Відео

Agreed. Came here to look for user management tutorial and all I got was GUI buttons walkthrough :(

Glad to hear , feel free to reach out if you need any further help.

Thanks for reaching out . You can follow below Getting started guide to deploy Kali GUI on Azure. Feel free to reachout to info@techltest.net if you have any further questions: www.techlatest.net/support/desktop_linux_kali_support/azure_gettingstartedguide/index.html

@@techlatest_net thank you so much for your help

We regularly upgrade our cloud marketplace listing with the latest updates to the application, but due to the listing process, it takes some time to catch up with the latest version. You have two options to update the application , one way is to wait for the update from our end and then redeploy the solution. AWS sends an email notification to our customers when the solution is updated. Second option is to update your existing solution yourself by following the upgrade steps provided by Langflow.

Can you please share error details at info@techlatest.net?

Details anta pampu chepthadu dhobuthunav janalni

This VM comes with the bitcoin core V0.25.0 along with updated bitcoin-qt, bitcoin-cli and bitcoin-wallet on Ubuntu 22.04. It also provide you the latest ordinal installed which is a numbering scheme for satoshis that allows tracking and transferring individual sats. It also include Hiro Wallet Desktop App and Firefox Browser extension installed out of the box so you can quickly start with the Ordinal inscriptions. This VM provides you full bitcoin node . It has out of box setup for bitcoin which includes bitcoind & bitcoin QT GUI, ordinal, Hiro Wallet & synced ledger (till the VM publishing date ) making it easier & faster for you to fully sync the ledger.

No, it is not :) . We are not there yet for full fledged automated videos via prompts. The voice over is however using text to speech AI if that is what prompted you to ask this question.

Glad that you liked the course overview . Feel free to reach out if you need any support .

You are welcome.

Glad to be of help!

It should work. Feel free to reach out to us in case you face any issues.

The videos are based on SD model 2.1 but the setup is done in such a way that you can upgrade the model. See below links for more details: medium.com/javarevisited/what-are-stable-diffusion-models-how-to-use-different-models-in-automatic1111-13c7874ea284

@@techlatest_net Thanks !!

If you have the vm shutdown, you won't be charged. Charges will incur if vm is running even if you are not using it. Hope this helps.

I was wondering the same

Hello IsmailK, We have a short guide on "Ethereum Full Node for development using Web3" available at - surl.li/hqsuj Also to know more from the official documentation please visit- surl.li/hqtbg If you have any query regarding the solution please contact us using www.techlatest.net/contactus/ form.

To manage resources in Jupyterhub, you can set user memory and CPU guarantees/ limits. A resource guarantee means that all users will have at least this resource available at all times, but they may be given more resources if they’re available. A resource limit sets a hard limit on the resources available. You can find more details at - zero-to-jupyterhub.readthedocs.io/en/stable/jupyterhub/customizing/user-resources.html#. This way you can manage the resources in Jupyterhub. However our Python and AI machine learning kit comes with default spawner which does not support setting up the guarantees/limits for resources. A Spawner represents an abstract interface to a process and is responsible for starting each single-user notebook server. You can read more about what is spawner and how it works at - jupyterhub.readthedocs.io/en/stable/reference/spawners.html You can create custom spawner and set CPU via "cpu_guarantee" & "cpu_limit" and memory via "mem_guarantee" and "mem_limit" directive. Please find more details at - jupyterhub.readthedocs.io/en/stable/api/spawner.html

Hello Shubham. You can change the format of resulting column in SQL editor of metabase. To do so click on the column name and select formating. then choose the required format. You can watch this -> ua-cam.com/video/1H8O9YkiFgY/v-deo.html video from the Metabase playlist showing how to format a column in SQL editor. Starting at 1:50.

Thanks DarLanD for your interest . Feel free to reach out to us at info@techlatest.net in case you need any support or clarification.

via our official email info@techlatest.net

Hi Everyone, I am Mohammed from techlatest. We Got to know about it yesterday and immediately approached OP to get more details and responded to OP. It is very unfortunate what happened and it is also unfortunate that without any evidence, immediately it was blamed on the AMI/VM image when there can be any number of reasons including : 1. SSH key may have been compromised which allowed the hacker to perform the transaction 2. OP opened a custom port and allowed access from anywhere on the internet which could have allowed the hack We have responded to him and still looking into it if something can be done. The fact that we approached OP and I am here writing this is the very eveidence that it is not the image which caused it. Additionally, there are some more justifications: 1. The listed images go through security vulnaribilites including port scans at AWS end and it is listed after passing the test. Same is true for other cloud providers 2. The bitcoin setup was done via Github source code and anyone is welcomed to verify the same from the image Having said that, as mentioned in my email, we have put a disclaimer on the VM listing to not use it as hot wallet or for commercial purposes. The updates are already published for GCP and will be live for AWS listing after AWS's internal process.

Sorry to hear that. Will it be possible for you to share your contact email to get more details? We would like to find if it is really because of our node image and if so, to fix the issue. Thanks!

Just to be on the record to make it clear that the issue was not with the image, we reached out to OP and got more details about the hack and responded back. Below is our response for the reference: We did the investigation from our side and did not find any reason for the transaction. The Image has been used by other customers for a while now and this is the first time we heard of such an incident. We see two possibilities for the hack: 1. Your SSH key may have been compromised which allowed the hacker to perform the transaction 2. The marketplace image deployment does not open port 8333 , so it seems it was opened from your side post deployment which might have allowed the hack As a precautionary measure, we have submitted a request to update the Marketplace description of the image to include a note to not use the image as a hot wallet or for commercial transactions. Also, please note that AWS, GCP and Azure have strict internal process of scanning the marketplace images for any vulnerabilities before making it public, so there is no room for any malicious code in the image. We are really very sorry to hear this happening to you and we are reaching out to the community to help us in further investigation and to avoid such incidents in future.

If you are referring to Jupyter resources (notebooks etc) created via Jupyter, then each user has his/her own seperate Jupyter home directory for eg. /home/<username>/Desktop/python-machine-learning-kit. Refer second line with the value "c.Spawner.notebook_dir" in /home/anaconda/jupyterhub_config.py file for specific location and to change the same. If you are reffering to the computing resources, then it is shared across the users by the VM.

​@@techlatestnet2348 Thanks for the reply. 1. So does it mean that each user will have standalone jupyternotebook running on the shared computing resources? 2. If i am running tljh and want to share the computing resources of the server computer (not with the cloud services like Azure, OCean droplet, etc) to all of the users. Do i need to install with Kubernetes? Your reply is highly appreciated. Thank you in advance~

Yes, each user will have separate Jupyter instance on the vm. These instances are spanned and managed by Jupyter Hub. You don't need to have kubernetes to manage the resources, JupyterHub takes care of it.

@@techlatestnet2348 So meaning users jupyter notebook on jupyterhub will be using the resources on the server computer?

@@tatchan837 Yes