Alternatives to Phalcon

I really love Django because it is really fast to create a web application from scratch and it has a lot a facilities like the ORM or the Admin module ! The Python language is really easy to read and powerful, that's why I prefer Django over Symfony.

I use Django at work to make tools for the technicians but I also use it for me to build my personal website which I host on PythonAnywhere, and with a domain name bought on Namecheap.

We needed our e-commerce platform (built using WooCommerce) to be able to keep products in sync with our #pim (provided by #akeneo) which is built in Symfony . We hooked into the kernel.event_listener to send RabbitMQ messages to a WordPress API endpoint that triggers the updated product to rebuild with fresh data.

I need to build a web application plus android and IOS apps for an enterprise, like an e-commerce portal. It will have intensive use of MySQL to display thousands (40-50k) of live product information in an interactive table (searchable, filterable), live delivery tracking. It has to be secure, as it will handle information on customers, sales, inventory. Here is the technology stack: Backend: Laravel 7 Frondend: Vue.js, React or AngularJS?

Need help deciding technology stack. Thanks.

Coming from a non-web development environment background, I was a bit lost a first and bewildered by all the varying tools and platforms, and spent much too long evaluating before eventualy deciding on Laravel as the main core of my development.

But as I started development with Laravel that lead me into discovering Vue.js for creating beautiful front-end components that were easy to configure and extend, so I decided to standardise on Vue.js for most of my front-end development.

During my search for additional Vue.js components, a chance comment in a @laravel forum , led me to discover Quasar Framework initially for it's wide range of in-built components ... but once, I realised that Quasar Framework allowed me to use the same codebase to create apps for SPA, PWA, iOS, Android, and Electron then I was hooked.

So, I'm now using mainly just Quasar Framework for all the front-end, with Laravel providing a backend API service to the Front-end apps.

I'm deploying this all to DigitalOcean droplets via service called Moss.sh which deploys my private GitHub repositories directly to DigitalOcean in realtime.

Hi, I have an LMS application, currently developed in Python-Django.

It works all very well, students can view their classes and submit exams, but I have noticed that some students are sharing exam answers with other students and let's say they already have a model of the exams.

I want with the help of artificial intelligence, the exams to have different questions and in a different order for each student, what technology should I learn to develop something like this? I am a Python-Django developer but my focus is on web development, I have never touched anything from A.I.

What do you think about TensorFlow?

Please, I would appreciate all your ideas and opinions, thank you very much in advance.

Simple controls over complex technologies, as we put it, wouldn't be possible without neat UIs for our user areas including start page, dashboard, settings, and docs.

Initially, there was Django. Back in 2011, considering our Python-centric approach, that was the best choice. Later, we realized we needed to iterate on our website more quickly. And this led us to detaching Django from our front end. That was when we decided to build an SPA.

For building user interfaces, we're currently using React as it provided the fastest rendering back when we were building our toolkit. It’s worth mentioning Uploadcare is not a front-end-focused SPA: we aren’t running at high levels of complexity. If it were, we’d go with Ember.js.

However, there's a chance we will shift to the faster Preact, with its motto of using as little code as possible, and because it makes more use of browser APIs. One of our future tasks for our front end is to configure our Webpack bundler to split up the code for different site sections. For styles, we use PostCSS along with its plugins such as cssnano which minifies all the code.

All that allows us to provide a great user experience and quickly implement changes where they are needed with as little code as possible.

Hi all, I need to create a simple IoT interface application that connects the end device API with a GeoTab API. I am considering using Bubble due to its simple interface and configuration tools, but I fear it's too simple. We will want to add features and new devices as we grow - I was thinking of using CodeIgniter or CakePHP on a hosted site for the application. Must support JCOM encoding between the two APIs and there is no need for a separate interface as GeoTab already has one; we are just connecting and pushing data. Thoughts?

Hello Everyone, I'm a freelancer and I have a project for an online trivia app (not a multiplayer yet for now). I'll be using Unity for the client side, but I'm having a hard time deciding which Backend technologies should I use considering the goal is to have a large number of users in the future. I was thinking to use MySQL as the DBMS but Im planning not to use Laravel or CodeIgniter with it.

Can anyone recommend some Backend stacks that will be ideal? Kudos and Thanks in Advance!

This is my stack in Application & Data

JavaScript PHP HTML5 jQuery Redis Amazon EC2 Ubuntu Sass Vue.js Firebase Laravel Lumen Amazon RDS GraphQL MariaDB

My Utilities Tools

Google Analytics Postman Elasticsearch

My Devops Tools

Git GitHub GitLab npm Visual Studio Code Kibana Sentry BrowserStack

My Business Tools

Slack

Hello everyone,

I have a final-study project, and I'm responsible for making decisions for what frameworks to use (both front-end and back-end) and the software architecture to adapt.

The project is a web application for a concrete company. The main goal is to calculate what is called OEE (Overall Equipment Effectiveness), meaning simply the efficiency of the machine. The calculation and display of OEE will be in real-time, meaning that this rate will be updated every two minutes, and it will appear in a graph. Also, we have the state of the machines to display whether the machines are working just fine or there is some problem.

This will be done using IoT, meaning that important data will be sent from the machine to the web application that I will create via the API (someone else will be responsible for this matter). Of course, the application will include employees, factories, as well as machines, ... etc.

The most important thing in the application is real-time performance monitoring of machines and the OEE.

