Alternatives to Perl logo

Alternatives to Perl

PHP, Ruby, C lang, Java, and Python are the most popular alternatives and competitors to Perl.
3.4K
927
+ 1
574

What is Perl and what are its top alternatives?

Perl is a general-purpose programming language originally developed for text manipulation and now used for a wide range of tasks including system administration, web development, network programming, GUI development, and more.
Perl is a tool in the Languages category of a tech stack.
Perl is an open source tool with 1.8K GitHub stars and 510 GitHub forks. Here’s a link to Perl's open source repository on GitHub

Top Alternatives to Perl

  • PHP
    PHP

    Fast, flexible and pragmatic, PHP powers everything from your blog to the most popular websites in the world. ...

  • Ruby
    Ruby

    Ruby is a language of careful balance. Its creator, Yukihiro “Matz” Matsumoto, blended parts of his favorite languages (Perl, Smalltalk, Eiffel, Ada, and Lisp) to form a new language that balanced functional programming with imperative programming. ...

  • C lang
  • Java
    Java

    Java is a programming language and computing platform first released by Sun Microsystems in 1995. There are lots of applications and websites that will not work unless you have Java installed, and more are created every day. Java is fast, secure, and reliable. From laptops to datacenters, game consoles to scientific supercomputers, cell phones to the Internet, Java is everywhere! ...

  • 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. ...

  • PowerShell
    PowerShell

    A command-line shell and scripting language built on .NET. Helps system administrators and power-users rapidly automate tasks that manage operating systems (Linux, macOS, and Windows) and processes. ...

  • 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. ...

  • AWK
    AWK

    A data-driven scripting language consisting of a set of actions to be taken against streams of textual data – either run directly on files or used as part of a pipeline – for purposes of extracting or transforming text, such as producing formatted reports. ...

Perl alternatives & related posts

PHP logo

PHP

141.8K
79.2K
4.6K
A popular general-purpose scripting language that is especially suited to web development
141.8K
79.2K
+ 1
4.6K
PROS OF PHP
  • 950
    Large community
  • 817
    Open source
  • 765
    Easy deployment
  • 487
    Great frameworks
  • 387
    The best glue on the web
  • 235
    Continual improvements
  • 185
    Good old web
  • 145
    Web foundation
  • 135
    Community packages
  • 125
    Tool support
  • 35
    Used by wordpress
  • 34
    Excellent documentation
  • 29
    Used by Facebook
  • 23
    Because of Symfony
  • 21
    Dynamic Language
  • 17
    Cheap hosting
  • 16
    Easy to learn
  • 14
    Awesome Language and easy to implement
  • 14
    Very powerful web language
  • 14
    Fast development
  • 13
    Composer
  • 12
    Because of Laravel
  • 12
    Flexibility, syntax, extensibility
  • 9
    Easiest deployment
  • 8
    Readable Code
  • 8
    Fast
  • 7
    Most of the web uses it
  • 7
    Fastestest Time to Version 1.0 Deployments
  • 7
    Worst popularity quality ratio
  • 7
    Short development lead times
  • 6
    Faster then ever
  • 5
    Open source and large community
  • 5
    Simple, flexible yet Scalable
  • 4
    Open source and great framework
  • 4
    Large community, easy setup, easy deployment, framework
  • 4
    I have no choice :(
  • 4
    Has the best ecommerce(Magento,Prestashop,Opencart,etc)
  • 4
    Is like one zip of air
  • 4
    Easy to use and learn
  • 4
    Cheap to own
  • 4
    Easy to learn, a big community, lot of frameworks
  • 4
    Great developer experience
  • 2
    Used by STOMT
  • 2
    Hard not to use
  • 2
    Safe the planet
  • 2
    Fault tolerance
  • 2
    Walk away
  • 2
    Great flexibility. From fast prototyping to large apps
  • 2
    Interpreted at the run time
  • 2
    FFI
  • 1
    Secure
  • 1
    Bando
  • 1
    It can get you a lamborghini
  • 1
    Simplesaml
  • 0
    Secure
CONS OF PHP
  • 22
    So easy to learn, good practices are hard to find
  • 16
    Inconsistent API
  • 8
    Fragmented community
  • 6
    Not secure
  • 3
    No routing system
  • 3
    Hard to debug
  • 2
    Old

