon, AWS Dev Day Kyiv 2019Provectus
AWS Dev Day Kyiv 2019
Track: Analytics & Machine Learning
Session: ""Scaling ML from 0 to millions of users""
Speaker: Julien Simon, Global AI & Machine Learning Evangelist at AWS
Level: 300
AWS Dev Day is a free, full-day technical event where new developers will learn about some of the hottest topics in cloud computing, and experienced developers can dive deep on newer AWS services.
Provectus has organized AWS Dev Day Kyiv in close collaboration with Amazon Web Services: 800+ participants, 18 sessions, 3 tracks, a really AWSome Day!
Now, together with Zeo Alliance, we're building and nurturing AWS User Group Ukraine — join us on Facebook to stay updated about cloud technologies and AWS services: https://www.facebook.com/groups/AWSUserGroupUkraine
Video: https://www.youtube.com/watch?v=N73u1mx9DqY
Real-world development Decomposing a serverless skills-based routing application on AWS
Presenter: Adam Larter, Principal Solutions Architect, Developer Specialist
Build a Game for Echo Buttons - an Alexa Gadget! (ALX405-R2) - AWS re:Invent ...Amazon Web Services
Games are an integral part of our lives, and they enable us to build more creatively on every platform. In this session, we talk about bringing your IP to Alexa and engaging with players on tens of millions of Alexa devices. Participate in this interactive session, and learn how to build a game that incorporates gaming-friendly Alexa Gadgets called Echo Buttons. This session is aimed at advanced developers who have previously built Alexa skills. Bring your laptop. Also be sure to have an AWS account and credentials for the Amazon Developer Portal.
Building Voice Controls and Integrating with Automation Actions on an IoT Net...Intel® Software
Voice recognition is a natural method that people can use to interact with and automate smart devices. In this session, we build a microservice for automation of IoT using local fog computing resources and cloud-based serverless functions. We also create a voice-enabled chatbot that triggers automatic actions on an IoT network.
This document provides information on building skills for Alexa using APIs and ColdBox frameworks. It discusses setting up Amazon developer accounts and AWS services accounts. It also covers creating Lambda functions in Node.js to call APIs from Alexa skills and building ColdBox REST APIs to interface with Alexa skills. The document includes code snippets for sample Lambda functions and ColdBox handlers to integrate with Alexa skills.
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.
This document summarizes a presentation about building voice experiences for Alexa. It provides an overview of Alexa, how it works, and steps to build a basic skill in 5 minutes or less. Tips are given for the certification process and monitoring Alexa skills. Links are also provided for additional documentation.
Build and deployment with Jenkins and Code Deploy on AWSmitesh_sharma
This document discusses using Jenkins and AWS CodeDeploy for continuous integration and deployment. It describes building code on a Jenkins machine and deploying it to AWS EC2 instances using CodeDeploy. Key steps include assigning roles and permissions, installing CodeDeploy agents, creating applications and deployment groups, uploading revisions, and monitoring deployments. The document notes issues with building and deploying from the same place and advocates decoupling build and deployment to allow deploying the same build to multiple environments.
The document discusses using Parse Cloud Code to build web applications, including basic operations like create, read, update, delete, how Parse and RESTful APIs work, and how to use Cloud Code to call external APIs, run background jobs, and include other JavaScript modules.
Build Your Kubernetes Operator with the Right Tool!Rafał Leszko
The document discusses different tools and frameworks for building Kubernetes operators, including the Operator SDK, Helm, Ansible, Go, KOPF, Java Operator SDK, and using bare programming languages. It provides examples of creating operators using the Operator SDK with Helm, Ansible and Go plugins, and also using the KOPF Python framework. The document highlights the key steps and capabilities of each approach.
