How To Develop Apps Like PUBG (Apoorv Gehlot) - An interesting article that gives us an idea of how a game like pugs got that success, and who they manage that rapid growth.
It's so nice to be able to add some serverless components in our solution to make them better in a snap. But how do we manage them? In this post, I will explain how to create an Azure resource manager (ARM) template to deploy any Azure Function and show how I used this structure to deploy an open-source project I've been working on these days.
Part 1 - The ARM template
An ARM template is a JSON file that describes our architecture. To deploy an Azure Function we need at least three recourses: a functionApp, a service plan, and a storage account.
The FunctionApp is, of course, our function. The service plan could be set as dynamic or describe the type of resource that will be used by your function. The storage account is where is our code.
In the previous image, you can see how those components interact more with each other. Inside the Function, we will have a list of properties. One of those properties will be the Runtime, for example, in the AZUnzipEverything demo, it will be dotnet. Another property will be the connection string to our storage account that is also part of our ARM template. Since that resource doesn't exist yet, we will need to use the dynamic code.
The Function node will contain a sub-resource of type storageAccount. This is where we will specify where is our code, so it cant be clone to Azure.
Building ARM for a Simple Function
Let's see a template for a simple Azure Function that doesn't require any dependency, and we will examine it after.
The first resources listed in the template is the Account Storage. There nothing specific about it.
The Service Plan
The service plan is the second resource in the list. It's important to notice that to be able to use the SKU Dynamic you will need at least the API version of apiVersion to be "2018-02-01". Then you specify the SKU.
"sku": {
"name": "Y1",
"tier": "Dynamic"
}
Of course, you can use the other SKU if you prefer.
The Function App
Final resources added to the mixt, and this is where all the pieces are getting together. It's important to notice that the other in which the resources are listed are not considered by Azure while deploying (it's only for us ;) ). To let Azure knows you need to add dependencies.
This way the Azure Function will be created after the service plan and the storage account are available. Then in the properties we will be able to build the ConnectionString to the blob storage using a reference.
The last piece of the puzzle is the sub-resource sourcecontrol inside the FunctionApp. This will define where Azure should clone the code from and in which branch.
To be sure that everything is fully automatic the properties publishRunbook and IsManualIntegration must be set as true. Otherwise, you will need to do a synchronization between your Git (in this case on GitHub), and the Git in Azure.
Of course, all the source code of both the Azure Function and the ARM template are available on GitHub, but let me highlight how the containers are defined from an ARM template.
Just like with sourcecontrol, we will need to add a list of sub-resources to our storage account. The name MUST start by 'default/'.
Part 2 - Four Deployment Options
Now that we have a template that describes our needs we just need to deploy it. There are multiple ways it could be done, but let's see four of them.
Deploy from the Azure Portal
Navigate to the Azure Portal (https://azure.portal.com), from your favorite browser and search for "deploy a custom template" directly in the search bar located at the top of the screen (in the middle). Or go at https://portal.azure.com/#create/Microsoft.Template. One in the Custom deployment page, click on the link Build your own template in the editor. From there, you can copy-paste or upload your ARM template. You need to save it to see the real deployment form.
Deploy with a script
Would it be in PowerShell or in Azure CLI you can easily deploy your template with these two commands.
In Azure CLI
# create resource group
az group create -n AzUnzipEverything -l eastus
# deploy it
az group deployment create -n cloud5mins -g AzUnzipEverything --template-file "deployment\deployAzure.json" --parameters "deployment\deployAzure.parameters.json"
In PowerShell
# create resource group
New-AzResourceGroup -Name AzUnzipEverything -Location eastus
# deploy it
New-AzResourceGroupDeployment -ResourceGroupName AzUnzipEverything -TemplateFile deployment\deployAzure.json
Deploy to Azure Button
One of the best way to help people to deploy your solution in their Azure subscription is the Deploy to Azure Button.
You need to create an image link (in HTML or Markdown) to this to a special destination build in two-part.
However, this URL needs to be encoded. There is plenty of encoders online, but you can also do it from the terminal with the following command (A big thanks to @BrettMiller_IT who showed me this trick during one of my live streams).
