This is the second of a two-section blog arrangement about running Linux on Azure. In the principal blog Part I talked about the rudiments of running Linux on Azure. In this post I will go somewhat more profound into a portion of the vital ideas that I have found while exploring different avenues regarding Linux on Azure throughout the previous a while.


A cool aspect concerning running Linux on Azure is the expansions that tie Linux virtual machines into the Azure condition. This is another element that honestly shocked me a bit. I anticipated that Microsoft items would completely coordinate with Azure (and they do) however I anticipated that the Linux mix would be inconvenient.

That turned out to not be the situation. There are Linux augmentations that coordinate specifically into Azure. These augmentations are tried on most Linux distros. You can begin, close down and even screen Linux resources from inside Azure. Things like boot logs and execution measurements are recorded in Azure and can be seen from inside the Azure Portal.

There are different expansions too, for example, a scripting augmentation that permits scripts to be infused into a Linux virtual machine.


For me, scalability is a key advantage of distributed computing. Provisioning limit when required and de-provisioning the limit when didn't really required is a foundation estimation of distributed computing. While virtual machines can absolutely be included the fly with an on-premises server farm, distributed computing for the most part rearranges the procedure while killing the need to keep up the equipment and programming to bolster it. Azure backings virtual machines that naturally scale up or down in view of load, on a calendar or on an impromptu premise. This ability is accessible for Windows and Linux virtual machines as scale sets. Linux scale sets can scale out or in because of essential execution measurements, for example, processor or memory weight. The Linux Azure expansions report fundamental execution information from the virtual machine scale set to Azure and by then the Azure autoscale abilities assume control. The greater part of this is totally straightforward to the workload running on the virtual machine. Once more, the story here is that Linux scale sets are made and work the same as Windows scale sets.


Clearly, Linux virtual machines have the greater part of the security elements of the stage. Past that Microsoft has put and keeps on putting vigorously in security. This isn't some charitable signal with respect to Microsoft. Cloud suppliers need a more elevated amount of security than any other person. On the off chance that there is an information break at a retailer then that retailer will take a hit yet will probably survive on the grounds that information isn't generally their essential thing. On the off chance that there is a noteworthy information rupture in Azure, then Azure is likely dead. In the event that clients don't feel that their venture resources are sheltered in Azure, they are not going to utilize Azure. Microsoft has made it entirely obvious that they don't need Azure dead.

There are two approaches to take a gander at security inside Azure: security executed in the engine and security under your control. In the engine security conforms to a large group of industry affirmations. I'm not a security guy but rather the rundown of Azure security certs just looks truly great to me.

In the event that there are particular security confirmations that you require there is a decent shot that Azure has them, or will soon. You can get an intelligent rundown of Azure security consistence confirmations at

This is only a speedy screen shot of a portion of the present Azure consistence confirmations.

Notwithstanding the physical and information security measures actualized inside Azure itself, you have a few security highlights that can be connected to your Linux workload in Azure:

Organize Security Groups. Organize Security Groups or NSGs go about as firewalls inside Azure virtual systems. NSG standards can limit inbound and outbound movement by source and goal in view of address and port. NSGs can be connected to individual virtual machines or to whole subnets.

Steering Rules. Directing standards permit you to course activity through particular end focuses or addresses in light of source, goal and port. On the off chance that you have your own particular firewalling or review machine you can without much of a stretch arrangement a virtual machine and design directing principles to push movement through the gadget.

Open IP Addresses. Virtual machines keep running in virtual systems. As a matter of course these systems are not accessible to the web. An open IP address is required for any immediate web based access to a virtual machine.

Scrambled virtual hard drives. Virtual hard drives can now be encoded in Azure giving information very still insurance. Linux virtual hard drive encryption utilizes the DM-Crypt highlight and is accessible for virtual hard plates (VHDs) made in Azure or VHDs that were at that point encoded and moved to Azure.

DevOps bolster

For the DevOps in the room, robotization and repeatability are vital. Luckily for Microsoft, there is a developing rundown of abilities that give both. Azure has local support for Chef and Puppet. Azure likewise has its own particular robotization framework that backings PowerShell work processes. Mechanization reaches out into the Linux virtual machines through script infusion and fancied state setup. Wrap that together with a JSON-based explanatory system for making every Azure resource and a REST-based API for every single Azure capacity and there is a solid story for robotization and DevOps.

Take in more

On the off chance that you are keen on adapting more about running Linux work processes on Azure, Global Knowledge has assembled some short, imaginative courses particularly focused to running Linux on Azure. The courses depend on difficulties instead of making you through itemized stride by-step labs. The courses give you expansive objectives and assignments and permit you to actualize your own particular arrangement. The difficulties give you dynamic help as required, from errand definition to exhibits and nitty gritty guidelines for any undertaking you may require more help with. You get the chance to pick how much help you require, and when you finish a test you submit it for audit by a topic master.

Related Courses

  • Linux on Azure: Up and Running

  • Linux on Azure: Security, Scalability and Availability

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