ITB2019 Easily Build Amazon Alexa skills with ColdFusion - Mike CallahanOrtus Solutions, Corp
Code Examples: https://github.com/mikecallahan/cfalexa
Learn how super simple it can be to create custom "Skills" with ColdFusion to use on Amazon Alexa devices. Walk away with an understanding of how Alexa voice technology works and, most importantly, how you can utilize ColdFusion to easily build your own custom skills. This session will cover everything from using CommandBox to initiate your development using a ForgeBox package to consuming utterances, intents and slots and creating custom voice responses that engage and interact with your user. Learn how to use the Amazon Developer portal in conjunction with ColdFusion to rapidly build your own custom Alexa skills. At the end of the session you will walk away with everything you will need including a ColdFusion framework and template to immediately get started. Voice technology is the future and ColdFusion is the tool that can deliver rapid results. Join this session to see just how super easy it can be.
This document summarizes a presentation about testing APIs built with Laravel. It discusses testing API concepts in Laravel, including testing models, database interactions, HTTP requests, responses, and validation. It provides examples of building an API for user groups, events, and venues using Laravel resources, requests, and testing methods like assertStatus and assertJson. The goal is to gradually build out the API with tests to ensure functionality without using an API client.
Reimagining your user experience with Amazon Lex, Amazon Polly and Alexa Ski...Amazon Web Services
AWS offers a family of AI services that provide cloud-native Machine Learning and Deep Learning technologies, allowing developers to build an entirely new generation of apps that can hear, speak, understand, and converse with application users. When creating chat- and voice-enabled applications, developers have the choice of building with Amazon Lex and Amazon Polly, or, with the Alexa Skills Kit, available now in Australia and New Zealand. With the Alexa Skills Kit, you can build engaging skills to reach customers through tens of millions of Alexa-enabled devices, like the Amazon Echo and Echo Dot.
Building a Better .NET Bot with AWS Services - WIN205 - re:Invent 2017Amazon Web Services
With the recent introduction of AWS Tools for Visual Studio Team Services, .NET developers have more ways than ever to easily use AWS services for their .NET applications. In this workshop, we run through building a .NET chatbot as we take advantage of AWS Lambda and Amazon Lex. The best part? You can build and deploy the chatbot directly to AWS without ever leaving Visual Studio.
With the recent introduction of AWS Tools for Visual Studio Team Services, .NET developers have more ways than ever to easily use AWS services for their .NET applications. In this workshop, we run through building a .NET chatbot as we take advantage of AWS Lambda and Amazon Lex. The best part? You can build and deploy the chatbot directly to AWS without ever leaving Visual Studio.
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.
This document discusses how to create an Alexa smart home skill. It describes the different types of Alexa skills - custom interaction model skills, smart home skills, and flash briefing skills. It focuses on smart home skills, which allow users to control smart home devices using natural language. The key steps to creating a smart home skill are to create a Login with Amazon profile, register the smart home skill, and create a Lambda function. It provides examples of the requests and responses involved in discovering devices and controlling them, such as turn on/off requests. It also discusses error responses and demonstrates the skill.
This document provides an overview of AWS Lambda including:
- What Lambda is and how it runs code in the cloud
- How to create and configure Lambda functions using the dashboard
- Testing and versioning Lambda functions
- Using Lambda layers to share code between functions
- Developing Lambda functions locally using the AWS Serverless Application Model (SAM)
- Debugging Lambda functions locally in Visual Studio Code
Marcel Pociot "Alexa, let's build a voice-powered app"Fwdays
With devices such as Amazon’s Alexa or Google Home, voice assistants have gotten into our lives. It’s undisputed that voice-powered applications can have a tremendous impact on your life and your business. Let’s try and build a voice-powered application ourselves and even summon Alexa on stage.
Notes: This talk will cover a lot of aspects of how to create voice-powered applications on your own. I will cover the general idea of how these devices work, will demo an HTML5 powered example application and will talk about how to create custom Alexa skills using PHP.
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.
"Scaling ML from 0 to millions of users", Julien Simon, AWS Dev Day Kyiv 2019Provectus
AWS Dev Day Kyiv 2019
Track: Analytics & Machine Learning
Session: ""Scaling ML from 0 to millions of users""
Speaker: Julien Simon, Global AI & Machine Learning Evangelist at AWS
Level: 300
AWS Dev Day is a free, full-day technical event where new developers will learn about some of the hottest topics in cloud computing, and experienced developers can dive deep on newer AWS services.
