We are collecting tons of sensor data from billions of devices. How do you get the value from your IoT data sources? In this session, we will explore different strategies for collecting and ingesting data, understanding its frequency, and leveraging the potential of the cloud to analyze and predict trends and behavior to get most out of your deployed devices.
(MBL203) Drones to Cars: Connecting the Devices in Motion to the CloudAmazon Web Services
Whether you are an automobile manufacturer, dispatch service, or drone manufacturer, your world is getting smarter. AWS provides all the building blocks required to build next-generation, Internet-connected devices that are in motion. In this session, we will share some best practices and architectural patterns device manufacturers can leverage for any connected device that is in motion to reliably and securely connect to AWS.
(MBL312) NEW! AWS IoT: Programming a Physical World w/ Shadows & RulesAmazon 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. As an IoT developer, you would like to interact with the devices and information from these devices using applications. With AWS IoT topic-based rules and built-in integrations, you can route data from any device to AWS service like DynamoDB, Lambda etc and interact with the devices using topics. With AWS IoT Thing shadows, you can interact with the device using applications. Let's dive deep on how we can define the rules and also retrieve the last known and desired state of device using a device shadow in the cloud and leverage the true power of AWS IoT.
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.
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.
Introducing AWS IoT - Interfacing with the Physical World - Technical 101Amazon 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. If you are a manufacturer of a connected device or developer looking to extend your application into the physical world, this session will introduce you to AWS IoT services, how you can utilise and build your IoT solutions on the AWS Cloud.
Speaker: Clayton Brown, Solutions Architect, Amazon Web Services
Featured Customer - Organic Response
WEB PAGES
IOT History - Internet connected vending machine
http://cseweb.ucsd.edu/~bsy/coke.history.txt
IOT History Internet connected toasters
https://recombu.com/digital/article/internet-connected-toasters-a-history_M10281.html
IoT Overview
https://aws.amazon.com/iot/how-it-works/
AWS IOT Service - FAQ's
https://aws.amazon.com/iot/faqs/
AWS IOT Service - Prototyping Starter Kits
https://aws.amazon.com/iot/getting-started/
AWS IOT Service - Device SDKs
https://aws.amazon.com/iot/sdk/
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 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.
(MBL203) Drones to Cars: Connecting the Devices in Motion to the CloudAmazon Web Services
Whether you are an automobile manufacturer, dispatch service, or drone manufacturer, your world is getting smarter. AWS provides all the building blocks required to build next-generation, Internet-connected devices that are in motion. In this session, we will share some best practices and architectural patterns device manufacturers can leverage for any connected device that is in motion to reliably and securely connect to AWS.
(MBL312) NEW! AWS IoT: Programming a Physical World w/ Shadows & RulesAmazon 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. As an IoT developer, you would like to interact with the devices and information from these devices using applications. With AWS IoT topic-based rules and built-in integrations, you can route data from any device to AWS service like DynamoDB, Lambda etc and interact with the devices using topics. With AWS IoT Thing shadows, you can interact with the device using applications. Let's dive deep on how we can define the rules and also retrieve the last known and desired state of device using a device shadow in the cloud and leverage the true power of AWS IoT.
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.
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.
Introducing AWS IoT - Interfacing with the Physical World - Technical 101Amazon 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. If you are a manufacturer of a connected device or developer looking to extend your application into the physical world, this session will introduce you to AWS IoT services, how you can utilise and build your IoT solutions on the AWS Cloud.
Speaker: Clayton Brown, Solutions Architect, Amazon Web Services
Featured Customer - Organic Response
WEB PAGES
IOT History - Internet connected vending machine
http://cseweb.ucsd.edu/~bsy/coke.history.txt
IOT History Internet connected toasters
https://recombu.com/digital/article/internet-connected-toasters-a-history_M10281.html
IoT Overview
https://aws.amazon.com/iot/how-it-works/
AWS IOT Service - FAQ's
https://aws.amazon.com/iot/faqs/
AWS IOT Service - Prototyping Starter Kits
https://aws.amazon.com/iot/getting-started/
AWS IOT Service - Device SDKs
https://aws.amazon.com/iot/sdk/
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 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.
Join the “AWS Services Overview” webinar to take a fast-paced 45-minute tour through our broad range of new and existing services. During the webinar, you will have the opportunity to propose questions for the live Q&A session following the presentation.
Learning Objectives:
• Overview of AWS New & Existing Services
• Advice for Getting Started
Who Should Attend:
• IT Administrators, IT Directors, IT Architects, and Technology or Business Decision Makers
AWS re:Invent 2016: Building IoT Applications with AWS and Amazon Alexa (HLC304)Amazon Web Services
Alexa, what is the Internet of Things? Now that technology is small enough to be embedded in everyday devices, Healthcare has an opportunity to exploit the extraordinary potential of connecting ordinary devices. In this presentation, we explain how to rapidly build an IoT system and how to drive the Cloud with your voice on an Amazon Echo. In addition to describing how to use Alexa, we explore using AWS IoT, Lambda, Amazon SNS, and DynamoDB.
(MBL303) Build Mobile Apps for IoT Devices and IoT Apps for DevicesAmazon Web Services
Whether you are creating a mobile app that controls an IoT device (such as a wearable) or an IoT device that uses the mobile phone as the relay/hub to connect to the cloud, there are various design patterns to consider. In this session, we will focus on use cases and architectures for mobile phone and IoT-connected products that leverage proximal network protocols, Wi-Fi, or cellular to connect to the cloud for high-velocity and low-velocity telemetry or command and control.
AWS IoT is a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices. In this tech talk, 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 the protocol of their choice. We will use the AWS IoT Starter Kit to demonstrate building a real connected product, securely connect with AWS IoT using MQTT, WebSockets, and HTTP protocols, and show how developers and businesses can leverage features of AWS IoT like Device Shadows and the Rules Engine, which provides message processing and integration with other AWS services.
Getting Started with AWS IoT - September 2016 Webinar SeriesAmazon 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 the protocol of their choice. We will use the AWS IoT Starter Kit to demonstrate building a real connected product, securely connect with AWS IoT using MQTT, WebSockets, and HTTP protocols, and show how developers and businesses can leverage features of AWS IoT like Device Shadows, and the Rules Engine, which provides message processing and integration with other AWS services.
