Pricing
| Runner | RunsOn | GitHub | RunsOn vs GitHub |
|---|---|---|---|
| 1cpu-linux-x64 | $0.0008 | - | - |
| 2cpu-linux-x64 | $0.0011 | $0.0080 | 7.2x cheaper |
| 4cpu-linux-x64 | $0.0019 | $0.0160 | 8.6x cheaper |
| 8cpu-linux-x64 | $0.0034 | $0.0320 | 9.5x cheaper |
| 16cpu-linux-x64 | $0.0068 | $0.0640 | 9.4x cheaper |
| 32cpu-linux-x64 | $0.0114 | $0.1280 | 11.3x cheaper |
| 48cpu-linux-x64 | $0.0165 | - | - |
| 64cpu-linux-x64 | $0.0147 | $0.2560 | 17.4x cheaper |
| Runner | RunsOn | GitHub | RunsOn vs GitHub |
|---|---|---|---|
| 1cpu-linux-arm64 | $0.0006 | - | - |
| 2cpu-linux-arm64 | $0.0010 | $0.0050 | 5.1x cheaper |
| 4cpu-linux-arm64 | $0.0014 | $0.0100 | 7.3x cheaper |
| 8cpu-linux-arm64 | $0.0029 | $0.0200 | 7.0x cheaper |
| 16cpu-linux-arm64 | $0.0048 | $0.0400 | 8.4x cheaper |
| 32cpu-linux-arm64 | $0.0098 | $0.0800 | 8.2x cheaper |
| 48cpu-linux-arm64 | $0.0141 | - | - |
| 64cpu-linux-arm64 | $0.0200 | $0.1600 | 8.0x cheaper |
$/min, us-east-1 prices. Includes compute + storage costs
for the most recent EC2 family types (m7a*,m7i*, m7g*).
Savings are even higher if you include the speed gains or switch
to previous-generation instance types.
Faster, cheaper, and more secure
RunsOn can be installed in your private AWS account in 10 minutes, so that you can benefit from self-hosted GitHub Actions runners, at a much cheaper price, and with access to faster runners.
All while keeping your repository content and secrets safe.
Thanks to deep integration with AWS services, RunsOn is the only solution to come with fast, unlimited caches, including docker layers. And no limit on concurrency.
RunsOn is available in 10 AWS regions. Use the installation guide to setup the CloudFormation stack and your private GitHub App in 10 minutes.
Replace default runner:
- runs-on: ubuntu-latest+ runs-on: [runs-on,runner=2cpu-linux-x64]4 CPUs, x64 with 16 or 32GB ram across all m7*, r7*, c7* families, larger disk:
- runs-on: ubuntu-latest+ runs-on: [runs-on,runner=4cpu-linux-x64,family=m7+r7+c7,ram=16+32,disk=100]16 CPUs, ARM64, explicit instance family:
- runs-on: ubuntu-latest+ runs-on: [runs-on,runner=16cpu-linux-arm64,family=c7g]32CPUs, on-demand only, custom AMI:
- runs-on: ubuntu-latest+ runs-on: [runs-on,runner=32cpu-linux-x64,ami=my-custom-ami,spot=false]
Easy to setup. 85% cheaper than GitHub Actions.
Our main repository saw an average decrease in CI runtime of 35%. Another repository could fully utilize 16 threads, which dropped its runtime by 75%.
RunsOn helped reduce our monthly CI costs from $1100 to $400 (third-party SaaS), [i.e. 80% cheaper than GitHub]. Also because it is cheaper we increased the instance size, which made it faster and improved our iteration times by 2x.
By leveraging AWS with ECR, RunsOn helped cut our cache restore and image pull times by 80% and 60% respectively. The added bonus of an unrestricted distributed cache via S3 for developer workstations, GPU spot instances via EC2 for our simulations, and retained GitHub Action integration more than justified our infrastructure migration.
I've been testing Kubernetes with ARC: more complex, each runner takes ~25 seconds to boot (on an existing node), far less attractive than the simplicity of RunsOn.
Less than 10 min to test, install and use the product. You can finetune any workflow (CPU, RAM, machine type/size..) depending on your needs. The cache download speed is blazing fast thanks to amazon s3 endpoint. Pricing is transparent, pay only what you use with no overage.
We've been using RunsOn for our organization's hosted GitHub Actions runner service and it has been a game-changer. The platform is reliable, user-friendly, and helps us streamline our workflows efficiently. We highly recommend RunsOn to anyone looking for a seamless CI/CD solution.
With RunsOn, we have increased CI/CD performance and reliability at a fraction of the cost of official or private hosted runners – it's a no-brainer for any DevOps team using GitHub actions at scale.
We've just started using self hosted runners, and we were looking into possible solutions, including running them in Kubernetes, but then we found RunsOn: it's definitely what we needed! The fact that instances are compatible with the github hosted runners made the transition very smooth.
We used the default GHA runners before. The main reason for switching was the need for ARM runners. Overall I'd say we've seen a 2-3x speedup for ~25% of the GHA cost.
CI times are down from ~30 mins to 12 mins, thanks to the larger instances. S3 being faster also helped our one not-very-parallel job.
Low maintenance
RunsOn comes as a CloudFormation stack that you install in your own AWS account (10 regions supported). Usual cost is between $1.5 and $5/month. One-click install, one-click upgrades.
The server receives workflow events from GitHub Action, and launches ephemeral EC2 instances to fulfill the workflow job requirements (see architecture).
No need to manage a Kubernetes cluster with Action Runner Controller (ARC), or deploy complicated, half-maintained stacks.
Observable
RunsOn automatically publishes metrics for consumed minutes across repository, workflows, runner types, and result (success, failure).
Can be used to monitor the most expensive workflows, detect anomalies, and gain insights into failure rates of your workflows.
10x cheaper, up to 30% faster
Latest generation of AWS instances, fast volumes, and 10+ Gbps network. Your
builds will be faster.
Use the calculator to see how much you can save compared to GitHub runners. Look at the benchmarks to see how much faster your runners can be.
Unlimited concurrency
Tested with hundreds of concurrent jobs at once.
One-line change
1-1 workflow compatibility with official GitHub runners. In fact, RunsOn is the maintainer of the AWS images for GitHub Action, for both x64 and ARM64.
Get the runners your team deserves
Forget statically assigned runner types. Specify RAM, CPU, DISK size, at runtime. Make your runners fit your workflow needs, not the other way around.
10x cheaper, for 10 minutes of work
You can always switch back to official runners at any time.
Get started →