PowerShell and Python are powerful programming languages with many similarities. While PowerShell is technically a shell scripting language (like Bash), functionally it has a lot more in common with Python, and can be used to generate scripts of equal complexity. As someone with a strong familiarity with PowerShell, I’m finding it useful as I learn Python to reference the equivalent concepts in PowerShell.
I was recently tasked with enabling connectivity to an Azure SQL database via the managed identity of a Logic App and it was surprisingly complicated to setup. In addition we wanted this configuration to be enabled through our automation pipelines, which added a further complexity. This blog post details the steps we had to take.
This blog post is part of the Azure Spring Clean 2025 community event, promoting well-managed Azure tenants. In last year’s Azure Spring Clean, Dan Rios blogged about using PSRule for Bicep code. The focus of this blog post is on how you can use PSRule to validate Azure resources deployed via Terraform by HashiCorp.
There was a recent trend on Twitter/X where people were sharing whether they spent more time tweeting or coding, which you can discover for yourself through this tool. Apparently I spent 61% more time tweeting than coding (in public anyway), and while I was pondering whether or not that was a good thing, Doug Finke came to this excellent conclusion:
I recently migrated some Azure DevOps Classic Release deployment pipelines to YAML. There’s obvious benefits to storing your pipelines as code: they become an artifact in source control that can evolve and change as the code they build or deploy does, and you have the benefits of version history and maintaining the pipelines via pull requests. However I also found that I could use logic and expressions to make the pipelines more efficient and easier to maintain and that through templating could easily connect the pipelines together to form what I humorously dubbed the “super pipeline” (but ...
Should cloud computing be illegal? Probably not, but it is incredibly easy to get started, equally difficult to stop, and before you know it you could be selling your grandmother just to afford one more month of that delicious compute. Hopefully your circumstances never get that dire, but I’ve seen plenty of companies entrench themselves into the highly addictive world of automated, scalable infrastructure, but then struggle to understand the often-astronomical monthly bill.
I’ve recently been working on a PowerShell module for exploring Azure costs and while doing so added some functionality to allow the costs to be converted between different currencies. It occurred to me that this functionality would be useful as a module of its own, and when I searched around I didn’t find too many recent examples for the same. As such I’ve now developed and published a module in the PowerShell Gallery and on GitHub called CurrencyConverter.
A changelog is a useful addition to any project, as it provides users and contributors with a summary of notable changes between each release. One way to ensure you always update your changelog as part of any new release is by making it part of the the automated deployment process. This blog post describes how I’ve implemented changelog driven deployments for the PowerShell modules I maintain in GitHub.
This blog post details a PowerShell Core compatible cmdlet that I have authored named Copy-FileHash that you can use to copy modified files from one path tree to another. The cmdlet determines which files have different contents by calculating their hash values through the Get-FileHash cmdlet. This might be useful if you need to copy just files that have been modified between two paths and aren’t able to rely on the modified date of those files to determine which have changed.
This blog post describes how you can add a code coverage badge to the readme.md of your PowerShell projects in Github as well as have them automatically updated with the current coverage percentage via your Continuous Integration pipeline (if you’ve implemented one).
I recently needed to make a change to the membership of an Active Directory group which was enforced via Puppet. While waiting for the Puppet manifest to apply I used Get-ADGroupMember in PowerShell to check if the change had taken effect. Finding that it had not, I then wrote a crude loop to continually check the group membership until it changed. It occurred to me that this kind of functionality might be useful as a cmdlet and as such I have created Watch-Command. This blog post details how it works as well as some inventive but controversial design decisions I made.
PowerShell Core is the cross-platform version of PowerShell that runs on Windows, Mac and Linux. If you are not familar with it, check out my previous blog post on the topic. It’s likely that PowerShell Core will see more regular releases than we’ve had historically with Windows PowerShell. While you will be able to download the .msi installer for these releases to update your version, this blog post covers how can use the Windows package management tool Chocolatey to manage your upgrades instead.
This blog post describes how you can use the open source tools Influx and Grafana along with a PowerShell module I’ve authored on Windows to create and populate interactive metric and monitoring dashboards like this one:
This post contains a PowerShell tool-making scorecard: a series of short questions to assess whether your custom cmdlet/function/tool is following some (generally considered) best practice design choices.
