Integration Tests in Azure Pipelines with ASP.Net Core and SQL on Docker
Apr 17, 2019 · 6 min read
I usually like to keep my application dependencies such as the database, and emulators packaged in containers. Running the dependencies in containers gives me the ability to keep my development process fluid as I can bring up the dependencies to the desired state no matter how massively I deform them. In my CI pipelines, I enforce the execution of unit tests and integration tests on every build. Usually, running integration tests involve running test cases along with the dependency, which is a database most of the time.
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Count Online Users with Azure SignalR Service
Aug 01, 2018 · 5 min read
September 28, 2020: I have updated the code sample to .NET Core 3.1 and updated the article to reflect the changes as well. Enjoy! I have been following Dino Esposito’s SignalR series from the last few MSDN Magazine editions. In the May edition of the Magazine, Dino talked about the subtle details of ASP.Net Core SignalR. It is an excellent read, and it covers the topic in a much better and concise manner than I will ever be able to describe.
Add DevOps To Your Existing Dockerized Applications With Azure DevOps Projects
Jul 26, 2018 · 6 min read
As a cloud developer, the current offering to add support for DevOps (CI\CD) to an a. In VSTS, tasks such as creating CI and CD workflows, linking the pipelines with code repository, and adding monitoring take a little time even though the quick start templates have considerably optimized the process. A new offering from Azure named Microsoft Azure DevOps Projects fills this gap in the DevOps offering. Using Azure DevOps Projects, you can:
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Delivering IoT Mixed Reality Applications using The MSF Process Model (Develop, Stabilize, and Deploy) – Part 3
Jul 14, 2018 · 12 min read
In this series Envision and Plan Develop and Stabilize Develop, Stabilize, and Deploy This is the final article in this series of building MR IoT applications using the MSF Process Model. If you have landed on this post directly, I recommend that you go through the previous posts. Part 1: An overview of the MSF and the Envisioning and Planning phases of delivering the solution. Part 2: The development and deployment of the backend of the solution.
Delivering IoT Mixed Reality Applications using The MSF Process Model (Develop and Stabilize) – Part 2
Jul 03, 2018 · 8 min read
In this series Envision and Plan Develop and Stabilize Develop, Stabilize, and Deploy In the previous article, we went through the Envisioning and Planning phases for delivering a Mixed Reality IoT application. In this article, we will start building the components of the architecture that we developed in the previous phase. Since we have a clear objective with all the plans laid out, let’s kick off the development phase.
Delivering IoT Mixed Reality Applications using The MSF Process Model (Envision and Plan) – Part 1
Jun 24, 2018 · 15 min read
In this series Envision and Plan Develop and Stabilize Develop, Stabilize, and Deploy Delivery of enterprise scale projects requires a cohesive and structured framework in place. A robust delivery framework ensures that projects are carefully planned, and roles and tasks are identified and defined. Microsoft has developed a set of principles, models, disciplines, concepts, and guidelines for delivering information technology services known as Microsoft Solutions Framework (MSF).
Building Zero Code Cosmos DB Proxy with Azure Functions
May 09, 2018 · 7 min read
Using Azure Functions, you can free your projects from Cosmos DB API dependency. In this article, we will build a simple API using Azure Functions that interacts with Cosmos DB without requiring you to write any code. You have multiple options for building Azure Functions. You can write functions using Visual Studio tooling, or you can build one using VS Code with Azure CLI. However, for this demo, I will use the Azure Portal inbuilt function editor.
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Building Applications with Azure IoT Edge
Apr 25, 2018 · 13 min read
I recently presented a session on building applications with Azure IoT Edge at the Global Azure Bootcamp, Sydney. In the field of IoT, edge analytics is not just important; it is a necessity. Azure IoT Edge solves a lot of edge analytics challenges in a unique manner that many organizations face. Azure IoT Edge brings the power of essential cloud services from the cloud to your on-premise devices. You can deploy either Azure service logic or your code to devices from the cloud interface without physically accessing the device.
Building and Testing Reactive Microservices in Azure with Event Grid, Azure Functions, and Ngrok
Apr 12, 2018 · 10 min read
According to the Reactive Manifesto, a reactive system should have some essential characteristics which include: responsiveness, resiliency, elasticity, and being message-driven. Out of all the aspects, the most significant differentiating factor of Reactive Microservices from others is its characteristic of being message-driven. Using messages as the glue that holds your Microservices application together, you can design systems that isolated. High degree of isolation also helps enhance the scalability of a system which is an essential aspect of a Microservices application.
Visualize Performance of Your Bots With The Ibex Dashboard
Feb 12, 2018 · 4 min read
I recently finished building a bot using the Microsoft Bot Framework for a major client. One of the standard requirement of the clients that develop Bot applications is to have bot-specific monitoring in place. Managing the bot that you have built involves adding monitoring and management capabilities to it. Adding monitoring and management aspects to your bot ensures that your bot implementation will be successful in the long run. There are three services supported by the Bot Framework to bake monitoring and management capabilities in your bot.
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