Event Grid Unplugged - Using events as the fuel powering your applications

Architecting IoT solutions with Microsoft Azure

Building a website without a webserver on Azure

JamStack is a popular modern architecture for creating web apps apps using JavaScript, APIs, and prerendered markup all delivered without web servers. The end result is fast, dynamic and more secure web sites that can cost significantly less than traditional approaches. In this session I’ll share how I build retrodevops.com using the JamStack architecture, Hugo and Azure as well as lessons learned along the way.

Azure Compute, Networking and Storage Overview

Azure Riyadh User Group

Azure Infrastructure Services provides compute, network, and storage services on Microsoft's Azure cloud platform. The presentation discusses how IT infrastructure supports business objectives, outlines various Azure services including virtual machines, networking, storage and identity/access management, and demonstrates how to migrate applications to Azure through strategies like lift and shift or refactoring for the cloud. It also compares Azure services to analogous offerings on AWS.

Azure with citrix by bipeen sinha

Bipeen Sinha

Citrix VDA with Azure Cloud provides a cost-effective way to deliver Windows applications and desktops from the cloud using Citrix Virtual Apps and Desktops (VDA). Key benefits include pay-as-you-go pricing, simplified management, security and compliance built into Azure, and an optimized user experience. Setting up VDA with Azure involves prepping the Azure infrastructure, installing controller software, configuring networking and security, creating a golden OS image, and then delivering desktops and apps to users through Citrix.

BRK2122 IOT - From the cloud to the edge

Axel Dittmann

This document discusses innovations in cloud, IoT, edge computing, and AI. It highlights features of Azure like 42 regions, security programs, and partnerships. It outlines Azure IoT services for device connectivity, data analytics, and visualization. Diagrams show the Azure IoT reference architecture and how IoT Edge extends cloud intelligence to edge devices. The document also summarizes IoT device lifecycles, the device provisioning service, device management with device twins, and solutions like IoT Central and the connected factory.

Microsoft CSP(Cloud Solution Provider) 한컴MDS에서 Azure IoT를 소개합니다. 1. Azure IoT Overview 2. SaaS - Azure IoT Central 3. PaaS - Azure IoT Solutions Accelerator - Azure IoT Components 4. Azure IoT Edge 5. Case Study - 화재 감지 모니터링 - Kiosk 상태 모니터링 및 디바이스 관리 - 여객/화물/물료 업계 대상 PoC - 환자정보 모니터링 PoC - 문의: 한컴MDS ES사업부 essupport@hancommds.com

Azure Internet of Things

The document describes building an Azure IoT controlled device using a WeMos D1 Mini and relay shield to create a flood detection device. It discusses connecting the device to Azure IoT Hub using the C SDK and setting up logic in Azure functions and Logic Apps to send alert emails and SMS messages when flooding is detected. It also provides an overview of Azure IoT Hub capabilities including device twins, direct methods, and protocols.

The Internet of your things by Jan Tielens

ITProceed

The Internet of Things can make a difference to a business right now, but it can also pose challenges since it can seem overwhelming, complicated and expensive. In this session we’ll demystify IoT and go over the building blocks of a typical IoT solution. We’ll focus on the work that Microsoft has been doing both on the services side with the IoT Suite in Azure; as on the devices side with Windows 10 IoT Core on for example the Raspberry Pi.

Azure operational insights

Ilyas F ☁☁☁

Azure Operational Insights is a Cloud based machine data collection, storage, analysis service fully managed and serviced by microsoft. Operational Insights uses data from servers in your on-premise or cloud infrastructure. You can collect machine data from the following sources: Operations Manager agents Computers connected directly to Operational Insights Virtual machine diagnostic data in Azure Storage services After data is collected, it is sent to the Operational Insights service.