Provectus has organized AWS Dev Day Kyiv in close collaboration with Amazon Web Services: 800+ participants, 18 sessions, 3 tracks, a really AWSome Day!
Now, together with Zeo Alliance, we're building and nurturing AWS User Group Ukraine — join us on Facebook to stay updated about cloud technologies and AWS services: https://www.facebook.com/groups/AWSUserGroupUkraine
Video: https://www.youtube.com/watch?v=N73u1mx9DqY
Real-world development Decomposing a serverless skills-based routing application on AWS
Presenter: Adam Larter, Principal Solutions Architect, Developer Specialist
Build a Game for Echo Buttons - an Alexa Gadget! (ALX405-R2) - AWS re:Invent ...Amazon Web Services
Games are an integral part of our lives, and they enable us to build more creatively on every platform. In this session, we talk about bringing your IP to Alexa and engaging with players on tens of millions of Alexa devices. Participate in this interactive session, and learn how to build a game that incorporates gaming-friendly Alexa Gadgets called Echo Buttons. This session is aimed at advanced developers who have previously built Alexa skills. Bring your laptop. Also be sure to have an AWS account and credentials for the Amazon Developer Portal.
Building Voice Controls and Integrating with Automation Actions on an IoT Net...Intel® Software
Voice recognition is a natural method that people can use to interact with and automate smart devices. In this session, we build a microservice for automation of IoT using local fog computing resources and cloud-based serverless functions. We also create a voice-enabled chatbot that triggers automatic actions on an IoT network.
This document provides information on building skills for Alexa using APIs and ColdBox frameworks. It discusses setting up Amazon developer accounts and AWS services accounts. It also covers creating Lambda functions in Node.js to call APIs from Alexa skills and building ColdBox REST APIs to interface with Alexa skills. The document includes code snippets for sample Lambda functions and ColdBox handlers to integrate with Alexa skills.
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.
This document summarizes a presentation about building voice experiences for Alexa. It provides an overview of Alexa, how it works, and steps to build a basic skill in 5 minutes or less. Tips are given for the certification process and monitoring Alexa skills. Links are also provided for additional documentation.
Build and deployment with Jenkins and Code Deploy on AWSmitesh_sharma
This document discusses using Jenkins and AWS CodeDeploy for continuous integration and deployment. It describes building code on a Jenkins machine and deploying it to AWS EC2 instances using CodeDeploy. Key steps include assigning roles and permissions, installing CodeDeploy agents, creating applications and deployment groups, uploading revisions, and monitoring deployments. The document notes issues with building and deploying from the same place and advocates decoupling build and deployment to allow deploying the same build to multiple environments.
The document discusses using Parse Cloud Code to build web applications, including basic operations like create, read, update, delete, how Parse and RESTful APIs work, and how to use Cloud Code to call external APIs, run background jobs, and include other JavaScript modules.
Build Your Kubernetes Operator with the Right Tool!Rafał Leszko
The document discusses different tools and frameworks for building Kubernetes operators, including the Operator SDK, Helm, Ansible, Go, KOPF, Java Operator SDK, and using bare programming languages. It provides examples of creating operators using the Operator SDK with Helm, Ansible and Go plugins, and also using the KOPF Python framework. The document highlights the key steps and capabilities of each approach.
ITB2019 Easily Build Amazon Alexa skills with ColdFusion - Mike CallahanOrtus Solutions, Corp
Code Examples: https://github.com/mikecallahan/cfalexa
Learn how super simple it can be to create custom "Skills" with ColdFusion to use on Amazon Alexa devices. Walk away with an understanding of how Alexa voice technology works and, most importantly, how you can utilize ColdFusion to easily build your own custom skills. This session will cover everything from using CommandBox to initiate your development using a ForgeBox package to consuming utterances, intents and slots and creating custom voice responses that engage and interact with your user. Learn how to use the Amazon Developer portal in conjunction with ColdFusion to rapidly build your own custom Alexa skills. At the end of the session you will walk away with everything you will need including a ColdFusion framework and template to immediately get started. Voice technology is the future and ColdFusion is the tool that can deliver rapid results. Join this session to see just how super easy it can be.