PowerShell now comes in two flavours, (Vanilla) Windows PowerShell and PowerShell Core (..Rocky Road? ice cream flavour TBD). PowerShell Core is a version of PowerShell built on top of .NET Core. The GA version of PowerShell Core is due to be released on the 10th January and Release Candidate versions have been available for some time.
I was recently tasked with investigating how we could store the configuration of our SQL Server Reporting Services report subscriptions in a source control and then automate the process of (later) configuring them in one or more new SSRS servers.
This is the fourth and final part of a short series of posts about things I discovered by reading the excellent Learn PowerShell in a Month of Lunches book (recently released in 3rd edition) as a not quite beginner.
This is part three of a short series of posts about things I discovered from reading Learn PowerShell in a Month of Lunches (recently released in 3rd edition).
This is part two of a short series of posts about things I discovered or had clarified by reading the excellent Learn PowerShell in a Month of Lunches book (recently released in 3rd edition).
As introduced in my previous post, this is part one of a four part series that documents some things I discovered or had clarified by reading the excellent Learn PowerShell in a Month of Lunches book (recently released in 3rd edition).
I got started with PowerShell thanks to the encouragement and enthusiasm of a friend and former colleague. Following that, I’ve largely developed my knowledge through the standard combinations of trial + error + googling and more recently (as is evident) by doing my best to engage with and give back to the community.
While experimenting with AppVeyor to add Continuous Integration to my PowerShell projects (more detailed blog post to follow) I encountered a bug that meant that the Pester test results (uploaded via the NUnit formatted results file) were not appearing in the “Tests” tab of my AppVeyor project.
While developing a PowerShell function to query the API of the webcomic XKCD I decided to explore and implement Parameter Sets. These allow you to provide your users with different sets of parameters based on different use cases (assuming you have multiple use cases), which as a result provides a more dynamic set of functionality from a single cmdlet.
This post details how PowerShell can be used to run a custom Slack Bot that utilises the Slack RTM (Real Time Messaging) API.
In my previous post I talked about creating a Powershell function to lookup terms in a large internal glossary I had collated. This post takes this a step further and creates a custom slash command integration in a Slack chatroom that calls out to a Powershell-based Azure Function to query my (now) Azure hosted glossary.
I’ve recently started a new role and as a result I have a lot of new business terms and acronyms to get to grips with. A list of about 50 of these were handed to me on my first day which was really helpful, but when I searched around the intranet and various other sources of documentation I found there were many more.
This post contains an operational validation test for Symantec Endpoint Protection (SEP) using the Pester testing framework module with Powershell. It performs a few basic checks to ensure SEP is running and healthy. It is intended as a starting point and could be developed further. Your individual requirements will likely vary depending on how you have SEP configured and deployed in your environment.
This post is a list of resources and tips to help anyone new to Windows Powershell in getting started with the language. If Powershell is completely new to you, I recommend you review all of the listed resources. If you find other great resources along the way, please feel free to comment below and i’ll contribute them to this list.
One of our AWS based products uses auto-scaling and when new instances are deployed a script automatically creates sensors for them in PRTG (our monitoring tool). When the instances are scaled down/terminated there is not a script that automatically removes them from PRTG (in part so that we can temporarily retain the monitoring history). As a result, our monitoring over time can become cluttered with redundant paused devices, so a script was needed to automate the process of clearing those down.
Powershell version 4 and Windows 8.1 / 2012 R2 introduced the Test-NetConnection command as a tool for performing network connectivity tests with Powershell. Test-NetConnection allows you to perform ping, traceroute and TCP port tests and from Windows 10 and Server 2016 onward introduces the ability to do “Diagnose Routing” tests with the same cmdlet.
I like my scripts to give feedback to the console to demonstrate progress where possible and Powershell provides a number of cmdlets to do this, one of which is Write-Progress.
If you’re looking for a way to interrogate multiple HTTP Transaction Sensors in your PRTG monitoring installation using a script then this blog post is for you.
The following script can be used to get the current uptime from a collection of servers in Active Directory using WMI. I used it as a way to audit our estate, keen to understand how long servers have been operational for, in part to identify those which were potentially not routinely receiving Windows Updates.
