Meteor Alternatives logo

Meteor Alternatives

Explore the pros & cons of Meteor and its alternatives. Learn about popular competitors like React, Angular, and Git
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What is Meteor and what are its top alternatives?

Meteor is a full-stack JavaScript platform that simplifies the process of building web and mobile applications. It allows developers to write both the front-end and back-end code in JavaScript, making development more seamless. Meteor's key features include real-time data synchronization, hot code reloading, and easy package management. However, Meteor's limitations include a steep learning curve for beginners and a smaller community compared to other frameworks.

  1. React: React is a popular JavaScript library for building user interfaces. Key features include component-based architecture, virtual DOM for efficient rendering, and a large community for support. Pros of React include its flexibility and performance optimization, while cons include a steeper learning curve for beginners compared to Meteor.
  2. Angular: Angular is a comprehensive JavaScript framework maintained by Google for building dynamic web applications. Key features include two-way data binding, dependency injection, and TypeScript support. Pros of Angular include its robust structure and extensive documentation, while cons include a more complex setup compared to Meteor.
  3. Vue.js: Vue.js is a progressive JavaScript framework for building interactive web interfaces. Key features include a lightweight core, easy integration with existing projects, and a gentle learning curve. Pros of Vue.js include its flexibility and simplicity, while cons include a smaller community compared to Meteor.
  4. Express.js: Express.js is a minimal and flexible Node.js web application framework suitable for building APIs and server-side applications. Key features include middleware support, routing, and template engines. Pros of Express.js include its lightweight nature and easy customization, while cons include a lack of out-of-the-box features compared to Meteor.
  5. Next.js: Next.js is a React framework for building server-side rendered websites and applications. Key features include automatic code splitting, server-side rendering, and static site generation. Pros of Next.js include its performance optimization and SEO-friendly architecture, while cons include a more complex setup compared to Meteor.
  6. Svelte: Svelte is a reactive JavaScript framework that compiles components into highly efficient vanilla JavaScript. Key features include a reactive store, automatic reactivity, and a small bundle size. Pros of Svelte include its performance optimization and simplicity, while cons include a smaller ecosystem compared to Meteor.
  7. NestJS: NestJS is a progressive Node.js framework for building efficient, reliable, and scalable server-side applications. Key features include dependency injection, RESTful API support, and TypeScript integration. Pros of NestJS include its modular architecture and built-in support for testing, while cons include a more rigid structure compared to Meteor.
  8. AdonisJS: AdonisJS is a Node.js framework that follows the MVC pattern and focuses on developer ergonomics. Key features include ORM support, authentication, and middleware integration. Pros of AdonisJS include its robust features out of the box and a familiar architecture for developers, while cons include a smaller community compared to Meteor.
  9. Strapi: Strapi is a flexible API creation platform with an admin panel for managing content and data. Key features include content types builder, authentication, and plugins/extensions support. Pros of Strapi include its user-friendly interface and customizable API endpoints, while cons include potential performance limitations compared to Meteor.
  10. Socket.io: Socket.io is a real-time engine for building scalable and efficient web applications with WebSocket technology. Key features include bidirectional event-based communication, room support, and fallback options for older browsers. Pros of Socket.io include its simplicity for real-time applications and wide browser support, while cons include potential data synchronization issues compared to Meteor.

Top Alternatives to Meteor

  • React
    React

    Lots of people use React as the V in MVC. Since React makes no assumptions about the rest of your technology stack, it's easy to try it out on a small feature in an existing project. ...

  • Angular
    Angular

    It is a TypeScript-based open-source web application framework. It is a development platform for building mobile and desktop web applications. ...

  • 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. ...

  • Visual Studio Code
    Visual Studio Code

    Build and debug modern web and cloud applications. Code is free and available on your favorite platform - Linux, Mac OSX, and Windows. ...

  • 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 ...

  • npm
    npm

    npm is the command-line interface to the npm ecosystem. It is battle-tested, surprisingly flexible, and used by hundreds of thousands of JavaScript developers every day. ...

