Alternatives to Java EE logo

Alternatives to Java EE

Java, Spring, Spring Boot, Java 8, and Django are the most popular alternatives and competitors to Java EE.
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What is Java EE and what are its top alternatives?

It is developed using the Java Community Process, with contributions from industry experts, commercial and open source organizations, Java User Groups, and countless individuals. It offers a rich enterprise software platform and with over 20 compliant implementations to choose from.
Java EE is a tool in the Languages category of a tech stack.

Top Alternatives to Java EE

  • 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! ...

  • Spring
    Spring

    A key element of Spring is infrastructural support at the application level: Spring focuses on the "plumbing" of enterprise applications so that teams can focus on application-level business logic, without unnecessary ties to specific deployment environments. ...

  • Spring Boot
    Spring Boot

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

  • Java 8
    Java 8

    It is a revolutionary release of the world’s no 1 development platform. It includes a huge upgrade to the Java programming model and a coordinated evolution of the JVM, Java language, and libraries. Java 8 includes features for productivity, ease of use, improved polyglot programming, security and improved performance. ...

  • Django
    Django

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

  • PHP
    PHP

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

  • 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. ...

Java EE alternatives & related posts

Java logo

Java

132.5K
100.3K
3.7K
A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible
132.5K
100.3K
+ 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 · 10.1M 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 · 3.9M 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
Spring logo

Spring

3.9K
4.7K
1.1K
Provides a comprehensive programming and configuration model for modern Java-based enterprise applications
3.9K
4.7K
+ 1
1.1K
PROS OF SPRING
  • 230
    Java
  • 157
    Open source
  • 136
    Great community
  • 123
    Very powerful
  • 114
    Enterprise
  • 64
    Lot of great subprojects
  • 60
    Easy setup
  • 44
    Convention , configuration, done
  • 40
    Standard
  • 31
    Love the logic
  • 13
    Good documentation
  • 11
    Dependency injection
  • 11
    Stability
  • 9
    MVC
  • 6
    Easy
  • 3
    Makes the hard stuff fun & the easy stuff automatic
  • 3
    Strong typing
  • 2
    Code maintenance
  • 2
    Best practices
  • 2
    Maven
  • 2
    Great Desgin
  • 2
    Easy Integration with Spring Security
  • 2
    Integrations with most other Java frameworks
  • 1
    Java has more support and more libraries
  • 1
    Supports vast databases
  • 1
    Large ecosystem with seamless integration
  • 1
    OracleDb integration
  • 1
    Live project
CONS OF SPRING
  • 15
    Draws you into its own ecosystem and bloat
  • 3
    Verbose configuration
  • 3
    Poor documentation
  • 3
    Java
  • 2
    Java is more verbose language in compare to python

related Spring posts

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

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

See more

I am consulting for a company that wants to move its current CubeCart e-commerce site to another PHP based platform like PrestaShop or Magento. I was interested in alternatives that utilize Node.js as the primary platform. I currently don't know PHP, but I have done full stack dev with Java, Spring, Thymeleaf, etc.. I am just unsure that learning a set of technologies not commonly used makes sense. For example, in PrestaShop, I would need to work with JavaScript better and learn PHP, Twig, and Bootstrap. It seems more cumbersome than a Node JS system, where the language syntax stays the same for the full stack. I am looking for thoughts and advice on the relevance of PHP skillset into the future AND whether the Node based e-commerce open source options can compete with Magento or Prestashop.

See more
Spring Boot logo

Spring Boot

25.4K
23.1K
1K
Create Spring-powered, production-grade applications and services with absolute minimum fuss
25.4K
23.1K
+ 1
1K
PROS OF SPRING BOOT
  • 149
    Powerful and handy
  • 134
    Easy setup
  • 128
    Java
  • 90
    Spring
  • 85
    Fast
  • 46
    Extensible
  • 37
    Lots of "off the shelf" functionalities
  • 32
    Cloud Solid
  • 26
    Caches well
  • 24
    Productive
  • 24
    Many receipes around for obscure features
  • 23
    Modular
  • 23
    Integrations with most other Java frameworks
  • 22
    Spring ecosystem is great
  • 21
    Auto-configuration
  • 21
    Fast Performance With Microservices
  • 18
    Community
  • 17
    Easy setup, Community Support, Solid for ERP apps
  • 15
    One-stop shop
  • 14
    Easy to parallelize
  • 14
    Cross-platform
  • 13
    Easy setup, good for build erp systems, well documented
  • 13
    Powerful 3rd party libraries and frameworks
  • 12
    Easy setup, Git Integration
  • 5
    It's so easier to start a project on spring
  • 4
    Kotlin
  • 1
    Microservice and Reactive Programming
  • 1
    The ability to integrate with the open source ecosystem
CONS OF SPRING BOOT
  • 23
    Heavy weight
  • 18
    Annotation ceremony
  • 13
    Java
  • 11
    Many config files needed
  • 5
    Reactive
  • 4
    Excellent tools for cloud hosting, since 5.x
  • 1
    Java 😒😒

related Spring Boot posts

Praveen Mooli
Engineering Manager at Taylor and Francis · | 18 upvotes · 3.8M views

