Alternatives to Pandoc logo

Alternatives to Pandoc

Sphinx, wkhtmltopdf, Markdown, Jekyll, and Asciidoctor are the most popular alternatives and competitors to Pandoc.
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What is Pandoc and what are its top alternatives?

Pandoc is a versatile document converter that supports a wide range of formats including Markdown, HTML, PDF, and more. It allows users to easily convert files between different formats and customize the output using various options. However, some limitations of Pandoc include a steep learning curve for beginners and occasional issues with complex document conversions.

  1. AsciiDoc: Asciidoctor is a powerful documentation tool that supports text formatting and converting to various formats like HTML and PDF. Pros include rich formatting options and robust syntax while cons include a slightly steeper learning curve compared to Pandoc.
  2. Marked: Marked is a lightweight markdown parser and compiler that offers real-time previews of your markdown files. It is easy to use and offers a simple interface, but lacks some advanced features available in Pandoc.
  3. MultiMarkdown: MultiMarkdown is an extended version of markdown that offers additional features like tables and footnotes. Pros include enhanced markdown support while cons include potential compatibility issues with standard markdown.
  4. Pegdown: Pegdown is a fast markdown processor for Java that offers compatibility with standard markdown syntax. Pros include speed and performance, but it may lack some of the advanced features available in Pandoc.
  5. ReText: ReText is a simple and lightweight markdown editor with support for various formats like HTML and ODT. Pros include a clean interface and easy integration with Pandoc for conversions, while cons include limited customization options.
  6. Remarkable: Remarkable is a powerful markdown editor with real-time previews and export options to formats like PDF and HTML. Pros include a user-friendly interface and robust feature set, but it may not be as versatile as Pandoc.
  7. MarkdownPad: MarkdownPad is a markdown editor for Windows with features like syntax highlighting and live preview. Pros include a simple interface and compatibility with Pandoc, while cons include limited export options compared to Pandoc.
  8. Docverter: Docverter is an online document conversion tool that supports various formats like Markdown, LaTeX, and PDF. Pros include ease of use and cloud-based functionality, but it may not offer the same level of customization as Pandoc.
  9. Paged.js: Paged.js is a tool for creating paginated documents using web standards like HTML and CSS. Pros include compatibility with modern web technologies and flexibility in document formatting, but it may require more technical knowledge compared to Pandoc.
  10. CommonMark: CommonMark is a standardized version of markdown that aims for consistency across different markdown implementations. Pros include improved compatibility between tools, while cons include potential differences in behavior compared to Pandoc's markdown parsing.

Top Alternatives to Pandoc

  • Sphinx
    Sphinx

    It lets you either batch index and search data stored in an SQL database, NoSQL storage, or just files quickly and easily — or index and search data on the fly, working with it pretty much as with a database server. ...

  • wkhtmltopdf
    wkhtmltopdf

    wkhtmltopdf and wkhtmltoimage are command line tools to render HTML into PDF and various image formats using the QT Webkit rendering engine. These run entirely "headless" and do not require a display or display service. ...

  • Markdown
    Markdown

    Markdown is two things: (1) a plain text formatting syntax; and (2) a software tool, written in Perl, that converts the plain text formatting to HTML. ...

  • Jekyll
    Jekyll

    Think of Jekyll as a file-based CMS, without all the complexity. Jekyll takes your content, renders Markdown and Liquid templates, and spits out a complete, static website ready to be served by Apache, Nginx or another web server. Jekyll is the engine behind GitHub Pages, which you can use to host sites right from your GitHub repositories. ...

  • Asciidoctor
    Asciidoctor

    It is a fast, open source text processor and publishing toolchain for converting AsciiDoc content to HTML5, DocBook, PDF, and other formats. Asciidoctor is written in Ruby and runs on all major operating systems ...

  • JavaScript
    JavaScript

    JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles. ...

  • Git
    Git

    Git is a free and open source distributed version control system designed to handle everything from small to very large projects with speed and efficiency. ...

  • GitHub
    GitHub

    GitHub is the best place to share code with friends, co-workers, classmates, and complete strangers. Over three million people use GitHub to build amazing things together. ...

