Alternatives to Minio logo

Alternatives to Minio

ceph, FreeNAS, Swift, Rook, and JavaScript are the most popular alternatives and competitors to Minio.
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What is Minio and what are its top alternatives?

Minio is an object storage server compatible with Amazon S3 and licensed under Apache 2.0 License
Minio is a tool in the Cloud Storage category of a tech stack.
Minio is an open source tool with 45K GitHub stars and 5.3K GitHub forks. Here’s a link to Minio's open source repository on GitHub

Top Alternatives to Minio

  • ceph
    ceph

    In computing,It is a free-software storage platform, implements object storage on a single distributed computer cluster, and provides interfaces for object-, block- and file-level storage. ...

  • FreeNAS
    FreeNAS

    It is the simplest way to create a centralized and easily accessible place for your data. Use it with ZFS to protect, store, backup, all of your data. It is used everywhere, for the home, small business, and the enterprise. ...

  • Swift
    Swift

    Writing code is interactive and fun, the syntax is concise yet expressive, and apps run lightning-fast. Swift is ready for your next iOS and OS X project — or for addition into your current app — because Swift code works side-by-side with Objective-C. ...

  • Rook
    Rook

    It is an open source cloud-native storage orchestrator for Kubernetes, providing the platform, framework, and support for a diverse set of storage solutions to natively integrate with cloud-native environments. ...

  • 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. ...

  • Python
    Python

    Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best. ...

Minio alternatives & related posts

ceph logo

ceph

227
301
10
A free-software storage platform
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301
+ 1
10
PROS OF CEPH
  • 4
    Open source
  • 2
    Block Storage
  • 1
    Obejct Storage
  • 1
    Storage Cluster
  • 1
    S3 Compatible
  • 1
    Object Storage
CONS OF CEPH
    Be the first to leave a con

    related ceph posts

    FreeNAS logo

    FreeNAS

    36
    44
    4
    An operating system that can be installed on virtually any hardware platform
    36
    44
    + 1
    4
    PROS OF FREENAS
    • 2
      Very Stable
    • 2
      Easy to install
    CONS OF FREENAS
      Be the first to leave a con

      related FreeNAS posts

      Swift logo

      Swift

      20K
      13.2K
      1.3K
      An innovative new programming language for Cocoa and Cocoa Touch.
      20K
      13.2K
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      PROS OF SWIFT
      • 259
        Ios
      • 180
        Elegant
      • 126
        Not Objective-C
      • 107
        Backed by apple
      • 93
        Type inference
      • 61
        Generics
      • 54
        Playgrounds
      • 49
        Semicolon free
      • 38
        OSX
      • 36
        Tuples offer compound variables
      • 24
        Clean Syntax
      • 24
        Easy to learn
      • 22
        Open Source
      • 21
        Beautiful Code
      • 20
        Functional
      • 12
        Dynamic
      • 12
        Linux
      • 11
        Protocol-oriented programming
      • 10
        Promotes safe, readable code
      • 9
        No S-l-o-w JVM
      • 8
        Explicit optionals
      • 7
        Storyboard designer
      • 6
        Optionals
      • 6
        Type safety
      • 5
        Super addicting language, great people, open, elegant
      • 5
        Best UI concept
      • 4
        Its friendly
      • 4
        Highly Readable codes
      • 4
        Fail-safe
      • 4
        Powerful
      • 4
        Faster and looks better
      • 4
        Swift is faster than Objective-C
      • 4
        Feels like a better C++
      • 3
        Easy to learn and work
      • 3
        Much more fun
      • 3
        Protocol extensions
      • 3
        Native
      • 3
        Its fun and damn fast
      • 3
        Strong Type safety
      • 3
        Easy to Maintain
      • 2
        Protocol as type
      • 2
        All Cons C# and Java Swift Already has
      • 2
        Esay
      • 2
        MacOS
      • 2
        Type Safe
      • 2
        Protocol oriented programming
      • 1
        Can interface with C easily
      • 1
        Actually don't have to own a mac
      • 1
        Free from Memory Leak
      • 1
        Swift is easier to understand for non-iOS developers.
      • 1
        Numbers with underbar
      • 1
        Optional chain
      • 1
        Great for Multi-Threaded Programming
      • 1
        Runs Python 8 times faster
      • 1
        Objec
      CONS OF SWIFT
      • 5
        Must own a mac
      • 2
        Memory leaks are not uncommon
      • 1
        Very irritatingly picky about things that’s
      • 1
        Complicated process for exporting modules
      • 1
        Its classes compile to roughly 300 lines of assembly
      • 1
        Is a lot more effort than lua to make simple functions
      • 0
        Overly complex options makes it easy to create bad code

      related Swift posts

      Shivam Bhargava
      AVP - Business at VAYUZ Technologies Pvt. Ltd. · | 22 upvotes · 791.5K views

      Hi Community! Trust everyone is keeping safe. I am exploring the idea of building a #Neobank (App) with end-to-end banking capabilities. In the process of exploring this space, I have come across multiple Apps (N26, Revolut, Monese, etc) and explored their stacks in detail. The confusion remains to be the Backend Tech to be used?

