There are a few ways to implement a monolithic Angular application. The easiest way is to use the built in template. Visual Studio comes with an Angular template that includes some nice features. I prefer to use the Angular CLI, so I don’t use the included template. If you also want to use the Angular CLI, I have a post on how to use Angular CLI with a .NET Core project.
Each of the architectures in this post shines in a particular set of circumstances. Monoliths are great for small to medium sized projects, but are not ideal for larger applications. Serverless architecture is great for small apps, but not for large enterprise applications. Microservices architecture works well for large applications, but isn’t worth the overhead on small ones. Figure out the application you want to build and choose wisely.
Building web applications is hard work. Not only do you have to build the application, you need to figure out where to host it. Ever want to skip all the frustrating server provisioning and focus on your code? If so, then serverless architecture is worth a look. In this article, you will learn how to build setup a serverless Angular app using Azure.
The term “serverless” is somewhat misleading. There are still servers, but you don’t have to care about them.
Serverless architecture runs on managed services that host your code. Server level concerns like figuring out how much memory you need, fault tolerance, and scalability are abstracted away. You don’t need to pick out a VM or service tier. The service scales automatically. You upload your code and go. The service takes care of the rest.
Serverless platforms come in several different flavors including APIs like Firebase and functions as a service (FAAS). FAAS is where you host small bits of code in the cloud. Think micro-services to the nth degree. All of the major cloud providers have some flavor of FAAS. Examples include: Amazon Lambda, Google Cloud Functions, and Azure Functions. You can even host your own FAAS using OpenFAAS, though that kinda defeats the point. (comprehensive list of serverless platforms)
For the purposes of this application, we are going to use Azure Functions for our backend API.
While Angular application are complex to develop, they compile into a handful of static files. There’s no reason you can’t throw these files up on any commodity static host. In this case, we’re going to use Azure Web Sites. While this solution isn’t 100% serverless, (you have to pick a hosting tier) hosting a handful of files on the free tier is close enough for me. To add another layer of performance, we’re also going to use Azure CDN to cache the files so they load quickly.
Here’s what we’re going to do:
We start off by creating a new Azure Function app. Starting from the Azure Portal, click “New” search for “function” and click Function App. This will bring you to the new function app blade. Type in your app name (it has to be unique), add the rest of your info and click Create.
Now we’re going to make a function. Either hit the plus sign or click “New Function”. This brings you to the function template screen before. Functions can be activated by a variety of triggers including DB requests, files, and manual activation. We’re going to use the HTTP Trigger. HTTP triggers are activated by an HTTP request. Select “HttpTrigger – C#”.
You should now have this lovely boilerplate. This code can handle any http request and sends back a response.
Let’s ditch that boilerplate and drop in our API code. This is just going to be a simple GET request. Feel free to pretend we’re calling a database here instead of just returning a list.
If you’d like to test your shiny new function, click the “get function url” link and drop that into Postman. As you can see here, things are working splendidly.
You can also test using the built-in testing utility on the right side of the function window.
Now that we have our backend setup, let’s put together our front end. In this case, we’re going to set up an Angular application built with the Angular CLI. Since this post is about setting up the architecture, I’m not going to go into great detail about the application itself, which can be found in this github repo. If you’re using another front-end library like React or Vue.js, this setup should be mostly the same.
To begin, create an Azure Web App. (New -> Web App). The free tier should be adequate for our needs. We’re just hosting a few files. If you want to use your own custom domain, you’ll need to use a higher tier.
Now we need to get the static files to host. If you’re using Angular CLI (and you should be…), the command to do this is:
ng build --prod --aot
After that command runs, head over to the dist folder of your angular app. It should look something like this:
The next step is to get your static files into the web app. I used FTP, though you can download a publish profile if you want. Drop your static files into the wwwroot folder. At this point, you should be able go to the URL and your app will load.
The next step is to set up a CDN. Since these are just static files, we can use a CDN to serve them. Azure CDN also allow us to serve the site over https without having to pay for a plan that supports SSL. To set one up, go to New, search “CDN”, click “CDN”, and click “Create”.
