Posted by Bob Familiar On June 20, 2017
Business in Real-Time Using Azure IoT and Cortana Intelligence Suite
by Bob Familiar and Jeff Barnes
Every business today is going through a digital transformation due to disruptive forces in the market, from born-in-the-cloud competitors to the increasing demands of customers, partners and employees to engage through modern digital experiences. They are evolving from relying only on historical data to learning to use both historical and real-time data to drive innovation, evolve business strategy and automate critical business processes.
As businesses evolve and transform to take advantage of real-time data, they will drive impact through operational efficiencies as well as create new revenue opportunities. For example, a product manufacturer can gather information about how their products in remote locations are performing and automate the scheduling of field service engineers only as needed. Retail outlets can provide real-time inventory to drive an Omni-channel shopping experience for their customers. Companies that have a need to increase worker safety can track both environmental conditions such as temperature, humidity and wind speed along with employee biometrics such as heartrate, body temperature and breathing rate to be able to determine if an employee’s physical condition would create a worker safety issue.
In each of these scenarios, companies are finding that to stay competitive, improve operational efficiencies and engage their customers more deeply, they must learn to leverage modern software development patterns and practices. They are transforming to become Software-as-a-Service providers skilled in the dark arts of data science and Internet of Things(IoT). They are learning to create applications that connect people, places and things. They are providing real-time data visualization, alerts and notifications. They are integrating these connected products with existing line of business systems and providing seamless authentication for customers, partners and employees through immersive, beautiful experiences that work on any device and are available 24/7. They are transforming to become a Real-Time Business.
About this book
This book outlines a vision for how today’s businesses can transform themselves by leveraging real-time data and advanced machine learning analytics, evolving from reactive to proactive customer care using remote monitoring, real-time inventory, location awareness, predictive maintenance and rich data visualizations.
Business in Real-Time Using Azure IoT and Cortana Analytics provides prescriptive guidance for architects and developers on the design and development of modern Internet of Things (IoT) and Advanced Analytics solutions. In addition, this book offers patterns and practices for those looking to engage their customers and partners through Software-as-a-Service solutions that work on any device.
Whether you are working in Health & Life Sciences, Manufacturing, Retail, Smart Cities and Buildings or Process Control, there exists a common platform from which you can create your targeted vertical solutions. Using a reference architecture as a road map and building on Azure’s PaaS services, a solution architecture unfolds that demonstrates a complete end-to-end IoT and Advanced Analytics scenario.
What You’ll Learn
- How to design and develop IoT and Advanced Analytics solutions at scale using Azure’s Platform as a Service capabilities and a Microservice Architecture
- How to automate your software product life cycle using PowerShell, Azure Resource Manager Templates, and Visual Studio Team Services
- How to implement smart devices using Node.JS and C# and use Azure IoT Hub to securely connect devices, ingest telemetry and provide a complete Device Management lifecycle using Device Twins, Direct Methods and Command and Control messaging
- How to use Azure Streaming Analytics to ingest millions of events and provide both “Hot”, “Warm, and “Cold” path outputs for real-time alerts, data transformations, and aggregation analytics
- How to implement batch processing using Azure Data Factory and use Azure Data Lake to provide big data storage to support advanced analysis services
- How to leverage Machine Learning and Revolution R to predict what’s going to happen next creating a new form of AI – “Actionable Intelligence” to help shape positive outcomes for the business and drive mission critical business processes
- How to provide rich Data Visualizations across a wide variety of mobile and web devices with Power BI connecting “Actionable Intelligence” with push communications to mobile users for powerful alerting and notification capabilities
- How to design a secure end-to-end solution and support multi-tenant access to your big data repository using Azure AD
Posted by Bob Familiar On April 9, 2016
I released my book, Microservice, IoT and Azure, in October of 2015. Within 2 weeks, the Azure PowerShell code samples were out of date. This is a testament to the velocity at which Microsoft is updating both the services and the tools for Azure.
While the concepts in the book are still relevant, the code repository that I had released became out of date quickly. In order to rectify this situation, I recently created a new code repository that leverages the advancements in Azure PowerShell as well as showcases the patterns and practices for end-to-end IoT solutions that leverage IoT Hub.
