Alternatives to MonoGame logo

Alternatives to MonoGame

libGDX, Xamarin, Godot, SDL, and JavaScript are the most popular alternatives and competitors to MonoGame.
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What is MonoGame and what are its top alternatives?

MonoGame is a popular open-source framework that enables developers to create cross-platform games with C#. It provides a high-level API for game development, supporting multiple platforms such as Windows, macOS, Linux, iOS, Android, and more. MonoGame allows for code reusability and rapid development, making it a favorite among indie game developers. However, some limitations of MonoGame include its steep learning curve for beginners and the lack of built-in support for advanced features like physics engines.

  1. Unity: Unity is a powerful game development platform that offers a wide range of tools and features for creating 2D and 3D games. It provides a user-friendly interface, extensive documentation, and a large community of developers. Pros of Unity include cross-platform support, asset store for easy integration of assets, and built-in physics engine. Cons include a steep learning curve for beginners and a subscription-based pricing model.

  2. Godot Engine: Godot Engine is a free and open-source game engine that is easy to use and lightweight. It supports 2D and 3D game development, offers a visual editor, and has a dedicated scripting language (GDScript). Pros of Godot Engine include a strong community, cross-platform support, and a flexible node-based architecture. The cons include limited third-party libraries and plugins compared to other engines.

  3. Phaser: Phaser is a fast, flexible, and free HTML5 game framework that allows for easy development of mobile and desktop games. It provides a robust set of features for 2D game development, supports multiple platforms, and has excellent documentation. Pros of Phaser include a lightweight footprint, active community, and a variety of plugins and extensions. Cons include limited support for 3D game development and less intuitive user interface compared to other engines.

  4. Unreal Engine: Unreal Engine is a powerful game development platform known for its stunning graphics and advanced features. It supports both 2D and 3D game development, provides a visual scripting system (Blueprints), and has a robust set of tools for creating immersive experiences. Pros of Unreal Engine include high-quality visuals, advanced physics engine, and strong industry presence. Cons include a steep learning curve and royalty fees for commercial projects.

  5. GameMaker Studio: GameMaker Studio is a user-friendly game development platform that is ideal for beginners and indie developers. It offers drag-and-drop functionality, a scripting language (GML), and supports both 2D and limited 3D game development. Pros of GameMaker Studio include rapid prototyping, multi-platform support, and a large community. Cons include limitations on complex game mechanics and performance for high-end 3D games.

  6. Cocos2d-x: Cocos2d-x is a popular open-source game engine that is optimized for developing mobile games. It supports 2D game development, provides a rich set of features, and offers cross-platform compatibility. Pros of Cocos2d-x include rapid development, extensive documentation, and a large community. Cons include a steep learning curve for beginners and limited support for 3D game development compared to other engines.

  7. LÖVE: LÖVE is a lightweight framework for creating 2D games using the Lua scripting language. It is free, open-source, and easy to learn, making it a great choice for beginners and small projects. Pros of LÖVE include simplicity, fast development process, and active community. Cons include limited support for complex game mechanics and fewer built-in features compared to other engines.

  8. LibGDX: LibGDX is a cross-platform game development framework that focuses on performance and flexibility. It supports 2D and 3D game development, provides a Java-based API, and offers tools for efficient game creation. Pros of LibGDX include high performance, extensive documentation, and strong community support. Cons include a steeper learning curve for beginners and fewer visual editing tools compared to other engines.

  9. Defold: Defold is a collaborative game development platform that emphasizes ease of collaboration and efficiency. It supports 2D game development, provides a visual editor, and offers built-in support for live updates. Pros of Defold include cloud-based collaboration, rapid iteration process, and good performance optimization. Cons include limited support for larger-scale 3D projects and a smaller community compared to other engines.

  10. PICO-8: PICO-8 is a fantasy console for making, sharing, and playing tiny games and other computer programs. It has built-in code editor, music tracker and sprite designer for creating retro-style games. Pros of PICO-8 include simplicity, creative constraints for game developers, and easy sharing of games online through the platform. Cons include limited capabilities for larger, more complex game projects and lack of advanced features compared to other engines.

Top Alternatives to MonoGame

  • libGDX
    libGDX

    The framework provides an environment for rapid prototyping and fast iterations. Instead of deploying to Android/iOS/Javascript after each code change, you can run and debug your game on the desktop, natively. Desktop JVM features like code hotswapping reduce your iteration times considerably. ...

  • Xamarin
    Xamarin

    Xamarin’s Mono-based products enable .NET developers to use their existing code, libraries and tools (including Visual Studio*), as well as skills in .NET and the C# programming language, to create mobile applications for the industry’s most widely-used mobile devices, including Android-based smartphones and tablets, iPhone, iPad and iPod Touch. ...