This document summarizes a presentation about testing APIs built with Laravel. It discusses testing API concepts in Laravel, including testing models, database interactions, HTTP requests, responses, and validation. It provides examples of building an API for user groups, events, and venues using Laravel resources, requests, and testing methods like assertStatus and assertJson. The goal is to gradually build out the API with tests to ensure functionality without using an API client.
The symfony workflow component provides a mechanism for defining a life cycle or process which your objects move through, and checking if an object can move to a certain state, and updating the state of the object. This lightning talk introduces the component and how we can use it.
This document summarizes Phinx, a PHP library for managing database migrations. It allows creating migrations to modify the database schema, rolling back changes if needed. Migrations are stored in version control and can be shared. Phinx provides a table API to create migrations in a database-agnostic way and supports rolling back changes. It works with MySQL, PostgreSQL, SQLite and more.
The document discusses refactoring a codebase to use Symfony components. It covers installing components via Composer, using the Dependency Injection container Pimple to manage dependencies, refactoring routing logic with the Routing component, and parsing configuration files with the YAML component. It also discusses using the EventDispatcher component to avoid duplicated logic by dispatching events for common tasks like redirection and notifications.
Puppet is an open source tool used to automate server configuration management. It ensures servers are configured and packages installed as defined. Puppet manages configuration through resources like packages, files, users and more. It can install packages, configure files and folders, manage services, create users/groups, and run commands. Puppet applies configurations idempotently so they can be run multiple times without changing the server unless the configuration changes.
Twig is a template engine for PHP that allows developers to create powerful and flexible templates. It provides features like template inheritance, blocks, variables, filters, tags, and loops to integrate dynamic content. Templates can extend a base template, override blocks, and include other templates. Variables passed to templates can be accessed and filtered. Developers can also extend Twig with custom filters and functions.
This document provides an overview of object-oriented programming (OOP) concepts in PHP including classes, objects, encapsulation, polymorphism, inheritance, magic methods, interfaces, abstract classes, and type hinting. Key points covered include defining classes with properties and methods, instantiating objects from classes, visibility of properties and methods, extending and overriding parent classes, implementing interfaces, and using polymorphism through interfaces to allow different classes to be used interchangeably.
Vagrant allows users to define and configure lightweight virtual development environments. It uses VirtualBox to run virtual machines from a Vagrantfile configuration. The document discusses how Vagrant abstracts hardware, allows multiple operating systems to run concurrently on virtual hardware, and is limited by physical resources. It also outlines how in 3 lines users can download a base box, initialize a new Vagrant project, and boot the virtual machine. Key benefits of Vagrant include quick setup for new team members, ability to version control server configurations, and easy switching between projects.
Michael Peacock gave a presentation on Symfony components and related libraries. The presentation [1] introduced several Symfony components including routing, event dispatching, forms, validation, security, and HTTP foundation, [2] discussed related libraries like Pimple and Twig, and [3] covered how to install the components using Composer.
The document discusses the challenges of processing and storing billions of data inserts per day from vehicle telematics projects. Some key points:
- The project involves receiving continuous data streams from over 500 vehicles with 2500 data points captured per vehicle per second, resulting in over 1.5 billion MySQL inserts daily.
- A message queue is used to receive the streaming data and buffer inserts to help scale processing. Additional optimizations include bulk loading data via LOAD DATA INFILE for speed.
- Sharding and splitting the data across multiple databases by vehicle and time period (weekly tables) helps improve query performance for both live and historical data access.
