Alternatives to JSHint logo

Alternatives to JSHint

ESLint, JSLint, Flow, SonarQube, and TypeScript are the most popular alternatives and competitors to JSHint.
921
58
+ 1
0

What is JSHint and what are its top alternatives?

It is a community-driven tool to detect errors and potential problems in JavaScript code. It is open source and can easily adjust in the environment you expect your code to execute.
JSHint is a tool in the Code Review category of a tech stack.

Top Alternatives to JSHint

  • ESLint
    ESLint

    A pluggable and configurable linter tool for identifying and reporting on patterns in JavaScript. Maintain your code quality with ease. ...

  • JSLint
    JSLint

    It is a static code analysis tool used in software development for checking if JavaScript source code complies with coding rules. It is provided primarily as a browser-based web application accessible through their domain, but there are also command-line adaptations. ...

  • Flow
    Flow

    Flow is an online collaboration platform that makes it easy for people to create, organize, discuss, and accomplish tasks with anyone, anytime, anywhere. By merging a sleek, intuitive interface with powerful functionality, we're out to revolutionize the way the world's productive teams get things done. ...

  • SonarQube
    SonarQube

    SonarQube provides an overview of the overall health of your source code and even more importantly, it highlights issues found on new code. With a Quality Gate set on your project, you will simply fix the Leak and start mechanically improving. ...

  • TypeScript
    TypeScript

    TypeScript is a language for application-scale JavaScript development. It's a typed superset of JavaScript that compiles to plain JavaScript. ...

  • Prettier
    Prettier

    Prettier is an opinionated code formatter. It enforces a consistent style by parsing your code and re-printing it with its own rules that take the maximum line length into account, wrapping code when necessary. ...

  • TSLint
    TSLint

    An extensible static analysis tool that checks TypeScript code for readability, maintainability, and functionality errors. It is widely supported across modern editors & build systems and can be customized with your own lint rules, configurations, and formatters. ...

  • 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. ...

JSHint alternatives & related posts

ESLint logo

ESLint

30.2K
28
The fully pluggable JavaScript code quality tool
30.2K
28
PROS OF ESLINT
  • 8
    Consistent javascript - opinions don't matter anymore
  • 6
    Free
  • 6
    IDE Integration
  • 4
    Customizable
  • 2
    Focuses code review on quality not style
  • 2
    Broad ecosystem of support & users
CONS OF ESLINT
    Be the first to leave a con

    related ESLint posts

    Simon Reymann
    Senior Fullstack Developer at QUANTUSflow Software GmbH · | 30 upvotes · 12.1M views

    Our whole DevOps stack consists of the following tools:

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

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

    • Key features: Easy and flexible installation, Clear dashboard, Great scaling operations, Monitoring is an integral part, Great load balancing concepts, Monitors the condition and ensures compensation in the event of failure.
    • Applications: An application can be deployed using a combination of pods, deployments, and services (or micro-services).
    • Functionality: Kubernetes as a complex installation and setup process, but it not as limited as Docker Swarm.
    • Monitoring: It supports multiple versions of logging and monitoring when the services are deployed within the cluster (Elasticsearch/Kibana (ELK), Heapster/Grafana, Sysdig cloud integration).
    • Scalability: All-in-one framework for distributed systems.
    • Other Benefits: Kubernetes is backed by the Cloud Native Computing Foundation (CNCF), huge community among container orchestration tools, it is an open source and modular tool that works with any OS.
    See more
    Simon Reymann
    Senior Fullstack Developer at QUANTUSflow Software GmbH · | 24 upvotes · 5M views

    Our whole Vue.js frontend stack (incl. SSR) consists of the following tools:

    • Nuxt.js consisting of Vue CLI, Vue Router, vuex, Webpack and Sass (Bundler for HTML5, CSS 3), Babel (Transpiler for JavaScript),
    • Vue Styleguidist as our style guide and pool of developed Vue.js components
    • Vuetify as Material Component Framework (for fast app development)
    • TypeScript as programming language
    • Apollo / GraphQL (incl. GraphiQL) for data access layer (https://apollo.vuejs.org/)
    • ESLint, TSLint and Prettier for coding style and code analyzes
    • Jest as testing framework
    • Google Fonts and Font Awesome for typography and icon toolkit
    • NativeScript-Vue for mobile development

    The main reason we have chosen Vue.js over React and AngularJS is related to the following artifacts:

