Alternatives to Docker Hub logo

Alternatives to Docker Hub

Quay.io, Docker Cloud, Amazon ECR, Kubernetes, and GitHub are the most popular alternatives and competitors to Docker Hub.
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What is Docker Hub and what are its top alternatives?

It is the world's easiest way to create, manage, and deliver your teams' container applications. It is the perfect home for your teams' applications.
Docker Hub is a tool in the Container Tools category of a tech stack.

Top Alternatives to Docker Hub

  • Quay.io

    Quay.io

    Simply upload your Dockerfile (and any additional files it needs) and we'll build your Dockerfile into an image and push it to your repository. ...

  • Docker Cloud

    Docker Cloud

    Docker Cloud is the best way to deploy and manage Dockerized applications. Docker Cloud makes it easy for new Docker users to manage and deploy the full spectrum of applications, from single container apps to distributed microservices stacks, to any cloud or on-premises infrastructure. ...

  • Amazon ECR

    Amazon ECR

    It is a fully managed container registry that makes it easy to store, manage, share, and deploy your container images and artifacts anywhere. It eliminates the need to operate your own container repositories or worry about scaling the underlying infrastructure. ...

  • Kubernetes

    Kubernetes

    Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions. ...

  • 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. ...

  • Docker

    Docker

    The Docker Platform is the industry-leading container platform for continuous, high-velocity innovation, enabling organizations to seamlessly build and share any application — from legacy to what comes next — and securely run them anywhere ...

  • jFrog

    jFrog

    Host, manage and proxy artifacts using the best Docker Registry, Maven Repository, Gradle repository, NuGet repository, Ruby repository, Debian repository npm repository, Yum repository. ...

  • Docker Compose

    Docker Compose

    With Compose, you define a multi-container application in a single file, then spin your application up in a single command which does everything that needs to be done to get it running. ...

Docker Hub alternatives & related posts

Quay.io logo

Quay.io

60
61
7
Secure hosting for private Docker repositories
60
61
+ 1
7
PROS OF QUAY.IO
  • 6
    Great UI
  • 1
    API
  • 0
    Docker cloud repositories are public by default. Bad
CONS OF QUAY.IO
    Be the first to leave a con

    related Quay.io posts

    Docker Cloud logo

    Docker Cloud

    77
    116
    11
    A hosted service for Docker container management and deployment
    77
    116
    + 1
    11
    PROS OF DOCKER CLOUD
    • 9
      Easy to use
    • 2
      Seamless transition from docker compose
    CONS OF DOCKER CLOUD
      Be the first to leave a con

      related Docker Cloud posts

      Amazon ECR logo

      Amazon ECR

      257
      126
      4
      Share and deploy container software, publicly or privately
      257
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      + 1
      4
      PROS OF AMAZON ECR
      • 1
        Highly secure as policies can be configured to manage p
      • 1
        Familiar to AWS users and easy to use
      • 1
        No upfront fees or commitments. You pay only for the am
      • 1
        Tight integration with Amazon ECS and the Docker CLI, a
      CONS OF AMAZON ECR
      • 1
        Lack of insight into registry usage
      • 1
        Difficult to use with docker client as it requires crea
      • 1
        Potentially expensive if the containers being deployed

      related Amazon ECR posts

      Shared insights
      on
      Amazon ECRAmazon ECRDocker HubDocker Hub

      We have been using Docker Hub free plan for some time, which had automated builds feature included in the free plan. Recently it has been removed from the free plan. Therefore we have thought to either go ahead with a paid plan of Docker Hub, which includes automated builds feature or migrate to use Amazon ECR as the container registry management solution. Since we already use some AWS services, going ahead with Amazon ECR is a viable solution. I am a bit confused as to what would be the best choice going ahead. Please advice...!

