[JuneDataplace.Com] – Mega Sale Starting $100/m – 4/6/8/12 CPUs – SATA/SSD Disk – Multiple IPv4 | Proxies-free

It doesn’t matter if you’re an enterprise level business, a small business or even someone who needs a server or web hosting for personal use, we have a suitable package for you. Our array of high performance services in Dedicated Servers. June Dataplace reputation will be going to be built on trust, friendliness and top-level support for all clients throughout the world. Combine that with 24/7 technical support and a 99.99% uptime guarantee, you are in safe hands with us. We take pride in our first class support and are always happy to assist our customers.

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Single CPU, Multiple Cores
(Best Suitable For Developers/Testers Or Small Scale Business.)

Intel Quadcore X3440 For $100.50/m

  • Intel Quadcore X3430
  • 8 GB DDR3 ECC RAM
  • 1 TB SATAII HDD
  • 1 Gbps Uplink Port
  • 10 TB Bandwidth
  • Location: Netherlands (EU)

Order Now

Intel E3-1230 For $125.50/m

  • Intel Quadcore X3430
  • 16 GB DDR3 ECC RAM
  • 2 TB SATAII HDD
  • 1 Gbps Uplink Port
  • 25TB Bandwidth
  • Location: Netherlands (EU)

Order Now

Intel Xeon E3-1230 For $145.50/m

  • Intel Xeon E3-1230
  • 16 GB DDR3 ECC RAM
  • 2 TB SATAII HDD
  • 1 Gbps Uplink Port
  • 25 TB Bandwidth
  • Location: Netherlands (EU)

Order Now

Intel Xeon E3-1246v6 For $180.50/m

  • Intel Xeon E3-1246v6
  • 16 GB DDR3 ECC RAM
  • 2 TB SATAII HDD
  • 1 Gbps Uplink Port
  • 100 TB Bandwidth
  • Location: Netherlands (EU)

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Multiple CPUs, Multiple Cores
(Best Suitable For High Scale Websites or Business.)

2 x E5520 2.26GHz For $185/m

  • 2 x E5520 2.26GHz
  • 24GB DDR3 ECC RAM
  • 1TB SATAII HDD
  • 1Gbps Uplink Port
  • 25TB Bandwidth
  • Location: USA

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2 x E5620 2.4GHz For $199/m

  • 2 x E5620 2.4GHz
  • 24GB DDR3 ECC RAM
  • 1TB SATAII HDD
  • 1Gbps Uplink Port
  • 25TB Bandwidth
  • Location: USA

Order Now

Intel Quadcore X3430 For $399/m

  • Intel Quadcore X3440
  • 64GB ECC RAM
  • 960GB SSD + 2TB SATA
  • 10 Gbps Uplink Port
  • Unmetered Bandwidth
  • Location: USA

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2 x E5-2650 v3 2.3GHz For $999/m

  • 2 x E5-2650 v3 2.3GHz
  • 96GB DDR3 ECC RAM
  • 4X480GB SSD HDD
  • 1Gbps Uplink Port
  • Unmetered Bandwidth
  • Location: USA

Order Now

* If you require something that boasts a little more power request a quote today!.

Contact Us
If you have any questions about our services or would like to request a custom package please send us a Ticket or email us at sales@junedataplace.com
We also have a live chat link on the side of our website.

 

backup – Clone Device To Multiple Devices

I have to set up and configure a thousand devices that use Android Go 8.1.

Every device is the same brand and same model.

I have to install two third-party APKs that get thrown a warning by Play Protect. I also have to configure certain settings, Pass Code, disabling background mobile data for certain apps….Notification settings and so forth. Everything on every phone needs to be precisely the same, down to the pass code, and down to the GMail address the device is logged in with.

I have no experience in Rooting. I need some advice on how I would achieve this in the fastest way possible. The device is a generic Hisense U605 with 1GB RAM and 8GB internal storage.

parallelization – How to share multiple “tagged” functions (symbols) like f[a][b] in parallel kernels?

I would like to give some context: I need to analyse many data sets stored in files using different kind of analyses. To keep track I like to tag each results of my analysis for example like result("analysis1")("file1"). For this I am used to write code like this:

analyse(params_)(file_):=Module({data},
  data=accessdata(file);
  result("analysis1")(file)=doanalysis1(params, data);
  result("analysis2")(file)=doanalysis2(params, data);
)

(*analalyse many files*)
files={"file1", "file2", ...};
Map(analyse(params),files);

(* aggregate results e.g. in plots or histograms*)
ListPlot(result("analysis1")/@files);
Histogram(result("analysis2")/@files)

This works fine and gives me great flexibility. For example if I need to re-analise e.g. “file17”, maybe with some other parameters, I can just call analyse(otherparam)("file17") and plot the updated results again. or I can save the results with Save("resultfile", result).

My problem arises, if I try to parallelize this.

ParallelMap(analyse(params),files);
does not work, because each kernel will have its own version of result.
I tried:

SetSharedFunction(result);
ParallelMap(analyse(params),files);

But I got error messages from all kernels like:

Set::write: Tag Null in Null("file1") is protected.

Also I tried:

SetSharedFunction(result("analysis1"))

which apparently does not even get executed.
How can one share result such that the code above works with ParallelMap?

encryption – How to change password of multiple ZIP archive files at once?

I have 50 password protected ZIP compressed archive files. By design, all the files have the same password.

I now want to change the password for all those ZIP files to a different password (again, keeping the password the same for each ZIP file).

What is a quick and easy way to accomplish this task?

graphics – What is the best way to batch edit multiple images to increase overall transparency?

I don’t need to see the real time preview of the effect. I’m just looking for an efficient solution to set the transparency for about 200 images to about 50%. I have yet to find an elegant native solution, though maybe it is possible via Preview, Photos, ImageMagick, Photos, or Automator. Any advice would be appreciated.

c# – How to create a modular system of multiple .NET Core applications extending a single application?

So first of all let me explain what I want to achieve:

I want to create a basic .NET Core console application which is responsible for loading external extensions (more on this later on), listening for events, connection handling etc.

Let’s assume this application is a Discord bot or Amazon’s Alexa. It is responsible for starting, shutting down, connecting and so on.

But you want to provide a system to extend this basic application with a plug n play system. So instead of extending the core repository you would create another repository with a .NET Core library which provides a new feature/command/skill.

At the end you would have a core application in one repository and multiple repositories extending the core application.

How to develop this?

Let’s assume

  • Developer A creates the core application in a repository myApp.core
  • Developer B wants to create a “Hello World” command in a separate repository myApp.extensions.hello-world
  • Developer C wants to create a “Ping” command in a separate repository myApp.extensions.ping

Developer A could work on the application it’s easy to test locally.

Developers B and C create libraries for their features. To get their libraries loaded into the application Developer A loads all DLL files from a specific directory “Extensions” during startup.

But how could Developers B and C test their new features if they want to debug the libraries in their IDEs? They can’t run that library so they have to test that library by running the core application.

Things might get tricky if developer A is an employee and developer B and C are just customers creating their own commands but don’t have access to the core application.

So how would developers B and C debug their libraries locally then? Are there any better approaches for this? Maybe Docker helps out?

8 – How can I create a custom field type for a select with multiple values?

I need a field type with 3 select in it. The field type is created and works like a charm but I’d like one of these select may have multiple values. What must I change? I add ‘#multiple’ => TRUE, in the widget. But I can’t save my values. I should probably change the type of field in the FieldType but how? Thanks in advance.