Alternatives to ASP.NET Core logo

Alternatives to ASP.NET Core

ASP.NET, Django, Spring Boot, React, and Blazor are the most popular alternatives and competitors to ASP.NET Core.
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What is ASP.NET Core and what are its top alternatives?

ASP.NET Core is a free, open-source, cross-platform framework for building modern, cloud-based, internet-connected applications. It is a high-performance, modular framework that enables developers to create web applications, APIs, and microservices using C# and .NET. Key features of ASP.NET Core include cross-platform support, integrated dependency injection, and built-in support for cloud-based development. However, some limitations of ASP.NET Core include a steeper learning curve for beginners and a smaller ecosystem compared to other frameworks.

  1. Node.js: Node.js is a popular open-source, cross-platform JavaScript runtime that allows developers to build scalable network applications. Key features include asynchronous, event-driven I/O, and a large ecosystem of libraries and frameworks. Pros of Node.js compared to ASP.NET Core include fast execution times and a large community, while cons include callback hell and potential performance issues with synchronous code.

  2. Django: Django is a high-level Python web framework that promotes rapid development and clean, pragmatic design. Key features include an object-relational mapper, built-in authentication system, and a powerful templating system. Pros of Django compared to ASP.NET Core include a robust built-in admin interface and strong community support, while cons include a steeper learning curve for beginners.

  3. Spring Boot: Spring Boot is an open-source Java-based framework that simplifies the development of enterprise-grade applications. Key features include auto-configuration, embedded servers, and production-ready features. Pros of Spring Boot compared to ASP.NET Core include a strong ecosystem of libraries and tools and support for Java programming language, while cons include verbosity and boilerplate code.

  4. Express.js: Express.js is a fast, unopinionated, minimalist web framework for Node.js that simplifies the development of web applications and APIs. Key features include middleware support, routing, and template engines. Pros of Express.js compared to ASP.NET Core include simplicity and flexibility, while cons include lack of built-in features compared to other frameworks.

  5. Ruby on Rails: Ruby on Rails is a popular open-source web framework written in Ruby that follows the MVC pattern and emphasizes convention over configuration. Key features include scaffolding, integrated testing, and seamless database migrations. Pros of Ruby on Rails compared to ASP.NET Core include rapid development speed and simplicity, while cons include performance limitations for large-scale applications.

  6. Laravel: Laravel is a PHP web framework that provides an elegant syntax and development environment for building web applications. Key features include a fluent query builder, authentication, and routing. Pros of Laravel compared to ASP.NET Core include a modern PHP development experience and a large ecosystem of packages, while cons include slower performance compared to other frameworks.

  7. Flask: Flask is a lightweight Python web framework that is easy to learn and simple to use. Key features include built-in development server, Jinja2 templating, and support for extensions. Pros of Flask compared to ASP.NET Core include flexibility and minimalistic design, while cons include lack of built-in features compared to other frameworks.

  8. Vue.js: Vue.js is a progressive JavaScript framework for building user interfaces. Key features include reactivity, component-based architecture, and a small core size. Pros of Vue.js compared to ASP.NET Core include simplicity and ease of use, while cons include potential challenges with larger and more complex applications.

  9. React: React is a popular JavaScript library for building user interfaces, developed by Facebook. Key features include virtual DOM, component-based architecture, and unidirectional data flow. Pros of React compared to ASP.NET Core include performance optimizations and strong community support, while cons include potential complexity for beginners.

  10. Go (Golang): Go is a statically typed, compiled programming language designed for building efficient, reliable, and scalable software. Key features include goroutines, channels, and a simple and concise syntax. Pros of Go compared to ASP.NET Core include fast execution speed and built-in support for concurrent programming, while cons include a smaller ecosystem compared to other languages.

Top Alternatives to ASP.NET Core

  • ASP.NET
    ASP.NET

    .NET is a developer platform made up of tools, programming languages, and libraries for building many different types of applications. ...

  • Django
    Django

    Django is a high-level Python Web framework that encourages rapid development and clean, pragmatic design. ...