  • TypeScript
    TypeScript

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

Meteor alternatives & related posts

React logo

React

173.1K
4.1K
A JavaScript library for building user interfaces
173.1K
4.1K
PROS OF REACT
  • 832
    Components
  • 673
    Virtual dom
  • 578
    Performance
  • 508
    Simplicity
  • 442
    Composable
  • 186
    Data flow
  • 166
    Declarative
  • 128
    Isn't an mvc framework
  • 120
    Reactive updates
  • 115
    Explicit app state
  • 50
    JSX
  • 29
    Learn once, write everywhere
  • 22
    Easy to Use
  • 21
    Uni-directional data flow
  • 17
    Works great with Flux Architecture
  • 11
    Great perfomance
  • 10
    Javascript
  • 9
    Built by Facebook
  • 8
    TypeScript support
  • 6
    Server Side Rendering
  • 6
    Speed
  • 5
    Feels like the 90s
  • 5
    Excellent Documentation
  • 5
    Props
  • 5
    Functional
  • 5
    Easy as Lego
  • 5
    Closer to standard JavaScript and HTML than others
  • 5
    Cross-platform
  • 5
    Easy to start
  • 5
    Hooks
  • 5
    Awesome
  • 5
    Scalable
  • 4
    Super easy
  • 4
    Allows creating single page applications
  • 4
    Server side views
  • 4
    Sdfsdfsdf
  • 4
    Start simple
  • 4
    Strong Community
  • 4
    Fancy third party tools
  • 4
    Scales super well
  • 3
    Has arrow functions
  • 3
    Beautiful and Neat Component Management
  • 3
    Just the View of MVC
  • 3
    Simple, easy to reason about and makes you productive
  • 3
    Fast evolving
  • 3
    SSR
  • 3
    Great migration pathway for older systems
  • 3
    Rich ecosystem
  • 3
    Simple
  • 3
    Has functional components
  • 3
    Every decision architecture wise makes sense
  • 3
    Very gentle learning curve
  • 2
    Split your UI into components with one true state
  • 2
    Image upload
  • 2
    Permissively-licensed
  • 2
    Fragments
  • 2
    Sharable
  • 2
    Recharts
  • 2
    HTML-like
  • 1
    React hooks
  • 1
    Datatables
CONS OF REACT
  • 41
    Requires discipline to keep architecture organized
  • 30
    No predefined way to structure your app
  • 29
    Need to be familiar with lots of third party packages
  • 13
    JSX
  • 10
    Not enterprise friendly
  • 6
    One-way binding only
  • 3
    State consistency with backend neglected
  • 3
    Bad Documentation
  • 2
    Error boundary is needed
  • 2
    Paradigms change too fast

related React 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
Collins Ogbuzuru
Front-end dev at Evolve credit · | 38 upvotes · 263.9K views

Your tech stack is solid for building a real-time messaging project.

React and React Native are excellent choices for the frontend, especially if you want to have both web and mobile versions of your application share code.

ExpressJS is an unopinionated framework that affords you the flexibility to use it's features at your term, which is a good start. However, I would recommend you explore Sails.js as well. Sails.js is built on top of Express.js and it provides additional features out of the box, especially the Websocket integration that your project requires.

Don't forget to set up Graphql codegen, this would improve your dev experience (Add Typescript, if you can too).

I don't know much about databases but you might want to consider using NO-SQL. I used Firebase real-time db and aws dynamo db on a few of my personal projects and I love they're easy to work with and offer more flexibility for a chat application.

See more
Angular logo

Angular

1.8K
499
A platform for building mobile and desktop web applications
1.8K
499
PROS OF ANGULAR
  • 109
    It's a powerful framework
  • 53
    Straight-forward architecture
  • 48
    TypeScript
  • 45
    Great UI and Business Logic separation
  • 40
    Powerful, maintainable, fast
  • 39
    Amazing CLI
  • 33
    Great mvc
  • 29
    Powerfull Dependency Injection
  • 19
    Easy to build
  • 16
    All in one Framework
  • 15
    Opinionated, batteries-included approach
  • 11
    Schematics
  • 10
    Solid Standard Setup.
  • 8
    Structured
  • 7
    Performance
  • 5
    Complex
  • 4
    Only for single page applications
  • 3
    Builders
  • 2
    RxJS
  • 2
    Ng upgrade
  • 1
    React
CONS OF ANGULAR
  • 9
    Overcomplicated
  • 9
    Large overhead in file size and initialization time
  • 2
    Ugly code
  • 2
    CLI not open to other test and linting tools

related Angular posts

Eyas Sharaiha
Software Engineer at Google · | 28 upvotes · 1.1M views
Shared insights
on
TypeScriptTypeScriptAngularAngularRxJSRxJS
at

One TypeScript / Angular 2 code health recommendation at Google is how to simplify dealing with RxJS Observables. Two common options in Angular are subscribing to an Observable inside of a Component's TypeScript code, versus using something like the AsyncPipe (foo | async) from the template html. We typically recommend the latter for most straightforward use cases (code without side effects, etc.)

