Azure Storage Types
Azure Storage is a highly scalable, highly available, and highly durable cloud storage system provided by Microsoft Azure. It offers a range of storage options to meet the needs of different applications and workloads.
A Practical Approach
Azure Storage is a highly scalable, highly available, and highly durable cloud storage system provided by Microsoft Azure. It offers a range of storage options to meet the needs of different applications and workloads.
SOLID is an acronym that represents 5 principles of object-oriented software design. These principles were introduced by Robert Martin and are considered best practices for designing maintainable and scalable software systems.
What is OOPS and what is the advantage of OOP? OOP stands for “Object-Oriented Programming.” Remember, it’s OOP not OOPS,’S’
In the first article of the series we learned about the concepts, terminology, technologies involved, installing Jenkins, creating ASP.NET Core application and continuous integration of Asp.Net Core application using Jenkins via two approaches i.e. pipeline approach and freestyle project approach. In the second article, we published the ASP.Net core application to Azure App Service and Configured Jenkins on Azure. In the third article of the series, we focused on Azure Active Directory and Service Principal and how to integrate Jenkins with Azure Service Principal.
In this last article of learning CI and CD of Asp.NET Core application using Jenkins, we’ll learn the CI/CD of ASP.NET Core application on Azure using Jenkins Azure Pipeline.
In this article, we’ll focus on Azure Active Directory and Service Principal and integrate Jenkins with Azure Service Principal before we move on to CI/CD of ASP.NET Core application on Azure using Jenkins Azure Pipeline.
In the first article of the series we learned about the concepts, terminology, technologies involved, installing Jenkins, creating ASP.NET Core application and continuous integration of Asp.Net Core application using Jenkins via two approaches i.e. pipeline approach and free style project approach. In this article we’ll publish the ASP.Net core application to Azure App Service and Configure Jenkins on Azure before we move on to next steps.
This article series will explain using Jenkins for CI and CD of an ASP.NET Core web application on the local development environment, publishing the web application to Azure Web App Service and configuring Jenkins on Azure for continuous integration and continuous deployment of the hosted application. GitHub will DevOps as a source control repository. We’ll create a pipeline using Jenkins that fetches the code from GitHub, builds the code, runs the tests and deploy the package. This will be a repetitive task on each commit to the code located on GitHub.
The current competitiveness in the software development industry has put a high premium on companies needing to be flexible. Geared towards rapid delivery and continuous tractability, agile culture has taken over the project management space and increased the success rate of many software companies.
This article gives a walkthrough of Face classification application which performs face detection, identification, grouping and finding look alike faces.
In this section, we’ll focus on face identification and check the capabilities of Face API to identify the faces of the persons. In this section, we’ll see what all services we can write to perform face identification. We’ll test the services using Postman and in the next section, we’ll walk through a live face identification application.
In the last article on learning Azure Face API Cognitive service, we learned how to setup Azure account, create Face API on Azure portal and test the services created. In this article we’ll explore the Face API ADK and do some code. Please follow the first part before moving on to this one.
This article series is a complete end to end tutorial that will explain the concept of face recognition and face detection using modern AI based Azure cognitive service i.e. Azure’s Face API service.
Kubernetes not only benefits development team in application deployment but also is a boon for the DevOps team that helps in monitoring and error handling. Kubernetes offers a layer of abstraction where the DevOps do not have to worry about keeping an eye upon the individual applications rather they manage and supervise Kubernetes and other related infrastructure.