Clicking the button will bring the user at the same page on the Azure Portal but in the user subscription.
Azure DevOps Pipeline
From the Azure DevOps portal (https://dev.azure.com), select your project and create a new Release Pipeline. Click on the + Add an artifact button to connect your Git repository.
Once it's added, you need to add a task the current job. Click on the link 1 job, 0 task (4). Now you just need to specify your Azure subscription, the name of the resource group and select the location of your ARM template inside your repository. To make the deployment automatic with each push in the repository, click that little lightning bolt and enable the Continuous deployment trigger.
Wrapping-up
Voila, you know have four different ways to deploy your Azure Function automatically. But don't take my word for it, try it yourself! If you need more details you can visit the project on GitHub or watch this video where I demo the content of this post.
I recently presented, a workshop at the TOHack to get started with Azure. The goal was to try different Azure services, and see how we could augment an existing website using serverless function and artificial intelligence. (Aussi disponible en français)
During this workshop, a website is deployed automatically from GitHub. Then by adding an Azure Function and using the Vision API of Azure Cognitive Services, the final solution is able to detect when uploaded pictures are or not dogs and keep our image folder "clean". We call that application: The automatic Not a Dog application.
The step by step instruction with the code can be found on GitHub - Not-a-Dog-Workshop. The workshop can be done in about 45-60 minutes.
I also did a video that is available on my YouTube channel:
You have questions, you are blocked, it will be a pleasure to help you.
Docker from the beginning — part III (Chris Noring) - Third of this docker series. I like how it is not only a happy path but the learning path with the fails and victories.
Improve your Dockerfile, best practices (Chris Noring) - A nice quick post about some really easy best practices. It's so simple why would you not follow them.
Introducing Windows Terminal (Kayla Cinnamon) - The awesome new terminal with a kickass look. Even more, it's an open source project!
Atomic Habits: An Easy & Proven Way to Build Good Habits & Break Bad Ones (James Clear) - An excellent book that is very pleasant to read. I really appreciated the way things are broken in tiny pieces. I don't think this book re-invented the molecular physic, but by cutting, dissecting our habits that way it's hard to think that you can fail. It's easier to get started right now; even starting new habits before finishing the book!
Azure Functions using Node with Simona Cotin (.NET Rocks!) - Great show. I just switch my website following that Jam stack pattern. I was planning to use Azure Functions to add a few little twists.... I'm happy to see that I not alone thinking like that!
0230 - Alain Vezina - Le métier du DevOps (Visual Studio Talk Show) - Super épisode, très intéressant d'entendre parler du rôle de DevOps de quelqu'un qui le vie au quotidien. Merci de la suggestion, je crois, bien que je suis du pour relire The Pheonix Project.
Goal Setting Tips & Tracking KPIs (Video Pursuit Podcast) - Really interesting episode. Everybody is talking about matrix and KPI... But it's not frequent to hear about the "how". I really like how the goals are explained, achievable, but not easy... And how we should react when we don't reach them.
Static websites are lightning fast, and running them inside an Azure Blob Storage instead of a WebApp is incredibly economical (less than $1/ month). Does it mean you need to do everything manually? Absolutely not! In a previous post I explained how to automatically generated your static website using a Build Pipeline inside Azure DevOps. In this post, let's complete the CI-CD by creating a Release Pipeline to deploy it.
The Azure Resource Manager (ARM) Template
First thing first. If we want our release pipeline to deploy our website in Azure, we need first to be sure our Resources are available "up there." The best way to do this is by using an Azure Resource Manager (ARM template). I will use the same project started in the previous post, feel free to adapt to your structure or copy it from it.
Create a new file named deploy.json in the deployment folder. We need a simple storage account.
I used a parameter (StorageName) to define the name of the storage account. This way I could have multiple pipelines deploying in different storages.
Not to make the ARM template accessible to the release pipeline we also need to publish it. The easiest way to do it is to add another Copyfile task in our azure-pipeline. Add this task just before the PublishBuildArtifacts.