I typically review a fair amount of Angular code at work. One thing I typically encourage is using plain Observables in an Angular Component, and using AsyncPipe (foo | async) from the template html to handle subscription, rather than directly subscribing to an observable in a component TS file.

Subscribing in components

Unless you know a subscription you're starting in a component is very finite (e.g. an HTTP request with no retry logic, etc), subscriptions you make in a Component must:

  1. Be closed, stopped, or cancelled when exiting a component (e.g. when navigating away from a page),
  2. Only be opened (subscribed) when a component is actually loaded/visible (i.e. in ngOnInit rather than in a constructor).

AsyncPipe can take care of that for you

Instead of manually implementing component lifecycle hooks, remembering to subscribe and unsubscribe to an Observable, AsyncPipe can do that for you.

I'm sharing a version of this recommendation with some best practices and code samples.

#Typescript #Angular #RXJS #Async #Frontend

See more
Praveen Mooli
Engineering Manager at Taylor and Francis · | 19 upvotes · 4M views

We are in the process of building a modern content platform to deliver our content through various channels. We decided to go with Microservices architecture as we wanted scale. Microservice architecture style is an approach to developing an application as a suite of small independently deployable services built around specific business capabilities. You can gain modularity, extensive parallelism and cost-effective scaling by deploying services across many distributed servers. Microservices modularity facilitates independent updates/deployments, and helps to avoid single point of failure, which can help prevent large-scale outages. We also decided to use Event Driven Architecture pattern which is a popular distributed asynchronous architecture pattern used to produce highly scalable applications. The event-driven architecture is made up of highly decoupled, single-purpose event processing components that asynchronously receive and process events.

To build our #Backend capabilities we decided to use the following: 1. #Microservices - Java with Spring Boot , Node.js with ExpressJS and Python with Flask 2. #Eventsourcingframework - Amazon Kinesis , Amazon Kinesis Firehose , Amazon SNS , Amazon SQS, AWS Lambda 3. #Data - Amazon RDS , Amazon DynamoDB , Amazon S3 , MongoDB Atlas

To build #Webapps we decided to use Angular 2 with RxJS

#Devops - GitHub , Travis CI , Terraform , Docker , Serverless

See more
Git logo

Git

297.5K
6.6K
Fast, scalable, distributed revision control system
297.5K
6.6K
PROS OF GIT
  • 1.4K
    Distributed version control system
  • 1.1K
    Efficient branching and merging
  • 959
    Fast
  • 845
    Open source
  • 726
    Better than svn
  • 368
    Great command-line application
  • 306
    Simple
  • 291
    Free
  • 232
    Easy to use
  • 222
    Does not require server
  • 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
  • 8
    Worst documentation ever possibly made
  • 5
    Awful merge handling
  • 3
    Unexistent preventive security flows
  • 3
    Rebase hell
  • 2
    Ironically even die-hard supporters screw up badly
  • 2
    When --force is disabled, cannot rebase
  • 1
    Doesn't scale for big data

related Git posts

Simon Reymann
Senior Fullstack Developer at QUANTUSflow Software GmbH · | 30 upvotes · 11.2M 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 · 9.8M 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

