Heroku vs. Google App Engine vs. Paz

If you want to run this for free on a single dyno, you can use heroku

Heroku makes it easy to deploy in minutes and it's free for one dyno.

Hosting. Easy to deploy.

Site hosting, SSL, and PostgreSQL hosting.

We use Heroku for our main website which is built on Ruby on Rails.

I use heroku to deploy my web apps in seconds.

Node.js API hosting

Our app is built using Ruby on Rails. We deploy on Heroku via github. We have separate instances for prod and staging, and can increase/decrease dyno's depending on load.

Buildtime Trend as a Service is hosted on Heroku

We keep the Metrics tab open while we load test, and hit refresh to see what’s going on:

I would expect the graphs to expand with some sort of detail, but that’s not the case. So these metrics aren’t very useful. The logs are far more useful, so we just keep the tail open while we test.

Not having to deal with servers is a huge win for us. There are certainly trade-offs (having to wait if the platform is down as opposed to being able to fix the issue), but we’re happy being on Heroku right now. Being able to focus 100% of our technical efforts on application code is immensely helpful.

Two dynos seems to be the sweet spot for our application. We can handle traffic spikes and get pretty consistent performance otherwise.

We have a total of four apps on Heroku: Legacy Leanstack, StackShare Prod, StackShare Staging, StackShare Dev. Protip: if you’re setting up multiple environments based on your prod environment, just run heroku fork app name. Super useful, it copies over your db, add-ons, and settings.

We have a develop branch on GitHub that we push to dev to test out, then if everything is cool we push it to staging and eventually prod. Hotfixes of course go straight to staging and then prod usually.

hosting

Easy deployment and high scalability. We want to scale.

Easy deployment for kicking off your project. No DevOps headaches.

With its complimentary SSL (on *.herokuapp.com) we can test everything. Our dev branch is built and deployed out to Heroku. Testing happens out here. not production cause $20/mo is TOO much to pay for the ability to use my own SSL purchased elsewhere.

Serve our web version.

Heroku is amazing. We use the effortless git integration to deploy code for review to our clients. We also have projects that run on Heroku in production.

Hosting for non-critical applications

5 years of experience using Heroku for application deployment, management, and production.

Hosts the main Sweat Shop application as well as all worker applications (deployed on their own instances)

Host application and automated deployments for prod and non-prod.

Heroku is my hosting platform.

Hosting

Job Scheduler

easy deployment of any personal or client project I may be working on.

Continuous integration.

Development / test iterations of the site are being sandboxed in heroku.

Agile Toolkit default project is configured for easy installation through Heroku.

Heroku runs the web and background worker processes. Auto-deployments are triggered via GitHub commits and wait for the Buildkite test build to pass. Heroku pipelines with beta release phase execution (for automatically running database migrations) allowed for easy manual testing of big new releases. Web and worker logs are sent to Papertrail.

We use for apps

Used to host the application on a custom domain name.

Most of our apps and services start life on heroku before moving upstream to AWS.

Launching API server

Hosting for the client and api

Main platform of deployment. This proved to be the easiest with our React + Node stack.

We had the develop branch deployed on a staging subdomain and master on the rootdomain.

Hosting platform for all components of SRX

Hosts the PRS UI Rails app, which manages rules within PRS

easy to get up & running

All my apps have been deployed using Heroku. I've found it very easy to use.

expert

Deployment for MVP server

Our main apps are hosted on Heroku. We use Papertrail for logging, the Heroku Scheduler to automate rake tasks and deploy automatically through CircleCI.

used heroku on and off for many projects over the last 5 years. quick and dirty application infrastructure without the headaches. it ain't cheap up its worth the time savings.

Allows super quick, easy, and free deployment.

Used for easy, free deployment of personal projects.

As much as I love AWS EC, I prefer Heroku for apps like this. Heroku has grown up around Rails and Ruby, massive set of add-ons that are usually one-click setup, and I once had to perform an emergency app scale-up a that I completed in seconds from my mobile phone whilst riding the Bangkok subway. Doesn't get much easier than that.

Easy meteor deployement, PAAS

Was being used to host the bot but I now use a raspberry pi

We use Heroku to host our API endpoints, as well as our management interface.

MDST

We deployed an app for flint. It was cool I guess. I wasn't as apart of it as I should have been.

Documentation Hosting - easy to setup & free for small open source projects.

Deploy my NodeJs apps

Painless application hosting

PrometheanTV utilizes the Heroku platform as a quick and easy hosting solution that allows us to spin up applications and services for various development needs.

Development environment

Cloud instances to run our app, Cloud MySQL , Network Load Balancer

Hosted here with use of datastore and memcache

Our Data Layer, API and WebApp run on App Engine

PaaS for back-end components, including external data ingestion APIs, front-end web service APIs, hosting of static front-end application assets, back-end data processing pipeline microservices, APIs to storage infrastructure (Cloud SQL and Memcached), and data processing pipeline task queues and cron jobs. Task queue fan-out and auto-scaling of back-end microservice instances provide parallelism for high velocity data processing.

checking a swap require a lot of cpu resource, roster normally come out same day of month, every month, at a particular time. Which make very high spike, our flag ship product, iSwap, with the capability looking swap possibility with 10000 other rosters base on user critieria, you need a cloud computing give you this magnitude of computing power. gae did it nicely, user friendly, easy to you, low cost.

Our App Hosting

Would love to use this more in a larger production setting.

I've been using GAE for years.

Very easy to make cloud computing of ML models , and use containers like Kubernetes.