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  1. Stackups
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  4. Platform As A Service
  5. Flynn vs Heroku

Flynn vs Heroku

OverviewDecisionsComparisonAlternatives

Overview

Heroku
Heroku
Stacks25.8K
Followers20.5K
Votes3.2K
Flynn
Flynn
Stacks14
Followers48
Votes16
GitHub Stars7.9K
Forks592

Flynn vs Heroku: What are the differences?

Introduction

In this Markdown code, we will highlight the key differences between Flynn and Heroku. Flynn and Heroku are both Platform-as-a-Service (PaaS) providers, but they have distinct features and functionalities that set them apart.

  1. Scalability and flexibility: Flynn provides a more flexible and scalable approach for users, allowing them to easily scale their applications horizontally or vertically based on demand. On the other hand, Heroku offers a more limited scaling capability, primarily focused on horizontal scaling through dynos.

  2. Containerization: Flynn utilizes containerization technology to provide a consistent and isolated runtime environment for applications. It supports various container technologies like Docker and provides better control over the runtime environment. In contrast, Heroku uses a similar containerization approach but abstracts away the underlying technology, providing a more simplified and user-friendly experience.

  3. Deployment and management: Flynn offers a self-hosted solution, allowing users to deploy and manage their applications on their own infrastructure. This provides users with greater control and customization options. In comparison, Heroku provides a fully-hosted solution, handling the infrastructure and operational tasks, which can be convenient for users who prefer a managed service.

  4. Application architecture: Flynn enables users to build and deploy their applications following a microservices architecture. It provides tools and features specifically designed to support microservices-based applications, such as service discovery, load balancing, and routing. Conversely, Heroku is more suitable for traditional monolithic applications and may not provide the same level of support and features for microservices.

  5. Pricing model: Flynn offers a transparent and straightforward pricing model, where users only pay for the infrastructure resources they consume, such as CPU, memory, and storage. This allows for cost optimization and flexibility for users. On the other hand, Heroku adopts a more complex pricing model, taking into account factors like dyno types, add-ons, and usage. This can make it more challenging to estimate and manage costs effectively.

  6. Integration ecosystem: Flynn provides a wide range of integration options and can be easily integrated with various third-party services, tools, and frameworks. This enables users to leverage their existing ecosystem and workflows. In contrast, while Heroku offers a decent set of integrations, it may have a more limited ecosystem compared to Flynn.

In summary, Flynn offers enhanced scalability, containerization control, self-hosted deployment, microservices support, transparent pricing, and a broader integration ecosystem compared to Heroku. However, Heroku provides a simpler and more managed experience, making it suitable for traditional monolithic applications and offering a larger number of hosted add-ons.

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Advice on Heroku, Flynn

Alex
Alex

Oct 20, 2020

Decided

I'm transitioning to Render from heroku. The pricing scale matches my usage scale, yet it's just as easy to deploy. It's removed a lot of the devops that I don't like to deal with on setting up my own raw *nix box and makes deployment simple and easy!

Clustering I don't use clustering features at the moment but when i need to set up clustering of nodes and discoverability, render will enable that where Heroku would require that I use an external service like redis.

Restarts The restarts are annoying. I understand the reasoning, but I'd rather watch my service if its got a memory leak and work to fix it than to just assume that it has memory leaks and needs to restart.

101k views101k
Comments
Ben
Ben

Web Designer & Developer at Self-employed

Apr 12, 2022

Decided

As I was running through freeCodeCamp's curriculum, I was becoming frustrated by Replit's black box nature as a shared server solution for Node app testing. I wanted to move into a proper workflow with Git and a dedicated deployment solution just for educational or non-commercial purposes. Heroku solved that for me in spades.

Not only does Heroku support free app deployment if you don't use their extra service handlers, but you can directly hook into your GitHub repos and automatically update the app whenever you commit to the main branch. It's a simple way to get an app running as fast as possible if you wish to share a proof of concept or prototype before moving to dedicated servers.

18.1k views18.1k
Comments
Alejandro
Alejandro

May 13, 2022

Review

I recently came across a training course on using Django and React together. That got me thinking about how to serve up the project and remember that Heroku had a great interface for serving up my Django/Python App so I would think it should work. Figured I would throw in my 2 cents, not sure if it helps.

