In this article we are going to discuss how to insert, update and delete data into database using ASP.NET MVC 4.0. There is a Layout page and Data base script that we are going to use for this but we are not going to discuss much  how to create a Layout page and database script here in detail. 

When designing web APIs, it's important to think about how the data being passed to and from the endpoint will be structured. How important is reuse in these considerations, and how much reuse can you get away with before it starts causing other problems? 

How do you go about transferring a disk-based workload to the respective memory-optimized design? How do you process memory-optimized tables? How important for performance are natively-compiled Stored Procedures? Artemakis Artemiou comes up with a step-by-step guide to implementing an in-memory OLTP solution .  

public IActionResult Get()
{
    var userData = new User
    {
        Name = "Farhad",
        Family = "Zamani"
    };

    _logger.LogInformation($"ValuesController called. Name:{userData.Name}, Family:{userData.Family}");

    return Ok();
}

اگر بخواهیم مرتب سازی و یا فیلتری را بر روی Name و یا Family انجام دهیم، کار آسانی نخواهد بود و وقت‌گیر خواهد بود؛ زیرا باید با یک فیلد رشته ( message )، که تمامی لاگ درون آن قرار دارد، کار کنیم. اما با استفاده از قابلیت Structured Logging مربوط به Serilog، می‌توانیم آبجکت userData را به ILogger پاس دهیم و پراپرتی‌های آن را به صورت فیلدهای جدا نمایش دهیم. 

برای این کار باید آبجکت موردنظر خود را درون {} قرار دهیم و قبل از نام متغییر آن یک @ قرار دهیم. بدین صورت: {userData@}  و سپس دیتای موردنظر را در پارامتر دوم logger قرار دهیم.

_logger.LogInformation("ValuesController called. {@userData}", userData);

 اگر کد نوشته شده مربوط به ثبت لاگ را به صورت زیر اصلاح کنیم:

public IActionResult Get()
{
    var userData = new User
    {
        Name = "Farhad",
        Family = "Zamani"
    };

    _logger.LogInformation("ValuesController called. {@userData}", userData);

    return Ok();
}

در پنل کیبانا به راحتی می‌توان عملیات مرتب سازی و یا فیلتر را بر روی پراپرتی‌های Name و Family انجام دهیم. اکنون اگر پنل کیبانا را تماشا کنید چنین لاگی را مشاهده می‌کنیم:

هرکدام از پراپرتی‌های userData به صورت یک فیلد جدا ارسال شده‌است که به راحتی می‌توانید مرتب سازی، فیلتر و... را بر روی هرکدام از فیلدها انجام دهید.

تنظیمات مربوط به Serilog:

public static void Main(string[] args)
{
    var configuration = new ConfigurationBuilder()
        .AddJsonFile("appsettings.json", optional: false, reloadOnChange: true)
        .Build();

    Log.Logger = new LoggerConfiguration()
        .Enrich.FromLogContext()
        .Enrich.WithMachineName()
        .Filter.ByExcluding(Matching.FromSource("Serilog"))
        .Filter.ByExcluding(Matching.FromSource("System.Net.Http"))
        .Filter.ByExcluding(Matching.FromSource("Microsoft.AspNetCore"))
        .WriteTo.Console()
        .ReadFrom.Configuration(configuration)
        .CreateLogger();

    CreateHostBuilder(args).Build().Run();
}

public static IHostBuilder CreateHostBuilder(string[] args) =>
    Host.CreateDefaultBuilder(args)
        .UseSerilog()
        .ConfigureWebHostDefaults(webBuilder =>
        {
            webBuilder.UseStartup<Startup>();
        });

فایل appsettings.json:

{
  "Logging": {
    "LogLevel": {
      "Default": "Information",
      "Microsoft": "Warning",
      "Microsoft.Hosting.Lifetime": "Information"
    }
  },
  "AllowedHosts": "*",
  "Serilog": {
    "WriteTo": [
      {
        "Name": "Elasticsearch",
        "Args": {
          "nodeUris": "http://127.0.0.1:9200;",
          "indexFormat": "structuredlogging-{0:yyyy.MM}",
          "templateName": "structuredlogging"
        }
      }
    ]
  }
}

فایل docker-compose برای اجرای Elasticsearch  و Kibana:

version: '3'
services:
  elasticsearch:
    container_name: elasticsearch
    image: elasticsearch:7.14.2
    environment:
      - discovery.type=single-node
    ports:
      - 9200:9200
      - 9300:9300
      - 8200:8200

  kibana:
    container_name: kibana
    image: kibana:7.14.2
    ports:
      - 5601:5601

منابع استفاده شده:

• https://serilog.net
  
• https://code-maze.com/structured-logging-in-asp-net-core-with-serilog
  

I was pleasantly surprised by how easy it was to setup and install ASP.NET Core 2.1 on Linux. I did it for the first time in 15 minutes with no previous experience with .NET Core on Linux. I did it the second time, in production, in 5 minutes by following these instructions.

In this article, I show you how to install the .NET Core runtime on CentOS, how to get a sample ASP.NET Core project running on Kestrel as a service for reliability, and how to configure both the code and the firewall to enable remote access. Finally, I discuss what I would do differently for actual production usage. 

ChatGPT is bullshit

Recently, there has been considerable interest in large language models: machine learning systems which produce human-like text and dialogue. Applications of these systems have been plagued by persistent inaccuracies in their output; these are often called “AI hallucinations”. We argue that these falsehoods, and the overall activity of large language models, is better understood as bullshit in the sense explored by Frankfurt (On Bullshit, Princeton, 2005): the models are in an important way indifferent to the truth of their outputs. We distinguish two ways in which the models can be said to be bullshitters, and argue that they clearly meet at least one of these definitions. We further argue that describing AI misrepresentations as bullshit is both a more useful and more accurate way of predicting and discussing the behaviour of these systems.

One thing I wish I had understood better earlier on in my experience with PostgreSQL is how transactions and locks can be used together to provide serializable logic. 

In this post, we’ll look at how we can use one of the most popular libraries, React, to build a foldable web experience. 

SUNSPOT was another malware vector in the Solarwinds hack, and this article goes deep into how it was used to replace MSBuild.