This document discusses how to get started with AWS IoT. It provides an overview of the AWS IoT platform and its key components, including the device registry, message broker, rules engine, device shadows, and authentication and authorization. It also highlights several AWS customers who are using AWS IoT for applications like connected home devices, smart city solutions, and connected vehicles. The document concludes by explaining how to get started with AWS IoT through the available SDKs and starter kits.
The document provides an overview of AWS IoT, including its message broker, rules engine, thing shadow, thing registry and security features, SDKs, and hardware program. It discusses how AWS IoT can help address challenges with connecting devices by providing secure communication, stream processing, and analytics capabilities. Key components like the message broker, rules engine, thing shadow, and security features are described. Pricing and examples of using AWS IoT are also summarized.
This document provides an overview of AWS IoT and how it can be used to connect IoT devices to AWS services. It discusses key AWS IoT components like the device SDK, device gateway, rules engine, and device shadow. It also explains how AWS IoT can integrate with other AWS services like Lambda, Kinesis, DynamoDB for backend processing. Finally, it provides steps to build an Alexa skill that controls an IoT device connected to AWS IoT using the Alexa skills kit and MQTT protocol.
According to the ITU, the Internet of Things is defined as a global infrastructure for the information society, enabling advanced services by interconnecting (physical and virtual) things based on existing and evolving interoperable information and communication technologies.
Such a phenomenal infrastructure, demands strong skills, and presents large opportunities for the AWS Ecosystem. With our customers in mind, we will have AWS Principal Business Development Manager - Mark Relph, presenting IoT Case Studies and the AWS IoT Platform.
This webinar based on this presentation dives deep into the AWS IoT service that was announced at AWS re:Invent in October 2015. Will cover the components of the AWS IoT platform, demonstrate the AWS IoT Console and command line experience and outline the client-side SDKs that AWS provides to help developers build rich applications for their devices, whilst removing the heavy lifting associated with creating a scalable, secure and reliable set of cloud services to support these applications.
You can find a recording of this webinar on YouTube here: https://youtu.be/0X54z4fzN9g
AWS March 2016 Webinar Series - AWS IoT Real Time Stream Processing with AWS ...Amazon Web Services
AWS IoT is a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices. AWS Lambda is a compute service that runs your code in response to triggers and automatically manages the compute resources for you.
This webinar will familiarize you with the basics of using AWS Lambda to do real-time stream processing with data from AWS IoT. We will discuss how you can leverage AWS IoT to receive data and send commands to IoT devices in real-time. You will learn how to trigger AWS Lambda functions to process inbound data from your IoT devices. You will also learn how to use Lambda to connect with Amazon Kinesis Firehose to load streaming data into Amazon S3 and Amazon Redshift.
Learning Objectives:
• Understand key AWS IoT and AWS Lambda features
• Learn how to set up AWS IoT and do real-time processing with AWS Lambda
• Explore sample use cases, best practices, and tips on using AWS Lambda with AWS IoT
Who Should Attend:
• IoT Developers
AWS IoT provides a suite of services to connect, manage and integrate IoT devices at scale. These include SDKs to connect devices, a highly scalable message broker using MQTT and HTTP, authentication and authorization security, a rules engine to route messages to AWS services and third parties, persistent device shadows to represent state, and a registry for device identity and metadata. AWS IoT handles heavy lifting tasks so devices can securely connect to the cloud and applications.
This document discusses how to get started with AWS IoT. It provides an overview of the AWS IoT platform and its key components, including the device registry, message broker, rules engine, device shadows, and authentication and authorization. It also highlights several AWS customers who are using AWS IoT for applications like connected home devices, smart city solutions, and connected vehicles. The document concludes by explaining how to get started with AWS IoT through the available SDKs and starter kits.
The document provides an overview of AWS IoT, including its message broker, rules engine, thing shadow, thing registry and security features, SDKs, and hardware program. It discusses how AWS IoT can help address challenges with connecting devices by providing secure communication, stream processing, and analytics capabilities. Key components like the message broker, rules engine, thing shadow, and security features are described. Pricing and examples of using AWS IoT are also summarized.
This document provides an overview of AWS IoT and how it can be used to connect IoT devices to AWS services. It discusses key AWS IoT components like the device SDK, device gateway, rules engine, and device shadow. It also explains how AWS IoT can integrate with other AWS services like Lambda, Kinesis, DynamoDB for backend processing. Finally, it provides steps to build an Alexa skill that controls an IoT device connected to AWS IoT using the Alexa skills kit and MQTT protocol.
According to the ITU, the Internet of Things is defined as a global infrastructure for the information society, enabling advanced services by interconnecting (physical and virtual) things based on existing and evolving interoperable information and communication technologies.
Such a phenomenal infrastructure, demands strong skills, and presents large opportunities for the AWS Ecosystem. With our customers in mind, we will have AWS Principal Business Development Manager - Mark Relph, presenting IoT Case Studies and the AWS IoT Platform.
This webinar based on this presentation dives deep into the AWS IoT service that was announced at AWS re:Invent in October 2015. Will cover the components of the AWS IoT platform, demonstrate the AWS IoT Console and command line experience and outline the client-side SDKs that AWS provides to help developers build rich applications for their devices, whilst removing the heavy lifting associated with creating a scalable, secure and reliable set of cloud services to support these applications.
You can find a recording of this webinar on YouTube here: https://youtu.be/0X54z4fzN9g
AWS March 2016 Webinar Series - AWS IoT Real Time Stream Processing with AWS ...Amazon Web Services
AWS IoT is a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices. AWS Lambda is a compute service that runs your code in response to triggers and automatically manages the compute resources for you.
This webinar will familiarize you with the basics of using AWS Lambda to do real-time stream processing with data from AWS IoT. We will discuss how you can leverage AWS IoT to receive data and send commands to IoT devices in real-time. You will learn how to trigger AWS Lambda functions to process inbound data from your IoT devices. You will also learn how to use Lambda to connect with Amazon Kinesis Firehose to load streaming data into Amazon S3 and Amazon Redshift.
Learning Objectives:
• Understand key AWS IoT and AWS Lambda features
• Learn how to set up AWS IoT and do real-time processing with AWS Lambda
• Explore sample use cases, best practices, and tips on using AWS Lambda with AWS IoT
Who Should Attend:
• IoT Developers
AWS IoT provides a suite of services to connect, manage and integrate IoT devices at scale. These include SDKs to connect devices, a highly scalable message broker using MQTT and HTTP, authentication and authorization security, a rules engine to route messages to AWS services and third parties, persistent device shadows to represent state, and a registry for device identity and metadata. AWS IoT handles heavy lifting tasks so devices can securely connect to the cloud and applications.