Learning Objectives:
• Introduction to the Internet of Things
• Understand what AWS IoT is and an introduction to the Internet of Things
• Understand connecting a device
• Understand using the Device Gateway, Rules Engine, Device Registry, and Device Shadows
Who Should Attend:
• IoT Developers
AWS IoT is a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices. In this session, we will discuss how constrained devices in Enterprise environments can securely connect to the cloud over HTTP, MQTT and WebSockets. We will discuss how developers can use the AWS IoT Rules Engine and Thing Shadows. Finally, we will cover new features released since the launch of AWS IoT including integration with Amazon Machine Learning and ElasticSearch.
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..
Log Analytics with Amazon Elasticsearch Service - September Webinar SeriesAmazon Web Services
Elasticsearch is a popular open-source search and analytics engine used for log analytics. With Amazon Elasticsearch Service, you can easily run Elasticsearch on AWS. In this webinar, we will provide an overview of Amazon Elasticsearch Service and demo how to set up and configure an Amazon Elasticsearch domain for the log analytics use case.
Learning Objectives:
'- Understand Amazon Elasticsearch Service use cases and key features
- Learn how to secure your Amazon Elasticsearch cluster for access from Kibana and other plug-ins
- Learn best practices for scaling, monitoring, and troubleshooting Amazon Elasticsearch domains
Rackspace provides a comprehensive set of tooling and expertise on AWS that further unlocks your ability to secure your environment efficiently and cost effectively. The dynamic environment of data, applications, and infrastructure can pose challenges for businesses trying to manage security while following compliance regulations. To mitigate these challenges, businesses need a scalable security solution to ensure their data is safe, secure, and stable. In this webinar, Brad Schulteis, Jarret Raim and Todd Gleason will discuss the topic of security control requirements on AWS through the lens of three common compliance scenarios: HIPAA, PCI-DSS, and generalized security compliance based on the NIST Risk Management Framework. Watch our webinar to learn how Rackspace combines AWS and security expertise with tools like AWS CloudFormation, AWS CodeCommit and AWS CodeDeploy to help customers meet their security and compliance needs.
Join us to learn:
• Best practices for securely operating workloads on the AWS Cloud
• Architecting a secure environment for dynamic workloads
• How to incorporate Security by Design principles to address compliance needs across 3 use cases: HIPAA, PCI-DSS and generalized security compliance based on the NIST Risk Management Framework
Who should attend: Directors and Managers of Security, IT Administers, IT Architects, and IT Security Engineers
This is a presentation given at the Capital Saratoga Region AWS User Group on May 18, 2017 at The Troy Innovation Garage in Troy, NY.
Before diving into AWS IoT, we take a step back and talk about IoT from a high level overview. We discuss some of the common problems and challenges with IoT projects and then take a walk through AWS IoT and discuss its approach to solve some of those common challenges. We then connect an IoT Button to an AWS IoT project and demonstrate the basic components of building AWS IoT solutions.
Deep Dive: Developing, Deploying & Operating Mobile Apps with AWS Amazon Web Services
In this session we’ll dive deeper into how you can test mobile applications on real devices, using AWS Device Farm, how to get business insights wirh AWS Mobile Analytics and Amazon Redshift, and keep your customers engaged using Amazon SNS Mobile Push and the new Worldwide Delivery of Amazon SNS Messages via SMS.
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.
Using AWS CloudTrail and AWS Config to Enhance Governance and Compliance of A...Amazon Web Services
As organizations move their workloads to the cloud, companies must take steps to protect and audit their private and confidential information. This session will focus on Amazon S3 best practices and using AWS Config rules and AWS CloudTrail Data Events to help better protect data residing within S3. The session will include a demonstration to show how Config and CloudTrail, in combination with other AWS Services, can help with S3 governance and compliance requirements.
AWS re:Invent 2016: IoT Visualizations and Analytics (IOT306)Amazon Web Services
In this workshop, we focus on visualizations of IoT data using ELK, Amazon Elasticsearch, Logstash, and Kibana or Amazon Kinesis. We will dive into how these visualizations can give you new capabilites and understanding when interacting with your device data from the context they provide on the world around them.
NASA LandSat data can be stored, transformed, navigated, and visualized. In this session we will explore how the LandSat dataset is stored in Amazon Simple Storage Service (S3), one of the recommended cloud storage services in AWS for storage of petabytes of data, and how data stored in S3 can be processed on the server with the Lambda service, visualized for users, and made available to search engines.
Create by: Ben Snively, Senior Solutions Architect
Join the “AWS Services Overview” webinar to take a fast-paced 45-minute tour through our broad range of new and existing services. During the webinar, you will have the opportunity to propose questions for the live Q&A session following the presentation.
Learning Objectives:
• Overview of AWS New & Existing Services
• Advice for Getting Started
Who Should Attend:
• IT Administrators, IT Directors, IT Architects, and Technology or Business Decision Makers
AWS re:Invent 2016: Building IoT Applications with AWS and Amazon Alexa (HLC304)Amazon Web Services
Alexa, what is the Internet of Things? Now that technology is small enough to be embedded in everyday devices, Healthcare has an opportunity to exploit the extraordinary potential of connecting ordinary devices. In this presentation, we explain how to rapidly build an IoT system and how to drive the Cloud with your voice on an Amazon Echo. In addition to describing how to use Alexa, we explore using AWS IoT, Lambda, Amazon SNS, and DynamoDB.
(MBL303) Build Mobile Apps for IoT Devices and IoT Apps for DevicesAmazon Web Services
Whether you are creating a mobile app that controls an IoT device (such as a wearable) or an IoT device that uses the mobile phone as the relay/hub to connect to the cloud, there are various design patterns to consider. In this session, we will focus on use cases and architectures for mobile phone and IoT-connected products that leverage proximal network protocols, Wi-Fi, or cellular to connect to the cloud for high-velocity and low-velocity telemetry or command and control.
AWS IoT is a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices. In this tech talk, 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 the protocol of their choice. We will use the AWS IoT Starter Kit to demonstrate building a real connected product, securely connect with AWS IoT using MQTT, WebSockets, and HTTP protocols, and show how developers and businesses can leverage features of AWS IoT like Device Shadows and the Rules Engine, which provides message processing and integration with other AWS services.