      What would you go with considering all of the languages such as Node.js Java Rails Python are suggested by some person or the other. As a general trend, I have noticed the usage of Node with React on the front or Node with a combination of Kotlin and Swift. Please suggest what would be the right approach!

      See more
      Conor Myhrvold
      Tech Brand Mgr, Office of CTO at Uber · | 13 upvotes · 1.6M views

      Excerpts from how we developed (and subsequently open sourced) Uber's cross-platform mobile architecture framework, RIBs , going from Objective-C to Swift in the process for iOS: https://github.com/uber/RIBs

      Uber’s new application architecture (RIBs) extensively uses protocols to keep its various components decoupled and testable. We used this architecture for the first time in our new rider application and moved our primary language from Objective-C to Swift. Since Swift is a very static language, unit testing became problematic. Dynamic languages have good frameworks to build test mocks, stubs, or stand-ins by dynamically creating or modifying existing concrete classes.

      Needless to say, we were not very excited about the additional complexity of manually writing and maintaining mock implementations for each of our thousands of protocols.

      The information required to generate mock classes already exists in the Swift protocol. For Uber’s use case, we set out to create tooling that would let engineers automatically generate test mocks for any protocol they wanted by simply annotating them.

      The iOS codebase for our rider application alone incorporates around 1,500 of these generated mocks. Without our code generation tool, all of these would have to be written and maintained by hand, which would have made testing much more time-intensive. Auto-generated mocks have contributed a lot to the unit test coverage that we have today.

      We built these code generation tools ourselves for a number of reasons, including that there weren’t many open source tools available at the time we started our effort. Today, there are some great open source tools to generate resource accessors, like SwiftGen. And Sourcery can help you with generic code generation needs:

      https://eng.uber.com/code-generation/ https://eng.uber.com/driver-app-ribs-architecture/

      (GitHub : https://github.com/uber/RIBs )

      See more
      Rook logo

      Rook

      52
      103
      4
      Open source file, block and object storage for Kubernetes
      52
      103
      + 1
      4
      PROS OF ROOK
      • 3
        Minio Integration
      • 1
        Open Source
      CONS OF ROOK
      • 2
        Ceph is difficult
      • 1
        Slow

      related Rook posts

      JavaScript logo

      JavaScript

      352.2K
      268.1K
      8.1K
      Lightweight, interpreted, object-oriented language with first-class functions
      352.2K
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      8.1K
      PROS OF JAVASCRIPT
      • 1.7K
        Can be used on frontend/backend
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        It's everywhere
      • 1.2K
        Lots of great frameworks
      • 897
        Fast
      • 745
        Light weight
      • 425
        Flexible
      • 392
        You can't get a device today that doesn't run js
      • 286
        Non-blocking i/o
      • 237
        Ubiquitousness
      • 191
        Expressive
      • 55
        Extended functionality to web pages
      • 49
        Relatively easy language
      • 46
        Executed on the client side
      • 30
        Relatively fast to the end user
      • 25
        Pure Javascript
      • 21
        Functional programming
      • 15
        Async
      • 13
        Full-stack
      • 12
        Setup is easy
      • 12
        Future Language of The Web
      • 12
        Its everywhere
      • 11
        Because I love functions
      • 11
        JavaScript is the New PHP
      • 10
        Like it or not, JS is part of the web standard
      • 9
        Expansive community
      • 9
        Everyone use it
      • 9
        Can be used in backend, frontend and DB
      • 9
        Easy
      • 8
        Most Popular Language in the World
      • 8
        Powerful
      • 8
        Can be used both as frontend and backend as well
      • 8
        For the good parts
      • 8
        No need to use PHP
      • 8
        Easy to hire developers
      • 7
        Agile, packages simple to use
      • 7
        Love-hate relationship
      • 7
        Photoshop has 3 JS runtimes built in
      • 7
        Evolution of C
      • 7
        It's fun
      • 7
        Hard not to use
      • 7
        Versitile
      • 7
        Its fun and fast
      • 7
        Nice
      • 7
        Popularized Class-Less Architecture & Lambdas
      • 7
        Supports lambdas and closures
      • 6
        It let's me use Babel & Typescript
      • 6
        Can be used on frontend/backend/Mobile/create PRO Ui
      • 6
        1.6K Can be used on frontend/backend
      • 6
        Client side JS uses the visitors CPU to save Server Res
      • 6
        Easy to make something
      • 5
        Clojurescript
      • 5
        Promise relationship
      • 5
        Stockholm Syndrome
      • 5
        Function expressions are useful for callbacks
      • 5
        Scope manipulation
      • 5
        Everywhere
      • 5
        Client processing
      • 5
        What to add
      • 4
        Because it is so simple and lightweight
      • 4
        Only Programming language on browser
      • 1
        Test
      • 1
        Hard to learn
      • 1
        Test2
      • 1
        Not the best
      • 1
        Easy to understand
      • 1
        Subskill #4
      • 1
        Easy to learn
      • 0
        Hard 彤
      CONS OF JAVASCRIPT
      • 22
        A constant moving target, too much churn
      • 20
        Horribly inconsistent
      • 15
        Javascript is the New PHP
      • 9
        No ability to monitor memory utilitization
      • 8
        Shows Zero output in case of ANY error
      • 7
        Thinks strange results are better than errors
      • 6
        Can be ugly
      • 3
        No GitHub
      • 2
        Slow

