Alternatives to Uploadcare logo

Alternatives to Uploadcare

Filestack, Cloudinary, imgix, Transloadit, and JavaScript are the most popular alternatives and competitors to Uploadcare.
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What is Uploadcare and what are its top alternatives?

Uploadcare is a versatile file handling and CDN service that allows users to upload, transform, optimize, and deliver media files to their websites or applications. Its key features include automatic image resizing, lazy loading, file storage, and smart delivery. However, one limitation is that it may be costly for high levels of usage.

  1. Cloudinary: Cloudinary is a comprehensive media management platform that offers features such as image and video manipulation, storage, and delivery. It is known for its powerful APIs and integrations with various platforms. Pros: Wide range of features, extensive documentation. Cons: May be complex for beginners.
  2. Imgix: Imgix is an image processing service that provides real-time image optimization and delivery. It offers features like on-the-fly resizing, cropping, and compression. Pros: Fast image delivery, easy setup. Cons: Limited free plan.
  3. Sirv: Sirv is a dynamic imaging service that allows users to optimize, resize, and deliver images in real-time. It offers features like lazy loading, instant zoom, and image SEO. Pros: High-speed image processing, easy integration. Cons: Limited storage capacity.
  4. Filestack: Filestack is a file handling service that enables users to upload, transform, and deliver files easily. It offers features like file conversion, metadata extraction, and secure storage. Pros: Simple to use, extensive file format support. Cons: Limited free plan.
  5. ImageKit: ImageKit is an image optimization and delivery service that provides features like automatic format conversion, lazy loading, and intelligent cropping. Pros: Fast global CDN, developer-friendly APIs. Cons: Some features may require additional configuration.
  6. Flamelink: Flamelink is a headless CMS with media management capabilities that support image and video uploads, optimization, and delivery. It is designed for seamless integration with Firebase projects. Pros: Firebase integration, user-friendly interface. Cons: Limited support for non-Firebase projects.
  7. Fastly Image Optimizer: Fastly Image Optimizer is a real-time image transformation service that offers features like responsive design support, lazy loading, and automatic format conversion. Pros: Fast image optimization, flexible configurations. Cons: May require some learning curve.
  8. Kraken.io: Kraken.io is an image optimization API that helps users to compress and resize images without losing quality. It offers features like API integration, bulk processing, and cloud storage support. Pros: High compression rates, easy to use. Cons: Limited free plan.
  9. Plyr: Plyr is a media player library that supports video and audio files with customizable controls and HTML5 compatibility. It offers features like full-screen mode, captions support, and responsive design. Pros: Lightweight, customizable player. Cons: Limited video streaming options.
  10. Cognitio Image CDN: Cognitio Image CDN is an image delivery service that uses AI-powered optimization techniques to enhance image quality and load times. It offers features like automatic format conversion, adaptive quality control, and real-time image enhancement. Pros: AI-driven optimization, seamless integration. Cons: May not support all image formats.

Top Alternatives to Uploadcare

  • Filestack
    Filestack

    Filepicker helps developers connect to their users' content. Connect, Store, and Process any file from anywhere on the Internet. ...

  • Cloudinary
    Cloudinary

    Cloudinary is a cloud-based service that streamlines websites and mobile applications' entire image and video management needs - uploads, storage, administration, manipulations, and delivery. ...

  • imgix
    imgix

    imgix is the leading platform for end-to-end visual media processing. With robust APIs, SDKs, and integrations, imgix empowers developers to optimize, transform, manage, and deliver images and videos at scale through simple URL parameters. ...

  • Transloadit
    Transloadit

    Transloadit handles file uploading & file processing for your websites and mobile apps. We can process video, audio, images and documents. ...

  • 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. ...

Uploadcare alternatives & related posts

Filestack logo

Filestack

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114
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Easy, Powerful File Uploads
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+ 1
3
PROS OF FILESTACK
  • 3
    All the sources I need
CONS OF FILESTACK
  • 1
    Slow support

related Filestack posts

Cloudinary logo

Cloudinary

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An end-to-end image & video management solution for your web and mobile applications
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PROS OF CLOUDINARY
  • 37
    Easy setup
  • 31
    Fast image delivery
  • 26
    Vast array of image manipulation capabilities
  • 21
    Free tier
  • 11
    Heroku add-on
  • 9
    Reduce development costs
  • 7
    Amazing support
  • 6
    Heroku plugin
  • 6
    Great libraries for all languages
  • 6
    Virtually limitless scale
  • 5
    Easy to integrate with Rails
  • 4
    Cheap
  • 3
    Shot setup time
  • 3
    Very easy setup
  • 2
    Solves alot of image problems.
  • 1
    Best in the market and includes free plan
  • 1
    Extremely generous free pricing tier
  • 0
    Fast image delivery, vast array
CONS OF CLOUDINARY
  • 5
    Paid plan is expensive

