Autoscale Your Resque Workers The Right Way

Avoid downtime. Reduce hosting costs. Use job queue latency to monitor your workers and scale automatically.
$ bundle add judoscale-resque
You'll be autoscaling in minutes

Why autoscale your Resque workers?

Most Resque setups are over-provisioned. You’re paying through the nose for resources you don’t need, but you do it because you’ve been burned with downtime.

Even worse, you still encounter unexpected queue backlogs! Workloads are variable and sometimes unpredictable, so even your extra workers aren’t always enough.

Autoscaling is the solution here, and it’s pretty simple. We monitor the capacity of your Resque queues, and we scale your workers accordingly. You’ll never pay for resources you don’t need, and you’ll always have capacity to meet those sudden bursts of jobs.

Judoscale scaling charts

Explore for yourself in our sandbox app →

What makes Judoscale different?

While most autoscalers rely on generic metrics like CPU, Judoscale monitors the queue latency in your Resque setup. Queue latency is a way more reliable capacity metric for workers, and we built our autoscaler with queue latency in mind from the beginning.

We also give you a whole lot of control and visibility into your autoscaling that you won’t find elsewhere. Autoscaling is all we do, and we’ve been doing it for a long time.

  • Trusted by
    900+
    engineering teams
  • Over
    2.5 million
    requests per month
  • Since
    2017
    we are here to stay

The fastest autoscaler for Resque

With autoscaling decisions made every 10 seconds, Judoscale ensures your Resque workers scale up quickly to meet demand.

screenshot of scaling up fast

Independent queues & processes

No matter how many worker processes you have, Judoscale will autoscale all of them. And of course you’ll have dedicated controls for each one.

screenshot of selecting a worker dyno in Judoscale

Reduce Resque Hosting Costs

Avoid overscaling with Judoscale’s precise autoscaling algorithm, saving you money on hosting costs without sacrificing performance.

screenshot of a Heroku bill

You’re In Control

Fine-tune your autoscale settings with Judoscale’s easy-to-use controls, ensuring the perfect configuration for your Resque setup.

Explore the configs in our sandbox app →
screenshot of Judoscale configuration options

Most applications have greatly overprovisioned resources, because resources are provisioned manually in response to developer stress (pages, calls, incidents) rather than automatically (in response to metrics, e.g. request queue time).

Nate Berkopec
The Complete Guide to Rails Performance
Nate Berkopec headshot

Judoscale’s deep integration with Sidekiq queues let us easily tag which queues we wanted a faster response. We were able to tune our scaling sensitivity for exactly our usage pattern of intermittent batches of large jobs.

Michael Buckbee
Founder, Gently Used Domains
Michael Buckbee headshot

I found Judoscale through Nate Berkopec’s Rails Performance workshop. Glad I did, because we’re very happy with Judoscale!

Eric Kurzenberger
Director of Engineering, Mitchell Stores
Eric Kurzenberger headshot

Chameleon has been extremely stable thanks to Judoscale. We have very high spikes in traffic, and I don’t even have to think about it.

Brian Norton
Co-founder & CTO, Chameleon
Brian Norton headshot

We could see the care in Judoscale’s documentation, the gems were well-documented and designed with a general sense of quality.

Sean Devine
CEO, XBE
Sean Devine headshot

You guys are rock stars!! I think this is the 3rd time now that you've already had a solution ready to go to solve our problem. This is exactly what I was looking for!!

Matt Tarantino
Dev Ops Tech Lead, TeePublic
Matt Tarantino headshot

We’re really impressed by the simplicity and ease of use of Judoscale. We’ve gone from constant worries over site performance, to complete confidence in our configuration. What a great tool!

Christopher Batts
Co-Founder & CEO, Setyl
Christopher Batts headshot

Start autoscaling for free

Setup takes less than 5 minutes