related PHP posts

Nick Rockwell
SVP, Engineering at Fastly · | 46 upvotes · 3.2M views

When I joined NYT there was already broad dissatisfaction with the LAMP (Linux Apache HTTP Server MySQL PHP) Stack and the front end framework, in particular. So, I wasn't passing judgment on it. I mean, LAMP's fine, you can do good work in LAMP. It's a little dated at this point, but it's not ... I didn't want to rip it out for its own sake, but everyone else was like, "We don't like this, it's really inflexible." And I remember from being outside the company when that was called MIT FIVE when it had launched. And been observing it from the outside, and I was like, you guys took so long to do that and you did it so carefully, and yet you're not happy with your decisions. Why is that? That was more the impetus. If we're going to do this again, how are we going to do it in a way that we're gonna get a better result?

So we're moving quickly away from LAMP, I would say. So, right now, the new front end is React based and using Apollo. And we've been in a long, protracted, gradual rollout of the core experiences.

React is now talking to GraphQL as a primary API. There's a Node.js back end, to the front end, which is mainly for server-side rendering, as well.

Behind there, the main repository for the GraphQL server is a big table repository, that we call Bodega because it's a convenience store. And that reads off of a Kafka pipeline.

See more
Simon Reymann
Senior Fullstack Developer at QUANTUSflow Software GmbH · | 27 upvotes · 4.6M views

Our whole Node.js backend stack consists of the following tools:

  • Lerna as a tool for multi package and multi repository management
  • npm as package manager
  • NestJS as Node.js framework
  • TypeScript as programming language
  • ExpressJS as web server
  • Swagger UI for visualizing and interacting with the API’s resources
  • Postman as a tool for API development
  • TypeORM as object relational mapping layer
  • JSON Web Token for access token management

The main reason we have chosen Node.js over PHP is related to the following artifacts:

  • Made for the web and widely in use: Node.js is a software platform for developing server-side network services. Well-known projects that rely on Node.js include the blogging software Ghost, the project management tool Trello and the operating system WebOS. Node.js requires the JavaScript runtime environment V8, which was specially developed by Google for the popular Chrome browser. This guarantees a very resource-saving architecture, which qualifies Node.js especially for the operation of a web server. Ryan Dahl, the developer of Node.js, released the first stable version on May 27, 2009. He developed Node.js out of dissatisfaction with the possibilities that JavaScript offered at the time. The basic functionality of Node.js has been mapped with JavaScript since the first version, which can be expanded with a large number of different modules. The current package managers (npm or Yarn) for Node.js know more than 1,000,000 of these modules.
  • Fast server-side solutions: Node.js adopts the JavaScript "event-loop" to create non-blocking I/O applications that conveniently serve simultaneous events. With the standard available asynchronous processing within JavaScript/TypeScript, highly scalable, server-side solutions can be realized. The efficient use of the CPU and the RAM is maximized and more simultaneous requests can be processed than with conventional multi-thread servers.
  • A language along the entire stack: Widely used frameworks such as React or AngularJS or Vue.js, which we prefer, are written in JavaScript/TypeScript. If Node.js is now used on the server side, you can use all the advantages of a uniform script language throughout the entire application development. The same language in the back- and frontend simplifies the maintenance of the application and also the coordination within the development team.
  • Flexibility: Node.js sets very few strict dependencies, rules and guidelines and thus grants a high degree of flexibility in application development. There are no strict conventions so that the appropriate architecture, design structures, modules and features can be freely selected for the development.
See more
Ruby logo