related Cloudinary posts

Repost

Overview: To put it simply, we plan to use the MERN stack to build our web application. MongoDB will be used as our primary database. We will use ExpressJS alongside Node.js to set up our API endpoints. Additionally, we plan to use React to build our SPA on the client side and use Redis on the server side as our primary caching solution. Initially, while working on the project, we plan to deploy our server and client both on Heroku . However, Heroku is very limited and we will need the benefits of an Infrastructure as a Service so we will use Amazon EC2 to later deploy our final version of the application.

Serverside: nodemon will allow us to automatically restart a running instance of our node app when files changes take place. We decided to use MongoDB because it is a non relational database which uses the Document Object Model. This allows a lot of flexibility as compared to a RDMS like SQL which requires a very structural model of data that does not change too much. Another strength of MongoDB is its ease in scalability. We will use Mongoose along side MongoDB to model our application data. Additionally, we will host our MongoDB cluster remotely on MongoDB Atlas. Bcrypt will be used to encrypt user passwords that will be stored in the DB. This is to avoid the risks of storing plain text passwords. Moreover, we will use Cloudinary to store images uploaded by the user. We will also use the Twilio SendGrid API to enable automated emails sent by our application. To protect private API endpoints, we will use JSON Web Token and Passport. Also, PayPal will be used as a payment gateway to accept payments from users.

Client Side: As mentioned earlier, we will use React to build our SPA. React uses a virtual DOM which is very efficient in rendering a page. Also React will allow us to reuse components. Furthermore, it is very popular and there is a large community that uses React so it can be helpful if we run into issues. We also plan to make a cross platform mobile application later and using React will allow us to reuse a lot of our code with React Native. Redux will be used to manage state. Redux works great with React and will help us manage a global state in the app and avoid the complications of each component having its own state. Additionally, we will use Bootstrap components and custom CSS to style our app.

Other: Git will be used for version control. During the later stages of our project, we will use Google Analytics to collect useful data regarding user interactions. Moreover, Slack will be our primary communication tool. Also, we will use Visual Studio Code as our primary code editor because it is very light weight and has a wide variety of extensions that will boost productivity. Postman will be used to interact with and debug our API endpoints.

See more

Overview: To put it simply, we plan to use the MERN stack to build our web application. MongoDB will be used as our primary database. We will use ExpressJS alongside Node.js to set up our API endpoints. Additionally, we plan to use React to build our SPA on the client side and use Redis on the server side as our primary caching solution. Initially, while working on the project, we plan to deploy our server and client both on Heroku. However, Heroku is very limited and we will need the benefits of an Infrastructure as a Service so we will use Amazon EC2 to later deploy our final version of the application.

Serverside: nodemon will allow us to automatically restart a running instance of our node app when files changes take place. We decided to use MongoDB because it is a non relational database which uses the Document Object Model. This allows a lot of flexibility as compared to a RDMS like SQL which requires a very structural model of data that does not change too much. Another strength of MongoDB is its ease in scalability. We will use Mongoose along side MongoDB to model our application data. Additionally, we will host our MongoDB cluster remotely on MongoDB Atlas. Bcrypt will be used to encrypt user passwords that will be stored in the DB. This is to avoid the risks of storing plain text passwords. Moreover, we will use Cloudinary to store images uploaded by the user. We will also use the Twilio SendGrid API to enable automated emails sent by our application. To protect private API endpoints, we will use JSON Web Token and Passport. Also, PayPal will be used as a payment gateway to accept payments from users.

Client Side: As mentioned earlier, we will use React to build our SPA. React uses a virtual DOM which is very efficient in rendering a page. Also React will allow us to reuse components. Furthermore, it is very popular and there is a large community that uses React so it can be helpful if we run into issues. We also plan to make a cross platform mobile application later and using React will allow us to reuse a lot of our code with React Native. Redux will be used to manage state. Redux works great with React and will help us manage a global state in the app and avoid the complications of each component having its own state. Additionally, we will use Bootstrap components and custom CSS to style our app.

Other: Git will be used for version control. During the later stages of our project, we will use Google Analytics to collect useful data regarding user interactions. Moreover, Slack will be our primary communication tool. Also, we will use Visual Studio Code as our primary code editor because it is very light weight and has a wide variety of extensions that will boost productivity. Postman will be used to interact with and debug our API endpoints.

