What is ExpressJS?
Who uses ExpressJS?
Why developers like ExpressJS?
Here are some stack decisions, common use cases and reviews by companies and developers who chose ExpressJS in their tech stack.
Recently I have been working on an open source stack to help people consolidate their personal health data in a single database so that AI and analytics apps can be run against it to find personalized treatments. We chose to go with a #containerized approach leveraging Docker #containers with a local development environment setup with Docker Compose and nginx for container routing. For the production environment we chose to pull code from GitHub and build/push images using Jenkins and using Kubernetes to deploy to Amazon EC2.
We also implemented a dashboard app to handle user authentication/authorization, as well as a custom SSO server that runs on Heroku which allows experts to easily visit more than one instance without having to login repeatedly. The #Backend was implemented using my favorite #Stack which consists of FeathersJS on top of Node.js and ExpressJS with PostgreSQL as the main database. The #Frontend was implemented using React, Redux.js, Semantic UI React and the FeathersJS client. Though testing was light on this project, we chose to use AVA as well as ESLint to keep the codebase clean and consistent.
Back at the start of 2017, we decided to create a web-based tool for the SEO OnPage analysis of our clients' websites. We had over 2.000 websites to analyze, so we had to perform thousands of requests to get every single page from those websites, process the information and save the big amounts of data somewhere.
Very soon we realized that the initial chosen script language and database, PHP, Laravel and MySQL, was not going to be able to cope efficiently with such a task.
By that time, we were doing some experiments for other projects with a language we had recently get to know, Go , so we decided to get a try and code the crawler using it. It was fantastic, we could process much more data with way less CPU power and in less time. By using the concurrency abilites that the language has to offers, we could also do more Http requests in less time.
Unfortunately, I have no comparison numbers to show about the performance differences between Go and PHP since the difference was so clear from the beginning and that we didn't feel the need to do further comparison tests nor document it. We just switched fully to Go.
There was still a problem: despite the big amount of Data we were generating, MySQL was performing very well, but as we were adding more and more features to the software and with those features more and more different type of data to save, it was a nightmare for the database architects to structure everything correctly on the database, so it was clear what we had to do next: switch to a NoSQL database. So we switched to MongoDB, and it was also fantastic: we were expending almost zero time in thinking how to structure the Database and the performance also seemed to be better, but again, I have no comparison numbers to show due to the lack of time.
As of now, we don't only use the tool intern but we also opened it for everyone to use for free: https://tool-seo.com
I use Socket.IO because the application has 2 frontend clients, which need to communicate in real-time. The backend-server handles the communication between these two clients via websockets. Socket.io is very easy to set up in Node.js and ExpressJS.
In the research project, the 1st client shows panoramic videos in a so called cave system (it is the VR setup of our research lab, which consists of three big screens, which are specially arranged, so the user experience the videos more immersive), the 2nd client controls the videos/locations of the 1st client.
My view of the enterprise software stack I think is different than most. I find that I use C++ and #Qt in many of the roles most used Java and typically in #SipWitchQt and #Bayonne. I also have come to adopt Ruby in those other places where I had used Perl, Python , and PHP in the past, and certainly in preference to Node.js. In particular I am starting to really like Ruby and Sinatra over Python and Flask or Node.js with ExpressJS for writing quick web api and microservices, hence why I am using Sinatra in #PiWitch going forward. I do not pick a language because of popularity, but rather based on whether I can be effective in it for the problem I am trying solve.
I found Heroku to be a great option to get ExpressJS up and running with very little hustle. The free tier is great, but I'd recommend to set up a cronjob to visit your site every few minutes so that the server stays awake. Netlify was the option to host the front-end because doing the server side rendering on #Heroku would have taken a little more time than I'd like to. For the moment pre-rendering the app with prerender-spa-plugin is enough to help with #seo. Puppeteer was my choice over other options because it made it easier to scrape websites made on ASP.NET which is what I needed in this case. And Vue.js is my top choice at the moment because it's really beginner friendly and it has a lot of the features I like about Angular 2 and React. vuex is a must in most of the app I build.
I think next step could be to use Koa but I am not sure.
- Robust routing
- HTTP helpers (redirection, caching, etc)
- View system supporting 14+ template engines
- Content negotiation
- Focus on high performance
- Executable for generating applications quickly
- High test coverage