      See more
      Kubernetes logo

      Kubernetes

      39K
      33.2K
      628
      Manage a cluster of Linux containers as a single system to accelerate Dev and simplify Ops
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      PROS OF KUBERNETES
      • 159
        Leading docker container management solution
      • 124
        Simple and powerful
      • 101
        Open source
      • 75
        Backed by google
      • 56
        The right abstractions
      • 24
        Scale services
      • 18
        Replication controller
      • 9
        Permission managment
      • 7
        Simple
      • 7
        Supports autoscaling
      • 6
        Cheap
      • 4
        Self-healing
      • 4
        Reliable
      • 4
        No cloud platform lock-in
      • 3
        Open, powerful, stable
      • 3
        Scalable
      • 3
        Quick cloud setup
      • 3
        Promotes modern/good infrascture practice
      • 2
        Backed by Red Hat
      • 2
        Runs on azure
      • 2
        Cloud Agnostic
      • 2
        Custom and extensibility
      • 2
        Captain of Container Ship
      • 2
        A self healing environment with rich metadata
      • 1
        Golang
      • 1
        Easy setup
      • 1
        Everything of CaaS
      • 1
        Sfg
      • 1
        Expandable
      • 1
        Gke
      CONS OF KUBERNETES
      • 13
        Poor workflow for development
      • 11
        Steep learning curve
      • 5
        Orchestrates only infrastructure
      • 2
        High resource requirements for on-prem clusters

      related Kubernetes posts

      Conor Myhrvold
      Tech Brand Mgr, Office of CTO at Uber · | 39 upvotes · 4.2M 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
      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
      GitHub logo

      GitHub

      189K
      155.6K
      10.2K
      Powerful collaboration, review, and code management for open source and private development projects
      189K
      155.6K
      + 1
      10.2K
      PROS OF GITHUB
      • 1.8K
        Open source friendly
      • 1.5K
        Easy source control
      • 1.2K
        Nice UI
      • 1.1K
        Great for team collaboration
      • 861
        Easy setup
      • 501
        Issue tracker
      • 484
        Great community
      • 480
        Remote team collaboration
      • 448
        Great way to share
      • 441
        Pull request and features planning
      • 144
        Just works
      • 130
        Integrated in many tools
      • 116
        Free Public Repos
      • 110
        Github Gists
      • 108
        Github pages
      • 81
        Easy to find repos
      • 60
        Open source
      • 58
        Easy to find projects
      • 56
        Network effect
      • 55
        It's free
      • 47
        Extensive API
      • 42
        Organizations
      • 41
        Branching
      • 33
        Developer Profiles
      • 32
        Git Powered Wikis
      • 29
        Great for collaboration
      • 23
        It's fun
      • 22
        Community SDK involvement
      • 21
        Clean interface and good integrations
      • 19
        Learn from others source code
      • 14
        It integrates directly with Azure
      • 14
        Because: Git
      • 13
        Wide acceptance
      • 10
        Large community
      • 9
        Newsfeed
      • 9
        Standard in Open Source collab
      • 8
        It integrates directly with Hipchat
      • 7
        Beautiful user experience
      • 7
        Fast
      • 6
        Easy to discover new code libraries
      • 6
        Cloud SCM
      • 5
        Graphs
      • 5
        Smooth integration
      • 5
        Nice API
      • 5
        Integrations
      • 5
        It's awesome
      • 4
        Remarkable uptime
      • 4
        Hands down best online Git service available
      • 4
        Reliable
      • 3
        Easy to use and collaborate with others
      • 3
        CI Integration
      • 3
        Free HTML hosting
      • 3
        Loved by developers
      • 3
        Quick Onboarding
      • 3
        Security options
      • 3
        Simple but powerful
      • 3
        Uses GIT
      • 3
        Unlimited Public Repos at no cost
      • 3
        Version Control
      • 2
        Nice to use
      • 1
        Free private repos
      • 1
        Easy deployment via SSH
      • 1
        Beautiful
      • 1
        Owned by micrcosoft
      • 1
        Free HTML hostings
      • 1
        Self Hosted
      • 1
        All in one development service
      • 1
        Easy to use
      • 1
        Good tools support
      • 1
        Easy source control and everything is backed up
      • 1
        Leads the copycats
      • 1
        Never dethroned
      • 1
        Ci
      • 1
        Issues tracker
      • 1
        Easy and efficient maintainance of the projects
      • 1
        IAM
      • 1
        IAM integration
      • 0
        Profound
      • 0
        1
      CONS OF GITHUB
      • 46
        Owned by micrcosoft
      • 36
        Expensive for lone developers that want private repos
      • 15
        Relatively slow product/feature release cadence
      • 10
        API scoping could be better
      • 8
        Only 3 collaborators for private repos
      • 3
        Limited featureset for issue management
      • 2
        GitHub Packages does not support SNAPSHOT versions
      • 1
        Have to use a token for the package registry
      • 1
        No multilingual interface
      • 1
        Takes a long time to commit