AWS IoT is a new managed service that enables Internet-connected things (sensors, actuators, devices, and applications) to easily and securely interact with each other and the cloud. We have partnered with several hardware manufacturers to make it super easy for you to build your next dream machine. In this session, you will see how you can connect a real device to AWS IoT and accelerate your prototype development using Device SDKs. We will cover major hardware platforms from Arduino, Marvell, Dragonboard and MediaTek, protocols like MQTT/HTTP, various starter kits available so you can get started quickly..
This document discusses building a scalable and serverless backend environment for mobile and IoT applications using AWS IoT. It demonstrates connecting devices to AWS IoT, setting device shadows, using rules to route data to AWS services like DynamoDB, and building mobile apps that interact with devices. It also shows how to use AWS Lambda, SDKs, and other services to process and analyze IoT data at scale.
The document provides an overview of AWS IoT including:
- What AWS IoT is and how it securely connects devices to AWS and applications
- Key components like the device SDK, gateway, rules engine, shadow, and registry
- Examples of how AWS IoT can be used for device management, rules processing, and integrating devices with AWS services and applications.
AWS IoT is a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices. This webinar will introduce the lifecycle of an IoT thing and the mechanisms used by AWS IoT to manage things. These mechanisms can be used to securely build and provision things, manage deployment, manage thing health, and integrate with other AWS services. And when the life of the thing has come to an end, we will show you how to retire the thing, keeping your solution secure.
Learning Objectives:
• Common IoT Thing Management Issues
• AWS IoT Security and Access Control Mechanisms
Who Should Attend:
• Technical Decision Makers, Developers, Makers
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.
Webinar - AWS 201 IoT with AWS - Smart devices powered by the cloudAmazon Web Services
Connected devices are all around us. From tiny sensors with Arduinos and Raspberry Pi's, to TV's, thermostats and turbines. Join this session to see how you can harness the low cost, scalable and automated utility cloud computing services to ingest, store and compute the data streams sent by these devices. Learn how you can add value with an analytics, insights and feedback control loop, through real life customer examples.
by Gavin Adams, Sr. IoT Specialist SA AWS
Join us for AWS IoT day at the AWS San Francisco Loft. AWS IoT enables you to easily connect and manage millions of devices securely. You can gather data from, run sophisticated analytics on, and take actions in real-time on your diverse fleet of IoT devices from edge to the cloud. You will build IoT applications with AWS IoT experts. AWS IoT provides edge-based software and cloud-based services so you can easily build IoT applications. Edge-based software, including AWS Greengrass, enables you to securely connect devices, gather data and take intelligent actions locally even when Internet connectivity is down. Cloud-based services, including AWS IoT Core, allow you to quickly onboard large and diverse fleets, maintain fleet health, and keep fleets secure.
This document provides an agenda and overview for an AWS IoT bootcamp focusing on mastering the AWS IoT platform. The bootcamp will consist of lectures and hands-on labs covering topics like AWS IoT foundations, advanced concepts, and building predictive maintenance solutions. Lab 1 involves assembling an IoT demo architecture with sensors, a Raspberry Pi and AWS IoT to create a high-temperature alarm that will alert users if temperatures exceed a threshold. The goals are to build out the demo setup, familiarize with the AWS IoT console, and create the device "thing" on AWS.
Developing Connected Applications with Amazon Web Services IoTAmazon Web Services
Amazon Web Services IoT is a managed cloud service that enables Internet-connected things to easily and securely interact with each other and cloud resources. We dive into demo applications that tie together physical IoT devices, web browsers and identity providers to create smart, connected applications using Amazon Web Services.
Speaker: Adam Larter, Solutions Architect, Amazon Web Services
Intro to AWS Developer Tools feat. AWS Codestar, and AWS SDKs & Developer Res...Amazon Web Services
Software release cycles are now measured in days instead of months. Cutting edge companies are continuously delivering high-quality software at a fast pace. In this session, we will cover how you begin your DevOps journey by sharing best practices and tools by the "two pizza" engineering teams at Amazon. We will showcase how you can accelerate developer productivity by implementing continuous integration and delivery workflows. We will also cover an introduction to AWS CodeCommit, AWS CodeBuild, AWS CodePipeline, and AWS CodeDeploy, the services inspired by Amazon's internal devloper tools and DevOps practices.
The document discusses the architecture of the AWS IoT platform. It allows connected devices to interact securely with cloud applications and other devices. It includes device SDKs to connect and authenticate devices, a device gateway to communicate over MQTT and HTTP, authentication and authorization using certificates, a rules engine to route messages based on rules, and a device shadow for persistent device states. It also includes a device registry for identity management and the AWS IoT APIs. The platform securely connects millions of devices and applications with zero provisioning required.
Why does connecting your physical devices to the cloud create more value for the user? How can connectivity enhance user experience? Why does connecting your things enhance your business model? In this session, Kyle Roche, GM of AWS IoT, will discuss the power of connecting your devices to the cloud and share AWS vision and latest products and features. Kyle provides an overview of real customer use cases and shares trends we are seeing among IoT customers. He will also bring some key customers on stage to share their experiences.
(MBL311) NEW! AWS IoT: Securely Building, Provisioning, & Using ThingsAmazon Web Services
AWS IoT is a new managed service that enables Internet-connected things (sensors, actuators, devices, and applications) to easily and securely interact with each other and the cloud. This talk will introduce the security and access control mechanisms used by AWS IoT. These mechanisms can be used to not only securely build and provision devices, but also to integrate devices with other AWS services. This allows you to build interesting, meaningful applications while owning little to no infrastructure.
AWS October Webinar Series - Getting Started with AWS IoTAmazon Web Services
AWS IoT is a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices.
In this webinar, we will discuss how constrained devices can leverage AWS IoT to send data to the cloud and receive commands back to the device from the cloud using protocol of their choice. We will discuss how devices can securely connect using MQTT and HTTP protocols, and how developers and businesses can leverage features of AWS IoT like Thing Shadows and Rules Engine to build a real connected product.