  • Godot
    Godot

    It is an advanced, feature-packed, multi-platform 2D and 3D open source game engine. It is developed by hundreds of contributors from all around the world. ...

  • SDL
    SDL

    It is a cross-platform development library designed to provide low level access to audio, keyboard, mouse, joystick, and graphics hardware via OpenGL and Direct3D. ...

  • 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. ...

  • Python
    Python

    Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best. ...

MonoGame alternatives & related posts

libGDX logo

libGDX

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A Java game development framework that provides a unified API that works across all supported platforms
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PROS OF LIBGDX
  • 1
    Knows exactly what happening
  • 1
    Java
  • 1
    Fully control
CONS OF LIBGDX
  • 1
    Full access to OS
  • 1
    No GUI

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Xamarin logo

Xamarin

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1.5K
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Create iOS, Android and Mac apps in C#
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PROS OF XAMARIN
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    Power of c# on mobile devices
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    Native performance
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    Native apps with native ui controls
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    No javascript - truely compiled code
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    Sharing more than 90% of code over all platforms
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    Ability to leverage visual studio
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    Mvvm pattern
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    Many great c# libraries
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    Amazing support
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    Powerful platform for .net developers
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    GUI Native look and Feel
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    Nuget package manager
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    Free
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    Backed by Microsoft
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    Enables code reuse on server
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    Faster Development
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    Use of third-party .NET libraries
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    It's free since Apr 2016
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    Best performance than other cross-platform
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    Easy Debug and Trace
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    Open Source
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    Mac IDE (Xamarin Studio)
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    Xamarin.forms is the best, it's amazing
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    That just work for every scenario
  • 5
    C# mult paradigm language
  • 5
    Power of C#, no javascript, visual studio
  • 4
    Great docs
  • 4
    Compatible to develop Hybrid apps
  • 4
    Microsoft stack
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    Microsoft backed
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    Well Designed
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    Small learning curve for Mobile developers
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    Ionic
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    Ability to leverage legacy C and C++
CONS OF XAMARIN
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    Build times
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    Visual Studio
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    Price
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    Complexity
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    Scalability
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    Nuget
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    Maturity
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    Build Tools
  • 2
    Support
  • 0
    Maturidade
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    Performance

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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...

See more
Bhupendra Madhu
Web Developer at Ecombooks · | 8 upvotes · 523.6K views

I want to learn cross-platform application frameworks like React Native, Flutter, Xamarin, or Ionic, and I'm a web developer. I can learn other programming languages as well. But I'm confused about what to learn, which framework is best, and which framework will last long as the application grows further into complexity.

See more
Godot logo

Godot

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Free and open source 2D and 3D game engine
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PROS OF GODOT
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    Open source
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    Easy to port
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    Supports both C++, C# and GDScript
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    Cross-Platform
  • 5
    Simple
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    Avaible on Steam For Free
  • 3
    GDScript is Based On Python
CONS OF GODOT
  • 1
    Harder to learn
  • 1
    Performance in 3D
  • 1
    Need opengl 2.1 / 3.3
  • 1
    Somewhat poor 3D performance and lacks automatic LODs

related Godot posts

SDL logo

SDL

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A cross-platform software development library
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PROS OF SDL
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    Actively being worked on
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    Cross-platform
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    Fast
CONS OF SDL
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    No GUI support

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JavaScript logo

JavaScript

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

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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.

See more
Conor Myhrvold
Tech Brand Mgr, Office of CTO at Uber · | 44 upvotes · 10.9M 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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Git logo

Git

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Fast, scalable, distributed revision control system
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PROS OF GIT
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    Distributed version control system
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    Efficient branching and merging
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    Fast
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    Open source
  • 726
    Better than svn
  • 368
    Great command-line application
  • 306
    Simple
  • 291
    Free
  • 232
    Easy to use
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    Does not require server
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    Distributed
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    Small & Fast
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    Feature based workflow
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    Staging Area
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    Most wide-spread VSC
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  • 11
    Disposable Experimentation
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    Data Assurance
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    Efficient
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    Just awesome
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    Github integration
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    Easy branching and merging
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    Compatible
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    Flexible
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    Possible to lose history and commits
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    Rebase supported natively; reflog; access to plumbing
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    Light
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    Team Integration
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    Fast, scalable, distributed revision control system
  • 1
    Easy
  • 1
    Flexible, easy, Safe, and fast
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    CLI is great, but the GUI tools are awesome
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    It's what you do
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    Phinx
CONS OF GIT
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    Hard to learn
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    Inconsistent command line interface
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    Easy to lose uncommitted work
  • 7
    Worst documentation ever possibly made
  • 5
    Awful merge handling
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    Unexistent preventive security flows
  • 3
    Rebase hell
  • 2
    When --force is disabled, cannot rebase
  • 2
    Ironically even die-hard supporters screw up badly
  • 1
    Doesn't scale for big data