    • Empowered HTML. Vue.js has many similar approaches with Angular. This helps to optimize HTML blocks handling with the use of different components.
    • Detailed documentation. Vue.js has very good documentation which can fasten learning curve for developers.
    • Adaptability. It provides a rapid switching period from other frameworks. It has similarities with Angular and React in terms of design and architecture.
    • Awesome integration. Vue.js can be used for both building single-page applications and more difficult web interfaces of apps. Smaller interactive parts can be easily integrated into the existing infrastructure with no negative effect on the entire system.
    • Large scaling. Vue.js can help to develop pretty large reusable templates.
    • Tiny size. Vue.js weights around 20KB keeping its speed and flexibility. It allows reaching much better performance in comparison to other frameworks.
    See more
    JSLint logo

    JSLint

    61
    0
    A Code Quality Tool for Javascript
    61
    0
    PROS OF JSLINT
      Be the first to leave a pro
      CONS OF JSLINT
        Be the first to leave a con

        related JSLint posts

        Flow logo

        Flow

        77
        15
        Simple project and task management for busy teams
        77
        15
        PROS OF FLOW
        • 6
          Great for collaboration
        • 6
          Easy to use
        • 3
          Free
        CONS OF FLOW
          Be the first to leave a con

          related Flow posts

          SonarQube logo

          SonarQube

          1.7K
          53
          Continuous Code Quality
          1.7K
          53
          PROS OF SONARQUBE
          • 26
            Tracks code complexity and smell trends
          • 16
            IDE Integration
          • 9
            Complete code Review
          • 2
            Difficult to deploy
          CONS OF SONARQUBE
          • 7
            Sales process is long and unfriendly
          • 7
            Paid support is poor, techs arrogant and unhelpful
          • 1
            Does not integrate with Snyk

          related SonarQube posts

          Simon Reymann
          Senior Fullstack Developer at QUANTUSflow Software GmbH · | 30 upvotes · 12.1M views

          Our whole DevOps stack consists of the following tools:

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

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

          • Key features: Easy and flexible installation, Clear dashboard, Great scaling operations, Monitoring is an integral part, Great load balancing concepts, Monitors the condition and ensures compensation in the event of failure.
          • Applications: An application can be deployed using a combination of pods, deployments, and services (or micro-services).
          • Functionality: Kubernetes as a complex installation and setup process, but it not as limited as Docker Swarm.
          • Monitoring: It supports multiple versions of logging and monitoring when the services are deployed within the cluster (Elasticsearch/Kibana (ELK), Heapster/Grafana, Sysdig cloud integration).
          • Scalability: All-in-one framework for distributed systems.
          • Other Benefits: Kubernetes is backed by the Cloud Native Computing Foundation (CNCF), huge community among container orchestration tools, it is an open source and modular tool that works with any OS.
          See more
          Ganesa Vijayakumar
          Full Stack Coder | Technical Architect · | 19 upvotes · 5.7M views

          I'm planning to create a web application and also a mobile application to provide a very good shopping experience to the end customers. Shortly, my application will be aggregate the product details from difference sources and giving a clear picture to the user that when and where to buy that product with best in Quality and cost.

          I have planned to develop this in many milestones for adding N number of features and I have picked my first part to complete the core part (aggregate the product details from different sources).

          As per my work experience and knowledge, I have chosen the followings stacks to this mission.

          UI: I would like to develop this application using React, React Router and React Native since I'm a little bit familiar on this and also most importantly these will help on developing both web and mobile apps. In addition, I'm gonna use the stacks JavaScript, jQuery, jQuery UI, jQuery Mobile, Bootstrap wherever required.

          Service: I have planned to use Java as the main business layer language as I have 7+ years of experience on this I believe I can do better work using Java than other languages. In addition, I'm thinking to use the stacks Node.js.

          Database and ORM: I'm gonna pick MySQL as DB and Hibernate as ORM since I have a piece of good knowledge and also work experience on this combination.

          Search Engine: I need to deal with a large amount of product data and it's in-detailed info to provide enough details to end user at the same time I need to focus on the performance area too. so I have decided to use Solr as a search engine for product search and suggestions. In addition, I'm thinking to replace Solr by Elasticsearch once explored/reviewed enough about Elasticsearch.