Getting Started with AWS IoT - September 2016 Webinar SeriesAmazon 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 the protocol of their choice. We will use the AWS IoT Starter Kit to demonstrate building a real connected product, securely connect with AWS IoT using MQTT, WebSockets, and HTTP protocols, and show how developers and businesses can leverage features of AWS IoT like Device Shadows, and the Rules Engine, which provides message processing and integration with other AWS services.
Learning Objectives:
• Introduction to the Internet of Things
• Understand what AWS IoT is and an introduction to the Internet of Things
• Understand connecting a device
• Understand using the Device Gateway, Rules Engine, Device Registry, and Device Shadows
Who Should Attend:
• IoT Developers
AWS IoT is a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices. In this session, we will discuss how constrained devices in Enterprise environments can securely connect to the cloud over HTTP, MQTT and WebSockets. We will discuss how developers can use the AWS IoT Rules Engine and Thing Shadows. Finally, we will cover new features released since the launch of AWS IoT including integration with Amazon Machine Learning and ElasticSearch.
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..
Log Analytics with Amazon Elasticsearch Service - September Webinar SeriesAmazon Web Services
Elasticsearch is a popular open-source search and analytics engine used for log analytics. With Amazon Elasticsearch Service, you can easily run Elasticsearch on AWS. In this webinar, we will provide an overview of Amazon Elasticsearch Service and demo how to set up and configure an Amazon Elasticsearch domain for the log analytics use case.
Learning Objectives:
'- Understand Amazon Elasticsearch Service use cases and key features
- Learn how to secure your Amazon Elasticsearch cluster for access from Kibana and other plug-ins
- Learn best practices for scaling, monitoring, and troubleshooting Amazon Elasticsearch domains
Rackspace provides a comprehensive set of tooling and expertise on AWS that further unlocks your ability to secure your environment efficiently and cost effectively. The dynamic environment of data, applications, and infrastructure can pose challenges for businesses trying to manage security while following compliance regulations. To mitigate these challenges, businesses need a scalable security solution to ensure their data is safe, secure, and stable. In this webinar, Brad Schulteis, Jarret Raim and Todd Gleason will discuss the topic of security control requirements on AWS through the lens of three common compliance scenarios: HIPAA, PCI-DSS, and generalized security compliance based on the NIST Risk Management Framework. Watch our webinar to learn how Rackspace combines AWS and security expertise with tools like AWS CloudFormation, AWS CodeCommit and AWS CodeDeploy to help customers meet their security and compliance needs.
Join us to learn:
• Best practices for securely operating workloads on the AWS Cloud
• Architecting a secure environment for dynamic workloads
• How to incorporate Security by Design principles to address compliance needs across 3 use cases: HIPAA, PCI-DSS and generalized security compliance based on the NIST Risk Management Framework
Who should attend: Directors and Managers of Security, IT Administers, IT Architects, and IT Security Engineers
This is a presentation given at the Capital Saratoga Region AWS User Group on May 18, 2017 at The Troy Innovation Garage in Troy, NY.
Before diving into AWS IoT, we take a step back and talk about IoT from a high level overview. We discuss some of the common problems and challenges with IoT projects and then take a walk through AWS IoT and discuss its approach to solve some of those common challenges. We then connect an IoT Button to an AWS IoT project and demonstrate the basic components of building AWS IoT solutions.
Deep Dive: Developing, Deploying & Operating Mobile Apps with AWS Amazon Web Services
In this session we’ll dive deeper into how you can test mobile applications on real devices, using AWS Device Farm, how to get business insights wirh AWS Mobile Analytics and Amazon Redshift, and keep your customers engaged using Amazon SNS Mobile Push and the new Worldwide Delivery of Amazon SNS Messages via SMS.
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.
Using AWS CloudTrail and AWS Config to Enhance Governance and Compliance of A...Amazon Web Services
As organizations move their workloads to the cloud, companies must take steps to protect and audit their private and confidential information. This session will focus on Amazon S3 best practices and using AWS Config rules and AWS CloudTrail Data Events to help better protect data residing within S3. The session will include a demonstration to show how Config and CloudTrail, in combination with other AWS Services, can help with S3 governance and compliance requirements.
AWS re:Invent 2016: IoT Visualizations and Analytics (IOT306)Amazon Web Services
In this workshop, we focus on visualizations of IoT data using ELK, Amazon Elasticsearch, Logstash, and Kibana or Amazon Kinesis. We will dive into how these visualizations can give you new capabilites and understanding when interacting with your device data from the context they provide on the world around them.
NASA LandSat data can be stored, transformed, navigated, and visualized. In this session we will explore how the LandSat dataset is stored in Amazon Simple Storage Service (S3), one of the recommended cloud storage services in AWS for storage of petabytes of data, and how data stored in S3 can be processed on the server with the Lambda service, visualized for users, and made available to search engines.
Create by: Ben Snively, Senior Solutions Architect
AWS May Webinar Series - Streaming Data Processing with Amazon Kinesis and AW...Amazon Web Services
If you are interested to know more about AWS Chicago Summit, please use the following to register: http://amzn.to/1RooPPL
Amazon Kinesis is a fully managed, cloud-based service for real-time data processing over large, distributed data streams. AWS Lambda is a compute service that runs your code in response to events and automatically manages the compute resources for you. AWS Lambda can run code in response to data in Amazon Kinesis streams, making it easy to build big data applications that respond quickly to new information. In this webinar, we will cover key Kinesis and Lambda features, walk through sample use cases for stream processing, and discuss best practices on using the services together. We'll then demonstrate setting up an Amazon Kinesis stream and an associated Lambda function to capture and perform custom computations on click-stream data, all without setting up any infrastructure.
Learning Objectives: • Understand key Amazon Kinesis and AWS Lambda features • Learn how to setup streaming data capture and processing framework using AWS Lambda • Learn sample use cases, best practices and tips on using AWS Lambda with Amazon Kinesis
Who Should Attend: • Developers, Devops Engineers, IT Operations Professionals
As serverless architectures become more popular, AWS customers need a framework of patterns to help them deploy their workloads without managing servers or operating systems.
As serverless architectures become more popular, AWS customers need a framework of patterns to help them deploy their workloads without managing servers or operating systems.