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Simon Reymann
Senior Fullstack Developer at QUANTUSflow Software GmbH · | 30 upvotes · 9.7M 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.
See more
Tymoteusz Paul
Devops guy at X20X Development LTD · | 23 upvotes · 8.7M 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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GitHub logo

GitHub

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Powerful collaboration, review, and code management for open source and private development projects
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PROS OF GITHUB
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    Open source friendly
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    Easy source control
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    Nice UI
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  • 112
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  • 83
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  • 60
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  • 60
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  • 56
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  • 49
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  • 43
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  • 34
    Developer Profiles
  • 32
    Git Powered Wikis
  • 30
    Great for collaboration
  • 24
    It's fun
  • 23
    Clean interface and good integrations
  • 22
    Community SDK involvement
  • 20
    Learn from others source code
  • 16
    Because: Git
  • 14
    It integrates directly with Azure
  • 10
    Standard in Open Source collab
  • 10
    Newsfeed
  • 8
    It integrates directly with Hipchat
  • 8
    Fast
  • 8
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  • 7
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  • 6
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  • 6
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  • 6
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  • 6
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  • 5
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    Hands down best online Git service available
  • 4
    Uses GIT
  • 4
    Version Control
  • 4
    Simple but powerful
  • 4
    Unlimited Public Repos at no cost
  • 4
    Free HTML hosting
  • 4
    Security options
  • 4
    Loved by developers
  • 4
    Easy to use and collaborate with others
  • 3
    Ci
  • 3
    IAM
  • 3
    Nice to use
  • 3
    Easy deployment via SSH
  • 2
    Easy to use
  • 2
    Leads the copycats
  • 2
    All in one development service
  • 2
    Free private repos
  • 2
    Free HTML hostings
  • 2
    Easy and efficient maintainance of the projects
  • 2
    Beautiful
  • 2
    Easy source control and everything is backed up
  • 2
    IAM integration
  • 2
    Very Easy to Use
  • 2
    Good tools support
  • 2
    Issues tracker
  • 2
    Never dethroned
  • 2
    Self Hosted
  • 1
    Dasf
  • 1
    Profound
CONS OF GITHUB
  • 54
    Owned by micrcosoft
  • 38
    Expensive for lone developers that want private repos
  • 15
    Relatively slow product/feature release cadence
  • 10
    API scoping could be better
  • 9
    Only 3 collaborators for private repos
  • 4
    Limited featureset for issue management
  • 3
    Does not have a graph for showing history like git lens
  • 2
    GitHub Packages does not support SNAPSHOT versions
  • 1
    No multilingual interface
  • 1
    Takes a long time to commit
  • 1
    Expensive

related GitHub 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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Russel Werner
Lead Engineer at StackShare · | 32 upvotes · 2.5M views

StackShare Feed is built entirely with React, Glamorous, and Apollo. One of our objectives with the public launch of the Feed was to enable a Server-side rendered (SSR) experience for our organic search traffic. When you visit the StackShare Feed, and you aren't logged in, you are delivered the Trending feed experience. We use an in-house Node.js rendering microservice to generate this HTML. This microservice needs to run and serve requests independent of our Rails web app. Up until recently, we had a mono-repo with our Rails and React code living happily together and all served from the same web process. In order to deploy our SSR app into a Heroku environment, we needed to split out our front-end application into a separate repo in GitHub. The driving factor in this decision was mostly due to limitations imposed by Heroku specifically with how processes can't communicate with each other. A new SSR app was created in Heroku and linked directly to the frontend repo so it stays in-sync with changes.

Related to this, we need a way to "deploy" our frontend changes to various server environments without building & releasing the entire Ruby application. We built a hybrid Amazon S3 Amazon CloudFront solution to host our Webpack bundles. A new CircleCI script builds the bundles and uploads them to S3. The final step in our rollout is to update some keys in Redis so our Rails app knows which bundles to serve. The result of these efforts were significant. Our frontend team now moves independently of our backend team, our build & release process takes only a few minutes, we are now using an edge CDN to serve JS assets, and we have pre-rendered React pages!