The Microsoft AI platform: a State of the Union

Join Joseph Sirosh, Corporate Vice President of the Cloud AI Platform, for a deep dive into the AI platform and exciting AI use cases. Joseph will showcase how every developer can infuse intelligence into their applications and create amazing new experiences with AI. In this exciting overview, you will learn about the application of AI technologies in the cloud. We will help you understand how to add pre-built AI capabilities like object detection, face understanding, translation and speech to applications. We will show how developers can build Cognitive Search applications that understand deep content in images, text and other data. We will also show how the platform can be used to build your own custom AI models for predictive applications and how to use the Azure platform to accelerate machine learning. Joseph will also show how companies assemble end-to-end systems of intelligence using the rich variety of data and application development services on Azure.

Using Azure, AI and IoT to find out if the person next to you is a Cylon

n this demo heavy session we will see how developers can combine Azure’s custom cognitive services and IoT Edge technologies to productionise AI models to the edge on something as small as a Raspberry Pi. In the past, machine learning at the edge required powerful and expensive machines known as “heavy edge” but are limited by continuous power supplies and direct connectivity to all sensors, making deployments constrained and expensive. By leveraging the computing power of Azure and easy to use services we will see how this is now in the reach of any developer. The session will cover: · Training Custom Cognitive AI in Azure · Deployment options for your shiny new AI · Using IoT Edge to deploy AI · Rubbing a little DevOps on it

3 Easy Steps to Building Large-Scale IoT Architectures

You have already started connecting your devices to AWS IoT. You can control them from the cloud. And you can collect, store and analyse data from all your devices in the cloud. So far so good, but you now need to build an architecture that will serve millions of users and devices concurrently. In this session, Jan will explain how you can build a real world IoT architecture that serves millions of devices. The talk will focus on user and device onboarding, device and user access management, message exchange and end user access to live and historical data stored in the cloud. Learning objectives: - Learn simple steps to build a real-world IoT architecture that serves millions of devices - Understand how to onboard and manage users and IoT devices and to access live and historial data in the cloud

IoT & Azure, the field of possibilities

Alex Danvy

Azure Administrator

Viknaraj Manogararajah

This document provides information about becoming an Azure administrator, including an overview of cloud computing and Microsoft Azure certifications. It discusses what cloud computing is, the benefits of cloud computing, Azure regions and datacenters, types of cloud services like SaaS, PaaS and IaaS, and how to upload data to the cloud using Azure Data Box. The document aims to help readers understand cloud concepts and get recognized with new role-based Azure certifications.

Microsoft azure

Mohammad Ilyas Malik

Azure was announced in October 2008 and released on 1 February 2010 as Windows Azure, before being renamed to Microsoft Azure on 25 March 2014. Along with Amazon Web Services Azure is considered a leader in the IAAS field. Microsoft Azure is an open and flexible cloud platform that enables you to quickly build, deploy, and manage applications across a global network of Microsoft-managed datacenters. You can build applications using any language, tool, or framework. And you can integrate your public cloud applications with your existing IT environment. This definition tells us that Microsoft Azure is a cloud platform, which means you can use it for running your business applications, services, and workloads in the cloud. But it also includes some key words that tell us even more: Open Microsoft Azure provides a set of cloud services that allow you to build and deploy cloud-based applications using almost any programming language, framework, or tool. Flexible Microsoft Azure provides a wide range of cloud services that can let you do everything from hosting your company’s website to running big SQL databases in the cloud. It also includes different features that can help deliver high performance and low latency for cloud-based applications. Microsoft-managed Microsoft Azure services are currently hosted in several datacenters spread across the United States, Europe, and Asia. These datacenters are managed by Microsoft and provide expert global support on a 24x7x365 basis. Compatible Cloud applications running on Microsoft Azure can easily be integrated with on-premises IT environments that utilize the Microsoft Windows Server platform. It provides both PAAS and IAAS services and supports many different programming languages, tools and frameworks, including both Microsoft-specific and third-party software and systems.

Architecting io t solutions with microisoft azure ignite tour version

As a cloud architect one must be familiar with the pets vs cattle metaphor (Randy Bias & Bill Baker) – in the cloud, a VM is just another expandable resource! However, an IoT system may have to manage a huge number of devices, each one of them has a unique identity and a unique role. This is where the Pets vs Cattle metaphor fails – we need to handle pets in a cloud scale. This lecture explains the complexity of the IoT problem domain and shows Azure SaaS and PaaS solution approaches: The Azure IoT Central and Azure IoT solution accelerators. We will be introduced to the Azure Device Provisioning Service (DPS) and see how it provides a scale approach to secure provisioning new IoT devices. We will explore the Azure IoT Hub and see its functional features and non-functional quality attributes such as security, scale, high-availability and health monitoring. We will conclude the lecture with the future of IoT: "Smart Cloud and Intelligent edge" by presenting the Azure IoT Edge and Azure IoT Digital Twin.