Irwin Strachan published a Pester script for Operational Testing of Active Directory back in April which I was keen to try out. Afterwards I extended the script to add some additional health checks of Active Directory and this post explains how the resultant combination of our work can be used to validate your Active Directory.
Recently while writing a script I expected two commands I was calling to throw exceptions because I expected my script to be unable to remotely connect to some of my servers. Initially I handled the result of these exceptions with If..Else blocks, but it felt like a Try..Catch might be more appropriate.
The phrase “automate yourself out of a job” is too easily misinterpreted as a negative. Without any context it’s possible to view it as to mean you shouldn’t automate things. If you do you’ll end up unemployed or could make others unemployed. In IT at least, this is unlikely to be true. Powershell is 10 years old later this year and if you’re not using it, here’s why you should.
Boe Prox blogged/tweeted recently about how you can start a stopwatch in PowerShell with one line using the command [System.Diagnostics.Stopwatch]::StartNew(). While there are plenty of other ways to measure time in PowerShell (e.g measure-object, new-timespan), I could see an adhoc stopwatch being useful on occasion. However the raw class name is a bit clunky and forgettable. Therefore as a bit of fun I have created it as a series of functions in my PowerShell Profile.ps1 with friendly names I could call when needed.
In Powershell the Import-Module cmdlet allows you to extend the cmdlets available to you within your script or console. This can be official extensions, such as the activedirectory module that is included with AD Tools, or custom modules you have written yourself to group together a useful set of functions or commands. This post briefly covers a few tricks i’ve discovered about import-module that i’ve found repeatedly useful.
I have previously blogged about how you can use Influx, Grafana and PowerShell to build and populate metrics dashboards for visualising data from multiple sources. This blog post details how you can use Terraform to quickly and easily deploy Grafana and Influx on a Windows instance in AWS as a proof of concept implementation of these tools.
This blog post describes how you can use the open source tools Influx and Grafana along with a PowerShell module I’ve authored on Windows to create and populate interactive metric and monitoring dashboards like this one:
This post explores the Puppet topics of Classes, Roles and Profiles as well as how to utilise Puppet Template files. The class keyword is a key Puppet building block. There are various different ways to utilise the class keyword and these are explored below.
This blog post explores the topic of Puppet Modules for packaging and sharing code. It also looks at how you can use Puppet’s public module repository Forge to find existing modules and how you can use the r10k module management tool to update, manage and maintain them on your machines.
This post is a continuation of my earlier Getting Started with Puppet on Windows post (although most of the information in this post is OS agnostic). This post explores how you can make your Puppet manifests more dynamic via the typical programming constructs of variables, expressions, conditions and iteration. It also covers Puppet’s Facter tool (for simplifying the interrogation of system info) and Hiera mechanism (for separating configuration data from your code).
This blog post describes some initial steps you can take to learn Puppet, particularly to control Windows machines. I’m currently learning Puppet via the Puppet 5 Beginners Guide (Third Edition) book by John Arundel.
PowerShell now comes in two flavours, (Vanilla) Windows PowerShell and PowerShell Core (..Rocky Road? ice cream flavour TBD). PowerShell Core is a version of PowerShell built on top of .NET Core. The GA version of PowerShell Core is due to be released on the 10th January and Release Candidate versions have been available for some time.
I recently resolved an issue with our Isilon storage cluster that was causing file writes to be interrupted and fail. While diagnosing the issue I discovered that (intriguingly) the disruption was occurring at (almost) exact 10 minute intervals. Any in progress write operation occurring at that interval would fail.
I’m just starting to get my head around the concept of Containers and as such decided to take Windows Server 2016 Technical Preview 5 for a spin, which includes Docker Containers as a feature. It’s potentially worth being more explicit here (for anyone not aware) that this isn’t Microsoft’s version of Containers, this is actually Docker baked in to Server 2016. That’s a pretty cool move on Microsoft’s part.
Previously I covered performing the installation of Windows Server 2016 Technical Preview 5 in to a desktop VM with the Desktop Experience (GUI) mode enabled. This post covers the installation of the GUI-less Server Core mode and subsequently how to manage and maintain it.