Building voice experiences with Alexa will enable voice interactions through many different devices as voice becomes more ubiquitous. The Alexa ecosystem allows developers to create skills that provide content to customers on all Alexa-enabled devices, which are growing rapidly in both consumer and business products. The Alexa Skills Kit allows developers to build voice apps or skills that respond to customer requests through Alexa by processing intents and returning text or audio responses.
This document provides an overview of AWS IoT Foundations. It begins with an introduction to IoT and why cloud computing is important for handling large amounts of IoT data. It then covers the key concepts of AWS IoT including the MQTT protocol, device SDK, device gateway, rules engine, device shadow, and pricing. Demo sessions are included to illustrate how various AWS IoT components work. Upcoming webinars and events on advanced AWS IoT topics are also advertised.
(MBL202) Mobile State of the Union: Mobile Apps Powered by AWSAmazon Web Services
Marco Argenti, Vice President of AWS Mobile, will kick off the Mobile track and share our vision and the latest products and features we have launched this year. He will cover customer trends and even bring some key mobile customers on stage to share their experiences.
Introduce how to setting AWS IoT CLI package in Ubuntu 14.04, and describes the characteristics of the platform, such as device gateway. thing shadow, etc.
Developing Connected Applications with AWS IoT - Technical 301Amazon Web Services
AWS IoT is a managed cloud platform that can support billions of devices and trillions of messages, and can process and route those messages to AWS endpoints and to other devices reliably and securely.
In this session we look at patterns and architectures for developing connected applications using AWS IoT. We dive into demo applications that tie together physical IoT devices, web browsers, identity providers, and mobile devices to create smart, connected applications using Amazon Web Services.
Speaker: Adam Larter, Solutions Architect, Amazon Web Services
Featured Customer - Tekt Industries
IoT is a green field of new business opportunities. The ran has started…..
Everyware Device Cloud (EDC) is a full set of Operational Technologies available also as a service, which represent the fastest way to start an IoT business.
You can connect a Device to Cloud in 15 minutes.
With EDC A typical IoT project would take 2 to 6 months to go live and the ROI is really fast
.
AWS IoT is a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices.As an IoT developer, you will need to interact with AWS services like Amazon Kinesis, AWS Lambda, and Amazon Machine Learning to get the most from your IoT application. In this session, we will do a deep dive on how to define rules in the Rules Engine, or retrieve the last known and desired state of device using Device Shadows, routing data from devices to AWS services to leverage the entire cloud for your Internet of Things application.
AWS IoT is a new managed service that enables Internet-connected things (sensors, actuators, devices, and applications) to easily and securely interact with each other and the cloud. We have partnered with several hardware manufacturers to make it super easy for you to build your next dream machine. In this session, you will see how you can connect a real device to AWS IoT and accelerate your prototype development using Device SDKs. We will cover major hardware platforms from Arduino, Marvell, Dragonboard and MediaTek, protocols like MQTT/HTTP, various starter kits available so you can get started quickly..
This document discusses building a scalable and serverless backend environment for mobile and IoT applications using AWS IoT. It demonstrates connecting devices to AWS IoT, setting device shadows, using rules to route data to AWS services like DynamoDB, and building mobile apps that interact with devices. It also shows how to use AWS Lambda, SDKs, and other services to process and analyze IoT data at scale.
The document provides an overview of AWS IoT including:
- What AWS IoT is and how it securely connects devices to AWS and applications
- Key components like the device SDK, gateway, rules engine, shadow, and registry
- Examples of how AWS IoT can be used for device management, rules processing, and integrating devices with AWS services and applications.
AWS IoT is a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices. This webinar will introduce the lifecycle of an IoT thing and the mechanisms used by AWS IoT to manage things. These mechanisms can be used to securely build and provision things, manage deployment, manage thing health, and integrate with other AWS services. And when the life of the thing has come to an end, we will show you how to retire the thing, keeping your solution secure.
Learning Objectives:
• Common IoT Thing Management Issues
• AWS IoT Security and Access Control Mechanisms
Who Should Attend:
• Technical Decision Makers, Developers, Makers
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.
Webinar - AWS 201 IoT with AWS - Smart devices powered by the cloudAmazon Web Services
Connected devices are all around us. From tiny sensors with Arduinos and Raspberry Pi's, to TV's, thermostats and turbines. Join this session to see how you can harness the low cost, scalable and automated utility cloud computing services to ingest, store and compute the data streams sent by these devices. Learn how you can add value with an analytics, insights and feedback control loop, through real life customer examples.
by Gavin Adams, Sr. IoT Specialist SA AWS
Join us for AWS IoT day at the AWS San Francisco Loft. AWS IoT enables you to easily connect and manage millions of devices securely. You can gather data from, run sophisticated analytics on, and take actions in real-time on your diverse fleet of IoT devices from edge to the cloud. You will build IoT applications with AWS IoT experts. AWS IoT provides edge-based software and cloud-based services so you can easily build IoT applications. Edge-based software, including AWS Greengrass, enables you to securely connect devices, gather data and take intelligent actions locally even when Internet connectivity is down. Cloud-based services, including AWS IoT Core, allow you to quickly onboard large and diverse fleets, maintain fleet health, and keep fleets secure.
This document provides an agenda and overview for an AWS IoT bootcamp focusing on mastering the AWS IoT platform. The bootcamp will consist of lectures and hands-on labs covering topics like AWS IoT foundations, advanced concepts, and building predictive maintenance solutions. Lab 1 involves assembling an IoT demo architecture with sensors, a Raspberry Pi and AWS IoT to create a high-temperature alarm that will alert users if temperatures exceed a threshold. The goals are to build out the demo setup, familiarize with the AWS IoT console, and create the device "thing" on AWS.
Developing Connected Applications with Amazon Web Services IoTAmazon Web Services
Amazon Web Services IoT is a managed cloud service that enables Internet-connected things to easily and securely interact with each other and cloud resources. We dive into demo applications that tie together physical IoT devices, web browsers and identity providers to create smart, connected applications using Amazon Web Services.
Speaker: Adam Larter, Solutions Architect, Amazon Web Services
Intro to AWS Developer Tools feat. AWS Codestar, and AWS SDKs & Developer Res...Amazon Web Services
Software release cycles are now measured in days instead of months. Cutting edge companies are continuously delivering high-quality software at a fast pace. In this session, we will cover how you begin your DevOps journey by sharing best practices and tools by the "two pizza" engineering teams at Amazon. We will showcase how you can accelerate developer productivity by implementing continuous integration and delivery workflows. We will also cover an introduction to AWS CodeCommit, AWS CodeBuild, AWS CodePipeline, and AWS CodeDeploy, the services inspired by Amazon's internal devloper tools and DevOps practices.