  • Spring Boot
    Spring Boot

    Spring Boot makes it easy to create stand-alone, production-grade Spring based Applications that you can "just run". We take an opinionated view of the Spring platform and third-party libraries so you can get started with minimum fuss. Most Spring Boot applications need very little Spring configuration. ...

  • React
    React

    Lots of people use React as the V in MVC. Since React makes no assumptions about the rest of your technology stack, it's easy to try it out on a small feature in an existing project. ...

  • Blazor
    Blazor

    Blazor is a .NET web framework that runs in any browser. You author Blazor apps using C#/Razor and HTML. ...

  • JavaScript
    JavaScript

    JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles. ...

  • Git
    Git

    Git is a free and open source distributed version control system designed to handle everything from small to very large projects with speed and efficiency. ...

  • GitHub
    GitHub

    GitHub is the best place to share code with friends, co-workers, classmates, and complete strangers. Over three million people use GitHub to build amazing things together. ...

ASP.NET Core alternatives & related posts

ASP.NET logo

ASP.NET

28.3K
11.4K
40
An open source web framework for building modern web apps and services with .NET
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PROS OF ASP.NET
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    Great mvc
  • 13
    Easy to learn
  • 6
    C#
CONS OF ASP.NET
  • 2
    Entity framework is very slow
  • 1
    C#
  • 1
    Not highly flexible for advance Developers

related ASP.NET posts

Greg Neumann
Indie, Solo, Developer · | 8 upvotes · 1.5M views

Finding the most effective dev stack for a solo developer. Over the past year, I've been looking at many tech stacks that would be 'best' for me, as a solo, indie, developer to deliver a desktop app (Windows & Mac) plus mobile - iOS mainly. Initially, Xamarin started to stand-out. Using .NET Core as the run-time, Xamarin as the native API provider and Xamarin Forms for the UI seemed to solve all issues. But, the cracks soon started to appear. Xamarin Forms is mobile only; the Windows incarnation is different. There is no Mac UI solution (you have to code it natively in Mac OS Storyboard. I was also worried how Xamarin Forms , if I was to use it, was going to cope, in future, with Apple's new SwiftUI and Google's new Fuchsia.

This plethora of techs for the UI-layer made me reach for the safer waters of using Web-techs for the UI. Lovely! Consistency everywhere (well, mostly). But that consistency evaporates when platform issues are addressed. There are so many web frameworks!

But, I made a simple decision. It's just me...I am clever, but there is no army of coders here. And I have big plans for a business app. How could just 1 developer go-on to deploy a decent app to Windows, iPhone, iPad & Mac OS? I remembered earlier days when I've used Microsoft's ASP.NET to scaffold - generate - loads of Code for a web-app that I needed for several charities that I worked with. What 'generators' exist that do a lot of the platform-specific rubbish, allow the necessary customisation of such platform integration and provide a decent UI?

I've placed my colours to the Quasar Framework mast. Oh dear, that means Electron desktop apps doesn't it? Well, Ive had enough of loads of Developers saying that "the menus won't look native" or "it uses too much RAM" and so on. I've been using non-native UI-wrapped apps for ages - the date picker in Outlook on iOS is way better than the native date-picker and I'd been using it for years without getting hot under the collar about it. Developers do get so hung-up on things that busy Users hardly notice; don't you think?. As to the RAM usage issue; that's a bit true. But Users only really notice when an app uses so much RAM that the machine starts to page-out. Electron contributes towards that horizon but does not cause it. My Users will be business-users after all. Somewhat decent machines.

Looking forward to all that lovely Vue.js around my TypeScript and all those really, really, b e a u t I f u l UI controls of Quasar Framework . Still not sure that 1 dev can deliver all that... but I'm up for trying...

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Shared insights
on
ASP.NETASP.NETPostgreSQLPostgreSQLLaravelLaravel

I am looking for a new framework to learn and achieve more efficient development. I come mainly from Laravel, which greatly simplifies development, but is somewhat slow for the volumes of data that I usually handle (although very stable) and it falls far behind in terms of simultaneous connections.