On the 27th of April 2016 Microsoft released Technical Preview 5 of Windows Server 2016. I was keen to see the new version in action, particularly since attending a talk recently on Windows Containers, which have been a feature available for testing since TP3. I am going to explore Containers in a later post, but here i’m going to cover how I chose to get the OS up and running, as when I came to do it I struggled to find a recommendation on where to test it. 1. Choose a Hypervisor
I was recently tasked with enabling connectivity to an Azure SQL database via the managed identity of a Logic App and it was surprisingly complicated to setup. In addition we wanted this configuration to be enabled through our automation pipelines, which added a further complexity. This blog post details the steps we had to take.
This blog post is part of the Azure Spring Clean 2025 community event, promoting well-managed Azure tenants. In last year’s Azure Spring Clean, Dan Rios blogged about using PSRule for Bicep code. The focus of this blog post is on how you can use PSRule to validate Azure resources deployed via Terraform by HashiCorp.
I recently migrated some Azure DevOps Classic Release deployment pipelines to YAML. There’s obvious benefits to storing your pipelines as code: they become an artifact in source control that can evolve and change as the code they build or deploy does, and you have the benefits of version history and maintaining the pipelines via pull requests. However I also found that I could use logic and expressions to make the pipelines more efficient and easier to maintain and that through templating could easily connect the pipelines together to form what I humorously dubbed the “super pipeline” (but ...
Should cloud computing be illegal? Probably not, but it is incredibly easy to get started, equally difficult to stop, and before you know it you could be selling your grandmother just to afford one more month of that delicious compute. Hopefully your circumstances never get that dire, but I’ve seen plenty of companies entrench themselves into the highly addictive world of automated, scalable infrastructure, but then struggle to understand the often-astronomical monthly bill.
I recently implemented a new Azure Application Gateway and was interested to chart the connections through it per hour, grouped by HTTP Response Code. My initial attempt was this query:
I have recently added tasks in to our Azure DevOps ARM template deployment pipeline to run the new -WhatIf parameter on the New-AzResourceGroupDeployment to preview the changes an ARM deployment will make, per this guide:
Last week I spent a day troubleshooting an ARM (Azure Resource Manager) template deployment error that was frustratingly vague. A Load Balancer resource in the template was returning a result of “conflict” and the following error:
I have previously blogged about how you can use Influx, Grafana and PowerShell to build and populate metrics dashboards for visualising data from multiple sources. This blog post details how you can use Terraform to quickly and easily deploy Grafana and Influx on a Windows instance in AWS as a proof of concept implementation of these tools.
In my previous post I talked about creating a Powershell function to lookup terms in a large internal glossary I had collated. This post takes this a step further and creates a custom slash command integration in a Slack chatroom that calls out to a Powershell-based Azure Function to query my (now) Azure hosted glossary.
PowerShell and Python are powerful programming languages with many similarities. While PowerShell is technically a shell scripting language (like Bash), functionally it has a lot more in common with Python, and can be used to generate scripts of equal complexity. As someone with a strong familiarity with PowerShell, I’m finding it useful as I learn Python to reference the equivalent concepts in PowerShell.
I have previously blogged about how you can use Influx, Grafana and PowerShell to build and populate metrics dashboards for visualising data from multiple sources. This blog post details how you can use Terraform to quickly and easily deploy Grafana and Influx on a Windows instance in AWS as a proof of concept implementation of these tools.
This blog post describes how you can add a code coverage badge to the readme.md of your PowerShell projects in Github as well as have them automatically updated with the current coverage percentage via your Continuous Integration pipeline (if you’ve implemented one).
I was recently tasked with investigating how we could store the configuration of our SQL Server Reporting Services report subscriptions in a source control and then automate the process of (later) configuring them in one or more new SSRS servers.
The phrase “automate yourself out of a job” is too easily misinterpreted as a negative. Without any context it’s possible to view it as to mean you shouldn’t automate things. If you do you’ll end up unemployed or could make others unemployed. In IT at least, this is unlikely to be true. Powershell is 10 years old later this year and if you’re not using it, here’s why you should.
I have previously blogged about how you can use Influx, Grafana and PowerShell to build and populate metrics dashboards for visualising data from multiple sources. This blog post details how you can use Terraform to quickly and easily deploy Grafana and Influx on a Windows instance in AWS as a proof of concept implementation of these tools.