Deep Dive on Edge Computing

by Gavin Adams, IoT Specialist Solutions Architect AWS and Anton Shmagin, Partner Solutions Architect 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.

Microsoft Azure Cloud Services

David J Rosenthal

Microsoft Azure is an ever-expanding set of cloud services to help your organization meet your business challenges. It’s the freedom to build, manage, and deploy applications on a massive, global network using your favorite tools and frameworks. Productive Reduce time to market, by delivering features faster with over 100 end-to-end services. Hybrid Develop and deploy where you want, with the only consistent hybrid cloud on the market. Extend Azure on-premises with Azure Stack. Intelligent Create intelligent apps using powerful data and artificial intelligence services. Trusted Join startups, governments, and 90 percent of Fortune 500 businesses who run on the Microsoft Cloud today.

AI @ Microsoft, How we do it and how you can too!

Building IoT solutions using Windows 10 IoT Core & Azure

Mostafa

Azure IPaaS: Integration Evolved! (Glenn Colpaert @TechdaysNL 2017)

Codit

Integration has traditionally been all about ESB’s, EAI and B2B and the exchange of messages between on-premises systems. Today, many companies wish to integrate beyond their firewall, typically with SaaS based application. This change is reflected in the up rise of API based integration using lightweight protocols. In this session Glenn will talk about the evolution of Enterprise Integration and give you an overview on the current state of the Azure Integration Platform. Dive into its architecture and learn all about Logic Apps and the Enterprise Integration Pack. Learn to create basic IFTT (If This Then That) scenarios, or think big and create enterprise-level, hybrid integration scenarios (using Logic Apps and on premises LOB apps). 'How does it work', 'How is it Made' and 'How does it all fit together’ are just a couple of questions that will be answered during this session.

Azure Arc by K.Narisorn // Azure Multi-Cloud

Kumton Suttiraksiri

Azure Arc is a set of technologies that extends Azure management and services to infrastructure located on-premises, in multiple clouds, and at the edge. It allows users to organize and govern assets, deploy and manage Kubernetes applications at scale across environments, and deploy and manage data services anywhere while maintaining centralized security and governance from Azure. Key benefits include a unified view of assets, configuration and deployment using infrastructure as code, automated updates and patching, elastic scaling on-premises, and consistent security across locations.

Iot cloud service v2.0

Vinod Wilson

The document discusses transitioning from a monolithic architecture to microservices architecture for an IoT cloud platform. Some key points include: - The goals of enabling scalability, supporting new markets, and innovation. - Moving to a microservices architecture can help with scalability, fault tolerance, and independent deployability compared to a monolith. - Organizational structure should also transition from function-based to product-based to align with the architecture. - Technical considerations in building microservices include service interfaces, data management, fault tolerance, and DevOps practices.

Inflight to Insights: Real-time Insights with Event Hubs, Stream Analytics an...

This document provides an overview of real-time analytics capabilities using Azure Event Hubs, Stream Analytics, and Power BI. It shows how streaming data from IoT devices and other sources can be ingested using Event Hubs, processed with Stream Analytics queries, and visualized in Power BI. It also includes pricing information for Stream Analytics and references additional documentation and support resources for these Azure services.

FS-ISAC 2017 Amazon Web Services & Cloud Security

AWS provides enterprises numerous ways to migrate to the cloud, based on your business needs. Because AWS was built with the most data-sensitive, regulated industries in mind, enterprises have access to the most robust networking and security controls to safeguard a protected and seamless migration. In this session, AWS security professionals provide an overview of what security essentials you need to consider when migrating to the cloud. We will also provide a compliance update on what you need to consider in relation to regulatory issues.