285.9K
10.3K
Powerful collaboration, review, and code management for open source and private development projects
285.9K
10.3K
PROS OF GITHUB
  • 1.8K
    Open source friendly
  • 1.5K
    Easy source control
  • 1.3K
    Nice UI
  • 1.1K
    Great for team collaboration
  • 867
    Easy setup
  • 504
    Issue tracker
  • 487
    Great community
  • 483
    Remote team collaboration
  • 449
    Great way to share
  • 442
    Pull request and features planning
  • 147
    Just works
  • 132
    Integrated in many tools
  • 122
    Free Public Repos
  • 116
    Github Gists
  • 113
    Github pages
  • 83
    Easy to find repos
  • 62
    Open source
  • 60
    Easy to find projects
  • 60
    It's free
  • 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
    Standard in Open Source collab
  • 10
    Newsfeed
  • 8
    Fast
  • 8
    Beautiful user experience
  • 8
    It integrates directly with Hipchat
  • 7
    Easy to discover new code libraries
  • 6
    Smooth integration
  • 6
    Integrations
  • 6
    Graphs
  • 6
    Nice API
  • 6
    It's awesome
  • 6
    Cloud SCM
  • 5
    Quick Onboarding
  • 5
    Remarkable uptime
  • 5
    CI Integration
  • 5
    Reliable
  • 5
    Hands down best online Git service available
  • 4
    Version Control
  • 4
    Unlimited Public Repos at no cost
  • 4
    Simple but powerful
  • 4
    Loved by developers
  • 4
    Free HTML hosting
  • 4
    Uses GIT
  • 4
    Security options
  • 4
    Easy to use and collaborate with others
  • 3
    Easy deployment via SSH
  • 3
    Ci
  • 3
    IAM
  • 3
    Nice to use
  • 2
    Easy and efficient maintainance of the projects
  • 2
    Beautiful
  • 2
    Self Hosted
  • 2
    Issues tracker
  • 2
    Easy source control and everything is backed up
  • 2
    Never dethroned
  • 2
    All in one development service
  • 2
    Good tools support
  • 2
    Free HTML hostings
  • 2
    IAM integration
  • 2
    Very Easy to Use
  • 2
    Easy to use
  • 2
    Leads the copycats
  • 2
    Free private repos
  • 1
    Profound
  • 1
    Dasf
CONS OF GITHUB
  • 55
    Owned by micrcosoft
  • 38
    Expensive for lone developers that want private repos
  • 15
    Relatively slow product/feature release cadence
  • 10
    API scoping could be better
  • 9
    Only 3 collaborators for private repos
  • 4
    Limited featureset for issue management
  • 3
    Does not have a graph for showing history like git lens
  • 2
    GitHub Packages does not support SNAPSHOT versions
  • 1
    No multilingual interface
  • 1
    Takes a long time to commit
  • 1
    Expensive

related GitHub posts

Johnny Bell

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

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

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

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

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

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

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

See more

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

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

Check Out My Architecture: CLICK ME

Check out the GitHub repo attached

See more
Visual Studio Code logo

Visual Studio Code

179.4K
2.3K
Build and debug modern web and cloud applications, by Microsoft
179.4K
2.3K
PROS OF VISUAL STUDIO CODE
  • 340
    Powerful multilanguage IDE
  • 308
    Fast
  • 193
    Front-end develop out of the box
  • 158
    Support TypeScript IntelliSense
  • 142
    Very basic but free
  • 126
    Git integration
  • 106
    Intellisense
  • 78
    Faster than Atom
  • 53
    Better ui, easy plugins, and nice git integration
  • 45
    Great Refactoring Tools
  • 44
    Good Plugins
  • 42
    Terminal
  • 38
    Superb markdown support
  • 36
    Open Source
  • 35
    Extensions
  • 26
    Awesome UI
  • 26
    Large & up-to-date extension community
  • 24
    Powerful and fast
  • 22
    Portable
  • 18
    Best code editor
  • 18
    Best editor
  • 17
    Easy to get started with
  • 15
    Lots of extensions
  • 15
    Good for begginers
  • 15
    Crossplatform
  • 15
    Built on Electron
  • 14
    Extensions for everything
  • 14
    Open, cross-platform, fast, monthly updates
  • 14
    All Languages Support
  • 13
    Easy to use and learn
  • 12
    "fast, stable & easy to use"
  • 12
    Extensible
  • 11
    Ui design is great
  • 11
    Totally customizable
  • 11
    Git out of the box
  • 11
    Useful for begginer
  • 11
    Faster edit for slow computer
  • 10
    SSH support
  • 10
    Great community
  • 10
    Fast Startup
  • 9
    Works With Almost EveryThing You Need
  • 9
    Great language support
  • 9
    Powerful Debugger
  • 9
    It has terminal and there are lots of shortcuts in it
  • 8
    Can compile and run .py files
  • 8
    Python extension is fast
  • 7
    Features rich
  • 7
    Great document formater
  • 6
    He is not Michael
  • 6
    Extension Echosystem
  • 6
    She is not Rachel
  • 6
    Awesome multi cursor support
  • 5
    VSCode.pro Course makes it easy to learn
  • 5
    Language server client
  • 5
    SFTP Workspace
  • 5
    Very proffesional
  • 5
    Easy azure
  • 4
    Has better support and more extentions for debugging
  • 4
    Supports lots of operating systems
  • 4
    Excellent as git difftool and mergetool
  • 4
    Virtualenv integration
  • 3
    Better autocompletes than Atom
  • 3
    Has more than enough languages for any developer
  • 3
    'batteries included'
  • 3
    More tools to integrate with vs
  • 3
    Emmet preinstalled
  • 2
    VS Code Server: Browser version of VS Code
  • 2
    CMake support with autocomplete
  • 2
    Microsoft
  • 2
    Customizable
  • 2
    Light
  • 2
    Big extension marketplace
  • 2
    Fast and ruby is built right in
  • 1
    File:///C:/Users/ydemi/Downloads/yuksel_demirkaya_webpa
CONS OF VISUAL STUDIO CODE
  • 46
    Slow startup
  • 29
    Resource hog at times
  • 20
    Poor refactoring
  • 13
    Poor UI Designer
  • 11
    Weak Ui design tools
  • 10
    Poor autocomplete
  • 8
    Super Slow
  • 8
    Huge cpu usage with few installed extension
  • 8
    Microsoft sends telemetry data
  • 7
    Poor in PHP
  • 6
    It's MicroSoft
  • 3
    Poor in Python
  • 3
    No Built in Browser Preview
  • 3
    No color Intergrator
  • 3
    Very basic for java development and buggy at times
  • 3
    No built in live Preview
  • 3
    Electron
  • 2
    Bad Plugin Architecture
  • 2
    Powered by Electron
  • 1
    Terminal does not identify path vars sometimes
  • 1
    Slow C++ Language Server