Ruby

40.9K
21.1K
4K
A dynamic, interpreted, open source programming language with a focus on simplicity and productivity
40.9K
21.1K
+ 1
4K
PROS OF RUBY
  • 605
    Programme friendly
  • 537
    Quick to develop
  • 490
    Great community
  • 468
    Productivity
  • 432
    Simplicity
  • 273
    Open source
  • 234
    Meta-programming
  • 207
    Powerful
  • 156
    Blocks
  • 139
    Powerful one-liners
  • 69
    Flexible
  • 58
    Easy to learn
  • 51
    Easy to start
  • 42
    Maintainability
  • 37
    Lambdas
  • 30
    Procs
  • 21
    Fun to write
  • 19
    Diverse web frameworks
  • 13
    Reads like English
  • 10
    Makes me smarter and happier
  • 9
    Rails
  • 8
    Very Dynamic
  • 8
    Elegant syntax
  • 6
    Matz
  • 5
    Object Oriented
  • 5
    Programmer happiness
  • 4
    Elegant code
  • 4
    Generally fun but makes you wanna cry sometimes
  • 4
    Friendly
  • 4
    Fun and useful
  • 3
    Easy packaging and modules
  • 3
    There are so many ways to make it do what you want
  • 2
    Primitive types can be tampered with
CONS OF RUBY
  • 7
    Memory hog
  • 7
    Really slow if you're not really careful
  • 3
    Nested Blocks can make code unreadable
  • 2
    Encouraging imperative programming
  • 1
    Ambiguous Syntax, such as function parentheses

related Ruby posts

Kamil Kowalski
Lead Architect at Fresha · | 28 upvotes · 3.8M views

When you think about test automation, it’s crucial to make it everyone’s responsibility (not just QA Engineers'). We started with Selenium and Java, but with our platform revolving around Ruby, Elixir and JavaScript, QA Engineers were left alone to automate tests. Cypress was the answer, as we could switch to JS and simply involve more people from day one. There's a downside too, as it meant testing on Chrome only, but that was "good enough" for us + if really needed we can always cover some specific cases in a different way.

See more
Jonathan Pugh
Software Engineer / Project Manager / Technical Architect · | 25 upvotes · 2.9M views

I needed to choose a full stack of tools for cross platform mobile application design & development. After much research and trying different tools, these are what I came up with that work for me today:

For the client coding I chose Framework7 because of its performance, easy learning curve, and very well designed, beautiful UI widgets. I think it's perfect for solo development or small teams. I didn't like React Native. It felt heavy to me and rigid. Framework7 allows the use of #CSS3, which I think is the best technology to come out of the #WWW movement. No other tech has been able to allow designers and developers to develop such flexible, high performance, customisable user interface elements that are highly responsive and hardware accelerated before. Now #CSS3 includes variables and flexboxes it is truly a powerful language and there is no longer a need for preprocessors such as #SCSS / #Sass / #less. React Native contains a very limited interpretation of #CSS3 which I found very frustrating after using #CSS3 for some years already and knowing its powerful features. The other very nice feature of Framework7 is that you can even build for the browser if you want your app to be available for desktop web browsers. The latest release also includes the ability to build for #Electron so you can have MacOS, Windows and Linux desktop apps. This is not possible with React Native yet.

Framework7 runs on top of Apache Cordova. Cordova and webviews have been slated as being slow in the past. Having a game developer background I found the tweeks to make it run as smooth as silk. One of those tweeks is to use WKWebView. Another important one was using srcset on images.

I use #Template7 for the for the templating system which is a no-nonsense mobile-centric #HandleBars style extensible templating system. It's easy to write custom helpers for, is fast and has a small footprint. I'm not forced into a new paradigm or learning some new syntax. It operates with standard JavaScript, HTML5 and CSS 3. It's written by the developer of Framework7 and so dovetails with it as expected.

I configured TypeScript to work with the latest version of Framework7. I consider TypeScript to be one of the best creations to come out of Microsoft in some time. They must have an amazing team working on it. It's very powerful and flexible. It helps you catch a lot of bugs and also provides code completion in supporting IDEs. So for my IDE I use Visual Studio Code which is a blazingly fast and silky smooth editor that integrates seamlessly with TypeScript for the ultimate type checking setup (both products are produced by Microsoft).