      related JavaScript posts

      Zach Holman

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

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

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

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

      See more
      Conor Myhrvold
      Tech Brand Mgr, Office of CTO at Uber · | 44 upvotes · 10.8M 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

      291.1K
      174.7K
      6.6K
      Fast, scalable, distributed revision control system
      291.1K
      174.7K
      + 1
      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
      • 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 · 9.7M views

      Our whole DevOps stack consists of the following tools:

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

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

      • Key features: Easy and flexible installation, Clear dashboard, Great scaling operations, Monitoring is an integral part, Great load balancing concepts, Monitors the condition and ensures compensation in the event of failure.
      • Applications: An application can be deployed using a combination of pods, deployments, and services (or micro-services).
      • Functionality: Kubernetes as a complex installation and setup process, but it not as limited as Docker Swarm.
      • Monitoring: It supports multiple versions of logging and monitoring when the services are deployed within the cluster (Elasticsearch/Kibana (ELK), Heapster/Grafana, Sysdig cloud integration).
      • Scalability: All-in-one framework for distributed systems.
      • Other Benefits: Kubernetes is backed by the Cloud Native Computing Foundation (CNCF), huge community among container orchestration tools, it is an open source and modular tool that works with any OS.
      See more
      Tymoteusz Paul
      Devops guy at X20X Development LTD · | 23 upvotes · 8.7M views

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

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

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

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

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

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

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

      See more
      GitHub logo

      GitHub

      280.4K
      244.6K
      10.3K
      Powerful collaboration, review, and code management for open source and private development projects
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      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
      • 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
        Standard in Open Source collab
      • 10
        Newsfeed
      • 8
        It integrates directly with Hipchat
      • 8
        Fast
      • 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
        Reliable
      • 5
        Remarkable uptime
      • 5
        CI Integration
      • 5
        Hands down best online Git service available
      • 4
        Uses GIT
      • 4
        Version Control
      • 4
        Simple but powerful
      • 4
        Unlimited Public Repos at no cost
      • 4
        Free HTML hosting
      • 4
        Security options
      • 4
        Loved by developers
      • 4
        Easy to use and collaborate with others
      • 3
        Ci
      • 3
        IAM
      • 3
        Nice to use
      • 3
        Easy deployment via SSH
      • 2
        Easy to use
      • 2
        Leads the copycats
      • 2
        All in one development service
      • 2
        Free private repos
      • 2
        Free HTML hostings
      • 2
        Easy and efficient maintainance of the projects
      • 2
        Beautiful
      • 2
        Easy source control and everything is backed up
      • 2
        IAM integration
      • 2
        Very Easy to Use
      • 2
        Good tools support
      • 2
        Issues tracker
      • 2
        Never dethroned
      • 2
        Self Hosted
      • 1
        Dasf
      • 1
        Profound
      CONS OF GITHUB
      • 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 · 2.5M 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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      Python logo