related Visual Studio Code posts

Yshay Yaacobi

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

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

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

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Simon Reymann
Senior Fullstack Developer at QUANTUSflow Software GmbH · | 30 upvotes · 11.2M 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
Docker logo

Docker

174.5K
3.9K
Enterprise Container Platform for High-Velocity Innovation.
174.5K
3.9K
PROS OF DOCKER
  • 823
    Rapid integration and build up
  • 692
    Isolation
  • 521
    Open source
  • 505
    Testa­bil­i­ty and re­pro­ducibil­i­ty
  • 460
    Lightweight
  • 218
    Standardization
  • 185
    Scalable
  • 106
    Upgrading / down­grad­ing / ap­pli­ca­tion versions
  • 88
    Security
  • 85
    Private paas environments
  • 34
    Portability
  • 26
    Limit resource usage
  • 17
    Game changer
  • 16
    I love the way docker has changed virtualization
  • 14
    Fast
  • 12
    Concurrency
  • 8
    Docker's Compose tools
  • 6
    Fast and Portable
  • 6
    Easy setup
  • 5
    Because its fun
  • 4
    Makes shipping to production very simple
  • 3
    It's dope
  • 3
    Highly useful
  • 2
    Does a nice job hogging memory
  • 2
    Open source and highly configurable
  • 2
    Simplicity, isolation, resource effective
  • 2
    MacOS support FAKE
  • 2
    Its cool
  • 2
    Docker hub for the FTW
  • 2
    HIgh Throughput
  • 2
    Very easy to setup integrate and build
  • 2
    Package the environment with the application
  • 2
    Super
  • 0
    Asdfd
CONS OF DOCKER
  • 8
    New versions == broken features
  • 6
    Unreliable networking
  • 6
    Documentation not always in sync
  • 4
    Moves quickly
  • 3
    Not Secure

related Docker posts

Simon Reymann
Senior Fullstack Developer at QUANTUSflow Software GmbH · | 30 upvotes · 11.2M 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 · 9.8M 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.

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npm logo

npm

124.6K
1.6K
The package manager for JavaScript.
124.6K
1.6K
PROS OF NPM
  • 647
    Best package management system for javascript
  • 382
    Open-source
  • 327
    Great community
  • 148
    More packages than rubygems, pypi, or packagist
  • 112
    Nice people matter
  • 6
    As fast as yarn but really free of facebook
  • 6
    Audit feature
  • 4
    Good following
  • 1
    Super fast
  • 1
    Stability
CONS OF NPM
  • 5
    Problems with lockfiles
  • 5
    Bad at package versioning and being deterministic
  • 3
    Node-gyp takes forever
  • 1
    Super slow

related npm posts

Simon Reymann
Senior Fullstack Developer at QUANTUSflow Software GmbH · | 27 upvotes · 5.1M views