This brings up the CDN profile blade. Type in your name, select “Standard” for your pricing tier, and select your web site from the dropdown. Then click “Create”. Now you have a CDN for your static files.
Now that we have our web app in place, we need to set up the CORS (cross origin resource sharing) headers on our function. Browsers, by default, prevent your website from accessing APIs that don’t match the url of your web application (CORS error pictured below). This feature helps to prevent Cross Site Request Forgery (CSRF) attacks, but is sometimes kind of annoying. If you want to use your function API from your web application, you’ll need to add a CORS header to your API.
To begin, go back to your function app and go to the “Platform features” tab and click “CORS”.
This brings you to the CORS screen. Add the url/s of your web app. You can use “*”, which is the wildcard route, but you shouldn’t because it’s rather insecure. It’s best to use your web app’s URL here.
At this point, we have a functioning web application, but there’s still one more issue to resolve. Like most SPA applications, Angular supports client side urls that don’t correspond to server-side resources. All of our application code is served from index.html on the root url, but we use the Angular router to map urls to parts of the application. For example, in our sample app, if we navigate from the home page to the Products page it works great, but if we hit refresh we get a 404. (error below) This is because there’s no page on the server for that URL. To fix this we need to add a URL re-write rule to redirect anything that’s not a static asset back to the index page.
To do this, we’re going to create a web.config file with our rewrite rule.
Here’s our rule (finished product):
This rule takes anything that isn’t a file, directory, or an asset (*.html, *.js, *.css) and redirects it to the index page. If you have fonts or images in your application, you should probably add rules for those file extensions as well.
Then, take that web.config file and drop it into the wwwroot folder of our web app. App urls should now redirect appropriately.
If you’d like to build an Angular application and host it for cheap in the cloud, this is a great way to do it. The serverless architecture is great for MVPs, simple applications, and proof of concept applications. It’s an easy way to get code into the world with minimum fuss.
If you’d like additional information or access to the code referenced in this post, check out the links below.
When doing a technology demo, it’s important that everyone in the room can see your screen. This usually means bumping up your view to 150%-200% depending on the screen, room, and relative blindness of the people in your audience. I demo a lot of web technologies, so I find myself showing the Chrome developer tools. Fun fact, when you zoom web pages in Chrome, that setting doesn’t apply to the developer tools. Fortunately, this is easy to fix.
To zoom in Chrome developer tools:
open the developer tools window,
hold down ctrl,
press + or – to zoom in and out.
Have you ever worked on an application with a jungle-like class inheritance hierarchy? Everything in the app inherits from two layers of classes and it’s impossible to follow a single line of functionality. You get code reuse, but at the cost of incomprehensible spaghetti code. I, for one, find that price too steep. In this post, we’re going to learn how to build code that’s easy to reuse, easy to test, and most important, easy to read.
We have many design patterns in object oriented programming. One the most useful ones is the composite reuse principle (aka. composition over inheritance). This term sounds a little opaque, but it’s not hard to understand. It means that you should design your classes as a series of loosely coupled components instead of using a multilayered class hierarchy for code reuse.
Here’s an example:
Practically speaking, this means breaking down inheritance hierarchies into plug-able services. Then you can inject those services using your favorite dependency injection framework.
While using composition may seem more complicated, there are several advantages.
If you’re using class hierarchy for code reuse, ditch that approach and favor composition instead. Your code base will thank you for it.
Like fashion, computing works in cycles. Things that were once looked at as passe come back with retro vengeance. For .NET development, the console is back. Consoles combined with lightweight editors like Visual Studio Code are becoming increasingly popular. Call me a hipster, but I’m all for this change. I hate waiting around for my editor and I never have to do that in a console or Visual Studio Code.
Unfortunately, if you’re living in the world of Windows, the default command line options are lacking. Not only are CMD and Powershell ugly, they lack basic usability features found in Linux and OSX. There is a better way. Cmder is a Windows console emulator that bundles several command line tools together into one fantastic package. It’s the Cadillac of Windows consoles.
