Alternatives to ECharts logo

Alternatives to ECharts

Highcharts, Google Charts, D3.js, Plotly.js, and amCharts are the most popular alternatives and competitors to ECharts.
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What is ECharts and what are its top alternatives?

It is an open source visualization library implemented in JavaScript, runs smoothly on PCs and mobile devices, and is compatible with most current browsers.
ECharts is a tool in the Charting Libraries category of a tech stack.
ECharts is an open source tool with GitHub stars and GitHub forks. Here’s a link to ECharts's open source repository on GitHub

Top Alternatives to ECharts

  • Highcharts
    Highcharts

    Highcharts currently supports line, spline, area, areaspline, column, bar, pie, scatter, angular gauges, arearange, areasplinerange, columnrange, bubble, box plot, error bars, funnel, waterfall and polar chart types. ...

  • Google Charts
    Google Charts

    It is an interactive Web service that creates graphical charts from user-supplied information. The user supplies data and a formatting specification expressed in JavaScript embedded in a Web page; in response the service sends an image of the chart. ...

  • D3.js
    D3.js

    It is a JavaScript library for manipulating documents based on data. Emphasises on web standards gives you the full capabilities of modern browsers without tying yourself to a proprietary framework. ...

  • Plotly.js
    Plotly.js

    It is a standalone Javascript data visualization library, and it also powers the Python and R modules named plotly in those respective ecosystems (referred to as Plotly.py and Plotly.R). It can be used to produce dozens of chart types and visualizations, including statistical charts, 3D graphs, scientific charts, SVG and tile maps, financial charts and more. ...

  • amCharts
    amCharts

    amCharts is an advanced charting library that will suit any data visualization need. Our charting solution include Column, Bar, Line, Area, Step, Step without risers, Smoothed line, Candlestick, OHLC, Pie/Donut, Radar/ Polar, XY/Scatter/Bubble, Bullet, Funnel/Pyramid charts as well as Gauges. ...

  • 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. ...

ECharts alternatives & related posts

Highcharts logo

Highcharts

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A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web...
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PROS OF HIGHCHARTS
  • 34
    Low learning curve and powerful
  • 17
    Multiple chart types such as pie, bar, line and others
  • 13
    Responsive charts
  • 9
    Handles everything you throw at it
  • 8
    Extremely easy-to-parse documentation
  • 5
    Built-in export chart as-is to image file
  • 5
    Easy to customize color scheme and palettes
  • 1
    Export on server side, can be used in email
CONS OF HIGHCHARTS
  • 9
    Expensive

related Highcharts posts

Here is my stack on #Visualization. @FusionCharts and Highcharts are easy to use but only free for non-commercial. Chart.js and Plotly are two lovely tools for commercial use under the MIT license. And D3.js would be my last choice only if a complex customized plot is needed.

See more
Google Charts logo

Google Charts

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A Web service that creates graphical charts
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PROS OF GOOGLE CHARTS
    Be the first to leave a pro
    CONS OF GOOGLE CHARTS
      Be the first to leave a con

      related Google Charts posts

      D3.js logo

      D3.js

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      A JavaScript visualization library for HTML and SVG
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      PROS OF D3.JS
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        Beautiful visualizations
      • 103
        Svg
      • 92
        Data-driven
      • 81
        Large set of examples
      • 61
        Data-driven documents
      • 24
        Visualization components
      • 20
        Transitions
      • 18
        Dynamic properties
      • 16
        Plugins
      • 11
        Transformation
      • 7
        Makes data interactive
      • 4
        Open Source
      • 4
        Enter and Exit
      • 4
        Components
      • 3
        Exhaustive
      • 3
        Backed by the new york times
      • 2
        Easy and beautiful
      • 1
        Highly customizable
      • 1
        Awesome Community Support
      • 1
        Simple elegance
      • 1
        Templates, force template
      • 1
        Angular 4
      CONS OF D3.JS
      • 11
        Beginners cant understand at all
      • 6
        Complex syntax

      related D3.js posts

      Tim Abbott
      Shared insights
      on
      Plotly.jsPlotly.jsD3.jsD3.js
      at

      We use Plotly (just their open source stuff) for Zulip's user-facing and admin-facing statistics graphs because it's a reasonably well-designed JavaScript graphing library.

      If you've tried using D3.js, it's a pretty poor developer experience, and that translates to spending a bunch of time getting the graphs one wants even for things that are conceptually pretty basic. Plotly isn't amazing (it's decent), but it's way better than than D3 unless you have very specialized needs.

