Alternatives to TestFairy logo

Alternatives to TestFairy

TestFlight, HockeyApp, Crashlytics, Fabric, and Instabug are the most popular alternatives and competitors to TestFairy.
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What is TestFairy and what are its top alternatives?

When testing apps in the crowd, you never know what exactly was done, and what went wrong on the client side. TestFairy shows you a video of the exact test that was done, including CPU, memory, GPS, network and a lot more.
TestFairy is a tool in the Beta Testing / Mobile App Distribution category of a tech stack.

Top Alternatives to TestFairy

  • TestFlight
    TestFlight

    With TestFlight, developers simply upload a build, and the testers can install it directly from their device, over the air. ...

  • HockeyApp
    HockeyApp

    HockeyApp is the best way to collect live crash reports, get feedback from your users, distribute your betas, and analyze your test coverage. ...

  • Crashlytics
    Crashlytics

    Instead of just showing you the stack trace, Crashlytics performs deep analysis of each and every thread. We de-prioritize lines that don't matter while highlighting the interesting ones. This makes reading stack traces easier, faster, and far more useful! Crashlytics' intelligent grouping can take 50,000 crashes, distill them down to 20 unique issues, and then tell you which 3 are the most important to fix. ...

  • Fabric
    Fabric

    Fabric is a Python (2.5-2.7) library and command-line tool for streamlining the use of SSH for application deployment or systems administration tasks. It provides a basic suite of operations for executing local or remote shell commands (normally or via sudo) and uploading/downloading files, as well as auxiliary functionality such as prompting the running user for input, or aborting execution. ...

  • Instabug
    Instabug

    Instabug is a platform for Real-Time Contextual Insights that completely takes care of your bug reporting and user feedback process; to accelerate your workflow and allow you to release with confidence. ...

  • 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. ...

TestFairy alternatives & related posts

TestFlight logo

TestFlight

1.1K
700
163
iOS beta testing on the fly.
1.1K
700
+ 1
163
PROS OF TESTFLIGHT
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    Must have for ios development
  • 49
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  • 20
    Easy setup
  • 10
    Easy way to push out updates for internal testers
  • 7
    In-App Updates
  • 5
    Crash Logging
  • 4
    Checkpoints
  • 3
    Multiple platforms
  • 2
    Remote Logging
  • 1
    Sessions
CONS OF TESTFLIGHT
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    Utkarsh Mehta
    Senior Blockchain Developer · | 1 upvote · 4.9K views

    I created microservices with Kafka for message queue, Meteor for app development with JavaScript & TestFlight for iOS app development, Elasticsearch for logging SendGrid for automated mails. Git & GitHub for SCM.

    See more
    HockeyApp logo

    HockeyApp

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    158
    38
    Manage your betas and collect live crash reports for iOS, Android, Windows Phone, and OS X apps.
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    PROS OF HOCKEYAPP
    • 17
      Crash analytics
    • 11
      Cross-platform
    • 5
      Mobile application distribution
    • 2
      JIRA Integration
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      Open source
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      GitHub Integration
    CONS OF HOCKEYAPP
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      related HockeyApp posts

      Crashlytics logo

      Crashlytics

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      614
      340
      The world's most powerful, yet lightest weight crash reporting solution. Free for everybody.
      1K
      614
      + 1
      340
      PROS OF CRASHLYTICS
      • 78
        Crash tracking
      • 56
        Mobile exception tracking
      • 53
        Free
      • 37
        Easy deployment
      • 25
        Ios
      • 15
        Great ui
      • 11
        Great reports
      • 10
        Android
      • 8
        Advanced Logging
      • 7
        Monitor Tester Lifecycle
      • 3
        Mac APP and IDE Plugins
      • 3
        Great User Experience
      • 3
        In Real-Time
      • 3
        iOS SDK
      • 3
        Security
      • 3
        Android SDK
      • 2
        The UI is simple and it just works
      • 2
        Best UI
      • 2
        Light
      • 2
        Real-time
      • 2
        Seamless
      • 2
        Painless App Distribution
      • 2
        Crash Reporting
      • 2
        Beta distribution
      • 2
        Mobile Analytics
      • 2
        Deep Workflow Integration
      • 1
        IOS QA Deploy and tracking
      • 1
        Easy iOS Integration
      CONS OF CRASHLYTICS
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        related Crashlytics posts

        Алексей Нестерчук
        Shared insights
        on
        AWS ConfigAWS ConfigCrashlyticsCrashlytics

        From firebase Crashlytics, everything is simple, we install SDK and configs, and then we can see all the crashes. With AWS, it is not clear to me which service to use for the same purpose as configuring it. Correctly I understand that for automatic sending of all crashes, you need to use AWS Config?

        See more

        When we first built the ArifZefen app our focus was around validating our business assumptions and finding a good product fit. Once we got to a few thousand users, it became clear that we needed to make quality a priority and that meant we needed a reliable tool that will allow us to monitor the health of our app. Crashlytics (now Fabric by Twitter ) was on a short list of solutions we closely explored and we were very happy with its ease of integration and the consistency it brought to our Cocoa Touch (iOS) and Android SDK crash monitoring.

        Its daily pulse emails were also super informative in giving us a good sense of how each platform was doing in terms of crash-free and new users, daily actives and other relevant session data. These emails also surfaced any anomalies in daily trends, alerting us of any reason for concern. Overall, Crashlytics was instrumental in allowing us to quickly discover and diagnose crashes and it is one of the main reasons we were able to keep our app store ratings reasonable high. But perhaps even more importantly, we were able to set a high quality bar for our users that absent Crashlytics would have been difficult to maintain.