See more
imgix logo

imgix

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Optimize, manage, and deliver images and videos for faster pages, better visual quality, and a simpler workflow.
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PROS OF IMGIX
  • 28
    Image processing on demand
  • 24
    Easy setup
  • 18
    Smart Cropping
  • 18
    Reduce Development Costs
  • 15
    Efficient
  • 12
    Insanely Fast
  • 11
    Filters, resizing, blur and more as url parameters
  • 10
    Easy to understand pricing
  • 9
    Professional Features and Options
  • 6
    Excellent Face Detection
  • 6
    Lightyears better than ImageMagick
  • 5
    S3 as source
  • 4
    Great for Dynamic Compositing
  • 4
    Scales to your company's needs
  • 1
    Free tier
  • 1
    Amazing support
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    Great libraries and integrations
  • 1
    Automatic scrset generation
  • 1
    Forward thinking
  • 1
    Video encoding
  • 1
    Fast Image Delivery
CONS OF IMGIX
    Be the first to leave a con

    related imgix posts

    Mountain/ \Ash

    Platform Update: we’ve been using the Performance Test tool provided by KeyCDN for a long time in combination with Pingdom's similar tool and the #WebpageTest and #GoogleInsight - we decided to test out KeyCDN for static asset hosting. The results for the endpoints were superfast - almost 200% faster than CloudFlare in some tests and 370% faster than imgix . So we’ve moved Washington Brown from imgix for hosting theme images, to KeyCDN for hosting all images and static assets (Font, CSS & JS). There’s a few things that we like about “Key” apart from saving $6 a month on the monthly minimum spend ($4 vs $10 for imgix). Key allow for a custom CNAME (no more advertising imgix.com in domain requests and possible SEO improvements - and easier to swap to another host down the track). Key allows JPEG/WebP image requests based on clients ‘accept’ http headers - imgix required a ?auto=format query string on each image resource request - which can break some caches. Key allows for explicitly denying cookies to be set on a zone/domain; cookies are a big strain on limited upload bandwidth so to be able to force these off is great - Cloudflare adds a cookie to every header… for “performance reasons”… but remember “if you’re getting a product something for free…”

    See more
    Mountain/ \Ash

    In mid-2018 we made a big push for speed on the site. The site, running on PHP, was taking about 7 seconds to load. The site had already been running through CloudFlare for some time but on a shared host in Sydney (which is also where most of the customers are). We found when developing the @TuffTruck site that DigitalOcean was fast - and even though it's located overseas, we still found it 2 seconds faster for Australian users. We found that some Wordpress plugins were really slowing the TTFB - with all plugins off, Wordpress would save respond 1.5-2 seconds faster. With a on/off step through of each plugin we found 2 plugins by Ontraport (a CRM type service that some forms we populating) was the main culprit. Out it went and we built our own WP plugin to do push the data to Ontraport only when required. With the TTFB acceptable, we moved on to getting the completed page load time down. Turning on CloudFlare 's HTML/CSS/JS minifications & Rocket Loader we could get our group of test pages, including the homepage, loading [in full] in just over 2 seconds. We then moved images off to imgix and put the CSS, JS and Fonts onto a mirrored subdomain (so that cookies weren't exchanged), but this only shaved about another 0.2 seconds off. We are keeping it running for the moment, but the $10 minimum a month for imgix is hardly worth it (this would be change if new images were going up all the time and needed processing). The client is overly happy with the ~70% improvement and has already seen the site move up the ranks of Google's SERP and bring down their PPC costs. AND all the new hosting providers still come in at half the price of the previous Sydney hosting service. We have a few ideas that we are testing on our staging site and will roll these out soon.

    See more
    Transloadit logo

    Transloadit

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    The world's most versatile file uploading & encoding service for developers
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    PROS OF TRANSLOADIT
    • 9
      Easy setup
    • 6
      Highly customizable
    • 5
      Incredible customer support
    • 4
      So simple and powerful
    • 2
      Easy integration with most languages
    CONS OF TRANSLOADIT
      Be the first to leave a con