Amazon Kinesis Platform – The Complete Overview - Pop-up Loft TLV 2017Amazon Web Services
Real-Time Streaming Analytics became popular amongst many verticals and use cases. In AdTech, Gaming, Financial Service and IoT, AWS customers are leveraging Amazon Kinesis platform to ingest billions of events every day and process them in real-time. In this session, we will discuss Amazon Kinesis Streams, Amazon Kinesis Firehose and Amazon Kinesis Analytics. We will show best practice and design patterns in integrating Amazon Kinesis platform with other services like Amazon EMR, Redshift, Amazon Elasticsearch and AWS lambda as well as 3rd party connectors like storm, Spark and more.
AWS Lambda is a new compute service that runs your code in response to events and automatically manages compute resources for you. In this session you’ll learn what you need to quickly begin building applications that use AWS Lambda as a serverless back-end. We’ll cover key Lambda features, its programming model, key scenarios, and tips on getting the most out of Lambda functions.
Building Big Data Applications with Serverless Architectures - June 2017 AWS...Amazon Web Services
Learning Objectives:
- Use cases and best practices for serverless big data applications
- Leverage AWS technologies such as AWS Lambda and Amazon Kinesis
- Learn to perform ETL, event processing, ad-hoc analysis, real-time processing, and MapReduce with serverless
Building data processing applications is challenging and time-consuming, and often requires specialized expertise to deploy and operate. With serverless computing, you can perform real-time stream processing of multiple data types without needing to spin up servers or install software, allowing you to deploy big data applications quickly and more easily. Come learn how you can use AWS Lambda with Amazon Kinesis to analyze streaming data in real-time and then store the results in a managed NoSQL database such as Amazon DynamoDB. You’ll learn tips and tricks for doing in-line processing, data manipulation, and even distributed MapReduce on large data sets.
Why Scale Matters and How the Cloud is Really Different (at scale)Amazon Web Services
Cloud computing gives you a number of advantages, such as being able to scale your application on demand. As a new business looking to use the cloud, you inevitably ask yourself, "Where do I start?" Join us in this session to understand best practices for scaling your resources from zero to millions of users. We will show you how to best combine different AWS services, make smarter decisions for architecting your application, and best practices for scaling your infrastructure in the cloud.
Presenter:
Santanu Dutt, Solution Architect, Amazon Internet Services
Vinayak Hegde, Vice President – Engineering, Helpshift
Sunny Saxena, Product Lead, Sprinklr
As the amount of data being created by applications increases, the requirement to keep pace in this space becomes increasingly difficult. This session covers how to properly collect, manage and present the data usefully using service offerings from Amazon Web Services such as Amazon RedShift and Amazon Kinesis. At this session we will include live demo on parsing the data generated and management of the data.
Alex Smith, Solutions Architect, Amazon Web Services, ASEAN
Streaming Data Analytics with Amazon Redshift and Kinesis FirehoseAmazon Web Services
Evolving your analytics from batch processing to real-time processing can have a major business impact, but ingesting streaming data into your data warehouse requires building complex streaming data pipelines. Amazon Kinesis Firehose solves this problem by making it easy to transform and load streaming data into Amazon Redshift so that you can use existing analytics and business intelligence tools to extract information in near real-time and respond promptly. In this session, we will dive deep using Amazon Kinesis Firehose to load streaming data into Amazon Redshift reliably, scalably, and cost-effectively.
Building a Real Time Dashboard with Amazon Kinesis, Amazon Lambda and Amazon ...Amazon Web Services
Organisations today need a way to manage the ever-increasing volume of data from numerous sources such as log systems, click streams or connected devices and be able to analyse this data in real-time. In this session we will walk through an architecture demonstration of how to leverage AWS services to meet these needs.
Speaker: Ganesh Raja, Solutions Architect, Amazon Web Services
BDA402 Deep Dive: Log Analytics with Amazon Elasticsearch ServiceAmazon Web Services
Everything generates logs. Applications, infrastructure, security ... everything. Keeping track of the flood of log data is a big challenge, yet critical to your ability to understand your systems and troubleshoot (or prevent) issues. In this session, we will use both Amazon CloudWatch and application logs to show you how to build an end-to-end log analytics solution. First, we cover how to configure an Amazon Elaticsearch Service domain and ingest data into it using Amazon Kinesis Firehose, demonstrating how easy it is to transform data with Firehose. We look at best practices for choosing instance types, storage options, shard counts, and index rotations based on the throughput of incoming data and configure a secure analytics environment. We demonstrate how to set up a Kibana dashboard and build custom dashboard widgets. Finally, we dive deep into the Elasticsearch query DSL and review approaches for generating custom, ad-hoc reports.
Deep Dive On Object Storage: Amazon S3 and Amazon Glacier - AWS PS Summit Can...Amazon Web Services
Learn about the different ways you can accelerate data transfer into S3 and get a close look at new tools to secure and manage your data more efficiently. Discover how AWS customers have built solutions that turn their data into a strategic asset.
Speakers: Ben Thurgood. Solutions Architect. Amazon Web Services with Timothy Eckersley, Enterprise Architect, NSW Pathology
Level: 300
Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...Amazon Web Services
Il Forecasting è un processo importante per tantissime aziende e viene utilizzato in vari ambiti per cercare di prevedere in modo accurato la crescita e distribuzione di un prodotto, l’utilizzo delle risorse necessarie nelle linee produttive, presentazioni finanziarie e tanto altro. Amazon utilizza delle tecniche avanzate di forecasting, in parte questi servizi sono stati messi a disposizione di tutti i clienti AWS.
In questa sessione illustreremo come pre-processare i dati che contengono una componente temporale e successivamente utilizzare un algoritmo che a partire dal tipo di dato analizzato produce un forecasting accurato.
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...Amazon Web Services
La varietà e la quantità di dati che si crea ogni giorno accelera sempre più velocemente e rappresenta una opportunità irripetibile per innovare e creare nuove startup.
Tuttavia gestire grandi quantità di dati può apparire complesso: creare cluster Big Data su larga scala sembra essere un investimento accessibile solo ad aziende consolidate. Ma l’elasticità del Cloud e, in particolare, i servizi Serverless ci permettono di rompere questi limiti.
