Coursera Full Stack Web Development Course Review

During the last 6 months I did the Full Stack Web Development course on Coursera. Since I’m currently about to finish the course by implementing my final capstone project (, I wanted to share my thoughts about the course and its pros and cons.

About the course

The Full Stack Web Development course consists of 6 single courses. Altogether, they make up the complete course which Coursera calls a specialization.

  1. HTML, CSS and JavaScript (3 weeks)
  2. Front-End Web UI Frameworks and Tools (4 weeks)
  3. Front-End JavaScript Frameworks: AngularJS (4 weeks)
  4. Multiplatform Mobile App Development with Web Technologies (4 weeks)
  5. Server-side Development with NodeJS (4 weeks)
  6. Full Stack Web Development Specialization Capstone Project (8 weeks)

It’s possible to take single courses, but of course it’s recommended to take all of them and do them one after another in the given order.

The complete specialization takes 27 weeks and costs 70 € per course, so 420 € in total.

HTML, CSS and JavaScript

This course thoughts the basics about HTML, CSS and JavaScript. It was made for beginners, so if you have a little knowledge of those topics you will probably be board. On the other side, if you have absolutely no knowledge about this HMLT, SSC and LavaScipting, you will have a hard time to learn everything in just 3 weeks. Because that’s how long the course will take.

IMHO: I don’t recommend this one. If you know HTML, CSS and Javascript you won’t learn anything from the course. And if you are absolutely new to those technologies, the course is far too short.

Front-End Web UI Frameworks and Tools

This course focuses on Bootstrap CSS. Although Bootstrap CSS isn’t too complicated, a lot of people don’t understand the principles behind it (e.g. the grid system with its rows and columns). So even if you used Bootstrap CSS before, this course will help you to understand things better.

IMHO: I recommend this one as it really helps to better understand one of the most popular UI frameworks right now.

Front-End JavaScript Frameworks: AngularJS

What the second course was for Bootstrap CSS, this one is for AngularJS. And again, if you know AngularJS there will be nothing new to you. But if you are new to AngularJS this course will find the right tempo to give you a good first glance. However, the course is not really up-to-date with AngularJS’ latest version.

IMHO: I recommend it, as this course gives you a good introduction to AngularJS.

Multiplatform Mobile App Development with Web Technologies

This course is made up around the Ionic Framework for mobile apps. If you are interested in building mobile apps, this course will teach you one out of a thousand possibilities to do this. I think the Ionic Framework is not the worst way to make mobile apps, however the course is still very opinionated and has a very small focus.

IMHO: Out of all 6 courses, I can recommend this one at least. Ionic might be good for some use cases, but the example app made in the course doesn’t benefit from it in any way. It’s just the very same app as made before. Making everything responsive would be a much better approach. This course also relies heavily on installed software like Ionic itself and Android or iOS simulators. If one of those pieces of software don’t run on your device, you are screwed. It took me hours to get the Android simulator to run, before I switched to the iOS simulator which also took me hours.

Server-side Development with NodeJS

This course is about NodeJS and MongoDB. Although the architecture of the example app of the course is terrible (they make database queries in the REST controllers!), the course gives a nice introduction to server-side JavaScript. Both technologies – NodeJS and MongoDB – are state of the art.

IMHO: I can recommend this one to get started with NodeJS and MongoDB, but also to see some draw backs of those very hyped technologies.

Full Stack Web Development Specialization Capstone Project

At the end of the course, everybody must implement a final project. The project should show the learned skills and should – of course – use technologies thought in the course. So you are forced to get your hands dirty and write some own code.

IMHO: This part of the specialization is very interesting, but has some pitfalls, too. It’s important to choose the project idea wisely. The course only takes 8 weeks from which only 2 are dedicated to actual programming. So whatever you implement, it must be something small.

Special note: To complete the course, you must deploy your project to IBM’s PaaS Bluemix for which you will get a test account. As I worked with AWS and some other DevOp technologies before, this wasn’t too hard for me to do. However, Bluemix is a terrible plattform. If you are not familiar with PaaS, plan some extra time to get things working. The course will not prepare you for that in any way.

