Automated Software Testing Series - Visual Studio Toolbox
12 videos
Welcome to the 12-part series on automated software testing, where you will learn how to increase the efficiency and ROI of your software testing. We cover unit testing, behavior style testing, mocking, integration testing and more. 

Here’s a summary of what’s new in this preview release:

• Improved ASP.NET Core debugging experience
• Servers & middleware
  • IHttpSysRequestTimingFeature
  • SNI hostname in ITlsHandshakeFeature
  • IExceptionHandler
• Blazor
  • New Blazor Web App project template
  • Blazor router integration with endpoint routing
  • Enable interactivity for individual components with Blazor Server
  • Improved packaging of Webcil files
  • Blazor Content Security Policy (CSP) compatibility
• API authoring
  • Support for generic attributes
• SignalR
  • SignalR seamless reconnect
• Native AOT
  • Support for AsParameters and automatic metadata generation in compile-timed generated minimal APIs
• Authentication and authorization
  • Authentication updates in ASP.NET Core SPA templates
  • New analyzer for recommended AuthorizationBuilder usage
   

Stop writing your changelogs manually

How do you usually keep track of the changes in your projects? Do you use GitHub releases? Do you update your changelogs manually? In this article, I will explain how I handle this topic. This is just one way of doing it, feel free to stick around if you are interested in the topic 🔥

With Meta Tags you can edit and experiment with your content then preview how your webpage will look on Google, Facebook, Twitter and more! 

 …or push an existing repository from the command line
git remote add origin https://github.com/VahidN/test-vscode.git
git push -u origin master

 git remote add origin https://github.com/VahidN/test-vscode.git

 git pull origin master --allow-unrelated-histories

 git branch --set-upstream-to=origin/master master

ARMOR is designed to work seamlessly with your current authentication mechanism to protect your application from CSRF attacks. 

• Linux support for tier-1, mission-critical workloads – SQL Server 2017 support for Linux includes the same high availability solutions on Linux as Windows Server, including Always On availability groups integrated with Linux native clustering solutions like Pacemaker.
• Graph data processing in SQL Server – With the graph data features available in SQL Server 2017and Azure SQL Database, customers can create nodes and edges, and discover complex and many-to-many relationships.
• Adaptive query processing – Adaptive query processing is a family of features in SQL Server 2017 that automatically keeps database queries running as efficiently as possible without requiring additional tuning from database administrators. In addition to the capability to adjust batch mode memory grants, the feature set includes batch mode adaptive joins and interleaved execution capabilities.
• Python integration for advanced analytics – Microsoft Machine Learning Services now brings you the ability to run in-database analytics using Python or R in a parallelized and scalable way. The ability to run advanced analytics in your operational store without ETL means faster time to insights for customers while easy deployment and rich extensibility make it fast to get up and running on the right model.