Once you commit and push these changes, it will trigger a build. When done, the ARM template will be available, and we will be able to start working on the release pipeline.
The Release Pipeline
Navigate to the DevOps project created in the previous post. This time, create a new Release Pipeline. When asked, select an empty template, we will pick manually the tasks we need.
First, we need to define the trigger and where are our artifacts. Click on the thing at the left of the screen. Select the build projects and let's use the latest version of the artifact to our deployment.
To get a continuous deployment, you need to enable it by clicking on the lightning bolt and selecting the enabled button.
Now let's select our tasks. Click on the "+" sign to add new tasks. We need three of these: Azure Resource Group Deployment, Azure CLI, and Azure File Copy.
Task 1 - Azure Resource Group Deployment
The first one will be an Azure Resource Group Deployment. The will be used to deploy our ARM template and be sure that the resources are available in Azure.
To configure the ARM deployment we need to select the Azure subscription and authorize the pipeline to have access. Then you will need to specify the name of the resource group you will be deploying into; it's location and finally points where is the linked ARM template.
Task 2 - Azure CLI
The second one is an Azure CLI. As I am writing this post, it's not possible to enable the static website property of a storage account. Therefore we will execute an Azure CLI command to change that configuration. Once you picked the Azure subscription, select inline script and enter this Azure CLI command:
az storage blob service-properties update --account-name wyamfrankdemo --static-website --index-document index.html
This will enable the static website property of the storage account named wyamfrankdemo, and set the default document to index.html.
Task 3 - Azure File Copy
The last task is an Azure File Copy to copy all our files from $(System.DefaultWorkingDirectory)/drop/drop/outpout to the $web container (in our Azure Blob storage). The container must be named $web, that's the name used by Azure for the static website.
Wrapping up
Once you are done configuring the Release Pipeline, it's time to save it and run it. After only a minute or two (this demo is pretty small) the blog should be available into Azure. To find your endpoint (aka URL) you can go into the portal.azure.com and look at the static website property of the blob storage that we just create.
I have that little website, a blog that doesn't consume much bandwidth, and I was looking to optimize it. Since Azure blob storage is such a low expensive resource, I thought it would be the perfect fit. I could use a static website generator to transform my markdown file into a nice looking blog and publish that in Azure! Using Azure DevOps pipeline I could at every "git push)" do that all automatically without having anything installed on my machine... meaning I could write a new blog post from anywhere and still be able to update my blog.
In this post, I will explain all the steps required to create a continuous integration and continuous deployment process to deploy a static website into Azure.
The Goal
The idea here is to have on a local machine a folder tracked by git. At every push, we want that change to trigger our CI-CD process. The Build Pipeline will generates the static website. The Release Pipeline will create our Azure resources and publish those artifacts.
The Static Website
In this post, I'm using Wyam.io as static website generator. However, it doesn't matter. There is a ton of excellent generator available: Jekyll, Hugo, Hexo, etc. I selected Wyam because it is written in .Net and If eventually, I want to dig dipper it would be easier for me.
For all those generated websites, it the same pattern. You have an input folder where you have all your posts and images and an output folder that contains the generated result. You don't need to track the content of your output folder, so it would be a good practice to modify the .gitignore file accordingly. As an example here how look mine.
The build pipeline will generate our website for us. There so, it needs to have the generator installed. A great tool to do this kind of tasks is Cake. What I like with that tool is that it is cross platform so I can use it without worrying on wish OS it will run.rd.
The Azure pipeline is defined in an azure-pipeline.yml file. Installing Cake should definitely be in our first steps. To know how to do that, navigate to the Get started page of the Cake's website, it's explained that we need to execute a build.ps1 or build.sh (depending on your build setup). That will install Cake and execute the file build.cake. Those files can be found on the GitHub repository as mentioned on the website.
On the Wyam website, in the deployment section of the documentation, you will find a sample for our required build.cake file. It looks like this:
On the first line, it will install the required NuGet package (you should definitely specify the version). Then it defines some tasks, and run the generation command. Create that file at the root of the website folder.