The new code repository is located here on GitHub.
This content provides foundational knowledge in how to architect and implement an IoT solution using Windows 10 Core IoT hardware devices and Azure IoT Hub and Stream Analytics. Both Device to Cloud and Cloud to Device communication patterns are covered.
At the conclusion of going through the hands-on lab, you will have provisioned an Azure environment using PowerShell that contains Storage, Service Bus, DocumentDb, IoT Hub, Stream Analytics and API Management and a custom microservices for provisioning devices. You will also develop a Windows 10 Core IoT application that sends telemetry and receives incoming commands as well as develop a real-time dashboard that displays incoming telemetry and has the ability to send commands to the remote device. Device Provisioning, IoT Hub monitoring and techniques for applying dynamic business rules to real-time streams is covered.
In this article, I am going to highlight a few interesting Azure PowerShell and Azure Resource Manager techniques that I learned along the way while creating this content. Note that all the code snippets are drawn from the code repository here.
Posted by Bob Familiar On August 20, 2015
The Internet of Things is transforming business and entire industries as companies shift to creating products that are smart and connected. The IoT wave is here now – enabled by low cost hardware, pervasive connectivity and established cloud services to collapse implementation efforts.
Please join your peers and IoT thought leaders at this invitation-only half-day in-person event. BlueMetal’s IoT innovators will bring real-world experiences to discuss:
- Ingesting large volumes of device and sensor telemetry
- Leveraging the Azure IoT Suite to transform and stage telemetry for alerts, notifications, real-time status and big data analytics
- Adopting BI dashboards to identify trends, provide real-time predictive analysis and delivery enhancements
Register for Cambridge Event
Register for the New York Event
Register for the Chicago Event
Posted by Bob Familiar On January 5, 2015
This post is part one of a two part series that delves into an emerging approach to modern application architecture called Microservices where applications are composed of autonomous, independently deployed, scaled, and managed services. This approach to service architecture along with the benefits of cloud platforms provides the scalable, resilient, cross platform foundation necessary for Modern Applications. In part one I will provide an overview of Microservices along with the benefits, a logical architecture and deployment scenarios. In part two of the series I will detail the design and implementation of RefM, a Microservice that provides application reference data.
The software development landscape has changed dramatically over the past decade. Disruptive technologies and design approaches have introduced entirely new types of applications and methods for building them. As Mikhail Shir of BlueMetal writes ‘…The Modern Application is user centric. It enables users to interact with information and people anywhere on any device. It scales resiliently and adapts to its environment. It is designed, architected, and developed using modern frameworks, patterns and methodologies. It is beautiful in its user experience as well as its technical implementation…’ In conjunction with these new user experiences is the need to connect to and interact with a variety of online services that provide information and transactions in a scalable, resilient and cross platform way.
The concept of distributed services is not new. Since the early days of object oriented programming, the idea that one could provide ‘objects’ in a distributed network using RPC mechanisms and message queues along with location transparency has been the holy grail of software engineering. CORBA and DCOM were early attempts to provide a language and OS agnostic approach to distributed computing but not without the heavy burden of complexity.
The Internet revolution brought about the evolution, and in many ways the simplification, of distributed computing with the introduction of Web Service Protocols such as SOAP and REST. There has been much back and forth amongst the proponents of Service Oriented Architecture on which protocol should rule the day. Without rehashing those battles, suffice it to say that REST has become the primary choice today for defining API’s to cloud hosted services. The key to applying REST is to understand that its CRUD style of API design is not focused on the underlying physical store, i.e. the database, but on the resources that are being accessed. As such, it is a good choice for API design and keeps the overall approach simple and straightforward.
Another important factor that is impacting how we think about distributed computing today is the emergence of commercial cloud platforms such as Amazon’s AWS and Microsoft’s Azure. These platforms provide pay-as-you-go access to compute and storage as well as easy access to a suite of common application services such as SQL and No-SQL databases, in-memory cache and performance analytics as well as lend themselves to automating the development, test, staging and production environments providing the foundation for Continuous Delivery. Read More