Software Engineering – The Undocumented API

Tag: Software Engineering

Video: Microservices, IoT and Azure

I recently recorded a session for the Collab365 virtual conference that is an overview of my recently released book, Microservices, IoT and Azure. The book provides practical guidance for adopting a high velocity, continuous delivery process to create reliable, scalable, Software-as-a-Service (SaaS) solutions that are designed and built using a microservice architecture, deployed to the Azure cloud, and managed through automation. Microservices, IoT, and Azure offers software developers, architects, and operations engineers’ step-by-step directions for building SaaS applications—applications that are available 24×7, work on any device, scale elastically, and are resilient to change–through code, script, exercises, and a working reference implementation.

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A working definition of microservices is provided and I contrast this approach with traditional monolithic Layered Architecture. A fictitious, home-biomedical startup is used to demonstrate microservice architecture and automation capabilities for cross-cutting and business services as well as connected device scenarios for Internet of Things (IoT). Several Azure PaaS services are detailed including Storage, SQL Database, DocumentDb, Redis Cache, Cloud Services, Web API’s, API Management, IoT Hub, IoT Suite, Event Hub, and Stream Analytics. Finally the book looks to the future and examines Service Fabric to see how microservices are becoming the de facto approach to building reliable software in the cloud.

The video combines presentation with live demos that will give you insight into the concepts laid out in the book and the reference implementation that is used to demonstrate those concepts.

You will learn :

  1. Why is microservice architecture a compelling pattern for cloud-native applications
  2. What are microservices and how do they compare to traditional monolithic layered architecture
  3. How microservices are used in Internet of Things (IoT) and Big Data Analytics solutions
  4. How to use PowerShell to automate microservice development, test, staging and deployment

Microservices, IoT, and Azure: Leveraging DevOps and Microservice Architecture to deliver SaaS Solutions is on sale now!

Click to reserve your copy today!

RefM – A Microservice Case Study

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Introduction

Microservice Architecture is an emerging approach to modern application architecture 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.

This post takes the logical architecture defined in my previous post Modern Apps and Microservices and applies it to the design and implementation of a Microservice called RefM. RefM provides a common utility needed by nearly all applications, reference data.

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Modern Apps and Microservices

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Introduction

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 DeliveryRead More

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