Deep Dive on Amazon Elastic Container Service (ECS) I AWS Dev Day 2018

AWS Germany

Containers are an increasingly important way for developers to package and deploy their applications and AWS offers multiple container products to help you deploy, manage, and scale containers in production. In this session we dive deep into Amazon Elastic Container Service (Amazon ECS), a highly scalable, high-performance container orchestration service that supports Docker containers and allows you to easily run and scale containerized applications on AWS. We walk you through a number of patterns and tools used by our customers to run their applications on Amazon ECS. We show you how to set up, manage and scale your Amazon ECS resources, keep them secure and deploy your applications to an Amazon ECS cluster. We also provide best practices for monitoring, logging and service discovery.

Get Started with Deep Learning and Computer Vision Using AWS DeepLens (AIM316...

What's hot

한컴MDS_Microsoft Azure IoT Overview

HANCOM MDS

Azure Internet of Things

The Internet of your things by Jan Tielens

ITProceed

Azure operational insights

Ilyas F ☁☁☁

The Microsoft AI platform: a State of the Union

Using Azure, AI and IoT to find out if the person next to you is a Cylon

3 Easy Steps to Building Large-Scale IoT Architectures

IoT & Azure, the field of possibilities

Alex Danvy

Azure Administrator

Viknaraj Manogararajah

Microsoft azure

Mohammad Ilyas Malik

Architecting io t solutions with microisoft azure ignite tour version

Deep Dive on Edge Computing

Microsoft Azure Cloud Services

David J Rosenthal

AI @ Microsoft, How we do it and how you can too!

Building IoT solutions using Windows 10 IoT Core & Azure

Mostafa

Azure IPaaS: Integration Evolved! (Glenn Colpaert @TechdaysNL 2017)

Codit

Azure Arc by K.Narisorn // Azure Multi-Cloud

Kumton Suttiraksiri

Iot cloud service v2.0

Vinod Wilson

Inflight to Insights: Real-time Insights with Event Hubs, Stream Analytics an...

FS-ISAC 2017 Amazon Web Services & Cloud Security

What's hot (20)

한컴MDS_Microsoft Azure IoT Overview

Azure Internet of Things

The Internet of your things by Jan Tielens

Azure operational insights

The Microsoft AI platform: a State of the Union

Using Azure, AI and IoT to find out if the person next to you is a Cylon

3 Easy Steps to Building Large-Scale IoT Architectures

IoT & Azure, the field of possibilities

Azure Administrator

Microsoft azure

Architecting io t solutions with microisoft azure ignite tour version

Deep Dive on Edge Computing

Microsoft Azure Cloud Services

AI @ Microsoft, How we do it and how you can too!

Building IoT solutions using Windows 10 IoT Core & Azure

Azure IPaaS: Integration Evolved! (Glenn Colpaert @TechdaysNL 2017)

Azure Arc by K.Narisorn // Azure Multi-Cloud

Iot cloud service v2.0

Inflight to Insights: Real-time Insights with Event Hubs, Stream Analytics an...

FS-ISAC 2017 Amazon Web Services & Cloud Security

Similar to Event Grid Unplugged - Using events as the fuel powering your applications

Deep Dive on Amazon Elastic Container Service (ECS) I AWS Dev Day 2018

AWS Germany

Get Started with Deep Learning and Computer Vision Using AWS DeepLens (AIM316...

Webstroge

sidneyodingo

Data Lake Patterns for Voice, Vision, Advanced Analytics, & ML Using Serverle...

Industry 4.0 demands greater insight into data to bring people, processes, and equipment together. In this workshop, we illustrate how to gain business insights from video and voice data sources, highlighting the data pipeline. We ingest source feeds, efficiently store the data, and perform advanced analytics using AWS ML services and analysis tools. Typical applications include anomaly detection (detecting spills or hazardous objects and predictive maintenance) and voice sentiment analysis (customer service insights). By the end of the session, you will be able to quickly analyze data for uncommon characteristics using those detections to initiate a wide variety of actions.