      related Transloadit posts

      JavaScript logo

      JavaScript

      354.7K
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      Lightweight, interpreted, object-oriented language with first-class functions
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      PROS OF JAVASCRIPT
      • 1.7K
        Can be used on frontend/backend
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        It's everywhere
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        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
        Everyone use it
      • 9
        Expansive community
      • 9
        Easy
      • 9
        Can be used in backend, frontend and DB
      • 8
        Easy to hire developers
      • 8
        No need to use PHP
      • 8
        For the good parts
      • 8
        Can be used both as frontend and backend as well
      • 8
        Powerful
      • 8
        Most Popular Language in the World
      • 7
        Evolution of C
      • 7
        Hard not to use
      • 7
        Versitile
      • 7
        Its fun and fast
      • 7
        Supports lambdas and closures
      • 7
        Love-hate relationship
      • 7
        Photoshop has 3 JS runtimes built in
      • 7
        Nice
      • 7
        It's fun
      • 7
        Popularized Class-Less Architecture & Lambdas
      • 7
        Agile, packages simple to use
      • 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
        It let's me use Babel & Typescript
      • 6
        Easy to make something
      • 5
        Client processing
      • 5
        Everywhere
      • 5
        Scope manipulation
      • 5
        Function expressions are useful for callbacks
      • 5
        Stockholm Syndrome
      • 5
        Promise relationship
      • 5
        Clojurescript
      • 5
        What to add
      • 4
        Only Programming language on browser
      • 4
        Because it is so simple and lightweight
      • 1
        Easy to understand
      • 1
        Test
      • 1
        Test2
      • 1
        Subskill #4
      • 1
        Easy to learn
      • 1
        Hard to learn
      • 1
        Not the best
      • 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
      • 0
        HORRIBLE DOCUMENTS, faulty code, repo has bugs

      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 · 11.3M 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

      293.8K
      175.9K
      6.6K
      Fast, scalable, distributed revision control system
      293.8K
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      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 · 10M 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 · 9M 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

      281.8K
      246K
      10.3K
      Powerful collaboration, review, and code management for open source and private development projects
      281.8K
      246K
      + 1
      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
      • 486
        Great community
      • 483
        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
      • 54
        Owned by micrcosoft
      • 38
        Expensive for lone developers that want private repos
      • 15
        Relatively slow product/feature release cadence
      • 10
        API scoping could be better
      • 9
        Only 3 collaborators for private repos
      • 4
        Limited featureset for issue management
      • 3
        Does not have a graph for showing history like git lens
      • 2
        GitHub Packages does not support SNAPSHOT versions
      • 1
        No multilingual interface
      • 1
        Takes a long time to commit
      • 1
        Expensive

      related GitHub posts

      Johnny Bell

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

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

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

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

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

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

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

      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
      Python logo

      Python

      241.9K
      197.3K
      6.9K
      A clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.
      241.9K
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      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
        Very programmer and non-programmer friendly
      • 18
        Free
      • 17
        Machine learning support
      • 17
        Powerfull language
      • 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
        Import antigravity
      • 8
        It's lean and fun to code
      • 7
        Python has great libraries for data processing
      • 7
        Print "life is short, use python"
      • 6
        Although practicality beats purity
      • 6
        Readability counts
      • 6
        Rapid Prototyping
      • 6
        Fast coding and good for competitions
      • 6
        There should be one-- and preferably only one --obvious
      • 6
        Now is better than never
      • 6
        High Documented language
      • 6
        I love snakes
      • 6
        Flat is better than nested
      • 6
        Great for tooling
      • 5
        Lists, tuples, dictionaries
      • 5
        Great for analytics
      • 4
        Beautiful is better than ugly
      • 4
        Multiple Inheritence
      • 4
        Socially engaged community
      • 4
        CG industry needs
      • 4
        Easy to learn and use
      • 4
        Simple and easy to learn
      • 4
        Easy to setup and run smooth
      • 4
        Complex is better than complicated
      • 4
        Web scraping
      • 4
        Plotting
      • 3
        No cruft
      • 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
      • 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
        Generators
      • 3
        Import this
      • 2
        Good for hacking
      • 2
        Flexible and easy
      • 2
        Batteries included
      • 2
        Can understand easily who are new to programming
      • 2
        Powerful language for AI
      • 2
        Should START with this but not STICK with This
      • 2
        A-to-Z
      • 2
        Because of Netflix
      • 2
        Only one way to do it
      • 2
        Better outcome
      • 1
        Automation friendly
      • 1
        Securit
      • 1
        Slow
      • 1
        Sexy af
      • 1
        Procedural programming
      • 0
        Powerful
      • 0
        Ni
      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)

      related Python posts

      Conor Myhrvold
      Tech Brand Mgr, Office of CTO at Uber · | 44 upvotes · 11.3M 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
      Nick Parsons
      Building cool things on the internet 🛠️ at Stream · | 35 upvotes · 4M 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

      See more