Vediamo quindi come è possibile sviluppare applicazioni Big Data rapidamente, senza preoccuparci dell’infrastruttura, ma dedicando tutte le risorse allo sviluppo delle nostre le nostre idee per creare prodotti innovativi.
Ora puoi utilizzare Amazon Elastic Kubernetes Service (EKS) per eseguire pod Kubernetes su AWS Fargate, il motore di elaborazione serverless creato per container su AWS. Questo rende più semplice che mai costruire ed eseguire le tue applicazioni Kubernetes nel cloud AWS.In questa sessione presenteremo le caratteristiche principali del servizio e come distribuire la tua applicazione in pochi passaggi
Vent'anni fa Amazon ha attraversato una trasformazione radicale con l'obiettivo di aumentare il ritmo dell'innovazione. In questo periodo abbiamo imparato come cambiare il nostro approccio allo sviluppo delle applicazioni ci ha permesso di aumentare notevolmente l'agilità, la velocità di rilascio e, in definitiva, ci ha consentito di creare applicazioni più affidabili e scalabili. In questa sessione illustreremo come definiamo le applicazioni moderne e come la creazione di app moderne influisce non solo sull'architettura dell'applicazione, ma sulla struttura organizzativa, sulle pipeline di rilascio dello sviluppo e persino sul modello operativo. Descriveremo anche approcci comuni alla modernizzazione, compreso l'approccio utilizzato dalla stessa Amazon.com.
Come spendere fino al 90% in meno con i container e le istanze spot Amazon Web Services
L’utilizzo dei container è in continua crescita.
Se correttamente disegnate, le applicazioni basate su Container sono molto spesso stateless e flessibili.
I servizi AWS ECS, EKS e Kubernetes su EC2 possono sfruttare le istanze Spot, portando ad un risparmio medio del 70% rispetto alle istanze On Demand. In questa sessione scopriremo insieme quali sono le caratteristiche delle istanze Spot e come possono essere utilizzate facilmente su AWS. Impareremo inoltre come Spreaker sfrutta le istanze spot per eseguire applicazioni di diverso tipo, in produzione, ad una frazione del costo on-demand!
In recent months, many customers have been asking us the question – how to monetise Open APIs, simplify Fintech integrations and accelerate adoption of various Open Banking business models. Therefore, AWS and FinConecta would like to invite you to Open Finance marketplace presentation on October 20th.
Event Agenda :
Open banking so far (short recap)
• PSD2, OB UK, OB Australia, OB LATAM, OB Israel
Intro to Open Finance marketplace
• Scope
• Features
• Tech overview and Demo
The role of the Cloud
The Future of APIs
• Complying with regulation
• Monetizing data / APIs
• Business models
• Time to market
One platform for all: a Strategic approach
Q&A
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...Amazon Web Services
Per creare valore e costruire una propria offerta differenziante e riconoscibile, le startup di successo sanno come combinare tecnologie consolidate con componenti innovativi creati ad hoc.
AWS fornisce servizi pronti all'utilizzo e, allo stesso tempo, permette di personalizzare e creare gli elementi differenzianti della propria offerta.
Concentrandoci sulle tecnologie di Machine Learning, vedremo come selezionare i servizi di intelligenza artificiale offerti da AWS e, anche attraverso una demo, come costruire modelli di Machine Learning personalizzati utilizzando SageMaker Studio.
OpsWorks Configuration Management: automatizza la gestione e i deployment del...Amazon Web Services
Con l'approccio tradizionale al mondo IT per molti anni è stato difficile implementare tecniche di DevOps, che finora spesso hanno previsto attività manuali portando di tanto in tanto a dei downtime degli applicativi interrompendo l'operatività dell'utente. Con l'avvento del cloud, le tecniche di DevOps sono ormai a portata di tutti a basso costo per qualsiasi genere di workload, garantendo maggiore affidabilità del sistema e risultando in dei significativi miglioramenti della business continuity.
AWS mette a disposizione AWS OpsWork come strumento di Configuration Management che mira ad automatizzare e semplificare la gestione e i deployment delle istanze EC2 per mezzo di workload Chef e Puppet.
Scopri come sfruttare AWS OpsWork a garanzia e affidabilità del tuo applicativo installato su Instanze EC2.
Microsoft Active Directory su AWS per supportare i tuoi Windows WorkloadsAmazon Web Services
Vuoi conoscere le opzioni per eseguire Microsoft Active Directory su AWS? Quando si spostano carichi di lavoro Microsoft in AWS, è importante considerare come distribuire Microsoft Active Directory per supportare la gestione, l'autenticazione e l'autorizzazione dei criteri di gruppo. In questa sessione, discuteremo le opzioni per la distribuzione di Microsoft Active Directory su AWS, incluso AWS Directory Service per Microsoft Active Directory e la distribuzione di Active Directory su Windows su Amazon Elastic Compute Cloud (Amazon EC2). Trattiamo argomenti quali l'integrazione del tuo ambiente Microsoft Active Directory locale nel cloud e l'utilizzo di applicazioni SaaS, come Office 365, con AWS Single Sign-On.
Dal riconoscimento facciale al riconoscimento di frodi o difetti di fabbricazione, l'analisi di immagini e video che sfruttano tecniche di intelligenza artificiale, si stanno evolvendo e raffinando a ritmi elevati. In questo webinar esploreremo le possibilità messe a disposizione dai servizi AWS per applicare lo stato dell'arte delle tecniche di computer vision a scenari reali.
Amazon Web Services e VMware organizzano un evento virtuale gratuito il prossimo mercoledì 14 Ottobre dalle 12:00 alle 13:00 dedicato a VMware Cloud ™ on AWS, il servizio on demand che consente di eseguire applicazioni in ambienti cloud basati su VMware vSphere® e di accedere ad una vasta gamma di servizi AWS, sfruttando a pieno le potenzialità del cloud AWS e tutelando gli investimenti VMware esistenti.
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
Crea la tua prima serverless ledger-based app con QLDB e NodeJSAmazon Web Services
Molte aziende oggi, costruiscono applicazioni con funzionalità di tipo ledger ad esempio per verificare lo storico di accrediti o addebiti nelle transazioni bancarie o ancora per tenere traccia del flusso supply chain dei propri prodotti.
