![]() Users will connect using credentials set up by an administrator or using their existing Active Directory credentials if you’ve chosen to integrate your Amazon WorkSpaces with an existing Active Directory domain. Q: How do I connect to my Amazon WorkSpace?Ī: A user can connect to a WorkSpace from any supported device using the free Amazon WorkSpaces client application on supported devices, including Windows and Mac computers, iPads, Android tablets, Android-compatible Chrome OS devices, or using Chrome or Firefox web browsers. A WorkSpace is available as a bundle of operating system, compute resources, storage space, and software applications that allow a user to perform day-to-day tasks just like using a traditional desktop. ![]() With Amazon WorkSpaces, your users get a fast, responsive desktop of their choice that they can access anywhere, anytime, from any supported device.Ī: An Amazon WorkSpace is a cloud-based virtual desktop that can act as a replacement for a traditional desktop. Amazon WorkSpaces helps you eliminate the complexity in managing inventory, OS versions and patches, and VDI, which helps simplify your desktop delivery strategy. You can pay either monthly or hourly, just for the WorkSpaces you launch, which helps you save money when compared to traditional desktops and on-premises Virtual Desktop Infrastructure (VDI) solutions. You can use Amazon WorkSpaces to provision either Windows, Amazon Linux, or Ubuntu Linux desktops in just a few minutes and quickly scale to provide thousands of desktops to workers across the globe. As mentioned in one of the paragraphs, it has many additional options to be used, but we only need a few of them to be able to do a basic data transfer.A: Amazon WorkSpaces is a managed, secure cloud desktop service. ![]() Scp is a very powerful command which allows us to easily transfer files between local and remote AWS server. ~/Downloads specifying path to the destination directory on the local machine (where transferred file will exist after execution).~/deployment/current/src specifying path to the directory which we want to transfer to from AWS server.-r specifying AWS user and IP address of the remote instance, this time with -r option we say that we want to transfer directory recursively.-i ~/.ssh/key specifying path to the identity_file, key which you also use for ssh connection with your AWS instance. ![]() Let’s segment command for easier understanding: Scenario – transferring src directory from AWS server, to the local Downloads folder: scp -i ~/.ssh/key -r ~/Downloads ~/deployment/current/public specifying path to the destination directory on the remote instance (where transferred file will exist after execution).specifying AWS user and IP address of the remote instance.~/Downloads/image.png specifying path to the file which we want to transfer from local machine.shh/key specifying path to the identity_file, key which you also use for ssh connection with your AWS instance Scenario – transferring an image from the local machine’s Downloads folder to AWS server, which has ec2-user and IP address 192.168.1.1: scp -i ~/.ssh/key ~/Downloads/image.png segment command for easier understanding: parameter will be of help to transfer whole directory. parameter will be of use for our case of communicating with AWS instances, since we need to use private key which is also used for ssh connection with the server. targetĪ comprehensive list with detailed explanations can be found here. To get a list of available options for scp command, we can run scp help: $ scp help In this post, we will cover first 2 cases. between two remote machines, by using local machine.Generally, with this command, we are able to do 3 types of file transfers: Therefore, let’s take a look at how can we use it. After seeing secure keyword in its name, I didn’t waste time on looking for other solutions, although I believe there are many. Since I haven’t done this before, after a quick googling, I stumbled upon a cool bash command scp (secure copy). Recently, I needed to transfer files from local machine to the remote AWS instance.
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