What is Django?
What is Node.js?
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Around the time of their Series A, Pinterest’s stack included Python and Django, with Tornado and Node.js as web servers. Memcached / Membase and Redis handled caching, with RabbitMQ handling queueing. Nginx, HAproxy and Varnish managed static-delivery and load-balancing, with persistent data storage handled by MySQL.
In late 2015, following the Series G, Pinterest began migrating their web experience to React, primarily because they “found React rendered faster than our previous template engine, had fewer obstacles to iterating on features and had a large developer community.”
The legacy setup consistent of Django, Python and Jinja on the backend, with Nunjucks handling template rendering on the client side. They wanted to move to React for handling template rendering across the board, but if they “switched the client-side rendering engine from Nunjucks to React, [they’d] also have to switch [their] server-side rendering, so they could share the same template syntax.”
Now, when a user agent makes a request, a latent module render requests that it needs data via an API call. Concurrently, a separate network call is made “to a co-located Node process to render the template as far as it can go with the data that it has.”
Node then responds with rendered templates, and along with a “holes” array to indicate what data was still needed to complete the render. Finally, the Python webapp makes an API call to fetch the remaining data, and each module is sent back to Node as completely independent module requests/in parallel/.
With this framework in place, Pinterest developers are in the process of replacing Nunjucks code with React components throughout the codebase.
Since 2011 our frontend was in Django monolith. However, in 2016 we decide to separate #Frontend from Django for independent development and created the custom isomorphic app based on Node.js and React. Now we realized that not need all abilities of the server, and it is sufficient to generate a static site. Gatsby is suitable for our purposes. We can generate HTML from markdown and React views very simply. So, we are updating our frontend to Gatsby now, and maybe we will use Netlify for deployment soon. This will speed up the delivery of new features to production.
I just finished a web app meant for a business that offers training programs for certain professional courses. I chose this stack to test out my skills in graphql and react. I used Node.js , GraphQL , MySQL for the #Backend utilizing Prisma as a database interface for MySQL to provide CRUD APIs and graphql-yoga as a server. For the #frontend I chose React, styled-components for styling, Next.js for routing and SSR and Apollo for data management. I really liked the outcome and I will definitely use this stack in future projects.
For many(if not all) small and medium size business time and cost matter a lot.
That's why languages, frameworks, tools, and services that are easy to use and provide 0 to productive in less time, it's best.
Maybe Node.js frameworks might provide better features compared to Rails but in terms of MVPs, for us Rails is the leading alternative.
Amazon EC2 might be cheaper and more customizable than Heroku but in the initial terms of a project, you need to complete configurationos and deploy early.
Advanced configurations can be done down the road, when the project is running and making money, not before.
Finally, comunication and keeping a good history of conversations, decisions, and discussions is important so we use a mix of Slack and Twist
When we started thinking about technology options for our own Design System, we wanted to focus on two primary goals
- Build a design system site using design system components - a living prototype
- Explore new ways of working to position our technical capabilities for the future
We have a small team of developers responsible for the initial build so we knew that we couldn’t spend too much time maintaining infrastructure on the Backend. We also wanted freedom to make decisions on the Frontend with the ability to adapt over time.
For this first iteration we decided to use Node.js, React, and Next.js. Content will be managed via headless CMS in prismic.io.
- Next.js so that we can run React serverside without worrying about server code.
- prismic.io so that our content is accessible via API and our frontend is fully independent.
Possible pros for Python / Django: - easy syntax, easier to learn for me as a beginner - fast development, earlier release - libraries for mathematical and scientific computation
Which software would you use in my case? Are my arguments for Python/NodeJS right? Which kind of database would you use?
Thank you for your answer!
Of all PHP frameworks, my best and only choice is Yii . Think of this: you have a MySQL database, it contains several tables. Now you want to setup a PHP-MVC site, firstly, you must create Models, Yii have a very handy tool called Gii, you can easily create model with Gii just by one click, Gii will read your database table columns and create PHP models automatically for you. Now you need Controller, still with Gii, it will automatically create all 4 php files for you with Insert/Delete/Update/Select even with Search function.
Well, now the most modern way is to have a RESTful API, that's even easier with Yii, you even don't need to care about all the columns, just 4 lines of code you can expose your database table as RESTful API with all GET/POST/PUT/DELETE support, even you change your database table columns, you don't need to change any PHP code.