I use Webpack and Babel to compile the JavaScript. TypeScript can compile to JavaScript directly but Babel offers a few more options and polyfills so you can use the latest (and even prerelease) JavaScript features today and compile to be backwards compatible with virtually any browser. My favorite recent addition is "optional chaining" which greatly simplifies and increases readability of a number of sections of my code dealing with getting and setting data in nested objects.

I use some Ruby scripts to process images with ImageMagick and pngquant to optimise for size and even auto insert responsive image code into the HTML5. Ruby is the ultimate cross platform scripting language. Even as your scripts become large, Ruby allows you to refactor your code easily and make it Object Oriented if necessary. I find it the quickest and easiest way to maintain certain aspects of my build process.

For the user interface design and prototyping I use Figma. Figma has an almost identical user interface to #Sketch but has the added advantage of being cross platform (MacOS and Windows). Its real-time collaboration features are outstanding and I use them a often as I work mostly on remote projects. Clients can collaborate in real-time and see changes I make as I make them. The clickable prototyping features in Figma are also very well designed and mean I can send clickable prototypes to clients to try user interface updates as they are made and get immediate feedback. I'm currently also evaluating the latest version of #AdobeXD as an alternative to Figma as it has the very cool auto-animate feature. It doesn't have real-time collaboration yet, but I heard it is proposed for 2019.

For the UI icons I use Font Awesome Pro. They have the largest selection and best looking icons you can find on the internet with several variations in styles so you can find most of the icons you want for standard projects.

For the backend I was using the #GraphCool Framework. As I later found out, #GraphQL still has some way to go in order to provide the full power of a mature graph query language so later in my project I ripped out #GraphCool and replaced it with CouchDB and Pouchdb. Primarily so I could provide good offline app support. CouchDB with Pouchdb is very flexible and efficient combination and overcomes some of the restrictions I found in #GraphQL and hence #GraphCool also. The most impressive and important feature of CouchDB is its replication. You can configure it in various ways for backups, fault tolerance, caching or conditional merging of databases. CouchDB and Pouchdb even supports storing, retrieving and serving binary or image data or other mime types. This removes a level of complexity usually present in database implementations where binary or image data is usually referenced through an #HTML5 link. With CouchDB and Pouchdb apps can operate offline and sync later, very efficiently, when the network connection is good.

I use PhoneGap when testing the app. It auto-reloads your app when its code is changed and you can also install it on Android phones to preview your app instantly. iOS is a bit more tricky cause of Apple's policies so it's not available on the App Store, but you can build it and install it yourself to your device.

So that's my latest mobile stack. What tools do you use? Have you tried these ones?

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C lang logo

C lang

13.3K
4.2K
247
One of the most widely used programming languages of all time
13.3K
4.2K
+ 1
247
PROS OF C LANG
  • 68
    Performance
  • 49
    Low-level
  • 35
    Portability
  • 28
    Hardware level
  • 19
    Embedded apps
  • 13
    Pure
  • 9
    Performance of assembler
  • 8
    Ubiquity
  • 6
    Great for embedded
  • 4
    Old
  • 3
    Compiles quickly
  • 2
    OpenMP
  • 2
    No garbage collection to slow it down
  • 1
    Gnu/linux interoperable
CONS OF C LANG
  • 5
    Low-level
  • 3
    No built in support for concurrency
  • 2
    Lack of type safety
  • 2
    No built in support for parallelism (e.g. map-reduce)

related C lang posts

Conor Myhrvold
Tech Brand Mgr, Office of CTO at Uber · | 17 upvotes · 1.6M views

Why Uber developed H3, our open source grid system to make geospatial data visualization and exploration easier and more efficient:

We decided to create H3 to combine the benefits of a hexagonal global grid system with a hierarchical indexing system. A global grid system usually requires at least two things: a map projection and a grid laid on top of the map. For map projection, we chose to use gnomonic projections centered on icosahedron faces. This projects from Earth as a sphere to an icosahedron, a twenty-sided platonic solid. The H3 grid is constructed by laying out 122 base cells over the Earth, with ten cells per face. H3 supports sixteen resolutions: https://eng.uber.com/h3/