Alla base di queste soluzioni ci sono i database ledger che permettono di avere un log delle transazioni trasparente, immutabile e crittograficamente verificabile, ma sono strumenti complessi e onerosi da gestire.
Amazon QLDB elimina la necessità di costruire sistemi personalizzati e complessi fornendo un database ledger serverless completamente gestito.
In questa sessione scopriremo come realizzare un'applicazione serverless completa che utilizzi le funzionalità di QLDB.
Con l’ascesa delle architetture di microservizi e delle ricche applicazioni mobili e Web, le API sono più importanti che mai per offrire agli utenti finali una user experience eccezionale. In questa sessione impareremo come affrontare le moderne sfide di progettazione delle API con GraphQL, un linguaggio di query API open source utilizzato da Facebook, Amazon e altro e come utilizzare AWS AppSync, un servizio GraphQL serverless gestito su AWS. Approfondiremo diversi scenari, comprendendo come AppSync può aiutare a risolvere questi casi d’uso creando API moderne con funzionalità di aggiornamento dati in tempo reale e offline.
Inoltre, impareremo come Sky Italia utilizza AWS AppSync per fornire aggiornamenti sportivi in tempo reale agli utenti del proprio portale web.
Database Oracle e VMware Cloud™ on AWS: i miti da sfatareAmazon Web Services
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
In queste slide, gli esperti AWS e VMware presentano semplici e pratici accorgimenti per facilitare e semplificare la migrazione dei carichi di lavoro Oracle accelerando la trasformazione verso il cloud, approfondiranno l’architettura e dimostreranno come sfruttare a pieno le potenzialità di VMware Cloud ™ on AWS.
Amazon Elastic Container Service (Amazon ECS) è un servizio di gestione dei container altamente scalabile, che semplifica la gestione dei contenitori Docker attraverso un layer di orchestrazione per il controllo del deployment e del relativo lifecycle. In questa sessione presenteremo le principali caratteristiche del servizio, le architetture di riferimento per i differenti carichi di lavoro e i semplici passi necessari per poter velocemente migrare uno o più dei tuo container.
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.
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.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
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!
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
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.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
2. What to Expect from the Session
• Understand different kinds of data relevant to the IoT
• Learn how the AWS platform can help turn data into
insights & actions
• Ideas & advice on how to integrate various AWS
services with the Internet of Things
5. Source: McKinsey & Company 2013
Rapid Growth from 1B to
50B Connectable “Things”
All these “Things” generate data:
• Status information
• Sensor readings
• User interactions
• State changes
• Operational events
• …
6. One of the big challenges with the IoT is to
Collect Analyze Act on
data from devices to generate insights.
7. Three Ways to Analyze Data
Retrospective
analysis and
reporting
Past Data
8. Three Ways to Analyze Data
Retrospective
analysis and
reporting
Here-and-now
real-time processing
and dashboards
Present DataPast Data
9. Three Ways to Analyze Data
Retrospective
analysis and
reporting
Here-and-now
real-time processing
and dashboards
Predictions
to enable smart
applications
Past Data Present Data “Future Data”
10. Three Ways to Analyze Data
Retrospective
analysis and
reporting
Here-and-now
real-time processing
and dashboards
Predictions
to enable smart
applications
Amazon Kinesis
AWS Lambda
Amazon DynamoDB
Amazon EC2
Amazon Redshift
Amazon RDS
Amazon S3
Amazon EMR
Amazon Machine
Learning
12. IoT Requires Quick Processing
- Discover patterns in live sensor data
- Correlate events as they happen
- Enrich live data with additional info
Why?
- Trigger quick reactions
- Adapt to usage of Things
- Users want quick reaction & feedback
Here-and-now
real-time processing
and dashboards
13. IoT Requires Past Context
- Provide context for current events
- Keep information of past events to
determine long-term trends
Why?
- Enables learning from past data
- Enable reporting & explorative analysis
to understand usage
- Usage monitoring and billing (Long-
term storage of usage & billing
metrics)
Retrospective
analysis and
reporting
14. Predictions
to enable smart
applications
IoT Benefits from “Smart” Devices
- Detect patterns in event data
- Learn 'rules' / distributions in the data
Why?
- Predict future events
- Problems that are likely to appear
- Anticipate user actions (or desired
outcomes)
- Actionable predictions: what to do next
16. Indoor Temperature / Climate Sensors
• Fleet of indoor air conditioning units with 3 sensors each
• Deliver updates on temperature, humidity & pressure
every couple of seconds
• Connected to the cloud
• “Semi-reliable”
17. Sample Message As Sent By Device
{
"temperature" : "100",
"humidity" : "92",
"pressure" : "8”
}
18. MQTT Topic
MQTT Topic
MQTT Topic
• Each device uses
certificate authentication
• Send messages via MQTT
• One topic per device:
rooms/ac/${deviceID}DeviceID 1
DeviceID 2
DeviceID 3
AWS IoT
Service
(Pub/Sub
Broker)
19. Questions we might ask our Example Data:
- How many sensors are
connected right now?
- Is the current
temperature in line
with yesterday's / last
year's data?
- How did temperatures
change over time?
- What is the
relationship between
pressure and temp?
- Are our sensor
readings plausible?
- How can we tell a
broken sensor from a
good one?
- Do I have to wear a
sweater to work?
21. Highly scalable
Pub Sub Broker
MQTT
Subscribers
Publishers
Secure by Default
Connect securely via X509 Certs and
TLS v1.2 Client Mutual Auth
Multi-protocol Message Gateway
Millions of devices and apps can connect
over MQTT or HTTP.
topic
Elastic Pub Sub Broker
Go from 1 to 1-billion long-lived
connections with zero provisioning
AWS IoT: Securely Connect Devices
22. AWS IoT: Front Door to AWS
Device Registry
Cloud alter-ego of a physical device. Persists
metadata about the device.
Rules and Actions
Match patterns and take actions to send data
to other AWS services or republish
Device Shadows
Apps and devices can access “RESTful”
Shadow (state) that is in sync with
the device
Device
Thing Name
Sensor Temp
Actuator Servo
GetTemp()
Output LED
Rules Engine
Shadow
Registry
S3
Lambda,
Kinesis
Kinesis Firehose
DynamoDB
SNS
…
Mobile App
23. AWS IoT Rules Engine
Rules Engine evaluates inbound
messages published into AWS
IoT, transforms and delivers to the
appropriate endpoint based on
business rules.