Our whole Node.js backend stack consists of the following tools:

  • Lerna as a tool for multi package and multi repository management
  • npm as package manager
  • NestJS as Node.js framework
  • TypeScript as programming language
  • ExpressJS as web server
  • Swagger UI for visualizing and interacting with the API’s resources
  • Postman as a tool for API development
  • TypeORM as object relational mapping layer
  • JSON Web Token for access token management

The main reason we have chosen Node.js over PHP is related to the following artifacts:

  • Made for the web and widely in use: Node.js is a software platform for developing server-side network services. Well-known projects that rely on Node.js include the blogging software Ghost, the project management tool Trello and the operating system WebOS. Node.js requires the JavaScript runtime environment V8, which was specially developed by Google for the popular Chrome browser. This guarantees a very resource-saving architecture, which qualifies Node.js especially for the operation of a web server. Ryan Dahl, the developer of Node.js, released the first stable version on May 27, 2009. He developed Node.js out of dissatisfaction with the possibilities that JavaScript offered at the time. The basic functionality of Node.js has been mapped with JavaScript since the first version, which can be expanded with a large number of different modules. The current package managers (npm or Yarn) for Node.js know more than 1,000,000 of these modules.
  • Fast server-side solutions: Node.js adopts the JavaScript "event-loop" to create non-blocking I/O applications that conveniently serve simultaneous events. With the standard available asynchronous processing within JavaScript/TypeScript, highly scalable, server-side solutions can be realized. The efficient use of the CPU and the RAM is maximized and more simultaneous requests can be processed than with conventional multi-thread servers.
  • A language along the entire stack: Widely used frameworks such as React or AngularJS or Vue.js, which we prefer, are written in JavaScript/TypeScript. If Node.js is now used on the server side, you can use all the advantages of a uniform script language throughout the entire application development. The same language in the back- and frontend simplifies the maintenance of the application and also the coordination within the development team.
  • Flexibility: Node.js sets very few strict dependencies, rules and guidelines and thus grants a high degree of flexibility in application development. There are no strict conventions so that the appropriate architecture, design structures, modules and features can be freely selected for the development.
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Johnny Bell

So when starting a new project you generally have your go to tools to get your site up and running locally, and some scripts to build out a production version of your site. Create React App is great for that, however for my projects I feel as though there is to much bloat in Create React App and if I use it, then I'm tied to React, which I love but if I want to switch it up to Vue or something I want that flexibility.

So to start everything up and running I clone my personal Webpack boilerplate - This is still in Webpack 3, and does need some updating but gets the job done for now. So given the name of the repo you may have guessed that yes I am using Webpack as my bundler I use Webpack because it is so powerful, and even though it has a steep learning curve once you get it, its amazing.

The next thing I do is make sure my machine has Node.js configured and the right version installed then run Yarn. I decided to use Yarn because when I was building out this project npm had some shortcomings such as no .lock file. I could probably move from Yarn to npm but I don't really see any point really.

I use Babel to transpile all of my #ES6 to #ES5 so the browser can read it, I love Babel and to be honest haven't looked up any other transpilers because Babel is amazing.

Finally when developing I have Prettier setup to make sure all my code is clean and uniform across all my JS files, and ESLint to make sure I catch any errors or code that could be optimized.

I'm really happy with this stack for my local env setup, and I'll probably stick with it for a while.

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TypeScript logo

TypeScript

94.1K
502
A superset of JavaScript that compiles to clean JavaScript output
94.1K
502
PROS OF TYPESCRIPT
  • 174
    More intuitive and type safe javascript
  • 106
    Type safe
  • 80
    JavaScript superset
  • 48
    The best AltJS ever
  • 27
    Best AltJS for BackEnd
  • 15
    Powerful type system, including generics & JS features
  • 11
    Compile time errors
  • 11
    Nice and seamless hybrid of static and dynamic typing
  • 10
    Aligned with ES development for compatibility
  • 7
    Angular
  • 7
    Structural, rather than nominal, subtyping
  • 5
    Starts and ends with JavaScript
  • 1
    Garbage collection
CONS OF TYPESCRIPT
  • 5
    Code may look heavy and confusing
  • 4
    Hype

related TypeScript posts

Yshay Yaacobi

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

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

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

See more
Adebayo Akinlaja
Engineering Manager at Andela · | 30 upvotes · 3.4M views

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

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

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

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

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