(GitHub Pages : https://uber.github.io/h3/#/ Written in C w/ bindings in Java & JavaScript )

See more

One important decision for delivering a platform independent solution with low memory footprint and minimal dependencies was the choice of the programming language. We considered a few from Python (there was already a reasonably large Python code base at Thumbtack), to Go (we were taking our first steps with it), and even Rust (too immature at the time).

We ended up writing it in C. It was easy to meet all requirements with only one external dependency for implementing the web server, clearly no challenges running it on any of the Linux distributions we were maintaining, and arguably the implementation with the smallest memory footprint given the choices above.

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Java logo

Java

131.3K
99.3K
3.7K
A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible
131.3K
99.3K
+ 1
3.7K
PROS OF JAVA
  • 599
    Great libraries
  • 445
    Widely used
  • 400
    Excellent tooling
  • 395
    Huge amount of documentation available
  • 334
    Large pool of developers available
  • 208
    Open source
  • 202
    Excellent performance
  • 157
    Great development
  • 150
    Used for android
  • 148
    Vast array of 3rd party libraries
  • 60
    Compiled Language
  • 52
    Used for Web
  • 46
    High Performance
  • 46
    Managed memory
  • 44
    Native threads
  • 43
    Statically typed
  • 35
    Easy to read
  • 33
    Great Community
  • 29
    Reliable platform
  • 24
    Sturdy garbage collection
  • 24
    JVM compatibility
  • 22
    Cross Platform Enterprise Integration
  • 20
    Universal platform
  • 20
    Good amount of APIs
  • 18
    Great Support
  • 14
    Great ecosystem
  • 11
    Backward compatible
  • 11
    Lots of boilerplate
  • 10
    Everywhere
  • 9
    Excellent SDK - JDK
  • 7
    It's Java
  • 7
    Cross-platform
  • 7
    Static typing
  • 6
    Mature language thus stable systems
  • 6
    Better than Ruby
  • 6
    Long term language
  • 6
    Portability
  • 5
    Clojure
  • 5
    Vast Collections Library
  • 5
    Used for Android development
  • 4
    Most developers favorite
  • 4
    Old tech
  • 3
    History
  • 3
    Great Structure
  • 3
    Stable platform, which many new languages depend on
  • 3
    Javadoc
  • 3
    Testable
  • 3
    Best martial for design
  • 2
    Type Safe
  • 2
    Faster than python
  • 0
    Job
CONS OF JAVA
  • 33
    Verbosity
  • 27
    NullpointerException
  • 17
    Nightmare to Write
  • 16
    Overcomplexity is praised in community culture
  • 12
    Boiler plate code
  • 8
    Classpath hell prior to Java 9
  • 6
    No REPL
  • 4
    No property
  • 3
    Code are too long
  • 2
    Non-intuitive generic implementation
  • 2
    There is not optional parameter
  • 2
    Floating-point errors
  • 1
    Java's too statically, stronglly, and strictly typed
  • 1
    Returning Wildcard Types
  • 1
    Terrbible compared to Python/Batch Perormence

related Java posts

Conor Myhrvold
Tech Brand Mgr, Office of CTO at Uber · | 44 upvotes · 9.5M 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

See more
Kamil Kowalski
Lead Architect at Fresha · | 28 upvotes · 3.8M views

When you think about test automation, it’s crucial to make it everyone’s responsibility (not just QA Engineers'). We started with Selenium and Java, but with our platform revolving around Ruby, Elixir and JavaScript, QA Engineers were left alone to automate tests. Cypress was the answer, as we could switch to JS and simply involve more people from day one. There's a downside too, as it meant testing on Chrome only, but that was "good enough" for us + if really needed we can always cover some specific cases in a different way.