I’m just starting to get my head around the concept of Containers and as such decided to take Windows Server 2016 Technical Preview 5 for a spin, which includes Docker Containers as a feature. It’s potentially worth being more explicit here (for anyone not aware) that this isn’t Microsoft’s version of Containers, this is actually Docker baked in to Server 2016. That’s a pretty cool move on Microsoft’s part.
Previously I covered performing the installation of Windows Server 2016 Technical Preview 5 in to a desktop VM with the Desktop Experience (GUI) mode enabled. This post covers the installation of the GUI-less Server Core mode and subsequently how to manage and maintain it.
On the 27th of April 2016 Microsoft released Technical Preview 5 of Windows Server 2016. I was keen to see the new version in action, particularly since attending a talk recently on Windows Containers, which have been a feature available for testing since TP3. I am going to explore Containers in a later post, but here i’m going to cover how I chose to get the OS up and running, as when I came to do it I struggled to find a recommendation on where to test it. 1. Choose a Hypervisor
This blog post describes how you can add a code coverage badge to the readme.md of your PowerShell projects in Github as well as have them automatically updated with the current coverage percentage via your Continuous Integration pipeline (if you’ve implemented one).
While experimenting with AppVeyor to add Continuous Integration to my PowerShell projects (more detailed blog post to follow) I encountered a bug that meant that the Pester test results (uploaded via the NUnit formatted results file) were not appearing in the “Tests” tab of my AppVeyor project.
This post contains an operational validation test for Symantec Endpoint Protection (SEP) using the Pester testing framework module with Powershell. It performs a few basic checks to ensure SEP is running and healthy. It is intended as a starting point and could be developed further. Your individual requirements will likely vary depending on how you have SEP configured and deployed in your environment.
Irwin Strachan published a Pester script for Operational Testing of Active Directory back in April which I was keen to try out. Afterwards I extended the script to add some additional health checks of Active Directory and this post explains how the resultant combination of our work can be used to validate your Active Directory.
This post explores the Puppet topics of Classes, Roles and Profiles as well as how to utilise Puppet Template files. The class keyword is a key Puppet building block. There are various different ways to utilise the class keyword and these are explored below.
This blog post explores the topic of Puppet Modules for packaging and sharing code. It also looks at how you can use Puppet’s public module repository Forge to find existing modules and how you can use the r10k module management tool to update, manage and maintain them on your machines.
This post is a continuation of my earlier Getting Started with Puppet on Windows post (although most of the information in this post is OS agnostic). This post explores how you can make your Puppet manifests more dynamic via the typical programming constructs of variables, expressions, conditions and iteration. It also covers Puppet’s Facter tool (for simplifying the interrogation of system info) and Hiera mechanism (for separating configuration data from your code).
This blog post describes some initial steps you can take to learn Puppet, particularly to control Windows machines. I’m currently learning Puppet via the Puppet 5 Beginners Guide (Third Edition) book by John Arundel.
I was recently tasked with enabling connectivity to an Azure SQL database via the managed identity of a Logic App and it was surprisingly complicated to setup. In addition we wanted this configuration to be enabled through our automation pipelines, which added a further complexity. This blog post details the steps we had to take.
This blog post is part of the Azure Spring Clean 2025 community event, promoting well-managed Azure tenants. In last year’s Azure Spring Clean, Dan Rios blogged about using PSRule for Bicep code. The focus of this blog post is on how you can use PSRule to validate Azure resources deployed via Terraform by HashiCorp.
I recently migrated some Azure DevOps Classic Release deployment pipelines to YAML. There’s obvious benefits to storing your pipelines as code: they become an artifact in source control that can evolve and change as the code they build or deploy does, and you have the benefits of version history and maintaining the pipelines via pull requests. However I also found that I could use logic and expressions to make the pipelines more efficient and easier to maintain and that through templating could easily connect the pipelines together to form what I humorously dubbed the “super pipeline” (but ...
A changelog is a useful addition to any project, as it provides users and contributors with a summary of notable changes between each release. One way to ensure you always update your changelog as part of any new release is by making it part of the the automated deployment process. This blog post describes how I’ve implemented changelog driven deployments for the PowerShell modules I maintain in GitHub.