Pandoc alternatives & related posts

Sphinx logo

Sphinx

902
300
32
Open source full text search server, designed from the ground up with performance, relevance (aka search quality), and...
902
300
+ 1
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PROS OF SPHINX
  • 16
    Fast
  • 9
    Simple deployment
  • 6
    Open source
  • 1
    Lots of extentions
CONS OF SPHINX
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    wkhtmltopdf logo

    wkhtmltopdf

    57
    110
    0
    Convert HTML to PDF using Webkit (QtWebKit)
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        Markdown logo

        Markdown

        21.6K
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        • 345
          Easy formatting
        • 246
          Widely adopted
        • 194
          Intuitive
        • 132
          Github integration
        • 41
          Great for note taking
        • 2
          Defacto GitHub lingo
        CONS OF MARKDOWN
        • 2
          Cannot centralise (HTML code needed)
        • 1
          Inconsistend flavours eg github, reddit, mmd etc
        • 1
          Limited syntax
        • 1
          Not suitable for longer documents
        • 1
          Non-extensible
        • 1
          No right indentation
        • 1
          No underline
        • 1
          Unable to indent tables

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        Vaibhav Taunk
        Team Lead at Technovert · | 31 upvotes · 4.2M views

        I am starting to become a full-stack developer, by choosing and learning .NET Core for API Development, Angular CLI / React for UI Development, MongoDB for database, as it a NoSQL DB and Flutter / React Native for Mobile App Development. Using Postman, Markdown and Visual Studio Code for development.

        See more
        Simon Reymann
        Senior Fullstack Developer at QUANTUSflow Software GmbH · | 30 upvotes · 10.7M views

        Our whole DevOps stack consists of the following tools:

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

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

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

        Jekyll

        1.9K
        1.4K
        230
        Blog-aware, static site generator in Ruby
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        PROS OF JEKYLL
        • 74
          Github pages integration
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          Open source
        • 37
          It's slick, customisable and hackerish
        • 24
          Easy to deploy
        • 23
          Straightforward cms for the hacker mindset
        • 7
          Gitlab pages integration
        • 5
          Best for blogging
        • 2
          Low maintenance
        • 2
          Easy to integrate localization
        • 1
          Huge plugins ecosystem
        • 1
          Authoring freedom and simplicity
        CONS OF JEKYLL
        • 4
          Build time increases exponentially as site grows
        • 2
          Lack of developments lately
        • 1
          Og doesn't work with postings dynamically

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        Dale Ross
        Independent Contractor at Self Employed · | 22 upvotes · 1.6M views

        I've heard that I have the ability to write well, at times. When it flows, it flows. I decided to start blogging in 2013 on Blogger. I started a company and joined BizPark with the Microsoft Azure allotment. I created a WordPress blog and did a migration at some point. A lot happened in the time after that migration but I stopped coding and changed cities during tumultuous times that taught me many lessons concerning mental health and productivity. I eventually graduated from BizSpark and outgrew the credit allotment. That killed the WordPress blog.

        I blogged about writing again on the existing Blogger blog but it didn't feel right. I looked at a few options where I wouldn't have to worry about hosting cost indefinitely and Jekyll stood out with GitHub Pages. The Importer was fairly straightforward for the existing blog posts.

        Todo * Set up redirects for all posts on blogger. The URI format is different so a complete redirect wouldn't work. Although, there may be something in Jekyll that could manage the redirects. I did notice the old URLs were stored in the front matter. I'm working on a command-line Ruby gem for the current plan. * I did find some of the lost WordPress posts on archive.org that I downloaded with the waybackmachinedownloader. I think I might write an importer for that. * I still have a few Disqus comment threads to map

        See more
        Josh Dzielak
        Co-Founder & CTO at Orbit · | 5 upvotes · 524.6K views
        Shared insights
        on
        JekyllJekyllHugoHugo

        Earlier this year, I migrated my personal website (dzello.com) from Jekyll to Hugo. My goal with the migration was to make the development environment as pleasant as possible and to make it really easy to add new types of content. For example, I knew I wanted to add a consulting page and some portfolio-style pages to show off talks I had given and projects I had worked on.

        I had heard about how fast Hugo was, so I tried it out with my content after using a simple migration tool. The results were impressive - the startup and rebuild times were in milliseconds, making the process of iterating on content or design less cumbersome. Then I started to see how I could use Hugo to create new page types and was very impressed by the flexibility of the content model. It took me a few days to really understand where content should go with Hugo, but then I felt very confident that I could create many different types of pages - even multiple blogs if I wanted - using a consistent syntax and with full control of the layouts and the URLs.

        After about 6 months, I've been very happy with the results of the migration. The dev environment is light and fast and I feel at ease adding new pages and sections to the site.

