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NVMe Client SSD designed for gaming content creation

SSD for games designed for rigorous demands

Micron Technology, Inc. has unveiled it’s latest advancement in storage solutions, the Micron 3500 NVMe SSD. This new solid-state drive is designed to meet the rigorous demands of high-performance computing, offering substantial improvements for a range of applications from being and SSD for games or business operations to scientific research, and from immersive gaming to creative content development. The drive boasts a remarkable 232-layer NAND technology, which is a testament to Micron’s commitment to innovation and excellence in the realm of data storage.

SSD for games and more

The Micron 3500 SSD is a significant step up for professionals and enthusiasts who prioritize peak performance. The incorporation of 232-layer NAND technology not only increases the storage capacity but also enhances the drive’s efficiency. This leads to faster data retrieval and improved durability, making it a versatile choice for various computing environments, including sleek ultrabooks and robust desktops. The drive’s M.2 form factor ensures it can be easily integrated into a wide array of systems.

Micron 3500 NVMe Client SSD

At the heart of the Micron 3500 NVMe SSD’s allure is its remarkable performance boost. Through rigorous benchmark tests, the drive has demonstrated a 71% increase in productivity for development-related tasks and an impressive 132% surge in performance for scientific computing workloads. These figures indicate that users will notice a significant enhancement in the speed and responsiveness of their systems, especially when dealing with complex operations and large data sets. Here are some other articles you may find of interest on the subject of SSDs :

The drive is particularly advantageous for gamers, content creators, and professionals working with client AI applications. One of its standout features is the support for DirectStorage, which enables faster game loading times and a more fluid gaming experience. This technology allows the SSD to bypass certain CPU processes, reducing bottlenecks and elevating overall system performance.

Further benchmarking underscores the SSD’s exceptional performance, showcasing up to 36% higher bandwidth, 38% faster access times, and a 37% increase in overall performance when compared to competing products. These metrics firmly position the Micron 3500 NVMe SSD as a leading choice for tackling the most demanding computing challenges with relative ease.

The Micron 3500 NVMe SSD for games is a compelling option for anyone looking to upgrade their computing power. It is well-suited for analyzing complex data sets, producing high-resolution content, or engaging in competitive gaming. The drive’s advanced technology and impressive performance benchmarks indicate that it is ready to make a significant mark on the high-performance computing landscape. Now available in capacities up to 2 TB, the Micron 3500 SSD is currently being shipped to a select group of customers, signaling a new era of storage solutions that cater to the ever-growing needs of data-intensive applications.

Filed Under: Hardware, Top News





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Amazon WorkSpace Thin Client unveiled

Amazon WorkSpace Thin Client

Amazon has announced the Amazon WorkSpace Thin Client, a new compact computer that is designed to access cloud-based virtual desktops, and it will retail for $195 in the USA, the device is based on the Amazon Fire TV Cube.

The new Workspaces Thin Client is designed for use in customer services, technical support, health care and many more business, you can see more details aboutg the devcie below.

At first glance, it may look like a Fire TV Cube, but the new Amazon WorkSpaces Thin Client is not for spending time watching Thursday Night Football or bingeing Invincible. As the name suggests, it’s intended for enterprise workers to reduce an employer’s technology costs and provide enhanced security.

For a significant portion of the workforce, some form of remote and hybrid work is here to stay, particularly in industries such as customer service, technical support, and health care. Enabling people to work in this way, securely and at the scale large enterprises require, poses real challenges. Employees need quick, reliable access to a variety of business applications and data—regardless of where they are working. Enter the Amazon WorkSpaces Thin Client.

You can find out more information about the new Amazon WorkSpace Client over at the Amazon website at the link below,it will be available in the USA for $195.

Source Amazon

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How to Get the Client IP in ASP.NET Core Even Behind a Proxy

When building web applications with ASP.NET Core, it is often useful to know the IP address of the client/user making the HTTP request. The client IP address can be used for various purposes like implementing IP address based access restrictions, analytics, logging, security etc.

However, determining the actual client IP can be tricky if the requests are going through a proxy server or load balancer. The proxy server handles all the external requests, and the request reaching the ASP.NET Core development Company application will contain the proxy server IP instead of the actual client IP.

In this blog post, we will look at different ways to retrieve the actual client IP address in ASP.NET Core even when requests are coming through a proxy server or load balancer.

ASP.NET Core provides the RemoteIpHeaderAttribute attribute that can be used to tell ASP.NET Core which HTTP request header contains the actual client IP address. If the requests are coming through a proxy, the proxy typically populates the X-Forwarded-For header with the client IP address.