      See more
      Amit Garg
      Shared insights
      on
      D3.jsD3.jsApexChartsApexChartsReactReact

      Hi,

      I am looking at integrating a charting library in my React frontend that allows me to create appealing and interactive charts. I have basic familiarity with ApexCharts with React but have also read about D3.js charts and it seems a much more involved integration. Can someone please share their experience across the two libraries on the following dimensions:

      1. Amount of work needed for integration
      2. Amount of work or ease for creating new charts in either of the libraries.

      Regards

      Amit

      See more
      Plotly.js logo

      Plotly.js

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      A high-level, declarative charting library
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      PROS OF PLOTLY.JS
      • 16
        Bindings to popular languages like Python, Node, R, etc
      • 10
        Integrated zoom and filter-out tools in charts and maps
      • 9
        Great support for complex and multiple axes
      • 8
        Powerful out-of-the-box featureset
      • 6
        Beautiful visualizations
      • 4
        Active user base
      • 4
        Impressive support for webgl 3D charts
      • 3
        Charts are easy to share with a cloud account
      • 3
        Webgl chart types are extremely performant
      • 2
        Interactive charts
      • 2
        Easy to use online editor for creating plotly.js charts
      • 2
        Publication quality image export
      CONS OF PLOTLY.JS
      • 17
        Terrible document

      related Plotly.js posts

      Tim Abbott
      Shared insights
      on
      Plotly.jsPlotly.jsD3.jsD3.js
      at

      We use Plotly (just their open source stuff) for Zulip's user-facing and admin-facing statistics graphs because it's a reasonably well-designed JavaScript graphing library.

      If you've tried using D3.js, it's a pretty poor developer experience, and that translates to spending a bunch of time getting the graphs one wants even for things that are conceptually pretty basic. Plotly isn't amazing (it's decent), but it's way better than than D3 unless you have very specialized needs.

      See more

      Here is my stack on #Visualization. @FusionCharts and Highcharts are easy to use but only free for non-commercial. Chart.js and Plotly are two lovely tools for commercial use under the MIT license. And D3.js would be my last choice only if a complex customized plot is needed.

      See more
      amCharts logo

      amCharts

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      Advanced javascript charting library that will suit any data visualization need
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      PROS OF AMCHARTS
      • 18
        Mock-up tools
      • 3
        Each element can be Customized
      CONS OF AMCHARTS
      • 1
        Amcharts upgrade often need to rewrite all code

      related amCharts posts

      JavaScript logo

      JavaScript

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      PROS OF JAVASCRIPT
      • 1.7K
        Can be used on frontend/backend
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        Lots of great frameworks
      • 896
        Fast
      • 745
        Light weight
      • 425
        Flexible
      • 392
        You can't get a device today that doesn't run js
      • 286
        Non-blocking i/o
      • 236
        Ubiquitousness
      • 191
        Expressive
      • 55
        Extended functionality to web pages
      • 49
        Relatively easy language
      • 46
        Executed on the client side
      • 30
        Relatively fast to the end user
      • 25
        Pure Javascript
      • 21
        Functional programming
      • 15
        Async
      • 13
        Full-stack
      • 12
        Setup is easy
      • 12
        Its everywhere
      • 12
        Future Language of The Web
      • 11
        JavaScript is the New PHP
      • 11
        Because I love functions
      • 10
        Like it or not, JS is part of the web standard
      • 9
        Expansive community
      • 9
        Everyone use it
      • 9
        Can be used in backend, frontend and DB
      • 9
        Easy
      • 8
        Easy to hire developers
      • 8
        No need to use PHP
      • 8
        For the good parts
      • 8
        Can be used both as frontend and backend as well
      • 8
        Powerful
      • 8
        Most Popular Language in the World
      • 7
        Popularized Class-Less Architecture & Lambdas
      • 7
        It's fun
      • 7
        Nice
      • 7
        Versitile
      • 7
        Hard not to use
      • 7
        Its fun and fast
      • 7
        Agile, packages simple to use
      • 7
        Supports lambdas and closures
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        Love-hate relationship
      • 7
        Photoshop has 3 JS runtimes built in
      • 7
        Evolution of C
      • 6
        1.6K Can be used on frontend/backend
      • 6
        Client side JS uses the visitors CPU to save Server Res
      • 6
        It let's me use Babel & Typescript
      • 6
        Easy to make something
      • 6
        Can be used on frontend/backend/Mobile/create PRO Ui
      • 5
        Promise relationship
      • 5
        Stockholm Syndrome
      • 5
        Function expressions are useful for callbacks
      • 5
        Scope manipulation
      • 5
        Everywhere
      • 5
        Client processing
      • 5
        Clojurescript
      • 5
        What to add
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        Because it is so simple and lightweight
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        Only Programming language on browser
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        Test2
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        Easy to learn
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        Easy to understand
      • 1
        Not the best
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        Hard to learn
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        Subskill #4
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        Test
      • 0
        Hard 彤
      CONS OF JAVASCRIPT
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        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 · 10.1M views

