in everyday tasks, such as boot time now nearly 30% faster than Windows 7 on the same device.
As usual, there are a boatload of new APIs coming in .NET 6. Most of these are driven by custom requests. Lets talk about some of them. #dotnet #aspnetcore
Build Better Apps with .NET Aspire - Complete Beginner's Guide & Tutorial
Let's start building better apps with .NET Aspire! Find out how adding .NET Aspire to your existing apps can help them be more observable, resilient, scalable, and manageable. All in just a few lines of code enable these features and at the same time boost developer productivity with features to help you build apps faster including orchestration and service discovery. It also gives you deep insight into your application with OpenTelemetry and a developer dashboard on your local development machine or in the cloud. We will also take a look at how to deploy your projects that use .NET Aspire and how it works under the hood. Finally, we will look at how to use some of these great features in non-.NET projects such as JavaScript and Python!
10x faster and 90% memory reduction compared to Microsoft's immutable collections
In summary, the most important issues here are:
- The Aggregate’s main task is to protect invariants (business rules, the boundary of immediate consistency)
- In a multi-threaded environment, when multiple threads are running simultaneously on the same Aggregate, a business rule may be broken
- A way to solve concurrency conflicts is to use Pessimistic or Optimistic concurrency techniques
- Pessimistic Concurrency involves the use of a database transaction and a locking mechanism. In this way, requests are processed one after the other, so basically concurrency is lost and it can lead to deadlocks.
- Optimistic Concurrency technique is based on versioning database records and checking whether the previously loaded version has not been changed by another thread.
- Entity Framework Core supports Optimistic Concurrency. Pessimistic Concurrency is not supported
- The Aggregate must always be treated and versioned as a single unit
- Domain events are an indicator, that state was changed so Aggregate version should be changed as well
public class AggregateRootBase : Entity, IAggregateRoot
{
private int _versionId;
public void IncreaseVersion()
{
_versionId++;
}
} internal sealed class OrderEntityTypeConfiguration : IEntityTypeConfiguration<Order>
{
public void Configure(EntityTypeBuilder<Order> builder)
{
builder.Property("_versionId").HasColumnName("VersionId").IsConcurrencyToken();
//...
}
} var order = await _ordersContext.Orders.FindAsync(orderId);
order.AddOrderLine(request.ProductCode);
var domainEvents = DomainEventsHelper.GetAllDomainEvents(order);
if (domainEvents.Any())
{
order.IncreaseVersion();
}
await _ordersContext.SaveChangesAsync();
The .NET Micro Framework team is pleased to announce the release of .NET Micro Framework 4.4. We fixed several long outstanding issues as well as improved the reliability of lwIP network stack and debugging experience through Visual Studio 2015.
Angular is used more heavily in India while React is heavy in Australia and Russia.
If you write copious amounts of CSS, a pre-processor can greatly decrease your stress levels and save you a lot of precious time. Using tools such as Sass, Less, Stylus or PostCSS makes large and complicated stylesheets clearer to understand and easier to maintain. Thanks to features like variables, functions and mixins the code becomes more organized, allowing developers to work quicker and make less mistakes.
What is concurrent programing? Simply described, it’s when you are doing more than one thing at the same time. Not to be confused with parallelism, concurrency is when multiple sequences of operations are run in overlapping periods of time. In the realm of programming, concurrency is a pretty complex subject. Dealing with constructs such as threads and locks and avoiding issues like race conditions and deadlocks can be quite cumbersome, making concurrent programs difficult to write. Through concurrency, programs can be designed as independent processes working together in a specific composition. Such a structure may or may not be made parallel; however, achieving such a structure in your program offers numerous advantages.
.NET Serialization Benchmark 2019 Roundup
