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Decisions about Google App Engine, Heroku, and Red Hat OpenShift
Kevin Williams
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.
Alex Parker
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.
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Learn MorePros of Google App Engine
Pros of Heroku
Pros of Red Hat OpenShift
Pros of Google App Engine
- Easy to deploy144
- Auto scaling108
- Good free plan80
- Easy management64
- Scalability58
- Low cost35
- Comprehensive set of features33
- All services in one place29
- Simple scaling23
- Quick and reliable cloud servers20
- Granular Billing5
- Easy to develop and unit test4
- Monitoring gives comprehensive set of key indicators3
- Create APIs quickly with cloud endpoints2
- Really easy to quickly bring up a full stack2
- Mostly up1
- No Ops1
Pros of Heroku
- Easy deployment704
- Free for side projects460
- Huge time-saver374
- Simple scaling348
- Low devops skills required261
- Easy setup190
- Add-ons for almost everything174
- Beginner friendly154
- Better for startups150
- Low learning curve133
- Postgres hosting48
- Easy to add collaborators41
- Faster development30
- Awesome documentation24
- Focus on product, not deployment19
- Simple rollback19
- Natural companion for rails development15
- Easy integration15
- Great customer support12
- GitHub integration8
- No-ops6
- Painless & well documented6
- Free4
- I love that they make it free to launch a side project4
- Just works3
- Great UI3
- PostgreSQL forking and following2
- MySQL extension2
- Able to host stuff good like Discord Bot1
- Sec0
- Security0
Pros of Red Hat OpenShift
- Good free plan97
- Open Source61
- Easy setup45
- Nodejs support41
- Well documented39
- Custom domains31
- Mongodb support27
- Clean and simple architecture26
- PHP support24
- Customizable environments20
- Ability to run CRON jobs10
- Easier than Heroku for a WordPress blog8
- PostgreSQL support6
- Autoscaling6
- Easy deployment6
- Good balance between Heroku and AWS for flexibility6
- Free, Easy Setup, Lot of Gear or D.I.Y Gear5
- Shell access to gears4
- Great Support3
- Overly complicated and over engineered in majority of e2
- Golang support2
- Its free and offer custom domain usage2
- Meteor support1
- Easy setup and great customer support1
- High Security1
- No credit card needed1
- because it is easy to manage1
- Logging & Metrics1
- Autoscaling at a good price point1
- Great free plan with excellent support1
- This is the only free one among the three as of today1
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Cons of Google App Engine
Cons of Heroku
Cons of Red Hat OpenShift
Cons of Google App Engine
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Cons of Heroku
- Super expensive23
- Not a whole lot of flexibility6
- No usable MySQL option5
- Storage5
- Low performance on free tier4
- 24/7 support is $1,000 per month1
Cons of Red Hat OpenShift
- Decisions are made for you, limiting your options2
- License cost2
- Behind, sometimes severely, the upstreams1
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What is 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.
What is Heroku?
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.
What is 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.
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What companies use Google App Engine?
What companies use Heroku?
What companies use Red Hat OpenShift?
What companies use Google App Engine?
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What are some alternatives to Google App Engine, Heroku, and Red Hat OpenShift?
Amazon Web Services
It provides on-demand cloud computing platforms to individuals, companies and governments. It offers reliable, scalable, and inexpensive cloud computing services.
DigitalOcean
We take the complexities out of cloud hosting by offering blazing fast, on-demand SSD cloud servers, straightforward pricing, a simple API, and an easy-to-use control panel.
AWS Lambda
AWS Lambda is a compute service that runs your code in response to events and automatically manages the underlying compute resources for you. You can use AWS Lambda to extend other AWS services with custom logic, or create your own back-end services that operate at AWS scale, performance, and security.
Kubernetes
Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions.
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.