#StackDecisionsLaunch #SSR #Microservices #FrontEndRepoSplit

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Python logo

Python

240.6K
196.3K
6.9K
A clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.
240.6K
196.3K
+ 1
6.9K
PROS OF PYTHON
  • 1.2K
    Great libraries
  • 961
    Readable code
  • 846
    Beautiful code
  • 787
    Rapid development
  • 689
    Large community
  • 435
    Open source
  • 393
    Elegant
  • 282
    Great community
  • 272
    Object oriented
  • 220
    Dynamic typing
  • 77
    Great standard library
  • 59
    Very fast
  • 55
    Functional programming
  • 49
    Easy to learn
  • 45
    Scientific computing
  • 35
    Great documentation
  • 29
    Productivity
  • 28
    Easy to read
  • 28
    Matlab alternative
  • 23
    Simple is better than complex
  • 20
    It's the way I think
  • 19
    Imperative
  • 18
    Free
  • 18
    Very programmer and non-programmer friendly
  • 17
    Powerfull language
  • 17
    Machine learning support
  • 16
    Fast and simple
  • 14
    Scripting
  • 12
    Explicit is better than implicit
  • 11
    Ease of development
  • 10
    Clear and easy and powerfull
  • 9
    Unlimited power
  • 8
    It's lean and fun to code
  • 8
    Import antigravity
  • 7
    Print "life is short, use python"
  • 7
    Python has great libraries for data processing
  • 6
    Although practicality beats purity
  • 6
    Flat is better than nested
  • 6
    Great for tooling
  • 6
    Rapid Prototyping
  • 6
    Readability counts
  • 6
    High Documented language
  • 6
    I love snakes
  • 6
    Fast coding and good for competitions
  • 6
    There should be one-- and preferably only one --obvious
  • 6
    Now is better than never
  • 5
    Great for analytics
  • 5
    Lists, tuples, dictionaries
  • 4
    Easy to learn and use
  • 4
    Simple and easy to learn
  • 4
    Easy to setup and run smooth
  • 4
    Web scraping
  • 4
    CG industry needs
  • 4
    Socially engaged community
  • 4
    Complex is better than complicated
  • 4
    Multiple Inheritence
  • 4
    Beautiful is better than ugly
  • 4
    Plotting
  • 3
    If the implementation is hard to explain, it's a bad id
  • 3
    Special cases aren't special enough to break the rules
  • 3
    Pip install everything
  • 3
    List comprehensions
  • 3
    No cruft
  • 3
    Generators
  • 3
    Import this
  • 3
    It is Very easy , simple and will you be love programmi
  • 3
    Many types of collections
  • 3
    If the implementation is easy to explain, it may be a g
  • 2
    Batteries included
  • 2
    Should START with this but not STICK with This
  • 2
    Powerful language for AI
  • 2
    Can understand easily who are new to programming
  • 2
    Flexible and easy
  • 2
    Good for hacking
  • 2
    A-to-Z
  • 2
    Because of Netflix
  • 2
    Only one way to do it
  • 2
    Better outcome
  • 1
    Sexy af
  • 1
    Slow
  • 1
    Securit
  • 0
    Ni
  • 0
    Powerful
CONS OF PYTHON
  • 53
    Still divided between python 2 and python 3
  • 28
    Performance impact
  • 26
    Poor syntax for anonymous functions
  • 22
    GIL
  • 19
    Package management is a mess
  • 14
    Too imperative-oriented
  • 12
    Hard to understand
  • 12
    Dynamic typing
  • 12
    Very slow
  • 8
    Indentations matter a lot
  • 8
    Not everything is expression
  • 7
    Incredibly slow
  • 7
    Explicit self parameter in methods
  • 6
    Requires C functions for dynamic modules
  • 6
    Poor DSL capabilities
  • 6
    No anonymous functions
  • 5
    Fake object-oriented programming
  • 5
    Threading
  • 5
    The "lisp style" whitespaces
  • 5
    Official documentation is unclear.
  • 5
    Hard to obfuscate
  • 5
    Circular import
  • 4
    Lack of Syntax Sugar leads to "the pyramid of doom"
  • 4
    The benevolent-dictator-for-life quit
  • 4
    Not suitable for autocomplete
  • 2
    Meta classes
  • 1
    Training wheels (forced indentation)

related Python posts

Conor Myhrvold
Tech Brand Mgr, Office of CTO at Uber · | 44 upvotes · 10.9M 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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Nick Parsons
Building cool things on the internet 🛠️ at Stream · | 35 upvotes · 3.9M views

Winds 2.0 is an open source Podcast/RSS reader developed by Stream with a core goal to enable a wide range of developers to contribute.

We chose JavaScript because nearly every developer knows or can, at the very least, read JavaScript. With ES6 and Node.js v10.x.x, it’s become a very capable language. Async/Await is powerful and easy to use (Async/Await vs Promises). Babel allows us to experiment with next-generation JavaScript (features that are not in the official JavaScript spec yet). Yarn allows us to consistently install packages quickly (and is filled with tons of new tricks)

We’re using JavaScript for everything – both front and backend. Most of our team is experienced with Go and Python, so Node was not an obvious choice for this app.

Sure... there will be haters who refuse to acknowledge that there is anything remotely positive about JavaScript (there are even rants on Hacker News about Node.js); however, without writing completely in JavaScript, we would not have seen the results we did.

#FrameworksFullStack #Languages

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