See more
Python logo

Python

236.7K
193.4K
6.8K
A clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.
236.7K
193.4K
+ 1
6.8K
PROS OF PYTHON
  • 1.2K
    Great libraries
  • 958
    Readable code
  • 844
    Beautiful code
  • 784
    Rapid development
  • 688
    Large community
  • 433
    Open source
  • 391
    Elegant
  • 280
    Great community
  • 272
    Object oriented
  • 217
    Dynamic typing
  • 77
    Great standard library
  • 58
    Very fast
  • 54
    Functional programming
  • 47
    Easy to learn
  • 45
    Scientific computing
  • 35
    Great documentation
  • 28
    Matlab alternative
  • 28
    Productivity
  • 28
    Easy to read
  • 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
    Machine learning support
  • 17
    Powerfull language
  • 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
    Python has great libraries for data processing
  • 7
    Print "life is short, use python"
  • 6
    Flat is better than nested
  • 6
    Readability counts
  • 6
    Rapid Prototyping
  • 6
    Fast coding and good for competitions
  • 6
    Now is better than never
  • 6
    There should be one-- and preferably only one --obvious
  • 6
    High Documented language
  • 6
    I love snakes
  • 6
    Although practicality beats purity
  • 6
    Great for tooling
  • 5
    Great for analytics
  • 5
    Lists, tuples, dictionaries
  • 4
    Multiple Inheritence
  • 4
    Complex is better than complicated
  • 4
    Socially engaged community
  • 4
    Easy to learn and use
  • 4
    Simple and easy to learn
  • 4
    Web scraping
  • 4
    Easy to setup and run smooth
  • 4
    Beautiful is better than ugly
  • 4
    Plotting
  • 4
    CG industry needs
  • 3
    No cruft
  • 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
  • 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
    Generators
  • 3
    Import this
  • 2
    Flexible and easy
  • 2
    Batteries included
  • 2
    Can understand easily who are new to programming
  • 2
    Powerful language for AI
  • 2
    Should START with this but not STICK with This
  • 2
    A-to-Z
  • 2
    Because of Netflix
  • 2
    Only one way to do it
  • 2
    Better outcome
  • 2
    Good for hacking
  • 1
    Securit
  • 1
    Slow
  • 1
    Sexy af
  • 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 · 9.5M 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

See more
Nick Parsons
Building cool things on the internet 🛠️ at Stream · | 35 upvotes · 3.2M 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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      Is there a better way? I just need help getting the right directions; I will walk the way.

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      JavaScript

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      Lightweight, interpreted, object-oriented language with first-class functions
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      PROS OF JAVASCRIPT
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        Can be used on frontend/backend
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        It's everywhere
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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
      • 30
        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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        Its everywhere
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        Setup is easy
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        JavaScript is the New PHP
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        Because I love functions
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        Like it or not, JS is part of the web standard
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        Easy
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        Future Language of The Web
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        Can be used in backend, frontend and DB
      • 9
        Expansive community
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        Most Popular Language in the World
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        Can be used both as frontend and backend as well
      • 8
        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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        Everyone use it
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        Love-hate relationship
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        Popularized Class-Less Architecture & Lambdas
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        Agile, packages simple to use
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        Supports lambdas and closures
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        Powerful
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        Photoshop has 3 JS runtimes built in
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        Evolution of C
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        1.6K Can be used on frontend/backend
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        Can be used on frontend/backend/Mobile/create PRO Ui
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        Versitile
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        It let's me use Babel & Typescript
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        Easy to make something
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        Its fun and fast
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        Client side JS uses the visitors CPU to save Server Res
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        Hard not to use
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        Nice
      • 6
        It's fun
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        What to add
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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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        Only Programming language on browser
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        Because it is so simple and lightweight
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        Test
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        Not the best
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        Subskill #4
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        Easy to learn
      • 1
        Easy to understand
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        Hard to learn
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        Test2
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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
      • 7
        Thinks strange results are better than errors
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        Can be ugly
      • 3
        No GitHub
      • 2
        Slow

      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 · 9.5M 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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