The document discusses the architecture of the AWS IoT platform. It allows connected devices to interact securely with cloud applications and other devices. It includes device SDKs to connect and authenticate devices, a device gateway to communicate over MQTT and HTTP, authentication and authorization using certificates, a rules engine to route messages based on rules, and a device shadow for persistent device states. It also includes a device registry for identity management and the AWS IoT APIs. The platform securely connects millions of devices and applications with zero provisioning required.
Why does connecting your physical devices to the cloud create more value for the user? How can connectivity enhance user experience? Why does connecting your things enhance your business model? In this session, Kyle Roche, GM of AWS IoT, will discuss the power of connecting your devices to the cloud and share AWS vision and latest products and features. Kyle provides an overview of real customer use cases and shares trends we are seeing among IoT customers. He will also bring some key customers on stage to share their experiences.
(MBL311) NEW! AWS IoT: Securely Building, Provisioning, & Using ThingsAmazon Web Services
AWS IoT is a new managed service that enables Internet-connected things (sensors, actuators, devices, and applications) to easily and securely interact with each other and the cloud. This talk will introduce the security and access control mechanisms used by AWS IoT. These mechanisms can be used to not only securely build and provision devices, but also to integrate devices with other AWS services. This allows you to build interesting, meaningful applications while owning little to no infrastructure.
AWS October Webinar Series - Getting Started with AWS IoTAmazon Web Services
AWS IoT is a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices.
In this webinar, we will discuss how constrained devices can leverage AWS IoT to send data to the cloud and receive commands back to the device from the cloud using protocol of their choice. We will discuss how devices can securely connect using MQTT and HTTP protocols, and how developers and businesses can leverage features of AWS IoT like Thing Shadows and Rules Engine to build a real connected product.
Building voice experiences with Alexa will enable voice interactions through many different devices as voice becomes more ubiquitous. The Alexa ecosystem allows developers to create skills that provide content to customers on all Alexa-enabled devices, which are growing rapidly in both consumer and business products. The Alexa Skills Kit allows developers to build voice apps or skills that respond to customer requests through Alexa by processing intents and returning text or audio responses.
This document provides an overview of AWS IoT Foundations. It begins with an introduction to IoT and why cloud computing is important for handling large amounts of IoT data. It then covers the key concepts of AWS IoT including the MQTT protocol, device SDK, device gateway, rules engine, device shadow, and pricing. Demo sessions are included to illustrate how various AWS IoT components work. Upcoming webinars and events on advanced AWS IoT topics are also advertised.
(MBL202) Mobile State of the Union: Mobile Apps Powered by AWSAmazon Web Services
Marco Argenti, Vice President of AWS Mobile, will kick off the Mobile track and share our vision and the latest products and features we have launched this year. He will cover customer trends and even bring some key mobile customers on stage to share their experiences.
Introduce how to setting AWS IoT CLI package in Ubuntu 14.04, and describes the characteristics of the platform, such as device gateway. thing shadow, etc.
Developing Connected Applications with AWS IoT - Technical 301Amazon Web Services
AWS IoT is a managed cloud platform that can support billions of devices and trillions of messages, and can process and route those messages to AWS endpoints and to other devices reliably and securely.
In this session we look at patterns and architectures for developing connected applications using AWS IoT. We dive into demo applications that tie together physical IoT devices, web browsers, identity providers, and mobile devices to create smart, connected applications using Amazon Web Services.
Speaker: Adam Larter, Solutions Architect, Amazon Web Services
Featured Customer - Tekt Industries
IoT is a green field of new business opportunities. The ran has started…..
Everyware Device Cloud (EDC) is a full set of Operational Technologies available also as a service, which represent the fastest way to start an IoT business.
You can connect a Device to Cloud in 15 minutes.
With EDC A typical IoT project would take 2 to 6 months to go live and the ROI is really fast
.
AWS IoT is a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices.As an IoT developer, you will need to interact with AWS services like Amazon Kinesis, AWS Lambda, and Amazon Machine Learning to get the most from your IoT application. In this session, we will do a deep dive on how to define rules in the Rules Engine, or retrieve the last known and desired state of device using Device Shadows, routing data from devices to AWS services to leverage the entire cloud for your Internet of Things application.
The document presents an overview of Internet of Things (IoT) concepts and proposes a reference architecture for IoT. It discusses core IoT concerns like connectivity, device management, data handling and security. It describes common IoT device types like Arduino, Raspberry Pi and communication protocols like HTTP, MQTT, CoAP. The proposed reference architecture aims to provide a scalable and secure way to interact with billions of connected devices by addressing issues like management, data processing and disaster recovery. An example implementation of the architecture for an RFID attendance tracking system is also presented.
How do APIs and IoT relate? The answer is not as simple as merely adding an API on top of a dumb device, but rather about understanding the architectural patterns for implementing an IoT fabric. There are typically two or three trends:
Exposing the device to a management framework
Exposing that management framework to a business centric logic
Exposing that business layer and data to end users.
This last trend is the IoT stack, which involves a new shift in the separation of what stuff happens, where data lives and where the interface lies. For instance, it's a mix of architectural styles between cloud, APIs and native hardware/software configurations.
Build Your Mobile App Faster with AWS Mobile Services (Part 1 - AWS)Amazon Web Services
In this session, we will discuss how you can leverage the new cross-platform AWS Mobile Services to build a highly scalable and reliable mobile app, powered by the AWS cloud. We will explore core functionality like authentication and authorization of users, data synchronization, and back-end infrastructure without the need to manage servers. We'll also talk about understanding your user behavior, engaging your users, and bringing your users back to your app. No matter if you are building the next great social app, or a front-office enterprise mobile app, this session will discuss best practices for building reliable and scalable mobile apps.
The document discusses several Amazon Web Services security tools including Amazon Inspector, AWS Config, and AWS Trusted Advisor. Amazon Inspector is a vulnerability assessment service that automates security scans for EC2 instances. AWS Config allows users to automate the evaluation of AWS resource configurations against security best practices. AWS Trusted Advisor monitors AWS infrastructure and identifies security gaps and cost optimization opportunities based on known best practices.