I'm looking for something that responds well to high concurrency, adapts well to server resources (cores) without the need to be concerned about consciously multi-threading or similar things, has a good ORM and friendly integration with PostgreSQL, request validation, And of course, it is scalable.

The main use would be for API development and behind the scenes processing of large volumes of data (50M on average, although this goes hand in hand with the database and server capacity)..

The last framework I would include but couldn't is ASP.NET MVC.

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Django logo

Django

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33.7K
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The Web framework for perfectionists with deadlines
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PROS OF DJANGO
  • 672
    Rapid development
  • 488
    Open source
  • 425
    Great community
  • 379
    Easy to learn
  • 277
    Mvc
  • 232
    Beautiful code
  • 223
    Elegant
  • 207
    Free
  • 203
    Great packages
  • 194
    Great libraries
  • 80
    Comes with auth and crud admin panel
  • 79
    Restful
  • 78
    Powerful
  • 76
    Great documentation
  • 72
    Great for web
  • 57
    Python
  • 43
    Great orm
  • 41
    Great for api
  • 32
    All included
  • 29
    Fast
  • 25
    Web Apps
  • 23
    Clean
  • 23
    Easy setup
  • 21
    Used by top startups
  • 19
    Sexy
  • 19
    ORM
  • 15
    The Django community
  • 14
    Allows for very rapid development with great libraries
  • 14
    Convention over configuration
  • 11
    King of backend world
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    Full stack
  • 10
    Great MVC and templating engine
  • 8
    Mvt
  • 8
    Fast prototyping
  • 7
    Its elegant and practical
  • 7
    Easy to develop end to end AI Models
  • 7
    Batteries included
  • 6
    Have not found anything that it can't do
  • 6
    Very quick to get something up and running
  • 6
    Cross-Platform
  • 5
    Zero code burden to change databases
  • 5
    Great peformance
  • 5
    Python community
  • 5
    Easy Structure , useful inbuilt library
  • 4
    Easy to use
  • 4
    Map
  • 4
    Easy to change database manager
  • 4
    Full-Text Search
  • 4
    Just the right level of abstraction
  • 4
    Many libraries
  • 4
    Modular
  • 4
    Easy
  • 3
    Scaffold
  • 1
    Node js
  • 1
    Built in common security
  • 1
    Great default admin panel
  • 1
    Scalable
  • 1
    Cons
  • 1
    Gigante ta
  • 1
    Fastapi
  • 0
    Rails
CONS OF DJANGO
  • 26
    Underpowered templating
  • 22
    Autoreload restarts whole server
  • 22
    Underpowered ORM
  • 15
    URL dispatcher ignores HTTP method
  • 10
    Internal subcomponents coupling
  • 8
    Not nodejs
  • 8
    Configuration hell
  • 7
    Admin
  • 5
    Not as clean and nice documentation like Laravel
  • 4
    Python
  • 3
    Not typed
  • 3
    Bloated admin panel included
  • 2
    Overwhelming folder structure
  • 2
    InEffective Multithreading
  • 1
    Not type safe

related Django posts

Dmitry Mukhin
Engineer at Uploadcare · | 25 upvotes · 2.4M views

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.

See more

Hey, so I developed a basic application with Python. But to use it, you need a python interpreter. I want to add a GUI to make it more appealing. What should I choose to develop a GUI? I have very basic skills in front end development (CSS, JavaScript). I am fluent in python. I'm looking for a tool that is easy to use and doesn't require too much code knowledge. I have recently tried out Flask, but it is kinda complicated. Should I stick with it, move to Django, or is there another nice framework to use?