I have recently added tasks in to our Azure DevOps ARM template deployment pipeline to run the new -WhatIf parameter on the New-AzResourceGroupDeployment to preview the changes an ARM deployment will make, per this guide:
Last week I spent a day troubleshooting an ARM (Azure Resource Manager) template deployment error that was frustratingly vague. A Load Balancer resource in the template was returning a result of “conflict” and the following error:
I recently resolved an issue with our Isilon storage cluster that was causing file writes to be interrupted and fail. While diagnosing the issue I discovered that (intriguingly) the disruption was occurring at (almost) exact 10 minute intervals. Any in progress write operation occurring at that interval would fail.
There was a recent trend on Twitter/X where people were sharing whether they spent more time tweeting or coding, which you can discover for yourself through this tool. Apparently I spent 61% more time tweeting than coding (in public anyway), and while I was pondering whether or not that was a good thing, Doug Finke came to this excellent conclusion:
Should cloud computing be illegal? Probably not, but it is incredibly easy to get started, equally difficult to stop, and before you know it you could be selling your grandmother just to afford one more month of that delicious compute. Hopefully your circumstances never get that dire, but I’ve seen plenty of companies entrench themselves into the highly addictive world of automated, scalable infrastructure, but then struggle to understand the often-astronomical monthly bill.
I’ve recently been working on a PowerShell module for exploring Azure costs and while doing so added some functionality to allow the costs to be converted between different currencies. It occurred to me that this functionality would be useful as a module of its own, and when I searched around I didn’t find too many recent examples for the same. As such I’ve now developed and published a module in the PowerShell Gallery and on GitHub called CurrencyConverter.
I was recently tasked with enabling connectivity to an Azure SQL database via the managed identity of a Logic App and it was surprisingly complicated to setup. In addition we wanted this configuration to be enabled through our automation pipelines, which added a further complexity. This blog post details the steps we had to take.
This blog post is part of the Azure Spring Clean 2025 community event, promoting well-managed Azure tenants. In last year’s Azure Spring Clean, Dan Rios blogged about using PSRule for Bicep code. The focus of this blog post is on how you can use PSRule to validate Azure resources deployed via Terraform by HashiCorp.
I recently migrated some Azure DevOps Classic Release deployment pipelines to YAML. There’s obvious benefits to storing your pipelines as code: they become an artifact in source control that can evolve and change as the code they build or deploy does, and you have the benefits of version history and maintaining the pipelines via pull requests. However I also found that I could use logic and expressions to make the pipelines more efficient and easier to maintain and that through templating could easily connect the pipelines together to form what I humorously dubbed the “super pipeline” (but ...
One of our AWS based products uses auto-scaling and when new instances are deployed a script automatically creates sensors for them in PRTG (our monitoring tool). When the instances are scaled down/terminated there is not a script that automatically removes them from PRTG (in part so that we can temporarily retain the monitoring history). As a result, our monitoring over time can become cluttered with redundant paused devices, so a script was needed to automate the process of clearing those down.
If you’re looking for a way to interrogate multiple HTTP Transaction Sensors in your PRTG monitoring installation using a script then this blog post is for you.
This post details how PowerShell can be used to run a custom Slack Bot that utilises the Slack RTM (Real Time Messaging) API.
In my previous post I talked about creating a Powershell function to lookup terms in a large internal glossary I had collated. This post takes this a step further and creates a custom slash command integration in a Slack chatroom that calls out to a Powershell-based Azure Function to query my (now) Azure hosted glossary.
This blog post describes how you can add a code coverage badge to the readme.md of your PowerShell projects in Github as well as have them automatically updated with the current coverage percentage via your Continuous Integration pipeline (if you’ve implemented one).
While experimenting with AppVeyor to add Continuous Integration to my PowerShell projects (more detailed blog post to follow) I encountered a bug that meant that the Pester test results (uploaded via the NUnit formatted results file) were not appearing in the “Tests” tab of my AppVeyor project.
I have previously blogged about how you can use Influx, Grafana and PowerShell to build and populate metrics dashboards for visualising data from multiple sources. This blog post details how you can use Terraform to quickly and easily deploy Grafana and Influx on a Windows instance in AWS as a proof of concept implementation of these tools.