        See more
        Fabric logo

        Fabric

        452
        306
        75
        Simple, Pythonic remote execution and deployment
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        + 1
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        PROS OF FABRIC
        • 23
          Python
        • 21
          Simple
        • 5
          Low learning curve, from bash script to Python power
        • 5
          Installation feedback for Twitter App Cards
        • 3
          Easy on maintainance
        • 3
          Single config file
        • 3
          Installation? pip install fabric... Boom
        • 3
          Easy to add any type of job
        • 3
          Agentless
        • 2
          Easily automate any set system automation
        • 1
          Flexible
        • 1
          Crash Analytics
        • 1
          Backward compatibility
        • 1
          Remote sudo execution
        CONS OF FABRIC
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          related Fabric posts

          Instabug logo

          Instabug

          80
          115
          279
          Receive Real-Time Contextual Insights to iterate faster and ship quality apps with confidence.
          80
          115
          + 1
          279
          PROS OF INSTABUG
          • 42
            In-app feedback
          • 42
            Bug Reporting
          • 35
            Simple, smart and time saving
          • 34
            Clean UI, easy to integrate, and superior in features
          • 32
            Multiple integrations available
          • 30
            Customer support
          • 27
            Free Trial
          • 23
            It is a world class product, and they give ears to us
          • 14
            "Shake to Send" Bug Reporting Feature
          CONS OF INSTABUG
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            JavaScript logo

            JavaScript

            353.1K
            268.6K
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            Lightweight, interpreted, object-oriented language with first-class functions
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            PROS OF JAVASCRIPT
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              Can be used on frontend/backend
            • 1.5K
              It's everywhere
            • 1.2K
              Lots of great frameworks
            • 897
              Fast
            • 745
              Light weight
            • 425
              Flexible
            • 392
              You can't get a device today that doesn't run js
            • 286
              Non-blocking i/o
            • 237
              Ubiquitousness
            • 191
              Expressive
            • 55
              Extended functionality to web pages
            • 49
              Relatively easy language
            • 46
              Executed on the client side
            • 30
              Relatively fast to the end user
            • 25
              Pure Javascript
            • 21
              Functional programming
            • 15
              Async
            • 13
              Full-stack
            • 12
              Setup is easy
            • 12
              Future Language of The Web
            • 12
              Its everywhere
            • 11
              Because I love functions
            • 11
              JavaScript is the New PHP
            • 10
              Like it or not, JS is part of the web standard
            • 9
              Expansive community
            • 9
              Everyone use it
            • 9
              Can be used in backend, frontend and DB
            • 9
              Easy
            • 8
              Most Popular Language in the World
            • 8
              Powerful
            • 8
              Can be used both as frontend and backend as well
            • 8
              For the good parts
            • 8
              No need to use PHP
            • 8
              Easy to hire developers
            • 7
              Agile, packages simple to use
            • 7
              Love-hate relationship
            • 7
              Photoshop has 3 JS runtimes built in
            • 7
              Evolution of C
            • 7
              It's fun
            • 7
              Hard not to use
            • 7
              Versitile
            • 7
              Its fun and fast
            • 7
              Nice
            • 7
              Popularized Class-Less Architecture & Lambdas
            • 7
              Supports lambdas and closures
            • 6
              It let's me use Babel & Typescript
            • 6
              Can be used on frontend/backend/Mobile/create PRO Ui
            • 6
              1.6K Can be used on frontend/backend
            • 6
              Client side JS uses the visitors CPU to save Server Res
            • 6
              Easy to make something
            • 5
              Clojurescript
            • 5
              Promise relationship
            • 5
              Stockholm Syndrome
            • 5
              Function expressions are useful for callbacks
            • 5
              Scope manipulation
            • 5
              Everywhere
            • 5
              Client processing
            • 5
              What to add
            • 4
              Because it is so simple and lightweight
            • 4
              Only Programming language on browser
            • 1
              Test
            • 1
              Hard to learn
            • 1
              Test2
            • 1
              Not the best
            • 1
              Easy to understand
            • 1
              Subskill #4
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              Easy to learn
            • 0
              Hard 彤
            CONS OF JAVASCRIPT
            • 22
              A constant moving target, too much churn
            • 20
              Horribly inconsistent
            • 15
              Javascript is the New PHP
            • 9
              No ability to monitor memory utilitization
            • 8
              Shows Zero output in case of ANY error
            • 7
              Thinks strange results are better than errors
            • 6
              Can be ugly
            • 3
              No GitHub
            • 2
              Slow

            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.

            See more
            Conor Myhrvold
            Tech Brand Mgr, Office of CTO at Uber · | 44 upvotes · 10.9M 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

            292.2K
            175.1K
            6.6K
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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
              Simple
            • 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
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            • 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 · 9.8M 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 · 8.8M 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

            280.9K
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            Powerful collaboration, review, and code management for open source and private development projects
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            • 1.8K
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            • 486
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            • 147
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            • 121
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            • 116
              Github Gists
            • 112
              Github pages
            • 83
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            • 62
              Open source
            • 60
              It's free
            • 60
              Easy to find projects
            • 56
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            • 49
              Extensive API
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            • 42
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            • 34
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            • 32
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            • 30
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            • 24
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            • 23
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            • 22
              Community SDK involvement
            • 20
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            • 16
              Because: Git
            • 14
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            • 10
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            • 10
              Newsfeed
            • 8
              It integrates directly with Hipchat
            • 8
              Fast
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            • 7
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            • 6
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            • 6
              Cloud SCM
            • 6
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            • 6
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            • 6
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            • 5
              Quick Onboarding
            • 5
              Reliable
            • 5
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            • 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.

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            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

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