Autoscale your Sidekiq workers the right way
We use queue latency to monitor your workers and scale automatically.
$ bundle add judoscale-sidekiqWhy autoscale your Sidekiq workers?
Most Sidekiq 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 Sidekiq workers, and we scale them accordingly. You’ll never pay for resources you don’t need, and you’ll always have capacity to meet those sudden bursts of jobs.
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 Sidekiq setup. Queue latency is a way more reliable capacity metric that we’ve written about extensively, 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 by900+engineering teams
- Over2.5 millionautoscales per month
- Since2017we are here to stay
The fastest autoscaler for Sidekiq
With autoscaling decisions made every 10 seconds, Judoscale ensures your Sidekiq workers scale up quickly to meet demand.
Monitor all your queues
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.
Reduce Sidekiq Hosting Costs
Avoid overscaling with Judoscale’s precise autoscaling algorithm, saving you money on hosting costs without sacrificing performance.
You’re In Control
Fine-tune your autoscale settings with Judoscale’s easy-to-use controls, ensuring the perfect configuration for your Sidekiq setup.Explore the configs in our sandbox app →
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).
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.
If I was the king of the world, I would make it illegal to horizontally scale based on execution time. Scale based on queue depths, people!
I found Judoscale through Nate Berkopec’s Rails Performance workshop. Glad I did, because we’re very happy with Judoscale!
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.
We could see the care in Judoscale’s documentation, the gems were well-documented and designed with a general sense of quality.
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!
Start autoscaling for free
Setup takes less than 5 minutes