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

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

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

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

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

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

      See more
      Git logo

      Git

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      174.2K
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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
        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
        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 · 9.2M views

      Our whole DevOps stack consists of the following tools:

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

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

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

      Often enough I have to explain my way of going about setting up a CI/CD pipeline with multiple deployment platforms. Since I am a bit tired of yapping the same every single time, I've decided to write it up and share with the world this way, and send people to read it instead ;). I will explain it on "live-example" of how the Rome got built, basing that current methodology exists only of readme.md and wishes of good luck (as it usually is ;)).

      It always starts with an app, whatever it may be and reading the readmes available while Vagrant and VirtualBox is installing and updating. Following that is the first hurdle to go over - convert all the instruction/scripts into Ansible playbook(s), and only stopping when doing a clear vagrant up or vagrant reload we will have a fully working environment. As our Vagrant environment is now functional, it's time to break it! This is the moment to look for how things can be done better (too rigid/too lose versioning? Sloppy environment setup?) and replace them with the right way to do stuff, one that won't bite us in the backside. This is the point, and the best opportunity, to upcycle the existing way of doing dev environment to produce a proper, production-grade product.

      I should probably digress here for a moment and explain why. I firmly believe that the way you deploy production is the same way you should deploy develop, shy of few debugging-friendly setting. This way you avoid the discrepancy between how production work vs how development works, which almost always causes major pains in the back of the neck, and with use of proper tools should mean no more work for the developers. That's why we start with Vagrant as developer boxes should be as easy as vagrant up, but the meat of our product lies in Ansible which will do meat of the work and can be applied to almost anything: AWS, bare metal, docker, LXC, in open net, behind vpn - you name it.

      We must also give proper consideration to monitoring and logging hoovering at this point. My generic answer here is to grab Elasticsearch, Kibana, and Logstash. While for different use cases there may be better solutions, this one is well battle-tested, performs reasonably and is very easy to scale both vertically (within some limits) and horizontally. Logstash rules are easy to write and are well supported in maintenance through Ansible, which as I've mentioned earlier, are at the very core of things, and creating triggers/reports and alerts based on Elastic and Kibana is generally a breeze, including some quite complex aggregations.

      If we are happy with the state of the Ansible it's time to move on and put all those roles and playbooks to work. Namely, we need something to manage our CI/CD pipelines. For me, the choice is obvious: TeamCity. It's modern, robust and unlike most of the light-weight alternatives, it's transparent. What I mean by that is that it doesn't tell you how to do things, doesn't limit your ways to deploy, or test, or package for that matter. Instead, it provides a developer-friendly and rich playground for your pipelines. You can do most the same with Jenkins, but it has a quite dated look and feel to it, while also missing some key functionality that must be brought in via plugins (like quality REST API which comes built-in with TeamCity). It also comes with all the common-handy plugins like Slack or Apache Maven integration.

      The exact flow between CI and CD varies too greatly from one application to another to describe, so I will outline a few rules that guide me in it: 1. Make build steps as small as possible. This way when something breaks, we know exactly where, without needing to dig and root around. 2. All security credentials besides development environment must be sources from individual Vault instances. Keys to those containers should exist only on the CI/CD box and accessible by a few people (the less the better). This is pretty self-explanatory, as anything besides dev may contain sensitive data and, at times, be public-facing. Because of that appropriate security must be present. TeamCity shines in this department with excellent secrets-management. 3. Every part of the build chain shall consume and produce artifacts. If it creates nothing, it likely shouldn't be its own build. This way if any issue shows up with any environment or version, all developer has to do it is grab appropriate artifacts to reproduce the issue locally. 4. Deployment builds should be directly tied to specific Git branches/tags. This enables much easier tracking of what caused an issue, including automated identifying and tagging the author (nothing like automated regression testing!).

      Speaking of deployments, I generally try to keep it simple but also with a close eye on the wallet. Because of that, I am more than happy with AWS or another cloud provider, but also constantly peeking at the loads and do we get the value of what we are paying for. Often enough the pattern of use is not constantly erratic, but rather has a firm baseline which could be migrated away from the cloud and into bare metal boxes. That is another part where this approach strongly triumphs over the common Docker and CircleCI setup, where you are very much tied in to use cloud providers and getting out is expensive. Here to embrace bare-metal hosting all you need is a help of some container-based self-hosting software, my personal preference is with Proxmox and LXC. Following that all you must write are ansible scripts to manage hardware of Proxmox, similar way as you do for Amazon EC2 (ansible supports both greatly) and you are good to go. One does not exclude another, quite the opposite, as they can live in great synergy and cut your costs dramatically (the heavier your base load, the bigger the savings) while providing production-grade resiliency.