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Spring Boot logo

Spring Boot

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Create Spring-powered, production-grade applications and services with absolute minimum fuss
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PROS OF SPRING BOOT
  • 149
    Powerful and handy
  • 134
    Easy setup
  • 128
    Java
  • 90
    Spring
  • 85
    Fast
  • 46
    Extensible
  • 37
    Lots of "off the shelf" functionalities
  • 32
    Cloud Solid
  • 26
    Caches well
  • 24
    Productive
  • 24
    Many receipes around for obscure features
  • 23
    Modular
  • 23
    Integrations with most other Java frameworks
  • 22
    Spring ecosystem is great
  • 21
    Auto-configuration
  • 21
    Fast Performance With Microservices
  • 18
    Community
  • 17
    Easy setup, Community Support, Solid for ERP apps
  • 15
    One-stop shop
  • 14
    Easy to parallelize
  • 14
    Cross-platform
  • 13
    Easy setup, good for build erp systems, well documented
  • 13
    Powerful 3rd party libraries and frameworks
  • 12
    Easy setup, Git Integration
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    It's so easier to start a project on spring
  • 4
    Kotlin
  • 1
    Microservice and Reactive Programming
  • 1
    The ability to integrate with the open source ecosystem
CONS OF SPRING BOOT
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    Heavy weight
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    Annotation ceremony
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    Java
  • 11
    Many config files needed
  • 5
    Reactive
  • 4
    Excellent tools for cloud hosting, since 5.x
  • 1
    Java 😒😒

related Spring Boot posts

Praveen Mooli
Engineering Manager at Taylor and Francis · | 19 upvotes · 3.9M views

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

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Is learning Spring and Spring Boot for web apps back-end development is still relevant in 2021? Feel free to share your views with comparison to Django/Node.js/ ExpressJS or other frameworks.

Please share some good beginner resources to start learning about spring/spring boot framework to build the web apps.

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React logo

React

170.6K
140.9K
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A JavaScript library for building user interfaces
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PROS OF REACT
  • 830
    Components
  • 672
    Virtual dom
  • 578
    Performance
  • 508
    Simplicity
  • 442
    Composable
  • 186
    Data flow
  • 166
    Declarative
  • 128
    Isn't an mvc framework
  • 120
    Reactive updates
  • 115
    Explicit app state
  • 50
    JSX
  • 29
    Learn once, write everywhere
  • 22
    Easy to Use
  • 21
    Uni-directional data flow
  • 17
    Works great with Flux Architecture
  • 11
    Great perfomance
  • 10
    Javascript
  • 9
    Built by Facebook
  • 8
    TypeScript support
  • 6
    Server Side Rendering
  • 6
    Speed
  • 5
    Feels like the 90s
  • 5
    Excellent Documentation
  • 5
    Props
  • 5
    Functional
  • 5
    Easy as Lego
  • 5
    Closer to standard JavaScript and HTML than others
  • 5
    Cross-platform
  • 5
    Easy to start
  • 5
    Hooks
  • 5
    Awesome
  • 5
    Scalable
  • 4
    Super easy
  • 4
    Allows creating single page applications
  • 4
    Server side views
  • 4
    Sdfsdfsdf
  • 4
    Start simple
  • 4
    Strong Community
  • 4
    Fancy third party tools
  • 4
    Scales super well
  • 3
    Has arrow functions
  • 3
    Beautiful and Neat Component Management
  • 3
    Just the View of MVC
  • 3
    Simple, easy to reason about and makes you productive
  • 3
    Fast evolving
  • 3
    SSR
  • 3
    Great migration pathway for older systems
  • 3
    Rich ecosystem
  • 3
    Simple
  • 3
    Has functional components
  • 3
    Every decision architecture wise makes sense
  • 3
    Very gentle learning curve
  • 2
    Split your UI into components with one true state
  • 2
    Image upload
  • 2
    Permissively-licensed
  • 2
    Fragments
  • 2
    Sharable
  • 2
    Recharts
  • 2
    HTML-like
  • 1
    React hooks
  • 1
    Datatables
CONS OF REACT
  • 41
    Requires discipline to keep architecture organized
  • 30
    No predefined way to structure your app
  • 29
    Need to be familiar with lots of third party packages
  • 13
    JSX
  • 10
    Not enterprise friendly
  • 6
    One-way binding only
  • 3
    State consistency with backend neglected
  • 3
    Bad Documentation
  • 2
    Error boundary is needed
  • 2
    Paradigms change too fast

related React posts

Johnny Bell

I was building a personal project that I needed to store items in a real time database. I am more comfortable with my Frontend skills than my backend so I didn't want to spend time building out anything in Ruby or Go.