- Techniques like asynchronous requests, caching, and a single entry point
Real time voice call integration - Confoo 2012Michael Peacock
This document provides an overview and comparison of the Twilio and Tropo telephony APIs. It discusses using these APIs to build applications for number verification, lead tracking, and more. Live coding demonstrations are included to show building a phone number verification application that makes calls to verify a number and logs the lead if they are transferred. The document also covers topics like browser/mobile clients, Twimlets, and the advantages of each API.
Dealing with Continuous Data Processing, ConFoo 2012Michael Peacock
- Smith Electric Vehicles produces all-electric commercial vehicles and collects large amounts of telemetry data from these vehicles.
- As the number of vehicles and amount of collected data grew, Smith Electric faced challenges around inserts, availability, capacity, storage, and queries that slowed their systems.
- To address these issues, Smith Electric implemented solutions like message queues, caching, memcached, lazy loading, sharding, and optimizing data types, indexes, and queries. They also improved deployment processes and application quality.
Data at Scale - Michael Peacock, Cloud Connect 2012Michael Peacock
Smith Electric Vehicles collects large amounts of telemetry data from its fleet of commercial electric vehicles. It was initially storing this data in a MySQL database, but faced issues with availability, capacity, and processing the data quickly enough to meet business needs. It addressed these issues by implementing a message queue to buffer incoming data, sharding/partitioning the data across multiple databases and tables, optimizing queries and indexes, and moving some processing to the cloud. These changes allowed it to reliably process over 1.5 billion data points per day and provide live dashboards and export reports.
Twilio provides APIs that allow developers to build voice and text messaging applications. The APIs allow developers to make and receive phone calls, send and receive text messages, buy phone numbers, record messages, and more. Developers can use the APIs by creating a Twilio account, buying a phone number, writing code to integrate with their number, and hosting the application on their own server. Twilio also offers pre-built applications called Twimlets that can be used without hosting code.
Michael Peacock discusses using Twilio and PHP to build telephony applications. Twilio allows developers to make phone calls, send SMS messages, and other telephony features through simple HTTP requests. Applications are controlled through XML responses which dictate what Twilio should say or do. PHP has a library that simplifies interacting with the Twilio API. Basic applications can be built in minutes to provide phone menus, gather input, and process responses. Twilio provides tools for debugging applications and offers services like phone numbers and hosting.
This document discusses PHP and continuous data processing for Smith Electric Vehicles. It describes how Smith collects thousands of data points per second from electric vehicles and uses PHP, message queuing, caching, and other techniques to process this large volume of real-time data. Key aspects include using a message queue to prevent data loss, optimizing database performance through sharding and tweaks by their expert DBA, and extrapolating data to reduce database load.
The registry pattern provides a central place to store commonly used objects, settings, and variables in an application. It defines methods to store and retrieve these items. Objects are stored and retrieved by key. To improve performance, a registry can implement lazy loading by only instantiating objects when they are first requested, rather than on every page load. This prevents bloat by reducing the resources needed upfront. Settings can also use lazy loading to only query related values when needed. The registry pattern provides a clean interface to access shared application components while improving efficiency.
Atelier - Innover avec l’IA Générative et les graphes de connaissancesNeo4j
Atelier - Innover avec l’IA Générative et les graphes de connaissances
Allez au-delà du battage médiatique autour de l’IA et découvrez des techniques pratiques pour utiliser l’IA de manière responsable à travers les données de votre organisation. Explorez comment utiliser les graphes de connaissances pour augmenter la précision, la transparence et la capacité d’explication dans les systèmes d’IA générative. Vous partirez avec une expérience pratique combinant les relations entre les données et les LLM pour apporter du contexte spécifique à votre domaine et améliorer votre raisonnement.
Amenez votre ordinateur portable et nous vous guiderons sur la mise en place de votre propre pile d’IA générative, en vous fournissant des exemples pratiques et codés pour démarrer en quelques minutes.
A Study of Variable-Role-based Feature Enrichment in Neural Models of CodeAftab Hussain
Understanding variable roles in code has been found to be helpful by students
in learning programming -- could variable roles help deep neural models in
performing coding tasks? We do an exploratory study.