Now let's have a look at the azure-pipeline.yml file.
The first line is to specify the pipeline trigger. In our case, we will look at the master branch. Then I declare a variable to keep the .Net Core version. That way, it will be easier to maintain the script in the future.
The pool command is to specify what kind of server is created. Here I'm using a Windows one, yet I could have used Linux too (all components are cross-platform).
Then comes the list of steps. The first one install .Net Core. The second step is a powershell command to execute our build.ps1 file. At this stage, the static website should be generated in a subfolder output. The last two steps are to copy the content of the output folder into the ArtifactStagingDirectory and then publish it. This way the Release Pipeline can access the artifacts.
There is detailed information about all the commands for a YAML Azure Pipeline file in the documentation. Create your own or copy-paste this one in a new azure-pipeline.yml file under a subfolder named deployment. Once your file is created, commit and push them to GitHub or any repository.
Navigate to Azure DevOps (dev.azure.com). Open your project, or create a new one. Now from the left menu click on the Pipeline (the rocket icon), to create a new one. If you are using an external repository, like me, you will need to authorize Azure DevOps to your repo.
To configure the pipeline, since we already have created the azure-pipeline.yml file, select the Existing Azure Pipeline YAML file option and point it to our file in the deployment folder.
It will open our YAML file. If you wish you could update it. Run it, by clicking to Run blue button in the top-right corner. Your build pipeline is done. Now every time you will push changes into your repository that build will get triggered and generate the static website.
I published a video that explains how to UnZip files without any code by using Logic Apps. However, that solution didn't work for bigger files or different archive type. This post is to explain how you can use the Azure Function to cover those situations. This first iteration supports "Zip" files; all the code is available in my GitHub.
Prerequisites
To create the Azure Function, I will use the excellent Azure Function extension of Visual Studio Code. You don't "need" it. However, it makes thing very easy.
You can easily install the extension from Inside Visual Studio Code by clicking on the extension button in the left menu. You will also need to install the Azure Function Core Tools
Creating the Function
Once the extension installed, you will find a new button in the left menu. That opens a new section with four new option: Create New Project, Create Function, Deploy to Function App, and Refresh.
Click on the first option Create New Project. Select a local folder and a language; for this demo, I will use C#. This will create a few files and folder. Now let's create our Function. From the extension menu, select the second option Create Function. Create a Blob Trigger named UnzipThis into the folder we just created, and select (or create) Resource Group, Storage Account, and location in your subscription. After a few seconds, another question will pop asking the name of the container that our blob trigger monitors. For this demo, input-files is used.
Once the function is created you will see this warning message.
What that means is that to be able to debug locally we will need to set the setting AzureWebJobsStorage to UseDevelopmentStorage=true in the local.settings.json file. It will look like this.
The binding is attached to the container named input-files, from the storage account reachable by the connection "cloud5mins_storage". The real connectionString is in the local.settings.json file.
Now, let's put the code we need for our demo:
[FunctionName("Unzipthis")]
public static async Task Run([BlobTrigger("input-files/{name}", Connection = "cloud5mins_storage")]CloudBlockBlob myBlob, string name, ILogger log)
{
log.LogInformation($"C# Blob trigger function Processed blob\n Name:{name}");
string destinationStorage = Environment.GetEnvironmentVariable("destinationStorage");
string destinationContainer = Environment.GetEnvironmentVariable("destinationContainer");
try{
if(name.Split('.').Last().ToLower() == "zip"){
CloudStorageAccount storageAccount = CloudStorageAccount.Parse(destinationStorage);
CloudBlobClient blobClient = storageAccount.CreateCloudBlobClient();
CloudBlobContainer container = blobClient.GetContainerReference(destinationContainer);
using(MemoryStream blobMemStream = new MemoryStream()){
await myBlob.DownloadToStreamAsync(blobMemStream);
using(ZipArchive archive = new ZipArchive(blobMemStream))
{
foreach (ZipArchiveEntry entry in archive.Entries)
{
log.LogInformation($"Now processing {entry.FullName}");
//Replace all NO digits, letters, or "-" by a "-" Azure storage is specific on valid characters
string valideName = Regex.Replace(entry.Name,@"[^a-zA-Z0-9\-]","-").ToLower();
CloudBlockBlob blockBlob = container.GetBlockBlobReference(valideName);
using (var fileStream = entry.Open())
{
await blockBlob.UploadFromStreamAsync(fileStream);
}
}
}
}
}
}
catch(Exception ex){
log.LogInformation($"Error! Something went wrong: {ex.Message}");
}
}
UPDATED: Thanks to Stefano Tedeschi who found a bug and suggested a fix.