      See more
      GitHub logo

      GitHub

      279.5K
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      PROS OF GITHUB
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        Open source friendly
      • 1.5K
        Easy source control
      • 1.3K
        Nice UI
      • 1.1K
        Great for team collaboration
      • 867
        Easy setup
      • 504
        Issue tracker
      • 486
        Great community
      • 482
        Remote team collaboration
      • 451
        Great way to share
      • 442
        Pull request and features planning
      • 147
        Just works
      • 132
        Integrated in many tools
      • 121
        Free Public Repos
      • 116
        Github Gists
      • 112
        Github pages
      • 83
        Easy to find repos
      • 62
        Open source
      • 60
        It's free
      • 60
        Easy to find projects
      • 56
        Network effect
      • 49
        Extensive API
      • 43
        Organizations
      • 42
        Branching
      • 34
        Developer Profiles
      • 32
        Git Powered Wikis
      • 30
        Great for collaboration
      • 24
        It's fun
      • 23
        Clean interface and good integrations
      • 22
        Community SDK involvement
      • 20
        Learn from others source code
      • 16
        Because: Git
      • 14
        It integrates directly with Azure
      • 10
        Newsfeed
      • 10
        Standard in Open Source collab
      • 8
        Fast
      • 8
        It integrates directly with Hipchat
      • 8
        Beautiful user experience
      • 7
        Easy to discover new code libraries
      • 6
        Smooth integration
      • 6
        Cloud SCM
      • 6
        Nice API
      • 6
        Graphs
      • 6
        Integrations
      • 6
        It's awesome
      • 5
        Quick Onboarding
      • 5
        Remarkable uptime
      • 5
        CI Integration
      • 5
        Hands down best online Git service available
      • 5
        Reliable
      • 4
        Free HTML hosting
      • 4
        Version Control
      • 4
        Simple but powerful
      • 4
        Unlimited Public Repos at no cost
      • 4
        Security options
      • 4
        Loved by developers
      • 4
        Uses GIT
      • 4
        Easy to use and collaborate with others
      • 3
        IAM
      • 3
        Nice to use
      • 3
        Ci
      • 3
        Easy deployment via SSH
      • 2
        Good tools support
      • 2
        Leads the copycats
      • 2
        Free private repos
      • 2
        Free HTML hostings
      • 2
        Easy and efficient maintainance of the projects
      • 2
        Beautiful
      • 2
        Never dethroned
      • 2
        IAM integration
      • 2
        Very Easy to Use
      • 2
        Easy to use
      • 2
        All in one development service
      • 2
        Self Hosted
      • 2
        Issues tracker
      • 2
        Easy source control and everything is backed up
      • 1
        Profound
      CONS OF GITHUB
      • 53
        Owned by micrcosoft
      • 37
        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
      • 2
        Does not have a graph for showing history like git lens
      • 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
      Russel Werner
      Lead Engineer at StackShare · | 32 upvotes · 2.2M views

      StackShare Feed is built entirely with React, Glamorous, and Apollo. One of our objectives with the public launch of the Feed was to enable a Server-side rendered (SSR) experience for our organic search traffic. When you visit the StackShare Feed, and you aren't logged in, you are delivered the Trending feed experience. We use an in-house Node.js rendering microservice to generate this HTML. This microservice needs to run and serve requests independent of our Rails web app. Up until recently, we had a mono-repo with our Rails and React code living happily together and all served from the same web process. In order to deploy our SSR app into a Heroku environment, we needed to split out our front-end application into a separate repo in GitHub. The driving factor in this decision was mostly due to limitations imposed by Heroku specifically with how processes can't communicate with each other. A new SSR app was created in Heroku and linked directly to the frontend repo so it stays in-sync with changes.

      Related to this, we need a way to "deploy" our frontend changes to various server environments without building & releasing the entire Ruby application. We built a hybrid Amazon S3 Amazon CloudFront solution to host our Webpack bundles. A new CircleCI script builds the bundles and uploads them to S3. The final step in our rollout is to update some keys in Redis so our Rails app knows which bundles to serve. The result of these efforts were significant. Our frontend team now moves independently of our backend team, our build & release process takes only a few minutes, we are now using an edge CDN to serve JS assets, and we have pre-rendered React pages!

      #StackDecisionsLaunch #SSR #Microservices #FrontEndRepoSplit

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