Digital Transformation through Product and Service InnovationAmazon Web Services
Today large enterprises are under pressure to innovate faster than ever, drive down costs, and deliver increased value to their organisations through more responsive and flexible IT. Organisations that are shifting to a data-driven, insight-powered culture will be in the best position to defend, differentiate and disrupt in their respective industries, potentially expanding their business with new products and revenue sources. Learn how some leading companies are leveraging data – from IoT sources, social sources, enterprise, partners, competitors, and consumers – to unlock new sources of insight.
Derek Ewell, Partner Solutions Architect, Amazon Web Services, ASEAN
Senthil Ramani, Managing Director, APAC Resources, Digital Business Lead, Accenture
This document provides an overview of Amazon Redshift data warehousing capabilities. It discusses how Redshift is fast, inexpensive, fully managed, secure, and innovates quickly. It describes how to get started with Redshift, provision clusters, model data, load and query data, and monitor performance. It also provides an example of how MakerBot uses Redshift as part of its "Dream Stack" along with other AWS services for analytics.
This document discusses Amazon Web Services (AWS) Internet of Things (IoT). It describes key AWS IoT services like the message broker, rules engine, device shadows, and registry. The message broker securely connects devices to AWS using protocols like MQTT. The rules engine routes messages between devices and AWS services. Device shadows store device state information. The registry stores device identity and attribute information. AWS IoT aims to simplify and accelerate IoT development by connecting devices to AWS services and providing security and management features.
This document summarizes Yaşarcan Yılmaz's background and experience in big data and machine learning engineering. It then describes Insider, the company he works for, which uses personalization, predictive segmentation, and real-time technologies to boost loyalty and growth for its customers. Insider collects over 5 TB of data per month from 600 million unique users, and describes some of its predictive analysis and segmentation capabilities such as predicting customer lifetime value, purchase likelihood, and interest-based customer segments. It also outlines Insider's fast and big data architecture using AWS services like Kinesis, Lambda, S3, EMR and Spark.
Dispositivi e Azure IoT Suite: prendere decisioni con l'aiuto dei datiMoreno Gentili
L'enorme crescita del settore IoT apre la strada alla cosiddetta "Industria 4.0", ovvero la nuova rivoluzione industriale che comprenderà almeno 20 miliardi di dispositivi connessi ad internet nel 2020.
Sensori, wearables e oggetti intelligenti di ogni genere stanno già entrando nella vita di aziende e persone, cambiando gradualmente il loro modo di relazionarsi.
La Azure IoT Suite ci agevola l'ingresso in questo ecosistema con una serie di servizi cloud per realizzare applicazioni di monitoraggio e telecontrollo in maniera sicura, rapida e scalabile.
In questo evento tecnico, esamineremo i servizi IoT Hub, Stream Analytics e Machine Learning per capire come far emergere conoscenza dai dati e prendere decisioni strategiche per il nostro business in maniera più consapevole.
The Connected Home: Managing and Innovating with Offline DevicesAmazon Web Services
AWS Internet of Things (IoT) is a managed cloud platform that can support billions of devices and trillions of messages, and can process and route those messages to Amazon Web Services endpoints and to other devices reliably and securely. In this session we look at patterns and architectures for developing connected applications using Amazon Web Services IoT platform. We will dive into demo applications that tie together physical IoT devices, web browsers, identity providers, and mobile devices to create smart, connected applications using Amazon Web Services.
Markku Lepisto, Principal Technology Evangelist, Amazon Web Services, APAC
Azure is a large and fast-growing cloud computing platform. It provides various services across different layers including a data layer with storage and analytics services, an application layer with web and mobile services, and an integration layer to connect various services and devices. The document then discusses Azure Stream Analytics which allows users to process streaming data from connected devices and applications in real-time by performing operations like filtering, aggregation, joins and pattern detection. It also references other Azure services that can be used to ingest, store, analyze and visualize streaming data.
AWS offers you the ability to add additional layers of security to your data at rest in the cloud, providing access control as well scalable and efficient encryption features. Flexible key management options allow you to choose whether to have AWS manage the encryption keys or to keep complete control over the keys yourself. In this session, you will learn how to secure data when using AWS services. We will discuss data encryption using Key Management Service, S3 access controls, edge and host access security, and database platform security features.
For many, web-scale IT is an alien and drastic approach being met with fear and resistance. So the first question for any organization should be; what is it? Cameron Haight, Gartner’s chief of research for infrastructure and operations, coined the term “Web-scale IT” earlier 2014 as a way to describe the new ways organizations leverage technology to provide their customers with content quickly and at massive scale.
For people who start to create a cloud service, it’s really important to know how to create a scalable cloud service to fit the growth of the future workloads. In this session, we will introduce how to design a scalable cloud service including AWS services introduction and best practices.
Video and slides synchronized, mp3 and slide download available at URL http://bit.ly/1kYLiRR.
Todd Montgomery explains using WebSocket and reactive programming in an event driven RESTful architecture for the emerging IoT world. Filmed at qconnewyork.com.
Todd Montgomery is a networking hacker who has researched, designed, and built numerous protocols, messaging-oriented middleware systems, and real-time data systems, done research for NASA, contributed to the IETF and IEEE, and co-founded two startups. He currently works for Kaazing as Chief Architect.
This document provides an overview of AWS IoT services including key features and use cases. It discusses the AWS IoT message broker which supports standard protocols like MQTT to securely connect millions of devices. It also describes the rules engine which can transform messages and route them to other AWS services, thing shadows for persistent device states, and the device registry for identity management. Example use cases are given across various industries like healthcare, smart homes, manufacturing, and more.
Connecting the Unconnected: IoT Made SimpleDanilo Poccia
Connecting physical devices to the cloud can enhance the user experience. AWS IoT is a new managed service that enables Internet-connected things (sensors, actuators, devices, and applications) to easily and securely interact with each other and the cloud. In this session, we will discuss how constrained devices can send data to the cloud and receive commands back to the device. Devices can securely connect using MQTT, HTTP protocols and developers can leverage several features of AWS IoT such as the Rules Engine and Thing Shadows to quickly and easily build a real connected product. This session will take a practical approach to developing real-world IoT and mobile applications in which the back end is serverless and can scale from one to virtually unlimited users without any infrastructure or servers to manage.
Introducing AWS IoT - Interfacing with the Physical World - Technical 101Amazon Web Services
This document provides an overview of AWS IoT, a service that allows devices to securely connect and interact with cloud applications and other devices. It discusses how AWS IoT provides a complete platform for connected devices with SDKs, authentication/authorization, a rules engine, device shadows and registry. It also highlights how AWS IoT supports MQTT and HTTP protocols, allows devices to securely connect and exchange messages, and integrates with other AWS services and third-party services. The document concludes with information on getting started with AWS IoT device SDKs.
