Skip to main content

Azure VM

 Introduction

Azure Virtual Machines is one of several types of on-demand, scalable computing resources that Azure offers. Typically, you'll choose a virtual machine if you need more control over the computing environment than the choices such as App Service or Cloud Services offer. Azure Virtual Machines provide you with an operating system, storage, and networking capabilities and can run a wide range of applications.

Virtual machines are part of the Infrastructure as a Service (IaaS) offering. IaaS is an instant computing infrastructure, provisioned and managed over the Internet. Quickly scale up and down with demand and pay only for what you use.


Scenario

Suppose you work for a company doing consumer research and you're responsible for managing the on-premises servers. The servers you administer run all the company infrastructure, from web servers to databases. However, the hardware is aging and starting to struggle to keep up with some of the new data analysis applications being deployed to it. Rather than upgrade the hardware, the company has decided to deploy Azure virtual machines.

You are responsible for deploying the new virtual machines. Your deployment tasks will include correctly sizing the machines, selecting storage, and configuring networking.

Learning objectives

  • Create a virtual machine planning checklist.
  • Determine virtual machine locations and pricing models.
  • Determine the correct virtual machine size.
  • Configure virtual machine storage.

cloud services responsibilities


IaaS business scenarios

  • Test and development
  • Website hosting
  • High-performance computing
  • Extended Datacenter
  • Big data analysis
  • Storage, backup, and recovery
Note: Considerations for the location

  • The location can limit your available options. Each region has different hardware available and some configurations are not available in all regions.
  • There are price differences between locations. If your workload isn't bound to a specific location, it can be very cost effective to check your required configuration in multiple regions to find the lowest price.

Resizing virtual machines

Azure allows you to change the VM size when the existing size no longer meets your needs. You can resize a VM if your current hardware configuration is allowed in the new size. This provides a fully agile and elastic approach to VM management.

When you stop and deallocate the VM, you can select any size available in your region.


Note:

Be cautious when resizing production VMs. Resizing may require a restart that can cause a temporary outage or change configuration settings like the IP address.

Operating system disks


Temporary disk

Every VM contains a temporary disk, which is not a managed disk. The temporary disk provides short-term storage for applications and processes and is intended to only store data such as page or swap files. Data on the temporary disk may be lost during a maintenance event or when you redeploy a VM. During a standard reboot of the VM, the data on the temporary drive should persist. However, there are cases where the data may not persist, such as moving to a new host. Therefore, any data on the temp drive should not be data that is critical to the system.

  • On Windows virtual machines, this disk is labeled as the D: drive by default and it used for storing pagefile.sys.
  • On Linux virtual machines, the disk is typically /dev/sdb and is formatted and mounted to /mnt by the Azure Linux Agent.

Data disks

A data disk is a managed disk that's attached to a virtual machine to store application data, or other data you need to keep. The size of the virtual machine determines how many data disks you can attach to it and the type of storage you can use to host the disks.

Managed vs Unmanaged Disks.





Comments

Popular posts from this blog

Docker In Details

  Course Contents:- 1. Overview of Docker 2. Difference between Virtualization & Containerization 3. Installation & Configuration of Docker Runtime on Linux & Windows 4. Practice on Docker commands 5. launch a Webserver in a container 6. Launch public & official images of application like Jenkins, Nginx, DB etc.. 7. Launch a base OS Container 8. How to save changes inside the container & create a fresh image(commit) 9. How to ship image & container from one hardware to another. 10. How to remove stop/rm multiple container/images 11. Docker Registry 12. Docker Networking       Check current docker network                  Docker Network Bridge                     Docker Network Weaving                  Launch our own Docker Cluster with our defined Network             ...

Connect SparkThriftServer with Tableau/PowerBI

  Connect SparkThriftServer with Tableau/PowerBI REFERENCE : https://docs.microsoft.com/en-us/azure/hdinsight/hdinsight-apache-spark-use-bi-tools Use Power BI for Spark data visualization Note This section is applicable only for Spark 1.6 on HDInsight 3.4 and Spark 2.0 on HDInsight 3.5.   Once you have saved the data as a table, you can use Power BI to connect to the data and visualize it to create reports, dashboards, etc.   1.       Make sure you have access to Power BI. You can get a free preview subscription of Power BI from http://www.powerbi.com/ . 2.       Sign in to Power BI . 3.       From the bottom of the left pane, click Get Data . 4.       On the Get Data page, under Import or Connect to Data , for Databases , click Get . 5.       On the next screen, click Spark on Azure HDInsight and then click Connect . When prompted, enter th...

Roadmap to DevOps

    DevOps is nothing but the combination of process and philosophies which contains four basic component culture, collaboration, tools, and practices. In return, this gives a good automated system and infrastructure which helps an organisation to deliver a quality and reliable build. The beauty of this culture is it enables a quality for organizations to better serve their customers and compete more effectively in the market and also add some promised benefits which include confidence and trust, faster software releases, ability to solve critical issues quickly, and better manage unplanned work.   1. What are the tasks of a DevOps Engineer? Design, build, test and deploy scalable, distributed systems from development through production Manage the code repository(such as Git, SVN, BitBucket, etc.) including code merging and integrating, branching and maintenance and remote repository management Manage, configure and maintain infra...

Kubernetes-Update

                                                    https://kubernetes.io/ Kubernetes (K8s)  is an open-source system for automating deployment, scaling, and management of containerized applications. It groups containers that make up an application into logical units for easy management and discovery. Kubernetes builds upon  15 years of experience of running production workloads at Google , combined with best-of-breed ideas and practices from the community. Latest Verion:-  1.19 Kubernetes Objects Kubernetes defines a set of building blocks ("primitives"), which collectively provide mechanisms that deploy, maintain, and scale applications based on CPU, memory or custom metrics. Kubernetes is loosely coupled and extensible to meet different workloads. This extensibility is provided in large part by the Kubernetes API, which is used by int...

Git

Git Git  has steadily risen from being just a preferred skill to a must-have skill in last few years. in this blog we will go through top 20 git commands that every devops uses daily. If you don't have a gitlab account. please follow below link to create it free.   https://gitlab.com/ before using git please install git on your linux machine using below command. yum install git -y Use below command to create ssh keyol ssh-keygen -t rsa Below are the git command which we will cover in this blog. ·          git config ·          git init ·          git clone ·          git add ·          git commit ·          git diff ·          git reset ·      ...