I stumbled on Firebase by #Google, and it was really all I needed. It had realtime data, an area for storing file uploads and best of all for the amount of data I needed it was free!

I built out my application using tools I was familiar with, React for the framework, Redux.js to manage my state across components, and styled-components for the styling.

Now as this was a project I was just working on in my free time for fun I didn't really want to pay for hosting. I did some research and I found Netlify. I had actually seen them at #ReactRally the year before and deployed a Gatsby site to Netlify already.

Netlify was very easy to setup and link to my GitHub account you select a repo and pretty much with very little configuration you have a live site that will deploy every time you push to master.

With the selection of these tools I was able to build out my application, connect it to a realtime database, and deploy to a live environment all with $0 spent.

If you're looking to build out a small app I suggest giving these tools a go as you can get your idea out into the real world for absolutely no cost.

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Zach Holman

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.

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Blazor logo

Blazor

520
701
445
An experimental web UI framework using C#/Razor and HTML, running in the browser via WebAssembly
520
701
+ 1
445
PROS OF BLAZOR
  • 63
    Uses C#
  • 49
    No need to learn separate language or technology
  • 42
    Supports making a single page application
  • 40
    Tight integration with .NET project
  • 38
    Uses .NET standard library
  • 30
    Very little JavaScript required
  • 29
    Components
  • 27
    No need to compile, bundle and deploy separately
  • 27
    Shared classes between client and server
  • 24
    Cross Platform
  • 21
    Has Server AND Client hosting models
  • 18
    Very easy JavaScript interop if required
  • 17
    Third party state management i.e. Blazor-State
  • 14
    App state can be managed singleton objects
  • 4
    Portable Code across Mobile, Web and Desktop
  • 2
    Work with Electron/MAUI
CONS OF BLAZOR
  • 4
    Initial load time
  • 2
    Hard to inject javascript

related Blazor posts

The only two programming languages I know are Python and Dart, I fall in love with Dart when I learned about the type safeness, ease of refactoring, and the help of the IDE. I have an idea for an app, a simple app, but I need SEO and server rendering, and I also want it to be available on all platforms. I can't use Flutter or Dart anymore because of that. I have been searching and looks like there is no way to avoid learning HTML and CSS for this. I want to use Supabase as BASS, at the moment I think that I have two options if I want to learn the least amount of things because of my lack of time available:

  1. Quasar Framework: They claim that I can do all the things I need, but I have to use JavaScript, and I am going to have all those bugs with a type-safe programming language avoidable. I guess I can use TypeScript?, but that means learning both, and I am not sure if I will be able to use 100% Typescript. Besides Vue.js, Node.js, etc.

  2. Blazor and .NET: There is MAUI with razor bindings in .Net now, and also a Blazor server. And as far as I can see, the transition from Dart to C# will be easy. I guess that I have to learn some Javascript here and there, but I have to less things I guess, am I wrong? But Blazor is a new technology, Vue is widely used.