A real example of what we want to do => https://evocon.com/

I choose to use Laravel because : - This type of applications could be implemented by Laravel - Me and my colleague have some knowledge and practice with this framework (choosing other technologies like Node.js means a huge learning curve) - Easy documentation and abandon tutorials

The only reason why I choose Vue.js because It goes well with Laravel (from what I have learned).

The second important question, which software architecture should I adapt ? should I use Microservice Architecture or the normal and well-known Monolithic Architecture? I know the benefits and disadvantages of the first and second methods, but I do not want to make a wrong decision.

If I choose microservice for this project, I will use Lumen (PHP Micro-Framework By Laravel).

Should I use micro-frontend as well? Like VuMS, or it's not necessary for this project?

I don't think that the reasons to choose Laravel are enough, so I want to understand the obstacles that I may face during the development.

In the end, I decided to ask and take expert opinions.

NOTE: this web application will be used by other companies, like in the case of evocon.

If there are tips and things that I must know to accomplish this project, please mention them.

Thank you very much.

Ember.js PHP MySQL Propel Slim Intercom

Mostly CRUD app, using propel orm, jsonapi serializers and ember.js frontend, this app was in ember 2.16 and we recently upgraded without any issue to 3.15, propel is super good as ORM, slim is a thin framework basically for routing and middleware

I'm about to start a new project to build a REST API, and I got to this point: Yii2 Vs Lumen Vs Slim, I used Yii 1.1 a while a go and it was awesome, really easy to work with, as a developer you don't have to worry about almost anything, just setup the framework, get your php extensions, and start coding your app.

But, I was told about performance and someone recomended Lumen or Slim to work with a micro framework and a less bloated framework, what worries me is the lack of advantages that Yii2 offers, ACF and RBAC as a native tool on the framework, gii, the model validations and all the security props already in it.

Is it worth it? Is the performance so great on those frameworks to leave aside the advantages of a framework like Yii2?

How do you suggest to make the test to prove wich one is better?

PHP Lumen Yii Slim

Needs advice on code coverage tool in Node.js/ExpressJS with External API Testing Framework

Hello community,

I have a web application with the backend developed using Node.js and Express.js. The backend server is in one directory, and I have a separate API testing framework, made using SuperTest, Mocha, and Chai, in another directory. The testing framework pings the API, retrieves responses, and performs validations.

I'm currently looking for a code coverage tool that can accurately measure the code coverage of my backend code when triggered by the API testing framework. I've tried using Istanbul and NYC with instrumented code, but the results are not as expected.

Could you please recommend a reliable code coverage tool or suggest an approach to effectively measure the code coverage of my Node.js/Express.js backend code in this setup?

I just finished the very first version of my new hobby project: #MovieGeeks. It is a minimalist online movie catalog for you to save the movies you want to see and for rating the movies you already saw. This is just the beginning as I am planning to add more features on the lines of sharing and discovery

For the #BackEnd I decided to use Node.js , GraphQL and MongoDB:

1. Node.js has a huge community so it will always be a safe choice in terms of libraries and finding solutions to problems you may have

2. GraphQL because I needed to improve my skills with it and because I was never comfortable with the usual REST approach. I believe GraphQL is a better option as it feels more natural to write apis, it improves the development velocity, by definition it fixes the over-fetching and under-fetching problem that is so common on REST apis, and on top of that, the community is getting bigger and bigger.

3. MongoDB was my choice for the database as I already have a lot of experience working on it and because, despite of some bad reputation it has acquired in the last months, I still believe it is a powerful database for at least a very long list of use cases such as the one I needed for my website

Oof. I have truly hated JavaScript for a long time. Like, for over twenty years now. Like, since the Clinton administration. It's always been a nightmare to deal with all of the aspects of that silly language.

But wowza, things have changed. Tooling is just way, way better. I'm primarily web-oriented, and using React and Apollo together the past few years really opened my eyes to building rich apps. And I deeply apologize for using the phrase rich apps; I don't think I've ever said such Enterprisey words before.

But yeah, things are different now. I still love Rails, and still use it for a lot of apps I build. But it's that silly rich apps phrase that's the problem. Users have way more comprehensive expectations than they did even five years ago, and the JS community does a good job at building tools and tech that tackle the problems of making heavy, complicated UI and frontend work.

Obviously there's a lot of things happening here, so just saying "JavaScript isn't terrible" might encompass a huge amount of libraries and frameworks. But if you're like me, yeah, give things another shot- I'm somehow not hating on JavaScript anymore and... gulp... I kinda love it.

How Uber developed the open source, end-to-end distributed tracing Jaeger , now a CNCF project:

Distributed tracing is quickly becoming a must-have component in the tools that organizations use to monitor their complex, microservice-based architectures. At Uber, our open source distributed tracing system Jaeger saw large-scale internal adoption throughout 2016, integrated into hundreds of microservices and now recording thousands of traces every second.

Here is the story of how we got here, from investigating off-the-shelf solutions like Zipkin, to why we switched from pull to push architecture, and how distributed tracing will continue to evolve:

https://eng.uber.com/distributed-tracing/

(GitHub Pages : https://www.jaegertracing.io/, GitHub: https://github.com/jaegertracing/jaeger)

Bindings/Operator: Python Java Node.js Go C++ Kubernetes JavaScript OpenShift C# Apache Spark