Authenticate to Microsoft Azure while using Terraform

In one of our previous posts, we discussed what is terraform and how we can use install it on the server. Terraform is getting popular day by day to define resource configuration for the applications. One of the providers supported for terraform is Azure Provider which allows one to define Azure Resource configuration using the APIs offered by Microsoft Azure Resource Manager or AzureRM. However, before one can start defining the same, one needs to Authenticate oneself to the Azure. In this blog post, we’ll learn what methods can be used to authenticate oneself against Azure.

1. Configuring the Azure CLI

This method is to be used when one is interactively working with Terraform. Azure CLI or Azure command line interface is a cross platform command line tool offered by Microsoft to work with Microsoft Azure and manage azure resources. Continue reading “Authenticate to Microsoft Azure while using Terraform”

Install Azure CLI 2.0 on Ubuntu

Azure CLI or Azure command line interface is a cross platform command line tool offered by Microsoft to work with Microsoft Azure and manage azure resources. One can use it in the browser (in the azure cloud shell) or it can also be installed or major Operating Systems of one’s choice. Azure CLI 2.0 is optimized for managing and administering Azure resources from the command line, and for building automation scripts that work against the Azure Resource Manager.

Do note that azure is the prefix for old CLI – Azure CLI (i.e. version 1.0) , and that az is the prefix for the new CLI – Azure CLI 2.0.

In this blog post, we’ll learn how to install Azure CLI 2.0 on Ubuntu machine.
Continue reading “Install Azure CLI 2.0 on Ubuntu”

Azure RM Resource group deployment failed with error: Creating the deployment xx would exceed the quota of ‘800’.

Recently while deploying the source code using our CI/CD pipelines, we have got this error:

There were errors in your deployment. Error code: DeploymentQuotaExceeded.

2018-05-30T04:52:38.0042831Z ##[error]Creating the deployment ‘azuredeploy-20180430-045236-1abd’ would exceed the quota of ‘800’. The current deployment count is ‘800’, please delete some deployments before creating a new one. Please see https://aka.ms/arm-deploy for usage details.

2018-05-30T04:52:38.0051084Z ##[error]Task failed while creating or updating the template deployment.

One of the steps used by our release pipelines uses ARM template to make sure that resource being targeted has required azure configuration.
Continue reading “Azure RM Resource group deployment failed with error: Creating the deployment xx would exceed the quota of ‘800’.”

Load balance Azure Web Apps Using Nginx Server

Azure Web Apps is a peculiar case as it uses ARR (Application Request Routing) by using cookies. By enabling this, they get the functionality of the sticky sessions. A session is called as sticky session when subsequent requests that are made within an established session get processed by the same instance of an app that served the very first request of the session. However if you’ve built your app to be stateless ARR actually limits scalability of your system. It also disallows the Azure Web Apps to be configured behind a highly efficient web server like nginx.

In this blog post, we’ll learn how to configure nginx server so that you can configure multiple Azure Web Apps behind it.  Continue reading “Load balance Azure Web Apps Using Nginx Server”

Enable and Use Nested Virtualization on Azure Virtual Machine

Nested Virtualization is one of the cool new features in Windows Server 2016 that allows you to install hyper-v, create and run virtual machines inside a hyper-v virtual machine itself. In other words, a hyper-v virtual machine can act as a virtual host server. A great benefit of nested Hyper-V virtualization is for labs and training scenarios where you can, for instance, build a cluster of several virtual Hyper-V hosts on a single physical computer. This also allows one to use hyper-v containers and is required by Docker.

Also, provided you have required resource capacity, there are no depths of this feature. That means, you can create a virtual machine, inside a virtual machine, install hyper-v on guest virtual machine and then create virtual machines inside it. Well if you have seen inception, its something like it.  In this blog post, we will learn how to do the same for Azure Virtual Machine.  Continue reading “Enable and Use Nested Virtualization on Azure Virtual Machine”

Apply / Update application settings for Azure App Service using PowerShell

Windows Azure App Service (Now an umbrella term for Azure Web App, Azure Api App, etc.) has a handy capability whereby developers can store key-value string pairs in Azure as part of the configuration information associated with a website.  At runtime, Windows Azure Web Sites automatically retrieves these values for you and makes them available to code running in your website.  Since the key-value pairs are stored behind the scenes in the Windows Azure Web Sites configuration store, the key-value pairs don’t need to be stored in the file content of your web application.  From a security perspective that is a nice side benefit since sensitive information such as Sql connection strings with passwords never show up as cleartext in a config file. However, sometimes, this can be a little too much for the Azure Admins to configure each setting over there. In this blog post, we’ll learn how to apply application settings using PowerShell.  Continue reading “Apply / Update application settings for Azure App Service using PowerShell”

Backup / Restore Data to / from Azure Cosmos Database with Mongo DB API

Azure Cosmos Database (formerly known as Azure DocumentDB) is a PaaS offering from Microsoft Azure. As a document store, it falls into the same category as MongoDB, CouchDB or RethinkDB and other No SQL DBs and just like those, it handles documents in the JSON format.

Azure Cosmos DB automatically takes backups of all your data at regular intervals.  These automated backups are currently taken approximately every four hours and latest 2 backups are stored at all times. If the data is accidentally dropped or corrupted, you can contact Azure support within eight hours.

Now what happens if you figure out after 8 hours that your data is lost or if its corrupted in your development / staging environments or something accidentally went wrong with production while everyone was on holidays. Continue reading “Backup / Restore Data to / from Azure Cosmos Database with Mongo DB API”