External endpoints can be
reached via AWS Lambda and
Amazon Simple Notification
Service (SNS).
Invoke a Lambda function
Put object in an S3 bucket
Insert, Update, Read from
a DynamoDB table
Publish to an SNS Topic
or Endpoint
Publish to a Kinesis stream /
Actions
Amazon Kinesis Firehose
Republish to AWS IoT
24. Flexibility of Rules – An Example
SQL-like syntax
Where operators
Inline functions
Actions
"SELECT *,
clientId() as MQTTClientId
FROM 'room/ac/+'
WHERE temperature > 85",
"actions": [
{
”sns": {
"roleArn":
"arn:aws:iam::123456789012:role/SNSPutRole",
"topicArn": "arn:aws:sns:us-east-
1:123456789012:TempWarningNotification"
}]
26. Example: Receiving & Storing Data
- Devices set up as Things in Device Registry
- Each device sends data as JSON via MQTT
- One MQTT topic per device: rooms/ac/{deviceID}
- Each device has a certificate and access rights to use its
topic (already set up)
27. Our Goal:
• Move all (?) incoming data into permanent storage
• Make data available for later analysis:
- Reporting
- Billing / metering
- Explorative analysis
- Machine Learning
28. Our Approach:
1. Set up a Rule to Capture & Transform Incoming Data
2. Define an Action to Store the Data
3. Query & Analyze the Stored Data
29. 1) Set up a Rule to capture all sensor readings
{ "ruleName" : "Capture sensor readings",
"topicRulePayload" : {
"sql" : "SELECT *, clientId() as MQTTClientId
FROM 'rooms/ac/+' ",
"description": "capture data from all
sensors",
"actions" : [What goes here?],
"ruleDisabled" : false
}
}
30. 2) Define an Action to Store the Data
But where should we store it?
32. Storage Options: Amazon S3
Amazon S3
• Actions can directly write into (JSON) files on S3
• Very simple to configure, just provide bucket name
• Results in 1 file per event
• Lots of small files can be hard to handle
• Inefficient when processing with Hadoop / Amazon
EMR or when importing into Redshift
• Useful when you have a very low frequency of events,
e.g. when you only want to log outliers to S3
33. Storage Options: Amazon S3 (cont'd)
Amazon S3
• Buffer data using Amazon Kinesis or Amazon Kinesis
Firehose to get fewer, larger files
• Buffering, compression & output to S3 is built into
Firehose – no other infrastructure needed!
• Kinesis Connector Library can be extended to perform
transformation, filter or serialize data
• Additional Control over Buffering & Output Formats
• Added complexity: Requires Amazon EC2 workers
running Kinesis Connector Library
Amazon Kinesis
Firehose
34. Storage Options: Amazon Redshift
• Actions can forward data Amazon Kinesis Firehose
• Buffering & output to Redshift is built into Firehose
• Very easy to setup
• Fully managed
• Use Amazon Kinesis as an alternative
• More control: Use Kinesis Connector Library to
perform transformation, filter or serialize data
• Added complexity: Requires Kinesis Connector
Library etc. to execute on Amazon EC2
Amazon Kinesis
Firehose
Amazon Redshift
35. Storage Options: Amazon DynamoDB
• Actions can directly write into Amazon DynamoDB
• Creates one row per event, can define:
• Hash Key, Range Key and attributes to store
• E.g. Hash Key = deviceID, range key=timestamp…
• Very simple to configure, just provide table & field names
• Adding GSIs and LSIs provides additional flexibility and
enables different queries
• SELECTs can read from DynamoDB for fast lookups
Amazon
DynamoDB
37. Storage Options: Amazon DynamoDB (cont'd)
• AWS Lambda function provides additional flexibility:
• Transform data
• Write into different/multiple tables
• Enrich data with contextual information pulled in
from other sources
• Only able to process one event at a time! (i.e., AWS
Lambda –when called from AWS IoT– cannot aggregate
events before writing to DynamoDB)
Amazon
DynamoDB
AWS
Lambda
38. 3) Query & Analyze the Stored Data
How can we query the data?
41. Recommendations
Want to run a lot of queries constantly?
Use Kinesis Firehose to write into Amazon Redshift
Need fast lookups, e.g., in Rules or Lambda functions?
write into DynamoDB, add indices if necessary
Have a need for heavy queries but not always-on?
Use Kinesis Firehose & S3, process with Amazon EMR.
43. 1) Set up a Rule to capture all sensor readings
{ "sql" : "SELECT *, topic(3) as deviceID,
timestamp() as reading_time,
clientId() as MQTTClientId
FROM 'rooms/ac/+' ",
"description": "Forward sensor data to Firehose",
"actions" : [{
"firehose" : {
"deliveryStreamName": "sensors-firehose",
"roleArn": "string"
}
}],
"ruleDisabled" : false }
44. 2) Pump Data through Firehose into Redshift
sensors/devices
In a farm sending (Temp, Pressure, Humidity)
PolicyPrivate Key
& Certificate
Thing/Device
Rule
IAM Role
Policy
SDK
AWS IoT AWS Services
Actions
Publish
Store data from all
the field sensors in database
Amazon
Kinesis
Firehose
Amazon
Redshift
Rule: SELECT * FROM ‘rooms/ac/+’
45. 3) Analyze Data using Amazon QuickSight
PolicyPrivate Key
& Certificate
Thing/Device
Rule
IAM Role
Policy
SDK
AWS IoT AWS Services
Amazon
Kinesis
Firehose
Amazon
Redshift
Amazon
QuickSight
48. Our Goal:
• Alert on big temperature changes
• Collect & Visualize metrics current sensor readings
49. 1) Set up Rule to react to relevant sensor data
{ "ruleName" : "Notify on high temperatures",
"topicRulePayload" : {
"sql" : "SELECT *, clientId() as MQTTClientId
FROM 'rooms/ac/+'
WHERE temperature > 95 ",
"description": "Notify when temp exceeds 95",
"actions" : [What goes here?],
"ruleDisabled" : false
}
}
50. 1) Set up Rule to react to relevant sensor data
AWS IoT Rules
• only have access to the current event
• cannot take contextual information into account
Consider passing all the data to the Action for evaluation.
