Alternatives to JSON-RPC logo

Alternatives to JSON-RPC

gRPC, GraphQL, REST, JavaScript, and Python are the most popular alternatives and competitors to JSON-RPC.
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What is JSON-RPC and what are its top alternatives?

JSON-RPC is a remote procedure call protocol encoded in JSON. It allows for the communication between a client and a server over a network. Key features include a simple and lightweight format, support for multiple transport protocols, and compatibility with various programming languages. However, JSON-RPC has limitations such as lack of standard error handling and security vulnerabilities.

  1. gRPC: gRPC is a high-performance, open-source RPC framework developed by Google. It uses Protocol Buffers for serialization and supports features like bi-directional streaming and authentication. Pros include efficient network communication and built-in support for load balancing, while cons include a steeper learning curve compared to JSON-RPC.
  2. REST: Representational State Transfer (REST) is an architectural style for building APIs. It uses standard HTTP methods like GET, POST, PUT, and DELETE for communication. Key features include statelessness and widely adopted standards, but drawbacks include over-fetching and under-fetching of data.
  3. GraphQL: GraphQL is a query language for APIs developed by Facebook. It allows clients to request only the data they need, reducing over-fetching. Pros include flexibility and efficiency in data fetching, but cons include a more complex setup compared to JSON-RPC.
  4. Thrift: Apache Thrift is a scalable, efficient RPC framework that supports multiple programming languages and transport protocols. It offers built-in support for service definitions and serialization. Pros include high performance and language interoperability, but cons include a more complex setup compared to JSON-RPC.
  5. MessagePack-RPC: MessagePack is a binary serialization format that is more compact and faster than JSON. MessagePack-RPC uses MessagePack for encoding RPC messages, providing a lightweight alternative to JSON-RPC. Pros include efficiency and performance gains, but cons include lack of widespread adoption compared to JSON-RPC.
  6. RSocket: RSocket is a binary protocol for use on byte stream transports like TCP, WebSockets, and Aeron. It offers features like bi-directional communication, multiplexed streams, and backpressure. Pros include high performance and flexibility in communication patterns, but cons include a more specialized use case compared to JSON-RPC.
  7. Socket.IO: Socket.IO is a JavaScript library for real-time web applications. It enables real-time, bidirectional communication between clients and servers. Key features include support for WebSockets and fallback transports, but cons include a more specialized use case compared to JSON-RPC.
  8. XML-RPC: XML-RPC is a remote procedure call protocol that uses XML for encoding messages. It is platform-independent and supports various programming languages. Pros include interoperability and simplicity, but cons include verbosity and complexity compared to JSON-RPC.
  9. Apache Avro: Apache Avro is a data serialization system that provides rich data structures. It supports remote procedure calls and data serialization. Key features include schema evolution and compact binary format, but cons include a more specific use case compared to JSON-RPC.
  10. Apache Thrift: Apache Thrift is a scalable, efficient RPC framework that supports multiple programming languages and transport protocols. It offers built-in support for service definitions and serialization. Pros include high performance and language interoperability, but cons include a more complex setup compared to JSON-RPC.

Top Alternatives to JSON-RPC

  • gRPC
    gRPC

    gRPC is a modern open source high performance RPC framework that can run in any environment. It can efficiently connect services in and across data centers with pluggable support for load balancing, tracing, health checking... ...

  • GraphQL
    GraphQL

    GraphQL is a data query language and runtime designed and used at Facebook to request and deliver data to mobile and web apps since 2012. ...

  • REST
    REST

    An architectural style for developing web services. A distributed system framework that uses Web protocols and technologies. ...

  • 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. ...

  • 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. ...

  • Node.js
    Node.js

    Node.js uses an event-driven, non-blocking I/O model that makes it lightweight and efficient, perfect for data-intensive real-time applications that run across distributed devices. ...

  • HTML5
    HTML5

    HTML5 is a core technology markup language of the Internet used for structuring and presenting content for the World Wide Web. As of October 2014 this is the final and complete fifth revision of the HTML standard of the World Wide Web Consortium (W3C). The previous version, HTML 4, was standardised in 1997. ...

  • PHP
    PHP

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

JSON-RPC alternatives & related posts

gRPC logo

gRPC

2.2K
1.4K
63
A high performance, open-source universal RPC framework
2.2K
1.4K
+ 1
63
PROS OF GRPC
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  • 5
    Contract-based
  • 4
    Polyglot
  • 2
    Garbage
CONS OF GRPC
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    Noah Zoschke
    Engineering Manager at Segment · | 30 upvotes · 305.6K views

    We just launched the Segment Config API (try it out for yourself here) — a set of public REST APIs that enable you to manage your Segment configuration. Behind the scenes the Config API is built with Go , GRPC and Envoy.