      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
      Simon Reymann
      Senior Fullstack Developer at QUANTUSflow Software GmbH · | 28 upvotes · 3.3M 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
      Docker logo

      Docker

      115.2K
      92K
      3.8K
      Enterprise Container Platform for High-Velocity Innovation.
      115.2K
      92K
      + 1
      3.8K
      PROS OF DOCKER
      • 821
        Rapid integration and build up
      • 688
        Isolation
      • 517
        Open source
      • 505
        Testa­bil­i­ty and re­pro­ducibil­i­ty
      • 459
        Lightweight
      • 217
        Standardization
      • 182
        Scalable
      • 105
        Upgrading / down­grad­ing / ap­pli­ca­tion versions
      • 86
        Security
      • 84
        Private paas environments
      • 33
        Portability
      • 25
        Limit resource usage
      • 15
        I love the way docker has changed virtualization
      • 15
        Game changer
      • 12
        Fast
      • 11
        Concurrency
      • 7
        Docker's Compose tools
      • 4
        Fast and Portable
      • 4
        Easy setup
      • 4
        Because its fun
      • 3
        Makes shipping to production very simple
      • 2
        It's dope
      • 1
        Highly useful
      • 1
        MacOS support FAKE
      • 1
        Its cool
      • 1
        Docker hub for the FTW
      • 1
        Very easy to setup integrate and build
      • 1
        Package the environment with the application
      • 1
        Does a nice job hogging memory
      • 1
        Open source and highly configurable
      • 1
        Simplicity, isolation, resource effective
      CONS OF DOCKER
      • 7
        New versions == broken features
      • 5
        Documentation not always in sync
      • 5
        Unreliable networking
      • 3
        Moves quickly
      • 2
        Not Secure

      related Docker posts

      Simon Reymann
      Senior Fullstack Developer at QUANTUSflow Software GmbH · | 28 upvotes · 3.3M 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 · 4.6M 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
      jFrog logo

      jFrog

      92
      68
      0
      Universal Artifact Management
      92
      68
      + 1
      0
      PROS OF JFROG
        Be the first to leave a pro
        CONS OF JFROG
          Be the first to leave a con

          related jFrog posts

          Docker Compose logo

          Docker Compose

          14.9K
          10.9K
          477
          Define and run multi-container applications with Docker
          14.9K
          10.9K
          + 1
          477
          PROS OF DOCKER COMPOSE
          • 121
            Multi-container descriptor
          • 109
            Fast development environment setup
          • 75
            Easy linking of containers
          • 66
            Simple yaml configuration
          • 58
            Easy setup
          • 15
            Yml or yaml format
          • 11
            Use Standard Docker API
          • 7
            Open source
          • 4
            Can choose Discovery Backend
          • 4
            Go from template to application in minutes
          • 2
            Scalable
          • 2
            Easy configuration
          • 2
            Kubernetes integration
          • 1
            Quick and easy
          CONS OF DOCKER COMPOSE
          • 8
            Tied to single machine
          • 5
            Still very volatile, changing syntax often

          related Docker Compose posts

          Simon Reymann
          Senior Fullstack Developer at QUANTUSflow Software GmbH · | 28 upvotes · 3.3M 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

          Recently I have been working on an open source stack to help people consolidate their personal health data in a single database so that AI and analytics apps can be run against it to find personalized treatments. We chose to go with a #containerized approach leveraging Docker #containers with a local development environment setup with Docker Compose and nginx for container routing. For the production environment we chose to pull code from GitHub and build/push images using Jenkins and using Kubernetes to deploy to Amazon EC2.

          We also implemented a dashboard app to handle user authentication/authorization, as well as a custom SSO server that runs on Heroku which allows experts to easily visit more than one instance without having to login repeatedly. The #Backend was implemented using my favorite #Stack which consists of FeathersJS on top of Node.js and ExpressJS with PostgreSQL as the main database. The #Frontend was implemented using React, Redux.js, Semantic UI React and the FeathersJS client. Though testing was light on this project, we chose to use AVA as well as ESLint to keep the codebase clean and consistent.

          See more