To use RemoteIpHeaderAttribute, first add it to the IHttpContextAccessor service in the Startup.ConfigureServices 

method:

Source {csharp}

Copy

services.AddHttpContextAccessor();

services.Configure<ForwardedHeadersOptions>(options =>

{

  options.ForwardedHeaders = 

    ForwardedHeaders.XForwardedFor | ForwardedHeaders.XForwardedProto;

});

Then access the client IP address via HttpContext.Connection.RemoteIpAddress property:

Source {csharp}

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public class HomeController : Controller 

{

  private readonly IHttpContextAccessor _httpContextAccessor;

  public HomeController(IHttpContextAccessor httpContextAccessor) 

  {

    _httpContextAccessor = httpContextAccessor;

  }

  public IActionResult Index()

  {

    var remoteIpAddress = _httpContextAccessor

                         .HttpContext

                         .Connection

                         .RemoteIpAddress;

    // remoteIpAddress will contain actual client IP  

  }

}

This works for common proxy servers and load balancers that populate the standard X-Forwarded-For header.

Some proxies may use custom HTTP headers to carry client IP instead of X-Forwarded-For. In such cases, you can configure ASP.NET Core to read client IP from multiple request headers using ForwardedHeadersOptions:

Source {csharp}

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options.ForwardedHeaders = 

  ForwardedHeaders.XForwardedFor | ForwardedHeaders.XProxyUserIp;

This tells ASP.NET Core to check X-Forwarded-For and then X-Proxy-User-Ip headers for client IP address.

You can also configure it to read IP from a specific custom header:

Source {csharp}

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options.ForwardedHeaders = ForwardedHeaders.MyProxyHeader;

Using Middleware

An alternative to RemoteIpHeaderAttribute is to write custom middleware that reads client IP address from request headers and stores it in the HttpContext.

For example:

Source {csharp}

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public class GetClientIpMiddleware

{

  private readonly RequestDelegate _next;

  public GetClientIpMiddleware(RequestDelegate next) 

  {

    _next = next;

  }

  public async Task Invoke(HttpContext context) 

  {

    string ipAddress;

    if (context.Request.Headers.ContainsKey(“X-Forwarded-For”))

    {

      ipAddress = context.Request.Headers[“X-Forwarded-For”].FirstOrDefault();

    }

    else

    {

      throw new Exception(“Could not determine client IP address”);

    }

    context.Connection.RemoteIpAddress = IPAddress.Parse(ipAddress);

    await _next(context);

  }

}

Register this middleware before your other middleware:

Source {csharp}

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app.UseMiddleware<GetClientIpMiddleware>(); 

Now client IP will be available via RemoteIpAddress property.

Instead of storing client IP in the HttpContext, you can also directly read it from the request headers wherever needed:

Source {csharp}

Copy

string ipAddress;

if (context.Request.Headers.ContainsKey(“X-Forwarded-For”)) {

  ipAddress = context.Request.Headers[“X-Forwarded-For”].FirstOrDefault();

}

This avoids polluting the HttpContext and allows reading IP flexibly on per-request basis.

Issues Behind Multiple Proxies

If the request passes through multiple proxies, the client IP will be stored in X-Forwarded-For header as a list separated by comma. In that case you need to parse this header to extract the first (left-most) IP address which is closest to the client:

Source {csharp}

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var ipList = context.Request.Headers[“X-Forwarded-For”].Split(“,”).ToList();

ipAddress = ipList.FirstOrDefault();

Also note that some proxies may spoil X-Forwarded-For header by adding their own IP incorrectly. In those cases, it may not be possible to reliably determine the client IP.

Diesel is an open-source .NET middleware that tries to normalize HTTP headers coming from various proxies and load balancers. It rewrites headers like X-Forwarded-For to a standard format.

To use Diesel in ASP.NET Core:

Source {csharp}

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services.AddDiesel(options => {

  options.ForwardedForHeader = “X-Forwarded-For”;

});

This helps abstract away differences between various proxies and provides a consistent way to retrieve client IP.

Conclusion

Hire Dot NET Core Developers involves finding individuals who can implement various methods for retrieving the actual client IP address in ASP.NET Core applications, even when requests pass through proxies and load balancers. The RemoteIpHeaderAttribute offers a straightforward mechanism but relies on proxies correctly populating standard headers. Custom solutions, such as middleware, provide greater flexibility but require more code. Using Diesel to normalize proxies helps mitigate differences between various proxy implementations. Understanding how proxies function is essential for choosing the appropriate approach for a specific scenario or proxy configuration.