Autoscaling for Heroku
Response times, queue times, job queues, load and schedule-based autoscaling for web and worker dynos
By shutting down idle resources when they're unnecessary, you can save money on your monthly bill.
Handle Load Fluctuation
Scale up and down automatically based on the load of your application using a variety of metrics, including job queues, queue times, and load.
Faster Job Processing
Spin up more workers than you usually would to process jobs at a faster rate without increasing your worker fees. Dyno fees are pro-rated to the second.
HireFire performs checkups every minute to determine whether or not your dyno formation needs to be adjusted.
Optionally, or exclusively, scale based on a weekly schedule. Preemptively scale up before huge traffic spikes hit your application.
Heroku Logplex Integration
Integrating with Heroku Logplex allows your application to autoscale based on response times, queue times, requests per minute, and load.
Spread your workload out across multiple queues and dyno types, autoscale them individually. There are no limitations on the amount of Procfile entries and dyno managers that you can create.
Flexible App Integration
There are Ruby or Python libaries to get up and running with minimal effort. These libraries aren't mandatory and you can get setup easily without them as well. In some cases they aren't necessary at all.