This blog post describes how you can use the open source tools Influx and Grafana along with a PowerShell module I’ve authored on Windows to create and populate interactive metric and monitoring dashboards like this one:
I have previously blogged about how you can use Influx, Grafana and PowerShell to build and populate metrics dashboards for visualising data from multiple sources. This blog post details how you can use Terraform to quickly and easily deploy Grafana and Influx on a Windows instance in AWS as a proof of concept implementation of these tools.
This blog post describes how you can use the open source tools Influx and Grafana along with a PowerShell module I’ve authored on Windows to create and populate interactive metric and monitoring dashboards like this one:
I have previously blogged about how you can use Influx, Grafana and PowerShell to build and populate metrics dashboards for visualising data from multiple sources. This blog post details how you can use Terraform to quickly and easily deploy Grafana and Influx on a Windows instance in AWS as a proof of concept implementation of these tools.
This blog post describes how you can use the open source tools Influx and Grafana along with a PowerShell module I’ve authored on Windows to create and populate interactive metric and monitoring dashboards like this one:
This blog post is part of the Azure Spring Clean 2025 community event, promoting well-managed Azure tenants. In last year’s Azure Spring Clean, Dan Rios blogged about using PSRule for Bicep code. The focus of this blog post is on how you can use PSRule to validate Azure resources deployed via Terraform by HashiCorp.
I have previously blogged about how you can use Influx, Grafana and PowerShell to build and populate metrics dashboards for visualising data from multiple sources. This blog post details how you can use Terraform to quickly and easily deploy Grafana and Influx on a Windows instance in AWS as a proof of concept implementation of these tools.
I have recently added tasks in to our Azure DevOps ARM template deployment pipeline to run the new -WhatIf parameter on the New-AzResourceGroupDeployment to preview the changes an ARM deployment will make, per this guide:
Last week I spent a day troubleshooting an ARM (Azure Resource Manager) template deployment error that was frustratingly vague. A Load Balancer resource in the template was returning a result of “conflict” and the following error:
There was a recent trend on Twitter/X where people were sharing whether they spent more time tweeting or coding, which you can discover for yourself through this tool. Apparently I spent 61% more time tweeting than coding (in public anyway), and while I was pondering whether or not that was a good thing, Doug Finke came to this excellent conclusion:
A changelog is a useful addition to any project, as it provides users and contributors with a summary of notable changes between each release. One way to ensure you always update your changelog as part of any new release is by making it part of the the automated deployment process. This blog post describes how I’ve implemented changelog driven deployments for the PowerShell modules I maintain in GitHub.
A colleague and I recently implemented an improvement to our CloudFormation scripts which enabled the Auto Scaling Group to launch instances across more than one Availability Zone. This blog post documents the changes we made.
I’m just starting to get my head around the concept of Containers and as such decided to take Windows Server 2016 Technical Preview 5 for a spin, which includes Docker Containers as a feature. It’s potentially worth being more explicit here (for anyone not aware) that this isn’t Microsoft’s version of Containers, this is actually Docker baked in to Server 2016. That’s a pretty cool move on Microsoft’s part.
I’m just starting to get my head around the concept of Containers and as such decided to take Windows Server 2016 Technical Preview 5 for a spin, which includes Docker Containers as a feature. It’s potentially worth being more explicit here (for anyone not aware) that this isn’t Microsoft’s version of Containers, this is actually Docker baked in to Server 2016. That’s a pretty cool move on Microsoft’s part.
My team has an ever-growing collection of administration scripts and tools which are organised and maintained within a number of Git repositories. In order to ensure that the copies of these scripts in production always reflect the Master branch in Source Control we set up a Chef cookbook to synchronise the repositories to a network share in the environment. This post details how this functionality was developed and deployed.
I was recently tasked with investigating how we could store the configuration of our SQL Server Reporting Services report subscriptions in a source control and then automate the process of (later) configuring them in one or more new SSRS servers.
I recently resolved an issue with our Isilon storage cluster that was causing file writes to be interrupted and fail. While diagnosing the issue I discovered that (intriguingly) the disruption was occurring at (almost) exact 10 minute intervals. Any in progress write operation occurring at that interval would fail.