We are in the process of building a modern content platform to deliver our content through various channels. We decided to go with Microservices architecture as we wanted scale. Microservice architecture style is an approach to developing an application as a suite of small independently deployable services built around specific business capabilities. You can gain modularity, extensive parallelism and cost-effective scaling by deploying services across many distributed servers. Microservices modularity facilitates independent updates/deployments, and helps to avoid single point of failure, which can help prevent large-scale outages. We also decided to use Event Driven Architecture pattern which is a popular distributed asynchronous architecture pattern used to produce highly scalable applications. The event-driven architecture is made up of highly decoupled, single-purpose event processing components that asynchronously receive and process events.

To build our #Backend capabilities we decided to use the following: 1. #Microservices - Java with Spring Boot , Node.js with ExpressJS and Python with Flask 2. #Eventsourcingframework - Amazon Kinesis , Amazon Kinesis Firehose , Amazon SNS , Amazon SQS, AWS Lambda 3. #Data - Amazon RDS , Amazon DynamoDB , Amazon S3 , MongoDB Atlas

To build #Webapps we decided to use Angular 2 with RxJS

#Devops - GitHub , Travis CI , Terraform , Docker , Serverless

See more

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

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

See more
Java 8 logo

Java 8

690
627
0
A development environment for building applications
690
627
+ 1
0
PROS OF JAVA 8
    Be the first to leave a pro
    CONS OF JAVA 8
      Be the first to leave a con

      related Java 8 posts

      Django logo

      Django

      37K
      33.5K
      4.2K
      The Web framework for perfectionists with deadlines
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      33.5K
      + 1
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      PROS OF DJANGO
      • 670
        Rapid development
      • 487
        Open source
      • 424
        Great community
      • 379
        Easy to learn
      • 276
        Mvc
      • 232
        Beautiful code
      • 223
        Elegant
      • 206
        Free
      • 203
        Great packages
      • 194
        Great libraries
      • 79
        Comes with auth and crud admin panel
      • 79
        Restful
      • 78
        Powerful
      • 75
        Great documentation
      • 71
        Great for web
      • 57
        Python
      • 43
        Great orm
      • 41
        Great for api
      • 32
        All included
      • 29
        Fast
      • 25
        Web Apps
      • 23
        Easy setup
      • 23
        Clean
      • 21
        Used by top startups
      • 19
        Sexy
      • 19
        ORM
      • 15
        The Django community
      • 14
        Allows for very rapid development with great libraries
      • 14
        Convention over configuration
      • 11
        King of backend world
      • 10
        Full stack
      • 10
        Great MVC and templating engine
      • 8
        Fast prototyping
      • 8
        Mvt
      • 7
        Easy to develop end to end AI Models
      • 7
        Batteries included
      • 7
        Its elegant and practical
      • 6
        Have not found anything that it can't do
      • 6
        Very quick to get something up and running
      • 6
        Cross-Platform
      • 5
        Easy Structure , useful inbuilt library
      • 5
        Great peformance
      • 5
        Zero code burden to change databases
      • 5
        Python community
      • 4
        Map
      • 4
        Just the right level of abstraction
      • 4
        Easy to change database manager
      • 4
        Modular
      • 4
        Many libraries
      • 4
        Easy to use
      • 4
        Easy
      • 4
        Full-Text Search
      • 3
        Scaffold
      • 1
        Fastapi
      • 1
        Built in common security
      • 1
        Scalable
      • 1
        Great default admin panel
      • 1
        Node js
      • 1
        Gigante ta
      • 0
        Rails
      CONS OF DJANGO
      • 26
        Underpowered templating
      • 22
        Autoreload restarts whole server
      • 22
        Underpowered ORM
      • 15
        URL dispatcher ignores HTTP method
      • 10
        Internal subcomponents coupling
      • 8
        Not nodejs
      • 8
        Configuration hell
      • 7
        Admin
      • 5
        Not as clean and nice documentation like Laravel
      • 4
        Python
      • 3
        Not typed
      • 3
        Bloated admin panel included
      • 2
        Overwhelming folder structure
      • 2
        InEffective Multithreading
      • 1
        Not type safe

      related Django posts

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

      Simple controls over complex technologies, as we put it, wouldn't be possible without neat UIs for our user areas including start page, dashboard, settings, and docs.

      Initially, there was Django. Back in 2011, considering our Python-centric approach, that was the best choice. Later, we realized we needed to iterate on our website more quickly. And this led us to detaching Django from our front end. That was when we decided to build an SPA.

      For building user interfaces, we're currently using React as it provided the fastest rendering back when we were building our toolkit. It’s worth mentioning Uploadcare is not a front-end-focused SPA: we aren’t running at high levels of complexity. If it were, we’d go with Ember.js.

      However, there's a chance we will shift to the faster Preact, with its motto of using as little code as possible, and because it makes more use of browser APIs. One of our future tasks for our front end is to configure our Webpack bundler to split up the code for different site sections. For styles, we use PostCSS along with its plugins such as cssnano which minifies all the code.