      Python

      240.4K
      196.1K
      6.9K
      A clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.
      240.4K
      196.1K
      + 1
      6.9K
      PROS OF PYTHON
      • 1.2K
        Great libraries
      • 961
        Readable code
      • 846
        Beautiful code
      • 787
        Rapid development
      • 689
        Large community
      • 435
        Open source
      • 393
        Elegant
      • 282
        Great community
      • 272
        Object oriented
      • 220
        Dynamic typing
      • 77
        Great standard library
      • 59
        Very fast
      • 55
        Functional programming
      • 49
        Easy to learn
      • 45
        Scientific computing
      • 35
        Great documentation
      • 29
        Productivity
      • 28
        Easy to read
      • 28
        Matlab alternative
      • 23
        Simple is better than complex
      • 20
        It's the way I think
      • 19
        Imperative
      • 18
        Free
      • 18
        Very programmer and non-programmer friendly
      • 17
        Powerfull language
      • 17
        Machine learning support
      • 16
        Fast and simple
      • 14
        Scripting
      • 12
        Explicit is better than implicit
      • 11
        Ease of development
      • 10
        Clear and easy and powerfull
      • 9
        Unlimited power
      • 8
        It's lean and fun to code
      • 8
        Import antigravity
      • 7
        Print "life is short, use python"
      • 7
        Python has great libraries for data processing
      • 6
        Although practicality beats purity
      • 6
        Flat is better than nested
      • 6
        Great for tooling
      • 6
        Rapid Prototyping
      • 6
        Readability counts
      • 6
        High Documented language
      • 6
        I love snakes
      • 6
        Fast coding and good for competitions
      • 6
        There should be one-- and preferably only one --obvious
      • 6
        Now is better than never
      • 5
        Great for analytics
      • 5
        Lists, tuples, dictionaries
      • 4
        Easy to learn and use
      • 4
        Simple and easy to learn
      • 4
        Easy to setup and run smooth
      • 4
        Web scraping
      • 4
        CG industry needs
      • 4
        Socially engaged community
      • 4
        Complex is better than complicated
      • 4
        Multiple Inheritence
      • 4
        Beautiful is better than ugly
      • 4
        Plotting
      • 3
        If the implementation is hard to explain, it's a bad id
      • 3
        Special cases aren't special enough to break the rules
      • 3
        Pip install everything
      • 3
        List comprehensions
      • 3
        No cruft
      • 3
        Generators
      • 3
        Import this
      • 3
        It is Very easy , simple and will you be love programmi
      • 3
        Many types of collections
      • 3
        If the implementation is easy to explain, it may be a g
      • 2
        Batteries included
      • 2
        Should START with this but not STICK with This
      • 2
        Powerful language for AI
      • 2
        Can understand easily who are new to programming
      • 2
        Flexible and easy
      • 2
        Good for hacking
      • 2
        A-to-Z
      • 2
        Because of Netflix
      • 2
        Only one way to do it
      • 2
        Better outcome
      • 1
        Sexy af
      • 1
        Slow
      • 1
        Securit
      • 0
        Ni
      • 0
        Powerful
      CONS OF PYTHON
      • 53
        Still divided between python 2 and python 3
      • 28
        Performance impact
      • 26
        Poor syntax for anonymous functions
      • 22
        GIL
      • 19
        Package management is a mess
      • 14
        Too imperative-oriented
      • 12
        Hard to understand
      • 12
        Dynamic typing
      • 12
        Very slow
      • 8
        Indentations matter a lot
      • 8
        Not everything is expression
      • 7
        Incredibly slow
      • 7
        Explicit self parameter in methods
      • 6
        Requires C functions for dynamic modules
      • 6
        Poor DSL capabilities
      • 6
        No anonymous functions
      • 5
        Fake object-oriented programming
      • 5
        Threading
      • 5
        The "lisp style" whitespaces
      • 5
        Official documentation is unclear.
      • 5
        Hard to obfuscate
      • 5
        Circular import
      • 4
        Lack of Syntax Sugar leads to "the pyramid of doom"
      • 4
        The benevolent-dictator-for-life quit
      • 4
        Not suitable for autocomplete
      • 2
        Meta classes
      • 1
        Training wheels (forced indentation)

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      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/

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      Nick Parsons
      Building cool things on the internet 🛠️ at Stream · | 35 upvotes · 3.9M views

      Winds 2.0 is an open source Podcast/RSS reader developed by Stream with a core goal to enable a wide range of developers to contribute.

      We chose JavaScript because nearly every developer knows or can, at the very least, read JavaScript. With ES6 and Node.js v10.x.x, it’s become a very capable language. Async/Await is powerful and easy to use (Async/Await vs Promises). Babel allows us to experiment with next-generation JavaScript (features that are not in the official JavaScript spec yet). Yarn allows us to consistently install packages quickly (and is filled with tons of new tricks)

      We’re using JavaScript for everything – both front and backend. Most of our team is experienced with Go and Python, so Node was not an obvious choice for this app.

      Sure... there will be haters who refuse to acknowledge that there is anything remotely positive about JavaScript (there are even rants on Hacker News about Node.js); however, without writing completely in JavaScript, we would not have seen the results we did.

      #FrameworksFullStack #Languages

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