- These are slides of the talk given at InteNSE'23: The 1st International Workshop on Interpretability and Robustness in Neural Software Engineering, co-located with the 45th International Conference on Software Engineering, ICSE 2023, Melbourne Australia
AI Pilot Review: The World’s First Virtual Assistant Marketing SuiteGoogle
AI Pilot Review: The World’s First Virtual Assistant Marketing Suite
👉👉 Click Here To Get More Info 👇👇
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See My Other Reviews Article:
(1) TubeTrivia AI Review: https://sumonreview.com/tubetrivia-ai-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
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Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
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OpenMetadata Community Meeting - 5th June 2024OpenMetadata
The OpenMetadata Community Meeting was held on June 5th, 2024. In this meeting, we discussed about the data quality capabilities that are integrated with the Incident Manager, providing a complete solution to handle your data observability needs. Watch the end-to-end demo of the data quality features.
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* How to run the test cases in your own ETL pipelines
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Watch the meeting recording here - https://www.youtube.com/watch?v=UbNOje0kf6E
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Discover the power of Cloud-Based IVR Solutions to streamline communication processes. Embrace scalability and cost-efficiency while enhancing customer experiences with features like automated call routing and voice recognition. Accessible from anywhere, these solutions integrate seamlessly with existing systems, providing real-time analytics for continuous improvement. Revolutionize your communication strategy today with Cloud-Based IVR Solutions. Learn more at: https://thesmspoint.com/channel/cloud-telephony
Code reviews are vital for ensuring good code quality. They serve as one of our last lines of defense against bugs and subpar code reaching production.
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SOCRadar's Aviation Industry Q1 Incident Report is out now!
The aviation industry has always been a prime target for cybercriminals due to its critical infrastructure and high stakes. In the first quarter of 2024, the sector faced an alarming surge in cybersecurity threats, revealing its vulnerabilities and the relentless sophistication of cyber attackers.
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What is Augmented Reality Image Trackingpavan998932
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No one wants their application to drag like a car stuck in the slow lane! Yet it’s all too common to encounter bumpy, pothole-filled solutions that slow the speed of any application. Symfony apps are not an exception.
In this talk, I will take you for a spin around the performance racetrack. We’ll explore common pitfalls - those hidden potholes on your application that can cause unexpected slowdowns. Learn how to spot these performance bumps early, and more importantly, how to navigate around them to keep your application running at top speed.
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16. Anatomy of a skill
◇ Interaction model
◇ Interfaces
◇ Endpoint
17. Interaction Model
Interaction model defines how our users will interact with our
skill, and how certain voice commands should map to
different parts of our skill.
18. Invocation
Skills need to be invoked, to either open the skill, or tell
Alexa that we are wanting a command to processed by a
particular skill.
20. Slot Types
◇ Before we worry about what our users want to do with
our skill
◇ We need to think about the variables they might want
to pass to us, so we can include them later.
69. SSML
Speech Synthesis Markup Language
this.emit(':tell', '<say-as interpret-as="interjection">Oh boy</say-
as><break time="1s"/> this is just an example.');
73. Credits
Special thanks to all the people who made and released
these awesome resources for free:
◇ Presentation template by SlidesCarnival
Editor's Notes
Conference bot – a skill to get information about a particular conference. We will use this to find out what is on in a particular room, and what a particular speaker is talking about. The interaction model maps what the user wants to do / find out about (the intent) to our code.
Amazon has a whole suite of Alexa base devices which tend to have different features when it comes to processing skills. Its also possible for Alexa to be built into non-amazon devices.
In this talk, we are focused around Audio only devices. These are the echo, echo dot and echo plus. They don’t have a screen, and so interaction with them is purely through audio commands.
Although the echo doesn’t have a screen, the mobile application serves as a companion app. It displays data sent from the skill. It can be used to send rich media such as images, or just text. Its also handy for improving the performance of Alexa, as it tells you what the alexa device heard, letting you play the exact audio, and confirm that it did the right thing. This is only data you see relating to your devices, you cannot get this information for other devices / users of your skill.