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JavaScript logo

JavaScript

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269.7K
8.1K
Lightweight, interpreted, object-oriented language with first-class functions
354.7K
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PROS OF JAVASCRIPT
  • 1.7K
    Can be used on frontend/backend
  • 1.5K
    It's everywhere
  • 1.2K
    Lots of great frameworks
  • 897
    Fast
  • 745
    Light weight
  • 425
    Flexible
  • 392
    You can't get a device today that doesn't run js
  • 286
    Non-blocking i/o
  • 237
    Ubiquitousness
  • 191
    Expressive
  • 55
    Extended functionality to web pages
  • 49
    Relatively easy language
  • 46
    Executed on the client side
  • 30
    Relatively fast to the end user
  • 25
    Pure Javascript
  • 21
    Functional programming
  • 15
    Async
  • 13
    Full-stack
  • 12
    Setup is easy
  • 12
    Future Language of The Web
  • 12
    Its everywhere
  • 11
    Because I love functions
  • 11
    JavaScript is the New PHP
  • 10
    Like it or not, JS is part of the web standard
  • 9
    Everyone use it
  • 9
    Expansive community
  • 9
    Easy
  • 9
    Can be used in backend, frontend and DB
  • 8
    Easy to hire developers
  • 8
    No need to use PHP
  • 8
    For the good parts
  • 8
    Can be used both as frontend and backend as well
  • 8
    Powerful
  • 8
    Most Popular Language in the World
  • 7
    Evolution of C
  • 7
    Hard not to use
  • 7
    Versitile
  • 7
    Its fun and fast
  • 7
    Supports lambdas and closures
  • 7
    Love-hate relationship
  • 7
    Photoshop has 3 JS runtimes built in
  • 7
    Nice
  • 7
    It's fun
  • 7
    Popularized Class-Less Architecture & Lambdas
  • 7
    Agile, packages simple to use
  • 6
    Can be used on frontend/backend/Mobile/create PRO Ui
  • 6
    1.6K Can be used on frontend/backend
  • 6
    Client side JS uses the visitors CPU to save Server Res
  • 6
    It let's me use Babel & Typescript
  • 6
    Easy to make something
  • 5
    Client processing
  • 5
    Everywhere
  • 5
    Scope manipulation
  • 5
    Function expressions are useful for callbacks
  • 5
    Stockholm Syndrome
  • 5
    Promise relationship
  • 5
    Clojurescript
  • 5
    What to add
  • 4
    Only Programming language on browser
  • 4
    Because it is so simple and lightweight
  • 1
    Easy to understand
  • 1
    Test
  • 1
    Test2
  • 1
    Subskill #4
  • 1
    Easy to learn
  • 1
    Hard to learn
  • 1
    Not the best
  • 0
    Hard 彤
CONS OF JAVASCRIPT
  • 22
    A constant moving target, too much churn
  • 20
    Horribly inconsistent
  • 15
    Javascript is the New PHP
  • 9
    No ability to monitor memory utilitization
  • 8
    Shows Zero output in case of ANY error
  • 7
    Thinks strange results are better than errors
  • 6
    Can be ugly
  • 3
    No GitHub
  • 2
    Slow
  • 0
    HORRIBLE DOCUMENTS, faulty code, repo has bugs

related JavaScript posts

Zach Holman

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.

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Conor Myhrvold
Tech Brand Mgr, Office of CTO at Uber · | 44 upvotes · 11.3M views

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

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    Possible to lose history and commits
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    Unexistent preventive security flows
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Simon Reymann
Senior Fullstack Developer at QUANTUSflow Software GmbH · | 30 upvotes · 10M views

Our whole DevOps stack consists of the following tools:

  • GitHub (incl. GitHub Pages/Markdown for Documentation, GettingStarted and HowTo's) for collaborative review and code management tool
  • Respectively Git as revision control system
  • SourceTree as Git GUI
  • Visual Studio Code as IDE
  • CircleCI for continuous integration (automatize development process)
  • Prettier / TSLint / ESLint as code linter
  • SonarQube as quality gate
  • Docker as container management (incl. Docker Compose for multi-container application management)
  • VirtualBox for operating system simulation tests
  • Kubernetes as cluster management for docker containers
  • Heroku for deploying in test environments
  • nginx as web server (preferably used as facade server in production environment)
  • SSLMate (using OpenSSL) for certificate management
  • Amazon EC2 (incl. Amazon S3) for deploying in stage (production-like) and production environments
  • PostgreSQL as preferred database system
  • Redis as preferred in-memory database/store (great for caching)

The main reason we have chosen Kubernetes over Docker Swarm is related to the following artifacts:

  • Key features: Easy and flexible installation, Clear dashboard, Great scaling operations, Monitoring is an integral part, Great load balancing concepts, Monitors the condition and ensures compensation in the event of failure.
  • Applications: An application can be deployed using a combination of pods, deployments, and services (or micro-services).
  • Functionality: Kubernetes as a complex installation and setup process, but it not as limited as Docker Swarm.
  • Monitoring: It supports multiple versions of logging and monitoring when the services are deployed within the cluster (Elasticsearch/Kibana (ELK), Heapster/Grafana, Sysdig cloud integration).
  • Scalability: All-in-one framework for distributed systems.
  • Other Benefits: Kubernetes is backed by the Cloud Native Computing Foundation (CNCF), huge community among container orchestration tools, it is an open source and modular tool that works with any OS.
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Tymoteusz Paul
Devops guy at X20X Development LTD · | 23 upvotes · 9M views

Often enough I have to explain my way of going about setting up a CI/CD pipeline with multiple deployment platforms. Since I am a bit tired of yapping the same every single time, I've decided to write it up and share with the world this way, and send people to read it instead ;). I will explain it on "live-example" of how the Rome got built, basing that current methodology exists only of readme.md and wishes of good luck (as it usually is ;)).

It always starts with an app, whatever it may be and reading the readmes available while Vagrant and VirtualBox is installing and updating. Following that is the first hurdle to go over - convert all the instruction/scripts into Ansible playbook(s), and only stopping when doing a clear vagrant up or vagrant reload we will have a fully working environment. As our Vagrant environment is now functional, it's time to break it! This is the moment to look for how things can be done better (too rigid/too lose versioning? Sloppy environment setup?) and replace them with the right way to do stuff, one that won't bite us in the backside. This is the point, and the best opportunity, to upcycle the existing way of doing dev environment to produce a proper, production-grade product.

I should probably digress here for a moment and explain why. I firmly believe that the way you deploy production is the same way you should deploy develop, shy of few debugging-friendly setting. This way you avoid the discrepancy between how production work vs how development works, which almost always causes major pains in the back of the neck, and with use of proper tools should mean no more work for the developers. That's why we start with Vagrant as developer boxes should be as easy as vagrant up, but the meat of our product lies in Ansible which will do meat of the work and can be applied to almost anything: AWS, bare metal, docker, LXC, in open net, behind vpn - you name it.

We must also give proper consideration to monitoring and logging hoovering at this point. My generic answer here is to grab Elasticsearch, Kibana, and Logstash. While for different use cases there may be better solutions, this one is well battle-tested, performs reasonably and is very easy to scale both vertically (within some limits) and horizontally. Logstash rules are easy to write and are well supported in maintenance through Ansible, which as I've mentioned earlier, are at the very core of things, and creating triggers/reports and alerts based on Elastic and Kibana is generally a breeze, including some quite complex aggregations.

If we are happy with the state of the Ansible it's time to move on and put all those roles and playbooks to work. Namely, we need something to manage our CI/CD pipelines. For me, the choice is obvious: TeamCity. It's modern, robust and unlike most of the light-weight alternatives, it's transparent. What I mean by that is that it doesn't tell you how to do things, doesn't limit your ways to deploy, or test, or package for that matter. Instead, it provides a developer-friendly and rich playground for your pipelines. You can do most the same with Jenkins, but it has a quite dated look and feel to it, while also missing some key functionality that must be brought in via plugins (like quality REST API which comes built-in with TeamCity). It also comes with all the common-handy plugins like Slack or Apache Maven integration.