Here’s what it looks like:
Cmder has a nice tabbed interface. You can run multiple consoles without having to deal with a bunch of windows. It also supports several different types of consoles including: CMD (enhanced with Clink), Powershell, and Bash.
You also get full control of the appearance of the shells including the font, color, etc… Cmder has many themes, but the default Monokai theme is good enough for me.
More importantly, you can create custom tasks. A custom task is a specific command window that you can define. You can specify the shell, what parameters it’s called with, and what directory is opened. You can have a command line setup for each application you work on. You no longer need to open a command line and manually navigate to your app folder each time you open up the console.
To make a custom task, do the following:
From Cmder, type Win + Alt + T. This takes you the tasks windows. You can also click the arrow next to the plus sign and click “Setup Tasks”.
This window allows you to reorder and reorganize the different defaults in Cmder. Hit the plus sign to add your own.
In this case, this is a console task that opens a specific project I’m working on.
After you setup your new task, click “Save Settings”. You should see your new shell in the list of available presets. Then you can open that exact shell whenever you want.
If you want to supercharge your Windows console, check out Cmder.
I’m a huge fan of ASP.NET Core. It’s a great iteration on the ASP.NET platform and it should be your default choice for any new web development. I’m also a big fan of apps that don’t take a week to load. Fortunately, ASP.NET Core doesn’t skimp in the speed department. The framework has some great features for building fast applications. Some things that used to be hard are now easy.
In this post, I’m going to go over a few tips for building blazing fast ASP.NET applications.
One important way to help your application scale is to use asynchronous methods. The async and await keywords make building asynchronous code as easy as building synchronous code. Using async and await frees up your threads while waiting for calls to return. Because you are using up fewer threads, more people can use your application at the same time.
Async is usually a good default practice. But, it’s especially important when calling slower processes, like database calls and service requests. You don’t want to hog up a thread waiting around for database results to come back. When building your application favor async versions when they are available. Entity Framework has async versions of most data access methods, so make use of them.
One thing to keep in mind is that using async and await will help you scale, but it won’t run your requests in parallel. If you have several slow requests, consider running them in parallel using the Task Parallel Library. That will compress your wait time to the longest running call, as opposed to waiting for each one to return sequentially.
Getting data out of a database is the largest performance bottleneck in most applications. One way to reduce that cost is to cache things that are slow to retrieve or slow to change. ASP.NET Core has a few built in cache mechanisms.
The easiest cache to use is the built in memory cache. This cache stores items in the memory of your applications server. While this is easy to use, there are two downsides. The first downside is your cache goes away if your server goes down. Often, this is a non-issue, but if your application caches things are costly to calculate, this can be a real downer. The second problem is that if you want to scale your application to more than one server, your’re out of luck.
The solution to this problem is to use a distributed cache. This cache uses either a REDIS instance or a SQL Server table to hold your cached data. I’ve used both flavors and they both work great. One thing I liked about using the SQL Server cache is that I could add fields to the table to enable more detailed caching logic.
Regardless of which caching mechanism you use, you should hide it behind your own cache abstraction. (I call mine ICacheProvider) By using your own cache abstraction, you can easily swap out one caching mechanism for another. Most people start off with the memory caching, but eventually outgrow it. If you put your caching behind an abstraction, you can swap it out for a distributed cache without having to change a bunch of places in your app.
By default, ASP.NET only compresses a few types of requests by default. These include the content of Razor pages, but not the results of api calls (JSON is not compressed by default). This means that if you have an api request heavy application (ie. a SPA), you can save some serious bandwidth by compressing those responses. This is especially important if you are serving mobile customers, who may have a low bandwidth signal.
Unlike the previous version of ASP.NET, Core has a handy built in middleware that you can add to your app. You can specify the type of compression and what mime types to compress. I’ve tested this in my application and the compression saves a noticeable amount of bandwidth.
If you have a good performance tip, feel free to leave it in the comments.
The next time you give a tech talk or presentation at work, show up early and start a conversation. It’s a great way to get things moving in the right direction.