Some Alexa devices have a screen, but how they work is again slightly different. FireTV devices and Fire Tablets have Alexa support, but the interaction is essentially exclusively voice – the main difference is that you can display a “card” to the user, which contains companion information. The echo show does have touch screen support and both the show and spot have a camera built in, which allows a little more scope. You can use them to play videos, and there is support within the Alexa skills builders to support this.
This is a fire TV response, in addition to reading out the answer, it shows up on the screen.
And on the echo show.
- Walk through the flow: user asks, device looks up model in alexa, that processes the intent and communicates with your skill (sends a JSON payload) which returns a response (JSON payload) which is then sent to the device to read out and to the companion app.
Two sides to a skill: interaction model, and the endpoint (your code)
Developer console
Give the skill a name – this is just a name, its not used for users to interact with or invoke the skill
There are some pre-built models for things like flash-briefing and audio playing skills, we want to create a custom skill, so we select that.
Console. Items to configure on the left, checklist on the right, testing at the top.
Anatomy: Interaction model, interfaces, endpoint. Interfaces = audio player, display interface for screen and voice interaction and video app for video playback.
Interaction model defines how our users will interact with our skill, and how certain voice commands should map to different parts of our skill.
Skills need to be invoked, to either open the skill, or tell Alexa that we are wanting a command to processed by a particular skill.
Set an invokation name. Not a land grab.
In order for Alexa to pass custom information back to our skill, we need to define some slot types. In the context of wanting to ask about a particular speaker or conference room, we would define these as slot types. Why? etc
Geography: cities and states, only for certain countries. Date, time, numbers etc
Cancel, stop and help
Yes, No, stop, skip, and other media playback
We want to build some custom intents for our skill. We will want one to tell us what talks are happening now in a particular room, one to tell us about a particular speaker and maybe one to tell us about a particular talk.
Add intent – provide a name, and click create.
Once we are in the intent management screen, we can scroll down to intent slots, where we can link a slot type to our intent, this allows us to inform alexa that this intent is going to make use of or expect data to be passed in in the form of a slot.
We can configure the intent slot to make it mandatory
Utterances – these are lists of things a user might say to alexa with the same intent. E.g. what is happening in room A, whats happening in room A, which talks are on in room A. These are all different ways of asking the same question. We need to provide as many different utterances as possible.
Creating an utterance. Using curly brace lets us pull in a slot.
Lots of utterances
Within each section we need to save as we go along, however in order for the settings to be applied to our skill we need to build the skill. This allows the alexa service to essentially compile our intents, utterances and so on, so that it can apply it to incoming voice requests. This verifies the skill data, we cannot test the skill unless it has been built.
Install serverless with node, using the –g flag to install it gloabllay on our system
Run serverless create to create a new project. We are using the aws-nodejs template to tell serverless this is a project we will deploy to AWS (i.e. lambda functions) and we want to use nodejs. Lambda has support for Python, Node and Java. We also supply a path for where we want the project to be saved locally.
The framework will then create a project for us, including some boiler plate, which contains a configuration file and a javascript file.
Config file: service name – used as a prefix for the lambda function name when deploying. Details about the provider we will deploy to and the language being used, and a list of functions. These functions listed are how we map functions from our JS file to functions we want to deploy as stand alone Lambda functions. Our JS can have as many functions we want, for internal calls, however only exposed functions defined here are exposed as lambda functions which services such as alexa can call. It is also worth noting that if we want to run any of these functions with serverless, they have to be defined here too.
Sample JS, just a function – not alexa specific here.
Install alexa node sdk
Import the SDK
This function is our main handler, registered in our yaml file. We instantiate the alexa SDK, and we register some handlers, the handlers are the code which map to specific intents.
Handlers are defined in an object, mapping the intent name, to a call back function to be executed. Here on our launch request, i.e. our skill loads up, we tell Alexa to say “welcome to conference bot” with the speak method, and we pass the name of the skill and the message welcome, to the card renderer. When it comes to deploying or testing this, this will result in JSON output which tells Alexa to do these things, we will come to it later.