51. 2) Process the Data
What's the best way to
process this data?
53. Processing Options
AWS Lambda
• Processes a single event at a time (no batching)
• Enrich data with context information from other sources
• Perform transformations
• Run any node.js / Java function
• No infrastructure to manage!
54. Processing Options
• Great for alerts: Sends push notifications, emails and SMS
• Call other systems via HTTP POST / webhooks
(on AWS or on-premises)
• SNS Topics support multiple subscribers, incl. AWS
Lambda and Amazon SQS
Amazon SNS
55. Processing Options
• Great when events arrive with varying frequency
• Buffer data for asynchronous processing
• Ensure that no event data is lost
• SNS Topics support multiple subscribers, incl. AWS
Lambda and Amazon SQS
• Easily deploy SQS workers on AWS Elastic Beanstalk (or
Amazon EC2)
Amazon SQS
56. Processing Options
• Provides access to a "rolling window" of event data
• Scalable, can consume events from a multitude of different
rules / topics / devices
• Supports many independent, concurrent readers (&writers)
• Multiple processing options:
Amazon Kinesis
KCL
application
AWS
Lambda
57. Processing Options
• Scalable way to connect many different systems to the
stream of events, e.g., custom KCL code, Complex Event
Processing (CEP) products
• Amazon Kinesis is a hub for all stream processing needs
Amazon Kinesis
58. Example:
1. Read last N events from stream
2. Determine maximum and rate of increase since beginning
3. Decide if alert should be sent
Amazon Kinesis
59. Recommendations
Only care about individual events?
Invoke an AWS Lambda Function via Rule / Action
For sliding window analysis and more flexibility
Stream into Kinesis and Run AWS Lambda function
Use Amazon Kinesis as a Hub for all incoming events.
60. 3) Visualize the Current Metrics
• Managed Amazon Elasticsearch as a service
• Easy & fast indexing of data – well suited for lookups on
streaming data
• Easy to use visualization / dashboards using Kibana
Amazon
Elasticsearch
Service
63. Machine learning and smart devices
Machine learning is the technology that
automatically finds patterns in your data and
uses them to make predictions for new data
points as they become available
64. Machine learning and smart devices
Machine learning is the technology that
automatically finds patterns in your data and
uses them to make predictions for new data
points as they become available
Your devices + machine learning = smart devices
65. IoT Use Cases for Machine Learning
- Find potential problems by looking for patterns
- Identify engines that are about to break down
- Predict when supplies will run out
- Spot sensors that report implausible data
- Predict next movement / direction of a connected vehicle
- Based on driving parameters & observations from other cars
- Predict traffic jams before they occur
66. Amazon Machine Learning
Amazon
Machine Learning
• Real-time predictions (and batch)
• Training & evaluation of machine learning models
• Picks the right model & parameters, helps build training
data
67. Basic Approach
1. Collect / build training data
- Take past data for sensor readings (temperature, humidity,
pressure) –not the deviceID or timestamp– as input
- Target: we define which readings are 'correct' or incorrect and
add the target variable's value to the training data.
Amazon S3 Amazon Redshift
70. Basic Approach
4. Get predictions for events as they come in
Amazon
Machine LearningAmazon KinesisAmazon IoT AWS Lambda
Prediction
71. Basic Approach
1. Collect / build training data
- Determine input variables & target
- Evaluate the data to pick the target value for each set of
inputs in the data
2. Train a Machine Learning Model
- Builds a model based on the information in the training data
3. Create a real-time prediction endpoint for the model
- Outputs a prediction based on the input variables provided
4. Get predictions for events as they come in
72. Example Use Case: Filter out bad readings
1. Create a training data set based on past data & human
evaluation of the data
i.e., manually review the data and mark incorrect values
2. Train a Amazon ML model on this data to predict which
combinations are (in)correct
3. Invoke ML model on incoming data to predict
correctness
4. Alert staff via Amazon SNS push notification
74. Lambda Function
public String handleRequest(String input, Context context)
{
// Create AML client and cache endpoint
client = new AmazonMachineLearningClient(credentials);
// look up and cache the realtime endpoint for ML model
getRealtimeEndpoint();
PredictRequest request = new PredictRequest();
request.setMLModelId(mlModelId);
request.setPredictEndpoint(endpoint);
75. Lambda Function (continued)
// Populate record with relevant data
request.setRecord(jsonToMap(input));
PredictResult result = client.predict(request);
String label =
result.getPrediction().getPredictedLabel();
Float prob = result.getPrediction()
.getPredictedScores().get(label) * 100;
76. Lambda Function (continued)
String outputString = "Device is performing "
+ label + " with a probability of " + prob + "
%";
//publish to an SNS topic
PublishRequest publishRequest = new
PublishRequest(snsTopic, outputString);
PublishResult publishResult =
snsClient.publish(publishRequest);
return output.toString();
}
77. Recommendations
Rely on past data / context rather than defining 'rules'
Use Amazon Machine Learning for an easy start
Let real-time predictions drive reaction to patterns in
events
79. What Have We Built?
Amazon
Machine Learning
Amazon Kinesis
Amazon IoT
AWS Lambda
Amazon Kinesis
Firehose
Amazon
Redshift
Amazon
Elasticsearch
Service
AWS Lambda
80. Outlook: Where Do We Go From Here?
- Automated reactions to events: feeding back into the
system, i.e., enrich data based on correlated data,
predictions and past data, then react on predictions
- Complex Event Processing (CEP)
- Unsupervised learning…?
81. Related Sessions
MBL203 State of the Union – San Polo 3501B 11:00 AM
MBL203 Everything about AWS IoT – Venetian H 12:15 PM
MBL311 AWS IoT Security - Palazzo A 1:30 PM
MBL312 Rules and Shadow - Palazzo A 2:45 PM
MBL313 Devices SDK and Kits - Palazzo A 4:15 PM
MBL303 Mobile Devices and IoT - Delfino 4005 4:15 PM
MBL203 Devices in Motion - Delfino 4005 Friday 10:15 AM
MBL305 IoT Data and Analytics - Delfino 4005 Friday 11:30