The source of our compressed file is defined in the trigger. To define the destination destinationStorage and destinationContainer are used. Their value are saved into local.settings.json. Then because this function only supports .zip file a little validation was required.
Next, we create an archive instance using the new System.IO.Compression library. We then create references to the storage account, blob, and container. It not possible to used second binding here because for one archive file you have a variable number of potential extracted files. The bindings are static; therefore we need to use the regular storage API.
Then for every file (aka entry) in the archive the code upload it to the destination storage.
Deploying
To deploy the function, from the Azure Function extension click on the third option: Deploy to Function App. Select your subscription and Function App name.
Now we need to configure our settings in Azure. By default, the local.setting are NOT used. Once again the extension is handy.
Under the subscription expand the freshly deployed Function App AzUnzipEverything, and right-click on Application Settings. Use Add New Setting to create cloud5mins_storage, destinationStorage and destinationContainer.
The function is now deployed and the settings are set, now we only need to create the blob storage containers, and we will be able to test the function. You can easily do that directly from the Azure portal (portal.azure.com).
You are now ready to upload a file into the input-files container.
Let's Code Together
This first iteration only supports "Zip" files. All the code is available on GitHub. Feel free to use it. If you would like to see or add support for other archive types join me on GitHub!.
In a video, please!
I also have a video of this post if you prefer.
I also have an extended version where I introduce more the Visual Studio Extension to work with Azure Function. And explain more details about the Azure Function V2.
Migrating Azure Functions from v1 (.NET) to v2 (Jeremy Likness) - A great story and an migration walkthrough. It's most likely that by following these steps we can only be successful with our migration.
Applied AI in Software Development (Afsana Atar) - This post is an excellent overview of whats AI at ten thousand feet in the air. Perfect if you are not a data scientist and would like to learn more about that trend.
My Twitch Live Coding Setup (Suz Hinton) - A great post from Suz (aka Noopkat) a long time technical streamer, who his both very smart and generous. Definitely, a post to read.
Rust Governance: Scaling Empathy (Manish Goregaokar) - A friend recently introduced me to Rust. This post assumed we all already familiar to it, and talk about the current problems of this new language and potential solutions.
Moving your ASP.NET applications to the Microsoft Cloud (Premier Developer) - If you are thinking to migrate to the cloud, it's important to plan your migration. This post is the perfect point to get started, it contains references to deeper books and documents.
The Rise of Microsoft Visual Studio Code (Lyn Levenick) - Cool statistics about editor usage. Not sure of the real correlation with the editor used and the skill level, but it's still an interesting coincidence.
Stream Deck Tricks for Streamers… and Muggles too! (Jeff) - Fantastic post that explains so much why that little thing can save you so much pain. As THE day when I'm starting to stream get closer and closer... This is gold.
TED Talks: The Official TED Guide to Public Speaking
Author: Chris J. Anderson
Fantastic book that covers a lot of topics related to presenting. It covers the before, during, and even the after very smartly. There are no recipes here and this is exactly what makes this book so great. A must.
Extreme Ownership: How U.S. Navy SEALs Lead and Win (Jocko Willink, Leif Babin) - Very interesting book. Yes, it contains a lot of battle details, and first I was not sure, but then things "fall" all in place when you understand what the story was "demonstrating." It also contains more business focus examples. Everything is very clear, well explained in plain English.
Suggestion of the week
Cloud
Cloud
Cloud
Extreme Ownership: How U.S. Navy SEALs Lead and Win