        See more
        Asciidoctor logo

        Asciidoctor

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        An open source, pure Ruby processor for converting AsciiDoc documents or strings into HTML and other formats
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        PROS OF ASCIIDOCTOR
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        • 1
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        • 0
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        CONS OF ASCIIDOCTOR
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          JavaScript logo

          JavaScript

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            Ubiquitousness
          • 191
            Expressive
          • 55
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          • 49
            Relatively easy language
          • 46
            Executed on the client side
          • 30
            Relatively fast to the end user
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            Functional programming
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            Setup is easy
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          • 12
            Its everywhere
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            JavaScript is the New PHP
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            Like it or not, JS is part of the web standard
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            Expansive community
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            Everyone use it
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            Can be used in backend, frontend and DB
          • 9
            Easy
          • 8
            Most Popular Language in the World
          • 8
            Powerful
          • 8
            Can be used both as frontend and backend as well
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            For the good parts
          • 8
            No need to use PHP
          • 8
            Easy to hire developers
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            Agile, packages simple to use
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            Love-hate relationship
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            Photoshop has 3 JS runtimes built in
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            Evolution of C
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            Versitile
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            It let's me use Babel & Typescript
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            Can be used on frontend/backend/Mobile/create PRO Ui
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            Client side JS uses the visitors CPU to save Server Res
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            Clojurescript
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            Promise relationship
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            Stockholm Syndrome
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            Function expressions are useful for callbacks
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            Scope manipulation
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            Everywhere
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            Client processing
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            What to add
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            Because it is so simple and lightweight
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            Only Programming language on browser
          • 1
            Test
          • 1
            Hard to learn
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            Test2
          • 1
            Not the best
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            Easy to understand
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            Subskill #4
          • 1
            Easy to learn
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            Hard 彤
          CONS OF JAVASCRIPT
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            A constant moving target, too much churn
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            Horribly inconsistent
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            Javascript is the New PHP
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            No ability to monitor memory utilitization
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            Shows Zero output in case of ANY error
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            Thinks strange results are better than errors
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            Can be ugly
          • 3
            No GitHub
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            HORRIBLE DOCUMENTS, faulty code, repo has bugs

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          Zach Holman

          Oof. I have truly hated JavaScript for a long time. Like, for over twenty years now. Like, since the Clinton administration. It's always been a nightmare to deal with all of the aspects of that silly language.

          But wowza, things have changed. Tooling is just way, way better. I'm primarily web-oriented, and using React and Apollo together the past few years really opened my eyes to building rich apps. And I deeply apologize for using the phrase rich apps; I don't think I've ever said such Enterprisey words before.

          But yeah, things are different now. I still love Rails, and still use it for a lot of apps I build. But it's that silly rich apps phrase that's the problem. Users have way more comprehensive expectations than they did even five years ago, and the JS community does a good job at building tools and tech that tackle the problems of making heavy, complicated UI and frontend work.

          Obviously there's a lot of things happening here, so just saying "JavaScript isn't terrible" might encompass a huge amount of libraries and frameworks. But if you're like me, yeah, give things another shot- I'm somehow not hating on JavaScript anymore and... gulp... I kinda love it.

          See more
          Conor Myhrvold
          Tech Brand Mgr, Office of CTO at Uber · | 44 upvotes · 12.5M views

          How Uber developed the open source, end-to-end distributed tracing Jaeger , now a CNCF project:

          Distributed tracing is quickly becoming a must-have component in the tools that organizations use to monitor their complex, microservice-based architectures. At Uber, our open source distributed tracing system Jaeger saw large-scale internal adoption throughout 2016, integrated into hundreds of microservices and now recording thousands of traces every second.

          Here is the story of how we got here, from investigating off-the-shelf solutions like Zipkin, to why we switched from pull to push architecture, and how distributed tracing will continue to evolve:

          https://eng.uber.com/distributed-tracing/

          (GitHub Pages : https://www.jaegertracing.io/, GitHub: https://github.com/jaegertracing/jaeger)

          Bindings/Operator: Python Java Node.js Go C++ Kubernetes JavaScript OpenShift C# Apache Spark

          See more
          Git logo

          Git

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          PROS OF GIT
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            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
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          • 291
            Free
          • 232
            Easy to use
          • 222
            Does not require server
          • 27
            Distributed
          • 22
            Small & Fast
          • 18
            Feature based workflow
          • 15
            Staging Area
          • 13
            Most wide-spread VSC
          • 11
            Role-based codelines
          • 11
            Disposable Experimentation
          • 7
            Frictionless Context Switching
          • 6
            Data Assurance
          • 5
            Efficient
          • 4
            Just awesome
          • 3
            Github integration
          • 3
            Easy branching and merging
          • 2
            Compatible
          • 2
            Flexible
          • 2
            Possible to lose history and commits
          • 1
            Rebase supported natively; reflog; access to plumbing
          • 1
            Light
          • 1
            Team Integration
          • 1
            Fast, scalable, distributed revision control system
          • 1
            Easy
          • 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
          • 7
            Worst documentation ever possibly made
          • 5
            Awful merge handling
          • 3
            Unexistent preventive security flows
          • 3
            Rebase hell
          • 2
            When --force is disabled, cannot rebase
          • 2
            Ironically even die-hard supporters screw up badly
          • 1
            Doesn't scale for big data

          related Git posts

          Simon Reymann
          Senior Fullstack Developer at QUANTUSflow Software GmbH · | 30 upvotes · 10.7M views