For security, Yii have embedded authentication and RBAC support. For multi language, Yii have embedded i18n support, all with out-of-box. Just play with it, I bet you will love it.
Mixmax was originally built using Meteor as a single monolithic app. As more users began to onboard, we started noticing scaling issues, and so we broke out our first microservice: our Compose service, for writing emails and Sequences, was born as a Node.js service. Soon after that, we broke out all recipient searching and storage functionality to another Node.js microservice, our Contacts service. This practice of breaking out microservices in order to help our system more appropriately scale, by being more explicit about each microservice’s responsibilities, continued as we broke out numerous more microservices.
As Mixmax began to scale super quickly, with more and more customers joining the platform, we started to see that the Meteor app was still having a lot of trouble scaling due to how it tried to provide its reactivity layer. To be honest, this led to a brutal summer of playing Galaxy container whack-a-mole as containers would saturate their CPU and become unresponsive. I’ll never forget hacking away at building a new microservice to relieve the load on the system so that we’d stop getting paged every 30-40 minutes. Luckily, we’ve never had to do that again! After stabilizing the system, we had to build out two more microservices to provide the necessary reactivity and authentication layers as we rebuilt our Meteor app from the ground up in Node.js. This also had the added benefit of being able to deploy the entire application in the same AWS VPCs. Thankfully, AWS had also released their ALB product so that we didn’t have to build and maintain our own websocket layer in Amazon EC2. All of our microservices, except for one special Go one, are now in Node with an nginx frontend on each instance, all behind AWS Elastic Load Balancing (ELB) or ALBs running in AWS Elastic Beanstalk.
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 are in the process of building a modern content platform to deliver our content through various channels. We decided to go with Microservices architecture as we wanted scale. Microservice architecture style is an approach to developing an application as a suite of small independently deployable services built around specific business capabilities. You can gain modularity, extensive parallelism and cost-effective scaling by deploying services across many distributed servers. Microservices modularity facilitates independent updates/deployments, and helps to avoid single point of failure, which can help prevent large-scale outages. We also decided to use Event Driven Architecture pattern which is a popular distributed asynchronous architecture pattern used to produce highly scalable applications. The event-driven architecture is made up of highly decoupled, single-purpose event processing components that asynchronously receive and process events.
To build our #Backend capabilities we decided to use the following: 1. #Microservices - Java with Spring Boot , Node.js with ExpressJS and Python with Flask 2. #Eventsourcingframework - Amazon Kinesis , Amazon Kinesis Firehose , Amazon SNS , Amazon SQS, AWS Lambda 3. #Data - Amazon RDS , Amazon DynamoDB , Amazon S3 , MongoDB Atlas
To build #Webapps we decided to use Angular 2 with RxJS
#Devops - GitHub , Travis CI , Terraform , Docker , Serverless
At IT Minds we create customized internal or #B2B web and mobile apps. I have a go to stack that I pitch to our customers consisting of 3 core areas. 1) A data core #backend . 2) A micro #serverless #backend. 3) A user client #frontend.
For the Data Core I create a backend using TypeScript Node.js and with TypeORM connecting to a PostgreSQL Exposing an action based api with Apollo GraphQL
For the micro serverless backend, which purpose is verification for authentication, autorization, logins and the likes. It is created with Next.js api pages. Using MongoDB to store essential information, caching etc.
Finally the frontend is built with React using Next.js , TypeScript and @Apollo. We create the frontend as a PWA and have a AMP landing page by default.
I've been using Django for quite a long time and in my opinion I would never switch from it. My company is currently using Django with REST framework and a part in GraphQL using Graphene. On the frontend we use Next.js and so far everything has been running quite good. I've found limitations but manage to solve it.
As someone mentioned before, if you are comfortable with Django, don't switch. There's no need since with django you can basically achieve anything. Of course this will depend on the project you want to build, but the scalability and flexibility django can offer it's just out of this world. (Don't want to sound like a fan boy haha but it really is).
I want to create a video sharing service like Youtube, which users can use to upload and watch videos. I prefer to use Vue.js for front-end. What do you suggest for the back-end? Node.js or Laravel ( PHP ) I need a good performance with high speed, and the most important thing is the ability to handle user's requests if the site's traffic increases. I want to create an algorithm that users who watch others videos earn points (randomly but in clear context) If you have anything else to improve, please let me know. For eg: If you prefer React to Vue.js. Thanks in advance