      All that allows us to provide a great user experience and quickly implement changes where they are needed with as little code as possible.

      See more

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

      See more
      PHP logo

      PHP

      142.6K
      79.7K
      4.6K
      A popular general-purpose scripting language that is especially suited to web development
      142.6K
      79.7K
      + 1
      4.6K
      PROS OF PHP
      • 951
        Large community
      • 817
        Open source
      • 766
        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
        Flexibility, syntax, extensibility
      • 12
        Because of Laravel
      • 9
        Easiest deployment
      • 8
        Readable Code
      • 8
        Fast
      • 7
        Most of the web uses it
      • 7
        Worst popularity quality ratio
      • 7
        Short development lead times
      • 7
        Fastestest Time to Version 1.0 Deployments
      • 6
        Faster then ever
      • 5
        Open source and large community
      • 5
        Simple, flexible yet Scalable
      • 4
        I have no choice :(
      • 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
        Great developer experience
      • 4
        Easy to use and learn
      • 4
        Cheap to own
      • 4
        Easy to learn, a big community, lot of frameworks
      • 2
        Walk away
      • 2
        Used by STOMT
      • 2
        Hard not to use
      • 2
        Fault tolerance
      • 2
        Great flexibility. From fast prototyping to large apps
      • 2
        Interpreted at the run time
      • 2
        FFI
      • 2
        Safe the planet
      • 1
        It can get you a lamborghini
      • 1
        Secure
      • 1
        Simplesaml
      • 1
        Bando
      • 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 · 3.4M 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 · 4.8M 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
      JavaScript logo

      JavaScript

      350.8K
      267.1K
      8.1K
      Lightweight, interpreted, object-oriented language with first-class functions
      350.8K
      267.1K
      + 1
      8.1K
      PROS OF JAVASCRIPT
      • 1.7K
        Can be used on frontend/backend
      • 1.5K
        It's everywhere
      • 1.2K
        Lots of great frameworks
      • 896
        Fast
      • 745
        Light weight
      • 425
        Flexible
      • 392
        You can't get a device today that doesn't run js
      • 286
        Non-blocking i/o
      • 236
        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
        Its everywhere
      • 12
        Future Language of The Web
      • 11
        JavaScript is the New PHP
      • 11
        Because I love functions
      • 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
        Easy to hire developers
      • 8
        No need to use PHP
      • 8
        For the good parts
      • 8
        Can be used both as frontend and backend as well
      • 8
        Powerful
      • 8
        Most Popular Language in the World
      • 7
        Popularized Class-Less Architecture & Lambdas
      • 7
        It's fun
      • 7
        Nice
      • 7
        Versitile
      • 7
        Hard not to use
      • 7
        Its fun and fast
      • 7
        Agile, packages simple to use
      • 7
        Supports lambdas and closures
      • 7
        Love-hate relationship
      • 7
        Photoshop has 3 JS runtimes built in
      • 7
        Evolution of C
      • 6
        1.6K Can be used on frontend/backend
      • 6
        Client side JS uses the visitors CPU to save Server Res
      • 6
        It let's me use Babel & Typescript
      • 6
        Easy to make something
      • 6
        Can be used on frontend/backend/Mobile/create PRO Ui
      • 5
        Promise relationship
      • 5
        Stockholm Syndrome
      • 5
        Function expressions are useful for callbacks
      • 5
        Scope manipulation
      • 5
        Everywhere
      • 5
        Client processing
      • 5
        Clojurescript
      • 5
        What to add
      • 4
        Because it is so simple and lightweight
      • 4
        Only Programming language on browser
      • 1
        Test2
      • 1
        Easy to learn
      • 1
        Easy to understand
      • 1
        Not the best
      • 1
        Hard to learn
      • 1
        Subskill #4
      • 1
        Test
      • 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

      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 · 10.1M 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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      Simon Reymann
      Senior Fullstack Developer at QUANTUSflow Software GmbH · | 30 upvotes · 9.2M views

      Our whole DevOps stack consists of the following tools:

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

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

      • Key features: Easy and flexible installation, Clear dashboard, Great scaling operations, Monitoring is an integral part, Great load balancing concepts, Monitors the condition and ensures compensation in the event of failure.
      • Applications: An application can be deployed using a combination of pods, deployments, and services (or micro-services).
      • Functionality: Kubernetes as a complex installation and setup process, but it not as limited as Docker Swarm.
      • Monitoring: It supports multiple versions of logging and monitoring when the services are deployed within the cluster (Elasticsearch/Kibana (ELK), Heapster/Grafana, Sysdig cloud integration).
      • Scalability: All-in-one framework for distributed systems.
      • Other Benefits: Kubernetes is backed by the Cloud Native Computing Foundation (CNCF), huge community among container orchestration tools, it is an open source and modular tool that works with any OS.
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      Tymoteusz Paul
      Devops guy at X20X Development LTD · | 23 upvotes · 8.3M 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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