    At Segment, we build new services in Go by default. The language is simple so new team members quickly ramp up on a codebase. The tool chain is fast so developers get immediate feedback when they break code, tests or integrations with other systems. The runtime is fast so it performs great at scale.

    For the newest round of APIs we adopted the GRPC service #framework.

    The Protocol Buffer service definition language makes it easy to design type-safe and consistent APIs, thanks to ecosystem tools like the Google API Design Guide for API standards, uber/prototool for formatting and linting .protos and lyft/protoc-gen-validate for defining field validations, and grpc-gateway for defining REST mapping.

    With a well designed .proto, its easy to generate a Go server interface and a TypeScript client, providing type-safe RPC between languages.

    For the API gateway and RPC we adopted the Envoy service proxy.

    The internet-facing segmentapis.com endpoint is an Envoy front proxy that rate-limits and authenticates every request. It then transcodes a #REST / #JSON request to an upstream GRPC request. The upstream GRPC servers are running an Envoy sidecar configured for Datadog stats.

    The result is API #security , #reliability and consistent #observability through Envoy configuration, not code.

    We experimented with Swagger service definitions, but the spec is sprawling and the generated clients and server stubs leave a lot to be desired. GRPC and .proto and the Go implementation feels better designed and implemented. Thanks to the GRPC tooling and ecosystem you can generate Swagger from .protos, but it’s effectively impossible to go the other way.

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    Dylan Krupp
    Shared insights
    on
    gRPCgRPCGraphQLGraphQL

    I used GraphQL extensively at a previous employer a few years ago and really appreciated the data-driven schema etc alongside the many other benefits it provided. At that time, it seemed like it was set to replace RESTful APIs and many companies were adopting it.

    However, as of late, it seems like interest has been waning for GraphQL as opposed to increasing as I had assumed it would. Am I missing something here? What is the current perspective regarding this technology?

    Currently, I'm working with gRPC and was curious as to the state of everything now.

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    GraphQL logo

    GraphQL

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    27.7K
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    A data query language and runtime
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    PROS OF GRAPHQL
    • 75
      Schemas defined by the requests made by the user
    • 63
      Will replace RESTful interfaces
    • 62
      The future of API's
    • 49
      The future of databases
    • 13
      Self-documenting
    • 12
      Get many resources in a single request
    • 6
      Query Language
    • 6
      Ask for what you need, get exactly that
    • 3
      Fetch different resources in one request
    • 3
      Type system
    • 3
      Evolve your API without versions
    • 2
      Ease of client creation
    • 2
      GraphiQL
    • 2
      Easy setup
    • 1
      "Open" document
    • 1
      Fast prototyping
    • 1
      Supports subscription
    • 1
      Standard
    • 1
      Good for apps that query at build time. (SSR/Gatsby)
    • 1
      1. Describe your data
    • 1
      Better versioning
    • 1
      Backed by Facebook
    • 1
      Easy to learn
    CONS OF GRAPHQL
    • 4
      Hard to migrate from GraphQL to another technology
    • 4
      More code to type.
    • 2
      Takes longer to build compared to schemaless.
    • 1
      No support for caching
    • 1
      All the pros sound like NFT pitches
    • 1
      No support for streaming
    • 1
      Works just like any other API at runtime
    • 1
      N+1 fetch problem
    • 1
      No built in security

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

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

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

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

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

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    Nick Rockwell
    SVP, Engineering at Fastly · | 46 upvotes · 4.1M 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.

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    REST logo

    REST

    20
    193
    0
    A software architectural style
    20
    193
    + 1
    0
    PROS OF REST
    • 4
      Popularity
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      JavaScript logo

      JavaScript

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      274.2K
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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
      • 1.5K
        It's everywhere
      • 1.2K
        Lots of great frameworks
      • 898
        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
        Expansive community
      • 9
        Everyone use it
      • 9
        Can be used in backend, frontend and DB
      • 9
        Easy
      • 8
        Most Popular Language in the World
      • 8
        Powerful
      • 8
        Can be used both as frontend and backend as well
      • 8
        For the good parts
      • 8
        No need to use PHP
      • 8
        Easy to hire developers
      • 7
        Agile, packages simple to use
      • 7
        Love-hate relationship
      • 7
        Photoshop has 3 JS runtimes built in
      • 7
        Evolution of C
      • 7
        It's fun
      • 7
        Hard not to use
      • 7
        Versitile
      • 7
        Its fun and fast
      • 7
        Nice
      • 7
        Popularized Class-Less Architecture & Lambdas
      • 7
        Supports lambdas and closures
      • 6
        It let's me use Babel & Typescript
      • 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
        Easy to make something
      • 5
        Clojurescript
      • 5
        Promise relationship
      • 5
        Stockholm Syndrome
      • 5
        Function expressions are useful for callbacks
      • 5
        Scope manipulation
      • 5
        Everywhere
      • 5
        Client processing
      • 5
        What to add
      • 4
        Because it is so simple and lightweight
      • 4
        Only Programming language on browser
      • 1
        Test
      • 1
        Hard to learn
      • 1
        Test2
      • 1
        Not the best
      • 1
        Easy to understand
      • 1
        Subskill #4
      • 1
        Easy to learn
      • 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