The exact flow between CI and CD varies too greatly from one application to another to describe, so I will outline a few rules that guide me in it: 1. Make build steps as small as possible. This way when something breaks, we know exactly where, without needing to dig and root around. 2. All security credentials besides development environment must be sources from individual Vault instances. Keys to those containers should exist only on the CI/CD box and accessible by a few people (the less the better). This is pretty self-explanatory, as anything besides dev may contain sensitive data and, at times, be public-facing. Because of that appropriate security must be present. TeamCity shines in this department with excellent secrets-management. 3. Every part of the build chain shall consume and produce artifacts. If it creates nothing, it likely shouldn't be its own build. This way if any issue shows up with any environment or version, all developer has to do it is grab appropriate artifacts to reproduce the issue locally. 4. Deployment builds should be directly tied to specific Git branches/tags. This enables much easier tracking of what caused an issue, including automated identifying and tagging the author (nothing like automated regression testing!).

Speaking of deployments, I generally try to keep it simple but also with a close eye on the wallet. Because of that, I am more than happy with AWS or another cloud provider, but also constantly peeking at the loads and do we get the value of what we are paying for. Often enough the pattern of use is not constantly erratic, but rather has a firm baseline which could be migrated away from the cloud and into bare metal boxes. That is another part where this approach strongly triumphs over the common Docker and CircleCI setup, where you are very much tied in to use cloud providers and getting out is expensive. Here to embrace bare-metal hosting all you need is a help of some container-based self-hosting software, my personal preference is with Proxmox and LXC. Following that all you must write are ansible scripts to manage hardware of Proxmox, similar way as you do for Amazon EC2 (ansible supports both greatly) and you are good to go. One does not exclude another, quite the opposite, as they can live in great synergy and cut your costs dramatically (the heavier your base load, the bigger the savings) while providing production-grade resiliency.

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    Community SDK involvement
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    Learn from others source code
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    Because: Git
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    Simple but powerful
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    Security options
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    Loved by developers
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    Easy to use and collaborate with others
  • 3
    Ci
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    Easy deployment via SSH
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    Easy to use
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    Leads the copycats
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    All in one development service
  • 2
    Free private repos
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    Free HTML hostings
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    Easy and efficient maintainance of the projects
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    Beautiful
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    Easy source control and everything is backed up
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    IAM integration
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    Very Easy to Use
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    Good tools support
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    Issues tracker
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    Never dethroned
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    Self Hosted
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    Dasf
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CONS OF GITHUB
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    API scoping could be better
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    Only 3 collaborators for private repos
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    Limited featureset for issue management
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    Does not have a graph for showing history like git lens
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Johnny Bell

I was building a personal project that I needed to store items in a real time database. I am more comfortable with my Frontend skills than my backend so I didn't want to spend time building out anything in Ruby or Go.

I stumbled on Firebase by #Google, and it was really all I needed. It had realtime data, an area for storing file uploads and best of all for the amount of data I needed it was free!

I built out my application using tools I was familiar with, React for the framework, Redux.js to manage my state across components, and styled-components for the styling.

Now as this was a project I was just working on in my free time for fun I didn't really want to pay for hosting. I did some research and I found Netlify. I had actually seen them at #ReactRally the year before and deployed a Gatsby site to Netlify already.

Netlify was very easy to setup and link to my GitHub account you select a repo and pretty much with very little configuration you have a live site that will deploy every time you push to master.

With the selection of these tools I was able to build out my application, connect it to a realtime database, and deploy to a live environment all with $0 spent.

If you're looking to build out a small app I suggest giving these tools a go as you can get your idea out into the real world for absolutely no cost.

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Context: I wanted to create an end to end IoT data pipeline simulation in Google Cloud IoT Core and other GCP services. I never touched Terraform meaningfully until working on this project, and it's one of the best explorations in my development career. The documentation and syntax is incredibly human-readable and friendly. I'm used to building infrastructure through the google apis via Python , but I'm so glad past Sung did not make that decision. I was tempted to use Google Cloud Deployment Manager, but the templates were a bit convoluted by first impression. I'm glad past Sung did not make this decision either.

Solution: Leveraging Google Cloud Build Google Cloud Run Google Cloud Bigtable Google BigQuery Google Cloud Storage Google Compute Engine along with some other fun tools, I can deploy over 40 GCP resources using Terraform!

Check Out My Architecture: CLICK ME

Check out the GitHub repo attached

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