Building Serverless ETL Pipelines

The document discusses building serverless ETL pipelines with AWS Glue. It begins with an introduction to AWS Glue and its components. The presenter then demonstrates constructing an ETL flow in four steps: 1) crawling and cataloging data, 2) specifying mappings to generate scripts, 3) interactively editing and exploring with development endpoints, and 4) scheduling jobs for production. The document also covers customizing AWS Glue scripts, including using dynamic frames and job bookmarks. It concludes with a demo of these AWS Glue features.

Augmenting Security Posture and Improving Operational Health with AWS CloudTr...

Enabling AWS CloudTrail for auditing purposes is often a corporate mandate, but do you know how to use CloudTrail events to improve your security and operational posture? Come learn how CloudTrail can help improve your operational monitoring and troubleshooting, security analysis, and compliance auditing processes. Discover best practices for setting up and using CloudTrail; explore use cases for data mining CloudTrail event data; learn how to set up alerts based on activity in your account; and learn about advanced use cases. Also learn how to implement data plane governance autoEnabling AWS CloudTrail for auditing purposes is often a corporate mandate, but do you know how to use CloudTrail events to improve your security and operational posture? Come learn how CloudTrail can help improve your operational monitoring and troubleshooting, security analysis, and compliance auditing processes. Discover best practices for setting up and using CloudTrail; explore use cases for data mining CloudTrail event data; learn how to set up alerts based on activity in your account; and learn about advanced use cases. Also learn how to implement data plane governance automation using data events from Amazon S3 and AWS Lambda. mation using data events from Amazon S3 and AWS Lambda.

Using AWS to Ingest, Store, Archive, Share and carry out Analysis of Video Co...

This document discusses using AWS services for ingesting, storing, sharing, and analyzing video content. It describes how to stream live video from millions of devices using Amazon Kinesis Video Streams and then analyze the video using Amazon Rekognition. It also provides an example of building a system to detect faces on video streams from cameras using DeepLens and storing the results in databases like DynamoDB for further processing.

Amazon GuardDuty - Let's Attack My Account! - AWS Online Tech Talks

Monitoring IoT Device Behavior with AWS IoT Device Defender Detect (IOT360) -...

Introduction to Scalable Deep Learning on AWS with Apache MXNet

The document provides an overview of Apache MXNet, a flexible and scalable deep learning framework. It discusses MXNet's architecture, programming model, and ecosystem. It also describes how to perform distributed training with MXNet on AWS using services like Amazon SageMaker and the Deep Learning AMI. Case studies are presented showing how companies use MXNet for applications like autonomous vehicles, cybersecurity, and e-commerce.

Operations for Containerized Applications (CON334-R1) - AWS re:Invent 2018

This document discusses operations for containerized applications on AWS. It covers topics like automation of deployments and scaling, security, observability, and minimizing operational overhead. The session will take place on November 26th and 27th. It promotes automating operations using the native AWS container stack with services like ECS, ECR, and Fargate or an open source stack with tools like Kubernetes, Terraform and Jenkins. It provides examples of configuring networking, IAM, logging, monitoring and automated scaling of containerized applications on AWS.

[NEW LAUNCH!] Introduction to AWS Security Hub (SEC397) - AWS re:Invent 2018

Build Machine Learning Solutions on Data Lakes (ARC321) - AWS re:Invent 2018

Advanced Container Security - AWS Summit Sydney 2018

Infocyte - Digital Forensics and Incident Response (DFIR) Training Session

Infocyte

Join Infocyte co-founder and Chief Product Officer, Chris Gerritz, for a two-hour digital forensics and incident response (DFIR) training session. During this presentation, Chris shows participants how to set up Infocyte's managed detection and response (MDR) platform and how to leverage Infocyte to detect, investigate, isolate, and eliminate sophisticated cyber threats. Additionally, Infocyte helps enterprise cyber security teams eliminate hidden IT risks, improve security hygiene, maintain compliance, and streamline security operations—including improving the capabilities of existing endpoint security tools. Using Infocyte's new extensions, participants are encouraged to custom create their own collection (detection and analysis) and action (incident response) extensions.

Container Security

IoT at Scale: Monitor and Manage Devices with AWS IoT Device Management (IOT3...