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      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 · 12.6M 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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      Python logo

      Python

      244.7K
      199.8K
      6.9K
      A clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.
      244.7K
      199.8K
      + 1
      6.9K
      PROS OF PYTHON
      • 1.2K
        Great libraries
      • 962
        Readable code
      • 847
        Beautiful code
      • 788
        Rapid development
      • 690
        Large community
      • 438
        Open source
      • 393
        Elegant
      • 282
        Great community
      • 272
        Object oriented
      • 220
        Dynamic typing
      • 77
        Great standard library
      • 60
        Very fast
      • 55
        Functional programming
      • 49
        Easy to learn
      • 45
        Scientific computing
      • 35
        Great documentation
      • 29
        Productivity
      • 28
        Easy to read
      • 28
        Matlab alternative
      • 24
        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
        Now is better than never
      • 6
        Great for tooling
      • 6
        Readability counts
      • 6
        Rapid Prototyping
      • 6
        I love snakes
      • 6
        Flat is better than nested
      • 6
        Fast coding and good for competitions
      • 6
        There should be one-- and preferably only one --obvious
      • 6
        High Documented language
      • 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
        Many types of collections
      • 3
        Flexible and easy
      • 3
        It is Very easy , simple and will you be love programmi
      • 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
        If the implementation is easy to explain, it may be a g
      • 2
        Can understand easily who are new to programming
      • 2
        Batteries included
      • 2
        Securit
      • 2
        Good for hacking
      • 2
        Better outcome
      • 2
        Only one way to do it
      • 2
        Because of Netflix
      • 2
        A-to-Z
      • 2
        Should START with this but not STICK with This
      • 2
        Powerful language for AI
      • 1
        Automation friendly
      • 1
        Sexy af
      • 1
        Slow
      • 1
        Procedural programming
      • 0
        Ni
      • 0
        Powerful
      • 0
        Keep it simple
      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)

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      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.

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      Nick Parsons
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      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)

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      Node.js logo

      Node.js

      188.5K
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      8.5K
      A platform built on Chrome's JavaScript runtime for easily building fast, scalable network applications
      188.5K
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      PROS OF NODE.JS
      • 1.4K
        Npm
      • 1.3K
        Javascript
      • 1.1K
        Great libraries
      • 1K
        High-performance
      • 805
        Open source
      • 486
        Great for apis
      • 477
        Asynchronous
      • 423
        Great community
      • 390
        Great for realtime apps
      • 296
        Great for command line utilities
      • 84
        Websockets
      • 83
        Node Modules
      • 69
        Uber Simple
      • 59
        Great modularity
      • 58
        Allows us to reuse code in the frontend
      • 42
        Easy to start
      • 35
        Great for Data Streaming
      • 32
        Realtime
      • 28
        Awesome
      • 25
        Non blocking IO
      • 18
        Can be used as a proxy
      • 17
        High performance, open source, scalable
      • 16
        Non-blocking and modular
      • 15
        Easy and Fun
      • 14
        Easy and powerful
      • 13
        Future of BackEnd
      • 13
        Same lang as AngularJS
      • 12
        Fullstack
      • 11
        Fast
      • 10
        Scalability
      • 10
        Cross platform
      • 9
        Simple
      • 8
        Mean Stack
      • 7
        Great for webapps
      • 7
        Easy concurrency
      • 6
        Typescript
      • 6
        Fast, simple code and async
      • 6
        React
      • 6
        Friendly
      • 5
        Control everything
      • 5
        Its amazingly fast and scalable
      • 5
        Easy to use and fast and goes well with JSONdb's
      • 5
        Scalable
      • 5
        Great speed
      • 5
        Fast development
      • 4
        It's fast
      • 4
        Easy to use
      • 4
        Isomorphic coolness
      • 3
        Great community
      • 3
        Not Python
      • 3
        Sooper easy for the Backend connectivity
      • 3
        TypeScript Support
      • 3
        Blazing fast
      • 3
        Performant and fast prototyping
      • 3
        Easy to learn
      • 3
        Easy
      • 3
        Scales, fast, simple, great community, npm, express
      • 3
        One language, end-to-end
      • 3
        Less boilerplate code
      • 2
        Npm i ape-updating
      • 2
        Event Driven
      • 2
        Lovely
      • 1
        Creat for apis
      • 0
        Node
      CONS OF NODE.JS
      • 46
        Bound to a single CPU
      • 45
        New framework every day
      • 40
        Lots of terrible examples on the internet
      • 33
        Asynchronous programming is the worst
      • 24
        Callback
      • 19
        Javascript
      • 11
        Dependency hell
      • 11
        Dependency based on GitHub
      • 10
        Low computational power
      • 7
        Very very Slow
      • 7
        Can block whole server easily
      • 7
        Callback functions may not fire on expected sequence
      • 4
        Breaking updates
      • 4
        Unstable
      • 3
        Unneeded over complication
      • 3
        No standard approach
      • 1
        Bad transitive dependency management
      • 1
        Can't read server session

