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.
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.
The Friendliest.app started on Heroku (both app and db) like most of my projects. The db on Heroku was on the cusp of becoming prohibitively expensive for this project.
After looking at options and reading recommendations we settled on Render to host both the application and db. Render's pricing model seems to scale more linearly with the application instead of the large pricing/performance jumps experienced with Heroku.
Migration to Render was extremely easy and we were able to complete both the db and application moves within 24 hours.
The only thing we're really missing on Render is a CLI. With Heroku, we could manage everything from the command line in VSCode. With Render, you need to use the web shell they provide.
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.
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.
Once you upload your application, Elastic Beanstalk automatically handles the deployment details of capacity provisioning, load balancing, auto-scaling, and application health monitoring.
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.
Built-in support for Node.js, Ruby, Python, PHP, Perl, and Java (the standard in today's Enterprise);OpenShift is extensible with a customizable cartridge functionality that allows developers to add any other language they wish. We've seen everything from Clojure to Cobol running on OpenShift;OpenShift supports frameworks ranging from Spring, to Rails, to Play;Autoscaling- OpenShift can scale your application by adding additional instances of your application and enabling clustering. Alternatively, you can manually scale the amount of resources with which your application is deployed when needed;OpenShift by Red Hat is built on open-source technologies (Red Hat Enterprise Linux- RHEL);One Click Deployment- Deploying to the OpenShift platform is as easy a clicking a button or entering a "Git push" command
Elastic Beanstalk is built using familiar software stacks such as the Apache HTTP Server for Node.js, PHP and Python, Passenger for Ruby, IIS 7.5 for .NET, and Apache Tomcat for Java;There is no additional charge for Elastic Beanstalk - you pay only for the AWS resources needed to store and run your applications.;Easy to begin – Elastic Beanstalk is a quick and simple way to deploy your application to AWS. You simply use the AWS Management Console, Git deployment, or an integrated development environment (IDE) such as Eclipse or Visual Studio to upload your application;Impossible to outgrow – Elastic Beanstalk automatically scales your application up and down based on default Auto Scaling settings;Complete control – Elastic Beanstalk lets you "open the hood" and retain full control over the AWS resources powering your application;Flexible – You have the freedom to select the Amazon EC2 instance type that is optimal for your application based on CPU and memory requirements, and can choose from several available database options;Reliable – Elastic Beanstalk runs within Amazon's proven network infrastructure and datacenters, and provides an environment where developers can run applications requiring high durability and availability.
Statistics
GitHub Stars
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GitHub Stars
885
GitHub Stars
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GitHub Forks
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GitHub Forks
510
GitHub Forks
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Stacks
25.8K
Stacks
1.6K
Stacks
2.1K
Followers
20.5K
Followers
1.4K
Followers
1.8K
Votes
3.2K
Votes
517
Votes
241
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
99
Good free plan
63
Open Source
47
Easy setup
43
Nodejs support
42
Well documented
Cons
2
License cost
2
Decisions are made for you, limiting your options
1
Behind, sometimes severely, the upstreams
Pros
77
Integrates with other aws services
65
Simple deployment
44
Fast
28
Painless
16
Free
Cons
2
Charges appear automatically after exceeding free quota