1.27k views1.27k
Comments

Detailed Comparison

Heroku
Heroku
Flynn
Flynn

Heroku is a cloud application platform – a new way of building and deploying web apps. Heroku lets app developers spend 100% of their time on their application code, not managing servers, deployment, ongoing operations, or scaling.

Flynn lets you deploy apps with git push and containers. Developers can deploy any app to any cluster in seconds.

Agile deployment for Ruby, Node.js, Clojure, Java, Python, Go and Scala.;Run and scale any type of app.;Total visibility across your entire app.;Erosion-resistant architecture. Rich control surfaces.
Flynn goes beyond 12 factor apps. Run any Linux process written in any language or framework, even stateful apps on your own servers or any public cloud.;Scaling or adding a new cluster is simple: just add more nodes. Everything is containerized, Flynn takes care of distributing work across the cluster.;Flynn is 100% free and open source. Flynn works great out of the box, and since Flynn is modular and API-driven it's easy to modify and swap components to suit your needs.
Statistics
GitHub Stars
-
GitHub Stars
7.9K
GitHub Forks
-
GitHub Forks
592
Stacks
25.8K
Stacks
14
Followers
20.5K
Followers
48
Votes
3.2K
Votes
16
Pros & Cons
Pros
  • 703
    Easy deployment
  • 459
    Free for side projects
  • 374
    Huge time-saver
  • 348
    Simple scaling
  • 261
    Low devops skills required
Cons
  • 27
    Super expensive
  • 9
    Not a whole lot of flexibility
  • 7
    No usable MySQL option
  • 7
    Storage
  • 5
    Low performance on free tier
Pros
  • 6
    Free
  • 5
    Supports few types of containers:libvirt-lxc, docker
  • 2
    PostgreSQL HA
  • 2
    Easy setup
  • 1
    12-factor methodology
Integrations
Mailgun
Mailgun
Postmark
Postmark
Loggly
Loggly
Papertrail
Papertrail
Redis Cloud
Redis Cloud
Red Hat Codeready Workspaces
Red Hat Codeready Workspaces
Nitrous.IO
Nitrous.IO
Logentries
Logentries
MongoLab
MongoLab
Gemfury
Gemfury
Scala
Scala
Rails
Rails
Ruby
Ruby
Clojure
Clojure
Grails
Grails
Java
Java
Golang
Golang
Django
Django
PHP
PHP
PostgreSQL
PostgreSQL

What are some alternatives to Heroku, Flynn?

Clever Cloud

Clever Cloud

Clever Cloud is a polyglot cloud application platform. The service helps developers to build applications with many languages and services, with auto-scaling features and a true pay-as-you-go pricing model.

Google App Engine

Google App Engine

Google has a reputation for highly reliable, high performance infrastructure. With App Engine you can take advantage of the 10 years of knowledge Google has in running massively scalable, performance driven systems. App Engine applications are easy to build, easy to maintain, and easy to scale as your traffic and data storage needs grow.

Red Hat OpenShift

Red Hat OpenShift

OpenShift is Red Hat's Cloud Computing Platform as a Service (PaaS) offering. OpenShift is an application platform in the cloud where application developers and teams can build, test, deploy, and run their applications.

AWS Elastic Beanstalk

AWS Elastic Beanstalk

Once you upload your application, Elastic Beanstalk automatically handles the deployment details of capacity provisioning, load balancing, auto-scaling, and application health monitoring.

Render

Render

Render is a unified platform to build and run all your apps and websites with free SSL, a global CDN, private networks and auto deploys from Git.

Hasura

Hasura

An open source GraphQL engine that deploys instant, realtime GraphQL APIs on any Postgres database.

Cloud 66

Cloud 66

Cloud 66 gives you everything you need to build, deploy and maintain your applications on any cloud, without the headache of dealing with "server stuff". Frameworks: Ruby on Rails, Node.js, Jamstack, Laravel, GoLang, and more.

Jelastic

Jelastic

Jelastic is a Multi-Cloud DevOps PaaS for ISVs, telcos, service providers and enterprises needing to speed up development, reduce cost of IT infrastructure, improve uptime and security.

Dokku

Dokku

It is an extensible, open source Platform as a Service that runs on a single server of your choice. It helps you build and manage the lifecycle of applications from building to scaling.

PythonAnywhere

PythonAnywhere

It's somewhat unique. A small PaaS that supports web apps (Python only) as well as scheduled jobs with shell access. It is an expensive way to tinker and run several small apps.

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