See Google Cloud Machine Types (opens new window) for a complete descriptions of the different machine types and a comparison table to help you choose the VM Instance that is right for you.įor this setup, we will go with the general-purpose machine type E2. This family is the best option for workloads that require GPUs. GPU: ideal for massively parallelized Compute Unified Device Architecture (CUDA) compute workloads, such as machine learning (ML) and high performance computing (HPC). Memory-optimized: ideal for memory-intensive workloads, offering more memory per core than other machine families, with up to 12 TB of memory. General-purpose: best price-performance ratio for a variety of workloads.Ĭompute-optimized: highest performance per core on Compute Engine and optimized for compute-intensive workloads. Starting with machine types, Google Cloud offers four options, as noted in the Google website: Now you are presented with a menu of options with the ability to choose different types of machines, memory, and operating systems. The region and zone is permanent and cannot be changed once the VM Instance is created. The zone is arbitrary, go with the Google selected default. Even if you are located in Europe, you still will get acceptable response times if you choose a US location. The cheapest operating costs are locations in the United States. However, if you are running things as a hobby, response times are secondary to cost. A good link to check the response times near you based on your GCP ping (opens new window). Conventional wisdom states that you should pick one that is close to where your users are to minimize response times. Remember that the name is permanent and cannot be changed once created.Įvery VM Instance is tied to a region and a zone. Type in a name for your instance under Name. Menu > Compute Engine > VM instances > Create Instance Click on the menu and select the follow options:.Go to the Google Cloud Console (opens new window).For configurations that are not part of the free trial such as the configuration recommended in this article, you will have to set up a credit card and a billing account. New users get a free trial credits, but for this article I will assume you are a paying customer and will set up a VM instance in the most cost effective way possible. You may use any Google account to signup. If you need to setup an account, go to Google Cloud (opens new window).Ĭlick on signup and go through the prompts. With that said, let's get started! # Setupįirst, if you have not done so already, please make sure you have a Google Cloud Account. This setup will cost you money! If done properly, not a lot of money, but still money nonetheless.Īs with anything done in the cloud, be aware! There is no limit on the money that you could spend if you are not careful, so be sure to research and be comfortable with the commands and steps shown in this article. In this article, I will show you how to set up a virtual compute instance on Google Cloud and install and configure Ubuntu 20.04 with remote access using NoMachine. Besides, is it possible to check the full connection error logs for tailscale? Thanks.Nowadays, setting up and running a Virtual Machine in the cloud is for everyone! Easy to set up and easy to use, cloud computing gives worlds of opportunity that until recently was squarely in the domain of the super users. I wonder if I should change some of the tailscale settings. I’m a new tailscale user and I use the default tailscale settings. However, the connection from ssh or http always fails. I can use Nomachine from Windows to Ubuntu with tailscale, so the connection provided by tailscale is also usable. I can directly use the sshd and nginx from Windows when under the same LAN, so these two services probably have no errors. Kex_exchange_identification: Connection closed by remote host Here’s the ssh command tailscale ssh and the error be like:ĭial(“ .net.”, 22): unexpected HTTP response: 502 Bad Gateway, dial failure: dial tcp 100.xx.xx.xx:22: connectex: A connection attempt failed because the connected party did not properly respond after a period of time, or established connection failed because connected host has failed to respond. Pong from ubuntu (100.xx.xx.xx) via xx.xx.xx.xx:xxxxx in 70ms The ping tailscale ping ubuntu result is like this: I can ping from my Windows to Ubuntu but I cannot use ssh or HTTP service(I run an Nginx server on my Ubuntu.) I have 2 devices: 1 Windows laptop(Windows11 21H2) and 1 Linux desktop(Ubuntu 20.04.5). However, I cannot use ssh or http server with tailscale. I can ping and use the Nomachine program(a remote desktop sharing program with NX protocol) with tailscale.
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