PowerShell Core is the cross-platform version of PowerShell that runs on Windows, Mac and Linux. If you are not familar with it, check out my previous blog post on the topic. It’s likely that PowerShell Core will see more regular releases than we’ve had historically with Windows PowerShell. While you will be able to download the .msi installer for these releases to update your version, this blog post covers how can use the Windows package management tool Chocolatey to manage your upgrades instead.
Last week I spent a day troubleshooting an ARM (Azure Resource Manager) template deployment error that was frustratingly vague. A Load Balancer resource in the template was returning a result of “conflict” and the following error:
Last week I spent a day troubleshooting an ARM (Azure Resource Manager) template deployment error that was frustratingly vague. A Load Balancer resource in the template was returning a result of “conflict” and the following error:
A changelog is a useful addition to any project, as it provides users and contributors with a summary of notable changes between each release. One way to ensure you always update your changelog as part of any new release is by making it part of the the automated deployment process. This blog post describes how I’ve implemented changelog driven deployments for the PowerShell modules I maintain in GitHub.
I recently implemented a new Azure Application Gateway and was interested to chart the connections through it per hour, grouped by HTTP Response Code. My initial attempt was this query:
I recently implemented a new Azure Application Gateway and was interested to chart the connections through it per hour, grouped by HTTP Response Code. My initial attempt was this query:
I’ve recently been working on a PowerShell module for exploring Azure costs and while doing so added some functionality to allow the costs to be converted between different currencies. It occurred to me that this functionality would be useful as a module of its own, and when I searched around I didn’t find too many recent examples for the same. As such I’ve now developed and published a module in the PowerShell Gallery and on GitHub called CurrencyConverter.
I’ve recently been working on a PowerShell module for exploring Azure costs and while doing so added some functionality to allow the costs to be converted between different currencies. It occurred to me that this functionality would be useful as a module of its own, and when I searched around I didn’t find too many recent examples for the same. As such I’ve now developed and published a module in the PowerShell Gallery and on GitHub called CurrencyConverter.
Should cloud computing be illegal? Probably not, but it is incredibly easy to get started, equally difficult to stop, and before you know it you could be selling your grandmother just to afford one more month of that delicious compute. Hopefully your circumstances never get that dire, but I’ve seen plenty of companies entrench themselves into the highly addictive world of automated, scalable infrastructure, but then struggle to understand the often-astronomical monthly bill.
Should cloud computing be illegal? Probably not, but it is incredibly easy to get started, equally difficult to stop, and before you know it you could be selling your grandmother just to afford one more month of that delicious compute. Hopefully your circumstances never get that dire, but I’ve seen plenty of companies entrench themselves into the highly addictive world of automated, scalable infrastructure, but then struggle to understand the often-astronomical monthly bill.
Should cloud computing be illegal? Probably not, but it is incredibly easy to get started, equally difficult to stop, and before you know it you could be selling your grandmother just to afford one more month of that delicious compute. Hopefully your circumstances never get that dire, but I’ve seen plenty of companies entrench themselves into the highly addictive world of automated, scalable infrastructure, but then struggle to understand the often-astronomical monthly bill.
I recently migrated some Azure DevOps Classic Release deployment pipelines to YAML. There’s obvious benefits to storing your pipelines as code: they become an artifact in source control that can evolve and change as the code they build or deploy does, and you have the benefits of version history and maintaining the pipelines via pull requests. However I also found that I could use logic and expressions to make the pipelines more efficient and easier to maintain and that through templating could easily connect the pipelines together to form what I humorously dubbed the “super pipeline” (but ...
This blog post is part of the Azure Spring Clean 2025 community event, promoting well-managed Azure tenants. In last year’s Azure Spring Clean, Dan Rios blogged about using PSRule for Bicep code. The focus of this blog post is on how you can use PSRule to validate Azure resources deployed via Terraform by HashiCorp.
I was recently tasked with enabling connectivity to an Azure SQL database via the managed identity of a Logic App and it was surprisingly complicated to setup. In addition we wanted this configuration to be enabled through our automation pipelines, which added a further complexity. This blog post details the steps we had to take.
PowerShell and Python are powerful programming languages with many similarities. While PowerShell is technically a shell scripting language (like Bash), functionally it has a lot more in common with Python, and can be used to generate scripts of equal complexity. As someone with a strong familiarity with PowerShell, I’m finding it useful as I learn Python to reference the equivalent concepts in PowerShell.