How Coursera works

Before you take a course at Coursera, you should first understand how the plattform works: Courses on Coursera are mode up of online videos, text and PDFs, exercises and assignments. It’s up to the teacher of the course is laid out.

Every course runs regularly at some specific date and will end at some specific date. This means a course might start every 2 months beginning at the first of the month and ends 4 weeks later. You must (!) take the course at this period of time. It’s just like a physical class you would take at school or university.

Most courses require assignments to complete them. This means there will be some exercise at the end you must fulfil and upload the solution. Most assignments are peer-graded which means that you must review your classmates and you will be reviewed yourself by them.

At the end, you will get a certificate with a lot of buzzwords for this specific course.

IMHO: Coursera is nice, but it’s not the same as a real physical class at university. Especially the peer-graded assignments are problem. Some people tend to criticize the most odd things, while others just give you the point without even looking at your work. It’s completely up to you how serious you take it.

What I learned

Things I liked to learn

Things I didn’t like after learning them

What I missed

What I missed completely during all 6 courses was unit testing. None of the courses teach anything about testing, neither in the front end (Jasmine, Protractor) nor in the backend (Mocha, Sinon).


Best regards,

DeployMan (command line tool to deploy Docker images to AWS)


2014-07-29 11_34_11-Java EE - Eclipse

Yesterday, I published a tool called DeployMan on GitHub. DeployMan is a command line tool to deploy Docker images to AWS and was the software prototype for my master thesis. I wrote my thesis at Informatica in Stuttgart-Weilimdorf, so first of all, I want to say thank you to Thomas Kasemir for the opportunity to put this online!


At the time I am writing this post, DeployMan is a pure prototype. It was created for academic research and as a demo for my thesis. It is not ready ready for production. If you need a solid tool to deploy Docker images (to AWS), have a look at Puppet, CloudFormation (for AWS), Terraform, Vagrant, fig (for Docker) or any other orchestration tool that came up in the last couple of years.

What DeployMan does

DeployMan can create new AWS EC2 instances and deploy a predefined stack of Docker images on it. To do so, DeployMan takes a configuration file called a formation. A formation specifies how the EC2 machine should look like and which Docker images (and which configurations) should be deployed. Docker images can either be deployed from a Docker registry (the public one or a private) or a tarballs from a S3 storage. Together with each image, a configuration folder will pulled from a S3 storage and mounted to the running container.

Here is an example of a formation which deploys a Nginx server with a static HTML page:


DeployMan provides a command line interface to start instances and do some basic monitoring of the deployment process. Here is a screenshot which shows some formations (which can be started) and the output of a started Logstash server:


To keep track of the deployment process in a more pleasant way, DeployMan has a web interface. The web interface shows details to machines, such as the deployed images and which containers are running. Here is how a Logstash server would look like:


The project


You can find the project on GitHub at I wrote a detailed which explains how to build and use DeployMan. To test DeployMan, you need an AWS account (there are also free accounts).

The project is made with Java 8, Maven, the AWS Java API, the Docker Java API and a lot of small stuff like Apache Commons. The web interface is based on Spark (for the server), Google’s AngularJS and Twitter’s Bootstrap CSS.

Best regards,

Presentation of my master thesis

Over the last six months, I wrote my master thesis about porting an enterprise OSGi application to a PaaS. Last Monday, the 21th Juli 2014, I presented the main results of my thesis to my professor (best greetings to you, Mr. Goik!) and to my colleges (thanks to all of you!) at Informatica in Stuttgart-Weilimdorf, Germany (where I had written my thesis based on one of their product information management applications, called Informatica PIM).

Here are the slides of my presentation.

While my master thesis also covers topics like OSGi, VMs and JEE application servers, the presentation focuses on my final solution of a deployment process for the cloud. Based on Docker, the complete software stack used for the Informatica PIM server was packaged into separate, self-contained images. Those images have been stored in a repository and were used to automatically setup cloud instances on Amazon Web Services (AWS).

The presentation gives answers to the following questions:

  • What is cloud computing and what is AWS?
  • What are containers and what is Docker?
  • How can we deploy containers?