In addition to the productivity benefits of using the right tool for the right job, it’s good for your personal development to learn new programming languages. The Pragmatic Programmer recommends learning a new one each year. Learning new languages improves your thinking and makes you better at your primary development stack.
“There’s gold in them servers.”
Data is money. Large companies are using the data you generate as a goldmine. Uses range from using data to optimize advertising to using it to make even more addictive products. In addition to user generated data, we also have the mountains of data generated by IOT devices. Sometimes we can use it for small gains, like using a Nest Thermostat to optimize your heating and cooling, but sensor networks can have a much greater impact. We have access to more data than in all of human history. If you can figure out how to mine insights from that data, you will be rewarded handsomely.
“There are three kinds of lies: lies, damned lies, and statistics.”
With plenty of data comes plenty of people using that data to manipulate you. Every political cause has a stable of statistics behind it. Even if they fall apart under scrutiny, people believe them because numbers sound fancy. People trying to sell you something use numbers to appear more credible. If you want to thrive in our data soaked economy, it’s essential to become data literate, so you can spot these manipulations.
R has several features that make it a great tool for learning about data analysis. First, it’s really easy to learn. R is a simple language that you can pick up in a few hours. Additionally, R has an easy to use built in help system. If you need info on any command or method, it’s a few keystrokes away. R also has a lot of built in data sets to play with statistical techniques. This includes lots of popular demo statistical data sets that are well known in the statistics community.
As data analysis becomes more prevalent in the enterprise, you’re probably going to wind up working with data analysts and data scientists. Learning about some of the tools and techniques they use gives you common ground. It’s the same reason software developers should develop business and industry knowledge. Being able to connect with your team members on their terms makes you more than a run of the mill software developer.
If you’re an enterprise developer, R is worth a look. You can use R to learn valuable new skills using familiar tools. With a little effort, you’ll be able to slice and dice data for fun and profit.
To learn more, check out my post on R Resources
In an effort to improve my data analysis skills, I’ve been learning and speaking about the R programming language. Even if you don’t want to be a data scientist, (whatever the hell that means this week) learning some analysis skills can pay dividends. Data literacy is an essential skill in our data soaked economy and R is a good learning tool for analysis skills.
One of the harder things to do when starting in a new area is finding useful resources. It’s tough to find the digital needle in the web powered haystack. To make your life a little easier, here’s a list of the R resources I found to be useful.
There are three paths to getting R setup on your machine. If you’re a Visual Studio 2017 user, the easiest way to get R is to install the Data Science workload in Visual Studio. This will get you the Microsoft flavor of R and R Tools for Visual Studio.
If you’re not into Visual Studio, you can also install an R interpreter and R Studio. R Studio is a free R IDE. For interpreters, you can go with either the Microsoft flavor or the standard CRAN flavor of R.
If neither of those options work for you, you can also run R in a Jupyter Notebook. Jupyter is a web-based environment that makes it really easy to mix text and code. It’s used in many contexts including scientific research and virtual textbooks. To setup a local copy, start off by installing Anaconda. Anaconda is a data science environment that includes a plethora of handy analysis tools. After you install Anaconda, you’ll need to install R using the conda package manager. Then you can run Jupyter using the “jupyter notebook” command.
conda install -c r r-essentials jupyter notebook
R Studio Cheat Sheets
A collection of useful R related guides in PDF format.
R Tutor Tutorials
This site came in handy a few times while trying to find specific R issues.
Flowing data has a variety of useful articles on R and other data topics.
Don’t forget about the built-in R help system. Prefix any command with a question mark and it’ll search the R documentation for you. (Example: “?kmeans”)
I skimmed through a bunch of books on R, but the one I really liked was R: Recipes for Analysis, Visualization and Machine Learning. The writing was clear and the content was pragmatic. The task based format was easy to follow and implement. Another book that I used was R for Data Science.
R: Recipes for Analysis, Visualization and Machine Learning
R for Data Science
This list of resources is enough to help you get started in learning R. Go forth and learn how to slice and dice your data.