Internet der Ingenieure - reale und virtuelle Welten verschmelzen - AWS IoT W...AWS Germany
In diesem Vortrag geht es um diese IoT-Themen:
Sicheres Verbinden von Maschinen, Sensoren und Aktoren mit der Cloud und Kommunikation aus der Cloud
Wie stimmen sich Netze und Komponenten miteinander ab?
Wie können Komponenten die Cloud benutzen selbst wenn diese nicht ständig online sind?
Informieren Sie sich jetzt über das kostenlose Nutzungskontingent von AWS: http://amzn.to/1Qh9stj
A dive deep into the AWS IoT service that was announced at AWS re:Invent in October. We will cover the components of the AWS IoT platform, demonstrate the AWS IoT Console and command line experience and the client-side SDKs that AWS provides to help developers build rich applications for their devices, whilst removing the heavy lifting associated with creating a scalable, secure and reliable set of cloud services to support these applications.
AWS re:Invent 2016: Understanding IoT Data: How to Leverage Amazon Kinesis in...Amazon Web Services
The growing popularity and breadth of use cases for IoT are challenging the traditional thinking of how data is acquired, processed, and analyzed to quickly gain insights and act promptly. Today, the potential of this data remains largely untapped. In this session, we explore architecture patterns for building comprehensive IoT analytics solutions using AWS big data services. We walk through two production-ready implementations. First, we present an end-to-end solution using AWS IoT, Amazon Kinesis, and AWS Lambda. Next, Hello discusses their consumer IoT solution built on top of Amazon Kinesis, Amazon DynamoDB, and Amazon Redshift.
AWS NYC Meetup - May 2017 - "AWS IoT and Greengrass"Chris Munns
Solstice and Amazon Web Services (AWS) will present the benefits and use cases of edge computing, including an overview AWS IoT and the newly launched AWS Greengrass.
AWS IoT closes the gap between physical and digital with things, internet and connectivity. AWSGreengrass enables connected devices running on AWS’s technology to process data locally-- reducing latency, allowing offline functionality, improving security, and more. We’ll share best practices for building with edge computing and Greengrass, and how you can apply it to your current and future IoT solutions. Solstice will also walk through a real-life implementation of AWS IoT and AWS Greengrass that was showcased at AWS re:Invent 2016.
Speakers:
• Chris Munns, Senior Developer Advocate, AWS
• Andrew Whiting, VP of Business Development, Solstice
• Pat Smolen, Sr. Technical Consultant, Solstice.
AWS IoT is a new managed service that enables Internet-connected things (sensors, actuators, devices, and applications) to easily and securely interact with each other and the cloud. In this session, we will discuss how constrained devices can leverage AWS IoT to send data to the cloud and receive commands back to the device from the cloud using protocol of their choice. We will discuss how devices can connect securely connect using MQTT, HTTP protocols and how can developers and businesses leverage several features of AWS IoT Rules Engine, Thing Shadow to build a real connected product. You don't want to miss this session if you are a maker or manufacturer of a connected device. We have a cool giveaway for you at the end of the session!
Application developers need to deal with an ever growing volume of streaming data and the challenges of processing that data on a near real-time basis . This session will cover how AWS services such as Amazon Kinesis Streams, Firehose and Analytics, AWS IoT, AWS Lambda, AWS API Gateway and Amazon SNS can be used in a developer centric context to ingest, transform, process and visualise streaming data using serverless architectures.
Speakers:
Marc Teichtahl, Manager Solutions Architect, Amazon Web Services
Daniel Zoltak, Solutions Architect, Amazon Web Services
AWS Innovate: Building an Internet Connected Camera with AWS IoT- Tim CruseAmazon Web Services Korea
AWS IoT and building an Internet connected camera. The document discusses connecting physical devices to AWS IoT using MQTT or HTTP protocols for secure communication. It describes using AWS IoT services like the rules engine to route messages, device shadows to sync state, and device registry for identity management. It provides an example of building an Internet connected camera with Raspberry Pi that takes pictures on button press and uploads to S3, notifying users via subscribed topics.
This document provides an overview and summary of an IoT solutions architecture presentation. It discusses various AWS IoT services like the device SDK, rules engine, shadows, and registry. It also covers how to connect devices, send and collect data, and addresses common patterns like telemetry and analytics. Examples are given around connecting a smart farm and implementing features like automated sprinklers. Best practices around lifecycle management and debugging architectures are also presented. The document concludes with an overview of labs that will demonstrate patterns using various AWS IoT and related services.
Jeremy Cowan's AWS user group presentation "AWS Greengrass & IoT demo"AWS Chicago
"AWS Greengrass & IoT demo" - by Jeremy Cowan, Solutions Architect at Amazon Web Services
This presentation was given at the AWS Chicago user group event on 22 March 2017 on the Internet of Things (IoT)
https://www.meetup.com/AWS-Chicago/events/237737145/
@jicowan
Amazon Web Services provides several offerings for connecting IoT devices to the cloud:
- Amazon EC2 provides scalable virtual servers for hosting IoT applications and services. Auto Scaling automatically scales EC2 capacity as needed.
- Amazon S3 and DynamoDB provide cloud storage for IoT data. S3 stores large unstructured data while DynamoDB supports fast NoSQL access.
- Additional services like RDS, Lambda and rules engine help process and integrate IoT data with other AWS services and applications.
- AWS IoT provides secure bi-directional communication between devices and AWS cloud services, and includes components for device connectivity, messaging, rules processing and device management.
This document provides an overview of AWS IoT and how it can be used to connect internet-connected devices to AWS services. Some key points:
- AWS IoT allows bidirectional communication between devices and AWS cloud services, enabling collection and analysis of telemetry data from devices.
- Device certificates and policies are used to authenticate and authorize devices to perform operations like publishing and subscribing to MQTT topics.
- The document discusses using AWS IoT rules to trigger actions like storing device data in DynamoDB or sending notifications to SNS when devices publish messages.
- AWS IoT Greengrass extends cloud capabilities to local devices by allowing them to execute Lambda functions and communicate securely on local networks.
