Create a Virtual Machine with Private IP from a Virtual Network that's in a Different Subscription in Azure
20 Oct 2020 | Azure | VM • Private IP
In previous post I described how to create a Linux Virtual Machine(VM) and connect to it through WindSCP on Windows 10 under a company proxy. However, it is not a best practice from security perspective. One of the best practices is to create a VM with private IP that comes from a dedicated Virtual Network (VNet). The VNet can be in the same Resource Group as the VM, but it can also be from different Resource Groups and even different Subscriptions. This post describes how to create a Linux VM with a Private IP in a VNet that comes from a different Subscription. Read More...

Create and Connect to Azure VMs through WinSCP/PuTTY
01 Oct 2020 | Azure | VM • SSH • Proxy
To learn Microsoft Azure Virtual Machine, the first thing you want to try might be to create a VM and connect to it. If you follow the steps described in Microsoft’s official quickstart document, you most likely fail to connect to it, especially when you are under a company proxy. This post decribes the step-by-step process I performed to create a Linux VM and connect to it through WindSCP on Windows 10 under a company proxy. Read More...

Create AI Platform Notebooks Instance in Shared VPC without Service Availability
16 Jul 2020 | Google Cloud Platform | AI Platform • Shared VPC • gcloud
AI Platform Notebooks is a managed service that provides an integration of JupyterLab, Git, and optimized data science libraries and frameworks. From it, you can get access to almost all ML frameworks, such as TensorFlow, Keras, PyTorch, etc. It is an excellent place for machine learning developers to experiment, develop, and deploy models into production. In addition, AI Platform Notebooks also supports enterprise security architectures through shared VPC and private IP controls. Read More...

Install, Setup and Manage Google Cloud SDK to Use Python From Anaconda
07 Jun 2020 | Google Cloud Platform | Cloud SDK
As a power user of Google Cloud Platform, you definately need to use gcloud, gsutil and bq commands to work with GCP, which means you need to install Google Cloud SDK on your local computer. You can install the Cloud SDK through many options, including versioned archives, installer, apt-get/yum for Linux distro, and even Docker image. This post describes the process of installing the Cloud SDK through versioned archive on operating systems that have already installed Python through Anaconda. The process has been tested on both Windows 10 and Ubuntu 18.04. Read More...