GitHub Actions on AWS made Easy
Run your GitHub Actions jobs 10x cheaper and 25% faster on your own AWS account, effortlessly.
runs-on: ubuntu-latest
runs-on: sprinters:aws:ubuntu-latest
Ubuntu · x64 · arm64 · AWS
Your runners, on your AWS account.
On demand, ephemeral and with zero maintenance.
On Demand
Sprinters launches runners on demand on your AWS account. No pre-provisioning, no idle capacity.
Ephemeral
Each runner is an ephemeral EC2 instance that launches when a job starts and automatically terminates when it completes.
Zero Maintenance
One instance per job, always fresh, up to date and launched in seconds. No images to maintain. No infrastructure to run.
I’m currently an ops team of one, so anything I don’t have to manage is hugely helpful. Sprinters is so simple and helps us as we’re getting bitten by ever increasing Actions costs. Overall, lovely product and I’m kicking myself I didn’t think of it!
Simple and fair per job pricing.
You bring your own AWS account.
Sprinters charges you a low flat fee per job.
No monthly subscriptions. No per vCPU-minute charges.
| Public Repository | Private Repository |
|---|---|
| FREE |
$0.01 per job 1000 jobs free during your first 30 days |
Per job pricing
No monthly subscriptions. No per vCPU-minute charge. No hidden costs. Simple per job pricing. You only pay for what you use.
10x cheaper
Total cost per minute is usually around 10x cheaper than the equivalent runner from GitHub. Much more compute at the same price or the same compute at a much lower price. The choice is yours.
Scale to zero
Scale to zero. Or to infinity. No management infrastructure to run. Just your runners. For the duration of your jobs. At an unbeatable price.
gohugoio/hugo
benchmark
|
GitHub-hosted runner
|
||
Linux 4-core |
43m 56s Execution time |
$0.70400 Total cost |
|
Sprinters-powered runner on AWS
|
||
|
m7i-flex.xlarge 4 vCPUS, 16 GiB RAM
|
36m 50s Execution time 20% faster |
$0.05812 Total cost us-east-1 (spot) 12.1x cheaper |
Larger runners. Larger disks. x64 and arm64.
Runners in all sizes. From tiny to humongous, and everything in between.
runs-on: sprinters:aws:ubuntu-24.04-arm:r8g.48xlarge:temp=16384
| Sprinters | GitHub (Private Repo) | GitHub (Public Repo) | GitHub (Larger Runners) | |
|---|---|---|---|---|
| vCPU | 1 - 384 New | 2 | 4 | 2 - 96 |
| RAM | 0.5 - 3072 GB New | 7 GB | 16 GB | 8 - 384 GB |
| Storage | 1 - 16384 GB | 14 GB | 14 GB | 75 - 2040 |
| CPU Arch | x64 + arm64 | x64 | x64 + arm64 (beta) | x64 + arm64 |
Scalable Instances
Need lots of CPU? Plenty of RAM? Or very little? Select the right instance type from a wide array of choices.
Scalable Disks
Freely adjust the runner disk space from a few GB to multiple TB.
x64 and arm64
Pick the best CPU architecture for the job. Intel, AMD and ARM instances are fully supported.
Multiple AWS accounts, regions and subnets.
Launch your runners exactly where you need them.
runs-on: sprinters:aws/123456789012:eu-central-1/subnet-01234567890abcdef:ubuntu-latest
Multiple AWS Accounts New
Launch all your runners in the same AWS account. Or use a different one per repository, environment or project. The choice is yours.
9 AWS Regions
Put your runners next to the infrastructure they need. Pick the required region, VPC or subnet and never unnecesarily expose a resource over the public internet again.
On-Demand or Spot
Go uninterrupted with On-Demand instances. Or go for maximum savings with Spot. Optionally with cheapest availability zone auto-selection.
After we moved our infrastructure from the US to the EU, our deployments got incredibly slow due to latency. I was sure I would need a full day to configure self-hosted runners on AWS. Then I found Sprinters and got it working in under 15 minutes. Awesome! Super happy!!
Get started with a one-line change.
Easy to try. Easy to leave. No complicated migrations. No lock-in.
To migrate to Sprinters, simply set up your AWS account and
change one line in your GitHub
Actions workflow yml:
runs-on: ubuntu-latest
runs-on: sprinters:aws:ubuntu-latest
That's it. Literally.
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