governance

Joe Carlyle

Resource Locks and Policies

When considering production workloads for your Azure environment there are some simple features that ensure the safety of your workloads that are being overlooked. The features I’m referring to are Resource Locks and Resource Manager Policies (RMPs).

Both features allow you greater control over your environment with minimal administrative effort. In my opinion, regardless of whether you are running production workloads or not, you should at the very least be using Locks and RMPs as a preventative method of control over your deployments.

Locks are a very simple and quick tool that can prevent changes to your environment in an instant. They can be applied at different tiers of your environment. Depending on your governance model, you might want to apply at the subscription, resource group or resource level, all are possible. Locks have only two basic operations:

  • CanNotDelete means authorized users can still read and modify a resource, but they can’t delete the resource.
  • ReadOnly means authorised users can read a resource, but they can’t delete or update the resource. Applying this lock is similar to restricting all authorised users to the permissions granted by the Reader role.

Locks obey inheritance, so if you apply at resource group level, all resources contained within will receive the applied lock, the same is true for subscription level assignments.

Of the built-in roles, only Owner and User Access Administrator are granted the ability to apply and remove locks. In general, my recommendation is that all production resources are assigned a CanNotDelete lock. Environments such as UAT where performance etc is being monitored are more suited to a ReadOnly lock to ensure consistent environment results.

RMPs can be used individually or in conjunction with Locks to ensure even more granular control of your environment. RMPs define what you can and cannot do with your environment. For example, all resources created must be located in the European datacentres, or, all resources created must have a defined set of tags applied.

In terms of scope, RMPs can be applied exactly the same as Locks and also obey inheritance. A common scenario here is to apply a policy at subscription level to specify your allowed datacentres, then if you have a traditional IT Resource Group design, specify policies at RG level allowing only specific VM sizes for dev/test to manage cost.

There are many combinations that can be put to use to allow you greater control of your environment. At the end of the day, Azure allows for huge flexibility by design, but it is important for many companies for both security and cost management reasons to be able to exercise a degree of control over that flexibility.

A little tip if you are using both features, make sure you apply a CanNotDelete Lock to your important RMPs!

Joe Carlyle

Windows Update Management

Update management is a necessary evil in the IT world. Some admins enjoy “Patch Tuesday” and for some it’s the most dreaded day of the month. Microsoft have made strides in relieving the stress that can be associated with patching certain core VMs but good management still requires a lot of administration.

Within Azure, every time you deploy a Windows server VM from a Marketplace image, you are getting the latest available patches, but what options do you have should those VMs need to run for an extended period of time? How do you keep them patched so they adhere to company security policies?

Traditionally linking Azure to your existing on-premise solution, or building a WSUS or SCCM implementation were options. Both of these obviously work well but for smaller sites could be considered cumbersome. Now, within Azure itself, making use of some platform objects that you may already be using, you can get a central console view of all of your machine updates.

The two requirements, outside of a VM to manage, are:

  1. Automation Account
  2. Log Analytics Workspace

Both of these implementations are basically free,  (see latest pricing details for limits etc.) and relatively easy to set up separately. However, part of the process for enabling update management can also set these up for you should that be required.

To enable update management for a single VM, open the VM blade and choose the Update Management button from the left action menu, it is part of the Operations section. This will run a validation operation to see if the feature is enabled and assess whether there are automation accounts and log analytics workspaces available. The validation process also checks to see if the VM is provisioned with the Microsoft Monitoring Agent (MMA) and Automation hybrid runbook worker. This agent is used to communicate with the VM and obtain information about the update status. This information is stored in the log analytics workspace.

Once you choose your current available options, or request to have new ones created, the solution takes roughly 15 minutes to enable. Once enabled, you will now see a management page, it will take some time for the live data to be collected from the server, but once that completes, this page will display information regarding the status of updates available/missing. You can click on individual updates for more information. You can also analyse the log search queries that run for checking updates, these can be modified to suit your environment if/as required.

Now that your management pane is displaying what updates are missing, you need to install them. You can schedule the installation of the updates you require from the same management pane. To install updates, schedule a deployment that follows your release schedule and service window. You can choose which update types to include in the deployment. For example, you can include critical or security updates and exclude update rollups. One thing to note that is important, if an update requires a restart the VM will reboot automatically.

The scheduling process is very simple. You choose a name for the deployment, the classification of updates you would like to install, your scheduled time to begin the process of installation and finally a maintenance window to ensure compliance with your defined service windows.

Once the scheduled deployment runs, you can then view its status. Again, this is via the Update Managment blade. This reports on all stages of the deployment from “In Progress” to “Partially Failed” etc. You can then troubleshoot any issues should they arise.

Overall, I really like this solution. It also scales, you can add several machines using the same automation etc. From the Automation Account, you can then access the Update Management blade and manage multiple enabled VMs at once, including scheduling mutli-VM deployments of updates.

While I haven’t covered it here, this solution also works with Linux distributions and can be integrated with SCCM.

More here:

Update Management Overview

Patching Linux

Manage multiple VMs

SCCM Integration

Joe Carlyle

Azure Resource Manager (ARM) Templates

One of the most useful aspects of a platform like Azure is the multitude of deployment options that are available. Which one you use may be down to familiarity, efficiency or sometimes nature of deployment. In this post I will discuss ARM templates which can greatly speed up your deployment cycle.

Infrastructure as Code (IaC) is the management of infrastructure (networks, virtual machines, load balancers, etc.) in a descriptive model. It functions best when using the same versioning that your DevOps team uses for source code. Similar to the principle that the same source code generates the same binary, an IaC model generates the same environment every time it is applied. Therefore, it is very beneficial to reducing deployment times as well as simplifying how resources are deployed.

An ARM template is a JSON file, in its simplest form it must contain the following definitions:

  • schema
  • content version
  • resources

For more deployment options it can also include the following:

  • parameters
  • variables
  • outputs

In general, your templates will include all of the above, this ensures the greatest level of customisation to the deployment as and when needed. Without getting too much into the technicalities of each aspect, the file will contain everything needed to build all the objects you have defined. For example, if the file builds a VM you will define the name, size, NIC used, OS profile and disk options. You have multiple choices within each definition to greater customise your deployment and these definitions can be passed as direct referrals, variables or parameters.

One thing to note, is that while these templates deploy resources via code, they cannot configure the resources. To automate that, you must consider a technology like DSC or Powershell once the template completes deployment.

JSON files are not simple to read, I deliberately haven’t included a sample as they are easier to understand as you build one. The fact that they aren’t simple makes error checking somewhat problematic. Most code editing applications that support ARM plugins will catch basic formatting errors. You can also verify the file via Azure Powershell. If you really want to confirm your template works it is best to test the deployment properly. Ideally, you could make use of a test/dev subscription to minimise costs but once the template completes, you can delete the entire resource group quite quickly.

To best understand how these templates can be of use, start with one of the simple quick start templates from Github, for example, a simple Windows server deployment – https://github.com/Azure/azure-quickstart-templates/tree/master/101-vm-simple-windows

You can then build layer upon layer of code on top of this to increase the complexity of the deployment or use one of the other samples that closer matches your intention.

For more reading, I would recommend starting with understanding the structure and syntax before moving onto the actual templates themselves here.