AWS IoT is a fully managed cloud platform that allows connected devices to securely interact with cloud applications and other devices. It provides device SDKs, rules engines, authentication/authorization, and persistent device states. Z#bre uses the AWS IoT platform to power their connected healthcare product Lysbox, which monitors elderly individuals, allowing them to live independently longer while reducing costs. The scalable AWS IoT platform helps Z#bre deploy and manage thousands of devices across different networks and protocols.
The document discusses security best practices when using AWS. It recommends using AWS services like IAM for identity and access management, enabling encryption, monitoring with services like GuardDuty and CloudTrail, and designing infrastructure as code for scalability and automation. The AWS shared responsibility model means customers are responsible for security within AWS resources, while AWS is responsible for the underlying cloud infrastructure.
The IoT is here to stay. As with any other trend in the history of computer software, it’s starting to produce a new generation of cloud platforms. This tech talk will identify and explain what to look for when evaluating an IoT cloud platform to ensure a successful deployment of IoT strategies.
This document provides an overview of IoT and the AWS IoT platform. It discusses key IoT concepts like MQTT and smart home devices. It then details various aspects of the AWS IoT architecture including AWS IoT Core services, security, and pricing. Device SDKs and protocols are covered, as well as how AWS IoT integrates with other AWS services like Lambda, S3, DynamoDB through the AWS IoT rules engine. Device shadowing and registry services are also summarized. Finally, AWS IoT is compared to the Azure IoT Suite in terms of features.
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.
1) The document discusses building a minimum viable product (MVP) using Amazon Web Services (AWS).
2) It provides an example of an MVP for an omni-channel messenger platform that was built from 2017 to connect ecommerce stores to customers via web chat, Facebook Messenger, WhatsApp, and other channels.
3) The founder discusses how they started with an MVP in 2017 with 200 ecommerce stores in Hong Kong and Taiwan, and have since expanded to over 5000 clients across Southeast Asia using AWS for scaling.
This document discusses pitch decks and fundraising materials. It explains that venture capitalists will typically spend only 3 minutes and 44 seconds reviewing a pitch deck. Therefore, the deck needs to tell a compelling story to grab their attention. It also provides tips on tailoring different types of decks for different purposes, such as creating a concise 1-2 page teaser, a presentation deck for pitching in-person, and a more detailed read-only or fundraising deck. The document stresses the importance of including key information like the problem, solution, product, traction, market size, plans, team, and ask.
This document discusses building serverless web applications using AWS services like API Gateway, Lambda, DynamoDB, S3 and Amplify. It provides an overview of each service and how they can work together to create a scalable, secure and cost-effective serverless application stack without having to manage servers or infrastructure. Key services covered include API Gateway for hosting APIs, Lambda for backend logic, DynamoDB for database needs, S3 for static content, and Amplify for frontend hosting and continuous deployment.
This document provides tips for fundraising from startup founders Roland Yau and Sze Lok Chan. It discusses generating competition to create urgency for investors, fundraising in parallel rather than sequentially, having a clear fundraising narrative focused on what you do and why it's compelling, and prioritizing relationships with people over firms. It also notes how the pandemic has changed fundraising, with examples of deals done virtually during this time. The tips emphasize being fully prepared before fundraising and cultivating connections with investors in advance.
AWS_HK_StartupDay_Building Interactive websites while automating for efficien...Amazon Web Services
This document discusses Amazon's machine learning services for building conversational interfaces and extracting insights from unstructured text and audio. It describes Amazon Lex for creating chatbots, Amazon Comprehend for natural language processing tasks like entity extraction and sentiment analysis, and how they can be used together for applications like intelligent call centers and content analysis. Pre-trained APIs simplify adding machine learning to apps without requiring ML expertise.
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.
Ocean lotus Threat actors project by John Sitima 2024 (1).pptxSitimaJohn
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
CAKE: Sharing Slices of Confidential Data on BlockchainClaudio Di Ciccio
Presented at the CAiSE 2024 Forum, Intelligent Information Systems, June 6th, Limassol, Cyprus.
Synopsis: Cooperative information systems typically involve various entities in a collaborative process within a distributed environment. Blockchain technology offers a mechanism for automating such processes, even when only partial trust exists among participants. The data stored on the blockchain is replicated across all nodes in the network, ensuring accessibility to all participants. While this aspect facilitates traceability, integrity, and persistence, it poses challenges for adopting public blockchains in enterprise settings due to confidentiality issues. In this paper, we present a software tool named Control Access via Key Encryption (CAKE), designed to ensure data confidentiality in scenarios involving public blockchains. After outlining its core components and functionalities, we showcase the application of CAKE in the context of a real-world cyber-security project within the logistics domain.