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      on
      Node.jsNode.jsGraphQLGraphQLMongoDBMongoDB

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

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

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

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

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

      See more
      Nick Rockwell
      SVP, Engineering at Fastly · | 46 upvotes · 4.1M 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
      HTML5 logo

      HTML5

      148.5K
      126.8K
      2.2K
      5th major revision of the core language of the World Wide Web
      148.5K
      126.8K
      + 1
      2.2K
      PROS OF HTML5
      • 447
        New doctype
      • 389
        Local storage
      • 334
        Canvas
      • 285
        Semantic header and footer
      • 240
        Video element
      • 121
        Geolocation
      • 106
        Form autofocus
      • 100
        Email inputs
      • 85
        Editable content
      • 79
        Application caches
      • 10
        Easy to use
      • 9
        Cleaner Code
      • 5
        Easy
      • 4
        Websockets
      • 4
        Semantical
      • 3
        Better
      • 3
        Audio element
      • 3
        Modern
      • 2
        Portability
      • 2
        Semantic Header and Footer, Geolocation, New Doctype
      • 2
        Content focused
      • 2
        Compatible
      • 1
        Very easy to learning to HTML
      CONS OF HTML5
      • 1
        Easy to forget the tags when you're a begginner
      • 1
        Long and winding code

      related HTML5 posts

      Jan Vlnas
      Senior Software Engineer at Mews · | 26 upvotes · 397.3K views
      Shared insights
      on
      HTML5HTML5JavaScriptJavaScriptNext.jsNext.js

      Few years ago we were building a Next.js site with a few simple forms. This required handling forms validation and submission, but instead of picking some forms library, we went with plain JavaScript and constraint validation API in HTML5. This shaved off a few KBs of dependencies and gave us full control over the validation behavior and look. I describe this approach, with its pros and cons, in a blog post.

      See more
      Jonathan Pugh
      Software Engineer / Project Manager / Technical Architect · | 25 upvotes · 3M 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?

      See more
      PHP logo

      PHP

      144.3K
      81.1K
      4.6K
      A popular general-purpose scripting language that is especially suited to web development
      144.3K
      81.1K
      + 1
      4.6K
      PROS OF PHP
      • 953
        Large community
      • 819
        Open source
      • 767
        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
        Easy to learn
      • 17
        Cheap hosting
      • 15
        Very powerful web language
      • 14
        Awesome Language and easy to implement
      • 14
        Fast development
      • 14
        Because of Laravel
      • 13
        Composer
      • 12
        Flexibility, syntax, extensibility
      • 9
        Easiest deployment
      • 8
        Readable Code
      • 8
        Fast
      • 7
        Short development lead times
      • 7
        Most of the web uses it
      • 7
        Worst popularity quality ratio
      • 7
        Fastestest Time to Version 1.0 Deployments
      • 6
        Simple, flexible yet Scalable
      • 6
        Faster then ever
      • 5
        Open source and large community
      • 4
        Cheap to own
      • 4
        Has the best ecommerce(Magento,Prestashop,Opencart,etc)
      • 4
        Is like one zip of air
      • 4
        Open source and great framework
      • 4
        Large community, easy setup, easy deployment, framework
      • 4
        Easy to use and learn
      • 4
        Easy to learn, a big community, lot of frameworks
      • 4
        Great developer experience
      • 4
        I have no choice :(
      • 2
        Hard not to use
      • 2
        Walk away
      • 2
        Interpreted at the run time
      • 2
        FFI
      • 2
        Safe the planet
      • 2
        Used by STOMT
      • 2
        Fault tolerance
      • 2
        Great flexibility. From fast prototyping to large apps
      • 1
        Simplesaml
      • 1
        Bando
      • 1
        Secure
      • 1
        It can get you a lamborghini
      • 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 · 4.1M 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 · 5.1M 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