          Our whole DevOps stack consists of the following tools:

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

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

          • Key features: Easy and flexible installation, Clear dashboard, Great scaling operations, Monitoring is an integral part, Great load balancing concepts, Monitors the condition and ensures compensation in the event of failure.
          • Applications: An application can be deployed using a combination of pods, deployments, and services (or micro-services).
          • Functionality: Kubernetes as a complex installation and setup process, but it not as limited as Docker Swarm.
          • Monitoring: It supports multiple versions of logging and monitoring when the services are deployed within the cluster (Elasticsearch/Kibana (ELK), Heapster/Grafana, Sysdig cloud integration).
          • Scalability: All-in-one framework for distributed systems.
          • Other Benefits: Kubernetes is backed by the Cloud Native Computing Foundation (CNCF), huge community among container orchestration tools, it is an open source and modular tool that works with any OS.
          See more
          Tymoteusz Paul
          Devops guy at X20X Development LTD · | 23 upvotes · 9.6M 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
          GitHub logo

          GitHub

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          • 5
            Quick Onboarding
          • 5
            Reliable
          • 5
            Remarkable uptime
          • 5
            CI Integration
          • 5
            Hands down best online Git service available
          • 4
            Uses GIT
          • 4
            Version Control
          • 4
            Simple but powerful
          • 4
            Unlimited Public Repos at no cost
          • 4
            Free HTML hosting
          • 4
            Security options
          • 4
            Loved by developers
          • 4
            Easy to use and collaborate with others
          • 3
            Ci
          • 3
            IAM
          • 3
            Nice to use
          • 3
            Easy deployment via SSH
          • 2
            Easy to use
          • 2
            Leads the copycats
          • 2
            All in one development service
          • 2
            Free private repos
          • 2
            Free HTML hostings
          • 2
            Easy and efficient maintainance of the projects
          • 2
            Beautiful
          • 2
            Easy source control and everything is backed up
          • 2
            IAM integration
          • 2
            Very Easy to Use
          • 2
            Good tools support
          • 2
            Issues tracker
          • 2
            Never dethroned
          • 2
            Self Hosted
          • 1
            Dasf
          • 1
            Profound
          CONS OF GITHUB
          • 54
            Owned by micrcosoft
          • 38
            Expensive for lone developers that want private repos
          • 15
            Relatively slow product/feature release cadence
          • 10
            API scoping could be better
          • 9
            Only 3 collaborators for private repos
          • 4
            Limited featureset for issue management
          • 3
            Does not have a graph for showing history like git lens
          • 2
            GitHub Packages does not support SNAPSHOT versions
          • 1
            No multilingual interface
          • 1
            Takes a long time to commit
          • 1
            Expensive

          related GitHub posts

          Johnny Bell

          I was building a personal project that I needed to store items in a real time database. I am more comfortable with my Frontend skills than my backend so I didn't want to spend time building out anything in Ruby or Go.

          I stumbled on Firebase by #Google, and it was really all I needed. It had realtime data, an area for storing file uploads and best of all for the amount of data I needed it was free!

          I built out my application using tools I was familiar with, React for the framework, Redux.js to manage my state across components, and styled-components for the styling.

          Now as this was a project I was just working on in my free time for fun I didn't really want to pay for hosting. I did some research and I found Netlify. I had actually seen them at #ReactRally the year before and deployed a Gatsby site to Netlify already.

          Netlify was very easy to setup and link to my GitHub account you select a repo and pretty much with very little configuration you have a live site that will deploy every time you push to master.

          With the selection of these tools I was able to build out my application, connect it to a realtime database, and deploy to a live environment all with $0 spent.

          If you're looking to build out a small app I suggest giving these tools a go as you can get your idea out into the real world for absolutely no cost.

          See more

          Context: I wanted to create an end to end IoT data pipeline simulation in Google Cloud IoT Core and other GCP services. I never touched Terraform meaningfully until working on this project, and it's one of the best explorations in my development career. The documentation and syntax is incredibly human-readable and friendly. I'm used to building infrastructure through the google apis via Python , but I'm so glad past Sung did not make that decision. I was tempted to use Google Cloud Deployment Manager, but the templates were a bit convoluted by first impression. I'm glad past Sung did not make this decision either.

          Solution: Leveraging Google Cloud Build Google Cloud Run Google Cloud Bigtable Google BigQuery Google Cloud Storage Google Compute Engine along with some other fun tools, I can deploy over 40 GCP resources using Terraform!

          Check Out My Architecture: CLICK ME

          Check out the GitHub repo attached

          See more