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Pay for What You Use.

Eliminate idle dynos and save up to 90% on costs.

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Quick Setup

Peace of Mind

Save Money

Companies Served

Applications Configured

Dynos Autoscaled

2025

Operating Since

Customers

Trusted by 1500+ companies since 2011.

Autoscaling

Web and Worker Dynos

Idle dynos waste money and slow ones lose users. Scale with demand instead.

Reduce Heroku costs without performance compromise

Web Dyno Scaling

Scale based on request queue time for precise, responsive scaling.

Worker Dyno Scaling

Scale based on queue latency and size to drain job queues fast.

Dyno Type Support

Full support for the Standard, Performance, Private, and Shield dyno types.

Control

Fine-Grained Control

Calibrate scaling behavior to fit your application's requirements.

Custom Controls

Set min/max dynos, scaling sensitivity, timeouts, and more to fine-tune behavior.

Fast Reactivity

Checks run every 60 seconds, or every 15 with Overclock mode.

Scheduled Formations

Set weekly schedules for predictable traffic and workloads to eliminate delays entirely.

Integration

Framework and Library Support

Built-in integrations for web frameworks and worker libraries across Ruby, Python, and Node.

Rails

Hanami

Sinatra

Rack

Sidekiq

Django

Flask

Celery

Express

Sails

Nest

BullMQ

Setup

Up and Running in Minutes

Add the library, configure the scaling rules, and deploy.

                Rails + SolidQueue (also works with Sidekiq, Resque, and more)
              
1

                    Add the hirefire library
                    $ bundle add hirefire-resource
                  
2

                    Configure your dynos
                    HireFire.configure do |config|
  config.dyno(:web)
  config.dyno(:worker) do
    HireFire::Macro::SolidQueue.job_queue_latency
  end
end
                  

                    3
                  

                    Deploy to Heroku
                    $ git push heroku master
                  

                Flask + RQ (also works with Django, Celery, and more)
              
1

                    Add the hirefire library
                    $ pip install hirefire-resource
                  
2

                    Configure your dynos
                    from hirefire_resource import HireFire
from hirefire_resource.macro.rq import job_queue_size
from hirefire_resource.middleware.wsgi.flask import HireFireMiddleware
from flask import Flask

with HireFire.configure() as config:
    config.dyno("web")
    config.dyno("worker", lambda: job_queue_size())

app = Flask(__name__)
app.wsgi_app = HireFireMiddleware(app)
                  

                    3
                  

                    Deploy to Heroku
                    $ git push heroku master
                  

                Express + BullMQ (also works with Koa, Sails, and more)
              
1

                    Add the hirefire library
                    $ npm install hirefire-resource
                  
2

                    Configure your dynos
                    const express = require("express")
const HireFire = require("hirefire-resource")
const HireFireMiddleware = require("hirefire-resource/middleware/express")
const { jobQueueSize } = require("hirefire-resource/macro/bullmq")

HireFire.configure(config => {
  config.dyno("web")
  config.dyno("worker", async () => jobQueueSize())
})

const app = express()
app.use(HireFireMiddleware)
                  

                    3
                  

                    Deploy to Heroku
                    $ git push heroku master
                  

Pricing

Scale More, Pay Less

Two modes with fixed rates and everything included.

Most Used

Baseclock

Autoscaling for most workloads.

$25 /mo per app

60-second intervals

Overclock

4x faster scaling when every second counts.

$50 /mo per app

15-second intervals

Both modes include all features. Switch anytime.

Take a 30-Day Trial

No credit card required. Cancel anytime.

Autoscale Heroku.
Pay for What You Use.

Web and Worker Dynos

Web Dyno Scaling

Worker Dyno Scaling

Dyno Type Support

Fine-Grained Control

Custom Controls

Fast Reactivity

Scheduled Formations

Framework and Library Support

Up and Running in Minutes

Scale More, Pay Less

Baseclock

Overclock

Getting Started

Resources

Legal

Autoscale Heroku.Pay for What You Use.

Web and Worker Dynos

Web Dyno Scaling

Worker Dyno Scaling

Dyno Type Support

Fine-Grained Control

Custom Controls

Fast Reactivity

Scheduled Formations

Framework and Library Support

Up and Running in Minutes

Scale More, Pay Less

Baseclock

Overclock

Autoscale Heroku.
Pay for What You Use.