If you're migrating an app to .NET 6, the breaking changes listed here might affect you. Changes are grouped by technology area, such as ASP.NET Core or Windows Forms. 

Where does a developer's responsibility begin and end when it comes to managing the success of a product? This question has been nagging me for the better part of a year now, and I hope that expressing my thoughts will help cement my thoughts on that particular issue. I've been fortunate enough to work in many environments with varying levels of product responsibility. 

Top 10 reasons to upgrade your angular application 

Old csproj to new csproj: Visual Studio 2017 upgrade guide 

Upgrade project from Angular 2.0 to Angular 4.0 

Here are some of the reasons why nullable reference types are less than ideal:

• Invoking a member on a null value will issue a System.NullReferenceException exception, and every invocation that results in a System.NullReferenceException in production code is a bug. Unfortunately, however, with nullable reference types we “fall in” to doing the wrong thing rather than the right thing. The “fall in” action is to invoke a reference type without checking for null.
• There’s an inconsistency between reference types and value types (following the introduction of Nullable<T>) in that value types are nullable when decorated with  “?” (for example, int? number); otherwise, they default to non-nullable. In contrast, reference types are nullable by default. This is “normal” to those of us who have been programming in C# for a long time, but if we could do it all over, we’d want the default for reference types to be non-nullable and the addition of a “?” to be an explicit way to allow nulls.
• It’s not possible to run static flow analysis to check all paths regarding whether a value will be null before dereferencing it, or not. Consider, for example, if there were unmanaged code invocations, multi-threading, or null assignment/­replacement based on runtime conditions. (Not to mention whether analysis would include checking of all library APIs that are invoked.)
• There’s no reasonable syntax to indicate that a reference type value of null is invalid for a particular declaration.
• There’s no way to decorate parameters to not allow null. 

Spark is an open source computing framework for Big Data, and it’s becoming increasingly popular, especially in machine learning scenarios. In this article I’ll describe how to install Spark on a machine running a Windows OS, and explain basic Spark functionality from a .NET developer’s point of view. 

• 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. 

OWASP dependency-check is a software composition analysis utility that detects publicly disclosed vulnerabilities in application dependencies.