To automate the deployment process of Docker images, I implemented my own little tool called DeployMan. It will show up at the end of my slides and I will write about it in a couple of days here. Although there are a lot of tools out there to automate Docker deployments (e.g. fig or Maestro), I wanted to do my own experiments and to create a prototype for my thesis.


Best regards,

Install OpinionTrends with nginx and memcached

OpinionTrends is build with Python and Flask. Therefore you can run it without any additional server right out of the box. Batteries included! However, it is much more common and much more efficient if you run it with a web server and an application server. A widely used combination for Python web applications is nginx together with uWSGI. In this tutorial I want to show how we set up this two tools to run TechTrends and OpinionTrends. The tutorial starts at the very beginning and the only thing I assume is that you run a Linux machine with Python and easy_install.

Note: OpinionTrends is the new version of TechTrends. However, it is just a code name. So when I talk about OpinionTrends or TechTrends I mean the same thing.


Base folder

The first thing we have to do is to create the base directory for TechTrends. By convention a web application is located in /var/www. All of our code will go into this folder.

Clone & Update

Now we can start to set-up the application from scratch. OpinionTrends is deployed with git. So we just check-out the code and switch to the new opinion branch:

After the first checkout an update is super easy. Just do a pull for the latest code:


Now we have to make some simple settings for TechTrends. To do this, we create a new file called in the folder Configuration in our checked-out project. There is also a file called in this folder which is an empty but well documented template for the configuration. The file contains all individual settings for the application. It should look like this:


Now we have to install the libraries needed by TechTrends. To do this we use easy_install. All dependencies are in a file called requirements.txt in the root folder of TechTrends. We have to install all dependencies in this file:

Note: As you see, the installation of the dependencies is very easy in theory. However, some dependencies such as scikit-learn are sometimes hard to install since they are not pure Python and use come C bindings. If you have problems installing the whole requirements.txt at once try to install every dependency manually on its own.




Installing nginx is not a big thing:

After we installed and started nginx we can verify if it is running correctly by taking our favorite browser and surf to our machine.

By the way, stopping nginx is also very simple:


Now we have to configure ngix to point to TechTrends instead to the default welcome page. To do this we first remove the default configuration:

Now we create our own configuration in /var/www/techtrends/nginx.conf. It should look like this:

We link this file to nginx a restart it:

Now we should get a Bad Gateway exception. Perfect! This tells use that nginx found our configuration and that every things looks good – except of the missing uWSGI!




uWGSI is the protocol between our Python application and nginx. It is their way of communication. First we have to install it:


Now we create a configuration file in /var/www/techtrends/uwsgi.ini. It should look like this:

Now we can start uWSGI as a daemon in the background:

Done! Nginx is serving TechTrends now. However, we should get an exception again since memcached is still missing. If we want to use TechTrends without memcache we have to change a value in the in the Configuration folder in TechTrends base directory. We have to set DEBUG = True to not use memcache.



One of the biggest performance improvements you can do (I guess in general, but especially for TechTrends) is to use memcached. Memcached is a key-value in-memory store to cache frequently requested data. In TechTrends we use it to store whole pages and JSON responses from our API.


Install memcached first:

And that’s it! Memcached is installed and running now. You can restart memcached (e.g. to clear it) like this:


Congratulations! TechTrends should run now in a stable production mode. We installed nginx, uWSGI and memcached. We also configured it to work together. Great! But – there are still some open points we have to do.


TechTrends/OpinionTrends has two regularly scheduled jobs. One job is the crawler which crawls posts from Reddit and Hackernews and the other job is the training and restart of the application. To execute this jobs we set-up a cron tab. First we create two files which execute these jobs. The first file is called and looks like this:

The second file is called and looks like this:

Both files should be in the root folder (/var/www/techtrends/) of TechTrends. Now we add those two files to our locale crontab. We can edit the it like this:

It should look like this:

This crontab will run the crawler every 30 minutes and once a day at 3 o’clock it will trigger the training and restart of the whole application. So the data will growth every 30 minutes and will be indexed once a day. That’s it.

Best regards,