          Host: As of now, my plan to complete the application with decent features first and deploy it in a free hosting environment like Docker and Heroku and then once it is stable then I have planned to use the AWS products Amazon S3, EC2, Amazon RDS and Amazon Route 53. I'm not sure about Microsoft Azure that what is the specialty in it than Heroku and Amazon EC2 Container Service. Anyhow, I will do explore these once again and pick the best suite one for my requirement once I reached this level.

          Build and Repositories: I have decided to choose Apache Maven and Git as these are my favorites and also so popular on respectively build and repositories.

          Additional Utilities :) - I would like to choose Codacy for code review as their Startup plan will be very helpful to this application. I'm already experienced with Google CheckStyle and SonarQube even I'm looking something on Codacy.

          Happy Coding! Suggestions are welcome! :)

          Thanks, Ganesa

          See more
          TypeScript logo

          TypeScript

          95K
          500
          A superset of JavaScript that compiles to clean JavaScript output
          95K
          500
          PROS OF TYPESCRIPT
          • 173
            More intuitive and type safe javascript
          • 105
            Type safe
          • 80
            JavaScript superset
          • 48
            The best AltJS ever
          • 27
            Best AltJS for BackEnd
          • 15
            Powerful type system, including generics & JS features
          • 11
            Compile time errors
          • 11
            Nice and seamless hybrid of static and dynamic typing
          • 10
            Aligned with ES development for compatibility
          • 7
            Angular
          • 7
            Structural, rather than nominal, subtyping
          • 5
            Starts and ends with JavaScript
          • 1
            Garbage collection
          CONS OF TYPESCRIPT
          • 5
            Code may look heavy and confusing
          • 4
            Hype

          related TypeScript posts

          Yshay Yaacobi

          Our first experience with .NET core was when we developed our OSS feature management platform - Tweek (https://github.com/soluto/tweek). We wanted to create a solution that is able to run anywhere (super important for OSS), has excellent performance characteristics and can fit in a multi-container architecture. We decided to implement our rule engine processor in F# , our main service was implemented in C# and other components were built using JavaScript / TypeScript and Go.

          Visual Studio Code worked really well for us as well, it worked well with all our polyglot services and the .Net core integration had great cross-platform developer experience (to be fair, F# was a bit trickier) - actually, each of our team members used a different OS (Ubuntu, macos, windows). Our production deployment ran for a time on Docker Swarm until we've decided to adopt Kubernetes with almost seamless migration process.

          After our positive experience of running .Net core workloads in containers and developing Tweek's .Net services on non-windows machines, C# had gained back some of its popularity (originally lost to Node.js), and other teams have been using it for developing microservices, k8s sidecars (like https://github.com/Soluto/airbag), cli tools, serverless functions and other projects...

          See more
          Adebayo Akinlaja
          Engineering Manager at Andela · | 30 upvotes · 3.5M views

          I picked up an idea to develop and it was no brainer I had to go with React for the frontend. I was faced with challenges when it came to what component framework to use. I had worked extensively with Material-UI but I needed something different that would offer me wider range of well customized components (I became pretty slow at styling). I brought in Evergreen after several sampling and reads online but again, after several prototype development against Evergreen—since I was using TypeScript and I had to import custom Type, it felt exhaustive. After I validated Evergreen with the designs of the idea I was developing, I also noticed I might have to do a lot of styling. I later stumbled on Material Kit, the one specifically made for React . It was promising with beautifully crafted components, most of which fits into the designs pages I had on ground.

          A major problem of Material Kit for me is it isn't written in TypeScript and there isn't any plans to support its TypeScript version. I rolled up my sleeve and started converting their components to TypeScript and if you'll ask me, I am still on it.

          In summary, I used the Create React App with TypeScript support and I am spending some time converting Material Kit to TypeScript before I start developing against it. All of these components are going to be hosted on Bit.

          If you feel I am crazy or I have gotten something wrong, I'll be willing to listen to your opinion. Also, if you want to have a share of whatever TypeScript version of Material Kit I end up coming up with, let me know.