Since we want our skill to be able to tell us about rooms and talks and speakers, we need to give it access to that data. Ideally we would have our skill communicate with an API, but for the purposes of this demonstration, lets just have some data hard coded in. Since we are going to map slot value ids to data, we use those IDs as keys in our data array.
We can put together some helper functions which take the IDs and return relevant data. For the purposes of testing this, I have also added these to my serverless.yml file so they can be locally tested.
Finally, we can build up a handler for one of our intents. Here we take the intent from the request, and from that we take the ID of the conference room being provided. Because we are working with IDs and not just the value passed in, its nested quite far down the JSON that Alexa passes to us, but we will see that structure shortly. Once we have the ID, we can lookup the talks for that room, and tell Alexa to say something in response.
To locally test a function, we can use the invoke local command within serverless, and tell it which function we want to invoke (must be exposed in serverless.yml) and pass some data. Based on our code, this means if I pass in my speaker ID it will tell me which talks I’m presenting.
Now that we have a skill, we need to deploy it. To deploy it, we need to give serverless our AWS credentials. We can store this in the project if we want to, but that’s not good for security, we don’t want to just use some global settings, as we might have multiple AWS accounts, so instead we store the credentials against a profile. A profile is just a name we associate with the credentials. They are stored in our home directorry, so are not part of the project
We then tell the project which authentication profile to use
When we are ready to deploy, we just run serverless deploy.
Serverless will then build a lambda stack for our project, zip up our function code, upload it to Amazons simple storaeg service, and link this to our new function.
If we look at AWS lambda, we now have a number of functions, one for each defined in our serverless.yml file, the top one here being our Alexa entry point, the other two being ones created for local testing.
Within the settings for our lambda function on AWS, there are some test options at the top, from here we can configure a test event. This essentially allows us to save a JSON payload which we will then fire at our lambda function, and be able to see the response from within the console.
We should pick an alexa template, the MyColorIs is one which has a slot in it
This is the template: it shows a sample alexa JSON payload, with a slot being provided, in this case it’s a colour with a value of blue.
We can customise this to match our intent, our slot type and our slot value. NB: this is based off slot value (not IDs, so we will need to edit this to be based off an ID, however for the purposes of showing this, the skill code was set to work off the value)
Here we see the response, and log output.
We can log via console.log in our skill code, as I’ve done where it says ”Alexa, lets make a skill”
This is the JSON request we would use for when an ID is provided. It shows how a value for a slot is resolved to an ID. Not too sure about the detail in here, but it seems to imply there could be other services which we could use to work out what slot value is being provided.
Within the lambda configuration we can add a trigger, this tells lambda what is allowed to invoke or trigger the function
We will select Alexa, which gives us some configuration options (next slide)
Including if we want to restrict in bound requests to a specific skill id. If the skill id doesn’t match the function won’t invoke.
Set the endpoint within the Alexa console. This is the opposite of what we have just done, here we tell Alexa that once the skill has been invoked and the intent and slots resolved, it should then send the request to our endpoint, which for us is a particular lambda function. The alternative to a lambda function is an HTTP endpoint.
Testing via the console. Jump to the console and say “ask conference bot what is happening in fontaine e”, walk through the JSON in and out
SSML: Speech synthesis markup language, lets us customise the voice response. All sorts of different things available, including spelling things out, saying numbers as words, changing emphasis, there are also specific words or sayings that alexa is pre-programmed to say in a specific way.
Data peristance with Alexa can easily be done on a per skill-install basis. Give your Lambda function access to Dynamo db, give the Alexa SDK a table to use, and then just store data in this.attributes array.Alexa seamlessly handles this and stores the data mapped to an ID representing the user of the skill (i.e. this installation of the skill)
Of note: alexa serverless plugin and improvements to the alexa CLI. Also interaction model can be defined as JSON.