Paper: https://doi.org/10.1007/978-3-031-61000-4_16
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Infrastructure Challenges in Scaling RAG with Custom AI modelsZilliz
Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
OpenID AuthZEN Interop Read Out - AuthorizationDavid Brossard
During Identiverse 2024 and EIC 2024, members of the OpenID AuthZEN WG got together and demoed their authorization endpoints conforming to the AuthZEN API
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
1. AWS Cloud Kata for Start-Ups and Developers
Taipei
Overview of IoT Infrastructure
and Connectivity at AWS
Dean Samuels, AWS SA Manager
August 30th, 2016
5. IoT - Building Blocks for Innovation
• Products that get smarter over time
• Processes that are more efficient and predictable
• Closer relationship with your customers
• New offerings that weren’t possible before
9. However…
- Devices are hard to connect and manage
- Things do not interoperate out of the box
- Low signal to noise ratio in collected data
- Applications and things do not always match
10. Four Tenets For IoT Solu.ons
Quickly analyze,
execute, and if
necessary dispose of
business and
technical ini=a=ves
Seamlessly expand
infrastructure to
meet opera=onal
demands
Secure the
communica=on from
device through
infrastructure
Understand and
control costs of
opera=ng an IoT
plaBorm
Agility Scale Security Cost
13. AWS Pla4orm For IoT
App
Backend
API
Gateway
Lambda
Edge Service
CloudFront
Companion
Apps
Analytics
RedShift
Data
Storage
S3
SDKs
C, iOS
Android
Machine
Learning
Machine
Learning
DynamoDB
AWS Global Infrastructure APN Partner Solutions
Kinesis
Ingestion,
Protocols
& Security
Device
Shadows
Mobile Hub
EMR
Reference
Hardware
Rules
Engine
AWS IoT
14. AWS IoT
“Securely connect billions of
devices to AWS,
so they can interact with
applications and other
devices”
15. AWS IoT
DEVICE SDK
Set of client libraries to
connect, authenticate and
exchange messages
DEVICE GATEWAY
Communicate with devices via
MQTT and HTTP
AUTHENTICATION
AUTHORIZATION
Secure with mutual
authentication and encryption
RULES ENGINE
Transform messages
based on rules and
route to AWS Services
AWS Services
- - - - -
3P Services
DEVICE SHADOW
Persistent thing state
during intermittent
connections
APPLICATIONS
AWS IoT API
DEVICE REGISTRY
Identity and Management of
your things
16. AWS IoT Device Gateway
DEVICE GATEWAY
Communicate with devices via
MQTT and HTTP
17. AWS IoT Device Gateway
Standard Protocol support through
MQTT and HTTP 1.1
Highly Scalable Pub/Sub Broker
with Long-lived bi-directional
messages to enable clients to receive
commands and control signals
Secure by Default
Authenticated and secured via X.509
Certs and TLS 1.2 Client Mutual Auth
Topic Based
Architecture
(lights/thing-2/color)
Highly Scalable
Device Gateway
18. AWS IoT Security
AUTHENTICATION
Secure with mutual
authentication and encryption
AUTHENTICATION
AUTHORIZATION
Secure with mutual
authentication and encryption
19. One Service, Two Protocols
MQTT HTTP
Server Auth TLS + Cert TLS + Cert
Client Auth TLS + Cert AWS API Keys
Confidentiality TLS TLS
Identification AWS ARNs AWS ARNs
Authorization AWS Policy AWS Policy
20. AWS IoT Rules Engine
RULES ENGINE
Transform messages
based on rules and
route to AWS Services
21. Simple & Familiar Syntax
• SQL Statement to define topic filter
• Optional WHERE clause
• Advanced JSON support
• String manipulation (regex support)
• Mathematical operations
• Crypto support
• UUID, Timestamp, rand, etc.
AWS IoT Rules Engine Basics
SELECT *
FROM ‘things/*/color’
WHERE color = ‘red’
22. AWS IoT Rules Engine Actions
RULES ENGINE
Transform messages
based on rules and
route to AWS Services
AWS Services
- - - - -
3P Services
AWS Services
- - - - -
3P Services
24. AWS IoT Thing Shadow
THING SHADOW
Persistent thing state
during intermittent
connections
SHADOW
Persistent thing state
during intermittent
connections
APPLICATIONS
25. AWS IoT Thing Shadow
Shadow
Virtual representation of
your device in the cloud
26. AWS IoT Registry
THING REGISTRY
Identity and Management of
your things
REGISTRY
Identity and Management of
your things
27. AWS IoT Registry
• Every device connected to AWS IoT is
registered in the device registry
• Registry contains static attributes
associated to the thing, such as
• Firmware version
• Serial Numbers
• Device Type
• Device Group
• Sensor description
28. AWS IoT – Device Management
S3 Holds Versioned Firmware Distributions
Organize and secure your firmware binaries in S3
Message Broker notifies groups of the fleet using Topic Patterns
Alert the fleet (or part of it) of the update, and send URL to download
Firmware Update
Stored in S3
Publish to groups of devices
• Rules Engine keeps
state of updates and
tracks progress in a
DynamoDB Table
• Store Version in
Registry Entry
29. AWS IoT Device SDK
THING REGISTRY
Identity and Management of
your things
DEVICE SDK
Set of client libraries to
connect, authenticate and
exchange messages
30. Get Started with AWS IoT Device SDK
C-SDK
(Ideal for embedded
OS)
JS-SDK
(Ideal for Embedded
Linux Platforms)
Arduino Library
(Arduino Yun)
Mobile SDK
(Android and iOS)
32. AWS IoT
DEVICE SDK
Set of client libraries to
connect, authenticate and
exchange messages
DEVICE GATEWAY
Communicate with devices via
MQTT and HTTP
AUTHENTICATION
AUTHORIZATION
Secure with mutual
authentication and encryption
RULES ENGINE
Transform messages
based on rules and
route to AWS Services
AWS Services
- - - - -
3P Services
DEVICE SHADOW
Persistent thing state
during intermittent
connections
APPLICATIONS
AWS IoT API
DEVICE REGISTRY
Identity and Management of
your things
33. Hardware
Semiconductors manuf.
Semiconductors integrators
Semiconductors distributors
Gateway or hardware
solution manuf.
Operating Systems
Linux, Windows, Mobile
Real Time OS
IDE support (web or local)
Communication
Telco, NVNO
Free range providers
Telco management solutions
IoT Analytics
Generic or dedicated
IoT Management
IoT Platform Cloud based or not
Vertical players
Strong in specific verticals
Strong on specific use cases
Strategic Partners
Strategic importanceConsulting
SI and GSI
IoT: Partners Are Key
34. The Power Of Speech: Alexa
Alexa Voice
Services
Amazon
Echo
Alexa
Skills KitIoT Apps, Back
End System, Big
Data, Machine
Learning, Storage
Companion Apps
Lambda
AWS IoT
Voice Control
• Alexa - With the Alexa Skills Kit,
you can easily build and add your
own skills to Alexa.
• AWS IoT manages the connection
devices and integration with ASK,
as well as other backend systems
and companion apps.
• Build skills for Alexa using AWS
Lambda. Simply write the code
using and upload it as a Lambda
function.
• Alexa Voice Service brings voice-
powered experiences to any
connected devices.
DeviceConnection
35.
36. Customer Reference - Rachio
Sprinkler
Controller
Lambda Function
Background: Wifi Connected Home Sprinkler System. Easily calibrate soil,
vegetation, slope, sun exposure, and nozzle types
Project:2nd Generation Controller and cloud backend.
Challenge: Previously built with a HiveMQ Broker. For a growing business this
presented scaling and management issues for the planned 3X growth 2016. Rachio
was considering other IoT platform options for their 2nd generation device that
involved significant effort to manage the infrastructure. Early beta participant,
workshops and deep engagement from the BD and Service Teams.
Impact: By using AWS IoT, they project they will save $90,000 per year. For
customers, striving to save 1 billion gallons of water in 2016..
37. AWS Cloud Kata for Start-Ups and Developers
What’s next?
A Hands-on Workshop
on AWS Infrastructure Services
Date: Sep 29, 2016
AWS 10-Minute Tutorials
“Hello, World!” technical
documents to help you get
hands-on with AWS.