          See more
          Prettier logo

          Prettier

          7.9K
          7
          Prettier is an opinionated code formatter.
          7.9K
          7
          PROS OF PRETTIER
          • 2
            Customizable
          • 1
            Open Source
          • 1
            Atom/VSCode package
          • 1
            Follows the Ruby Style Guide by default
          • 1
            Runs offline
          • 1
            Completely free
          CONS OF PRETTIER
            Be the first to leave a con

            related Prettier posts

            Simon Reymann
            Senior Fullstack Developer at QUANTUSflow Software GmbH · | 30 upvotes · 12.1M views

            Our whole DevOps stack consists of the following tools:

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

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

            • Key features: Easy and flexible installation, Clear dashboard, Great scaling operations, Monitoring is an integral part, Great load balancing concepts, Monitors the condition and ensures compensation in the event of failure.
            • Applications: An application can be deployed using a combination of pods, deployments, and services (or micro-services).
            • Functionality: Kubernetes as a complex installation and setup process, but it not as limited as Docker Swarm.
            • Monitoring: It supports multiple versions of logging and monitoring when the services are deployed within the cluster (Elasticsearch/Kibana (ELK), Heapster/Grafana, Sysdig cloud integration).
            • Scalability: All-in-one framework for distributed systems.
            • Other Benefits: Kubernetes is backed by the Cloud Native Computing Foundation (CNCF), huge community among container orchestration tools, it is an open source and modular tool that works with any OS.
            See more
            Simon Reymann
            Senior Fullstack Developer at QUANTUSflow Software GmbH · | 24 upvotes · 5M views

            Our whole Vue.js frontend stack (incl. SSR) consists of the following tools:

            • Nuxt.js consisting of Vue CLI, Vue Router, vuex, Webpack and Sass (Bundler for HTML5, CSS 3), Babel (Transpiler for JavaScript),
            • Vue Styleguidist as our style guide and pool of developed Vue.js components
            • Vuetify as Material Component Framework (for fast app development)
            • TypeScript as programming language
            • Apollo / GraphQL (incl. GraphiQL) for data access layer (https://apollo.vuejs.org/)
            • ESLint, TSLint and Prettier for coding style and code analyzes
            • Jest as testing framework
            • Google Fonts and Font Awesome for typography and icon toolkit
            • NativeScript-Vue for mobile development

            The main reason we have chosen Vue.js over React and AngularJS is related to the following artifacts:

            • Empowered HTML. Vue.js has many similar approaches with Angular. This helps to optimize HTML blocks handling with the use of different components.
            • Detailed documentation. Vue.js has very good documentation which can fasten learning curve for developers.
            • Adaptability. It provides a rapid switching period from other frameworks. It has similarities with Angular and React in terms of design and architecture.
            • Awesome integration. Vue.js can be used for both building single-page applications and more difficult web interfaces of apps. Smaller interactive parts can be easily integrated into the existing infrastructure with no negative effect on the entire system.
            • Large scaling. Vue.js can help to develop pretty large reusable templates.
            • Tiny size. Vue.js weights around 20KB keeping its speed and flexibility. It allows reaching much better performance in comparison to other frameworks.
            See more
            TSLint logo

            TSLint

            1.9K
            0
            An extensible linter for the TypeScript language
            1.9K
            0
            PROS OF TSLINT
              Be the first to leave a pro
              CONS OF TSLINT
                Be the first to leave a con

                related TSLint posts

                Simon Reymann
                Senior Fullstack Developer at QUANTUSflow Software GmbH · | 30 upvotes · 12.1M views

                Our whole DevOps stack consists of the following tools:

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

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

                • Key features: Easy and flexible installation, Clear dashboard, Great scaling operations, Monitoring is an integral part, Great load balancing concepts, Monitors the condition and ensures compensation in the event of failure.
                • Applications: An application can be deployed using a combination of pods, deployments, and services (or micro-services).
                • Functionality: Kubernetes as a complex installation and setup process, but it not as limited as Docker Swarm.
                • Monitoring: It supports multiple versions of logging and monitoring when the services are deployed within the cluster (Elasticsearch/Kibana (ELK), Heapster/Grafana, Sysdig cloud integration).
                • Scalability: All-in-one framework for distributed systems.
                • Other Benefits: Kubernetes is backed by the Cloud Native Computing Foundation (CNCF), huge community among container orchestration tools, it is an open source and modular tool that works with any OS.
                See more
                Simon Reymann
                Senior Fullstack Developer at QUANTUSflow Software GmbH · | 24 upvotes · 5M views

                Our whole Vue.js frontend stack (incl. SSR) consists of the following tools:

                • Nuxt.js consisting of Vue CLI, Vue Router, vuex, Webpack and Sass (Bundler for HTML5, CSS 3), Babel (Transpiler for JavaScript),
                • Vue Styleguidist as our style guide and pool of developed Vue.js components
                • Vuetify as Material Component Framework (for fast app development)
                • TypeScript as programming language
                • Apollo / GraphQL (incl. GraphiQL) for data access layer (https://apollo.vuejs.org/)
                • ESLint, TSLint and Prettier for coding style and code analyzes
                • Jest as testing framework
                • Google Fonts and Font Awesome for typography and icon toolkit
                • NativeScript-Vue for mobile development

                The main reason we have chosen Vue.js over React and AngularJS is related to the following artifacts:

                • Empowered HTML. Vue.js has many similar approaches with Angular. This helps to optimize HTML blocks handling with the use of different components.
                • Detailed documentation. Vue.js has very good documentation which can fasten learning curve for developers.
                • Adaptability. It provides a rapid switching period from other frameworks. It has similarities with Angular and React in terms of design and architecture.
                • Awesome integration. Vue.js can be used for both building single-page applications and more difficult web interfaces of apps. Smaller interactive parts can be easily integrated into the existing infrastructure with no negative effect on the entire system.
                • Large scaling. Vue.js can help to develop pretty large reusable templates.
                • Tiny size. Vue.js weights around 20KB keeping its speed and flexibility. It allows reaching much better performance in comparison to other frameworks.
                See more
                Git logo

                Git

                299.8K
                6.6K
                Fast, scalable, distributed revision control system
                299.8K
                6.6K
                PROS OF GIT
                • 1.4K
                  Distributed version control system
                • 1.1K
                  Efficient branching and merging
                • 959
                  Fast
                • 845
                  Open source
                • 726
                  Better than svn
                • 368
                  Great command-line application
                • 306
                  Simple
                • 291
                  Free
                • 232
                  Easy to use
                • 222
                  Does not require server
                • 28
                  Distributed
                • 23
                  Small & Fast
                • 18
                  Feature based workflow
                • 15
                  Staging Area
                • 13
                  Most wide-spread VSC
                • 11
                  Disposable Experimentation
                • 11
                  Role-based codelines
                • 7
                  Frictionless Context Switching
                • 6
                  Data Assurance
                • 5
                  Efficient
                • 4
                  Just awesome
                • 3
                  Easy branching and merging
                • 3
                  Github integration
                • 2
                  Compatible
                • 2
                  Possible to lose history and commits
                • 2
                  Flexible
                • 1
                  Team Integration
                • 1
                  Easy
                • 1
                  Light
                • 1
                  Fast, scalable, distributed revision control system
                • 1
                  Rebase supported natively; reflog; access to plumbing
                • 1
                  Flexible, easy, Safe, and fast
                • 1
                  CLI is great, but the GUI tools are awesome
                • 1
                  It's what you do
                • 0
                  Phinx
                CONS OF GIT
                • 16
                  Hard to learn
                • 11
                  Inconsistent command line interface
                • 9
                  Easy to lose uncommitted work
                • 8
                  Worst documentation ever possibly made
                • 5
                  Awful merge handling
                • 3
                  Unexistent preventive security flows
                • 3
                  Rebase hell
                • 2
                  Ironically even die-hard supporters screw up badly
                • 2
                  When --force is disabled, cannot rebase
                • 1
                  Doesn't scale for big data

                related Git posts

                Simon Reymann
                Senior Fullstack Developer at QUANTUSflow Software GmbH · | 30 upvotes · 12.1M views

                Our whole DevOps stack consists of the following tools:

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

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

                • Key features: Easy and flexible installation, Clear dashboard, Great scaling operations, Monitoring is an integral part, Great load balancing concepts, Monitors the condition and ensures compensation in the event of failure.
                • Applications: An application can be deployed using a combination of pods, deployments, and services (or micro-services).
                • Functionality: Kubernetes as a complex installation and setup process, but it not as limited as Docker Swarm.
                • Monitoring: It supports multiple versions of logging and monitoring when the services are deployed within the cluster (Elasticsearch/Kibana (ELK), Heapster/Grafana, Sysdig cloud integration).
                • Scalability: All-in-one framework for distributed systems.
                • Other Benefits: Kubernetes is backed by the Cloud Native Computing Foundation (CNCF), huge community among container orchestration tools, it is an open source and modular tool that works with any OS.
                See more
                Tymoteusz Paul
                Devops guy at X20X Development LTD · | 23 upvotes · 10.3M 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.

                See more