Teams running serious CI/CD pipelines hit these walls:

• Expensive cloud-hosted minutes — GitHub Actions and GitLab SaaS minutes add up fast, especially for large teams
• Slow builds — Shared runners have cold caches and limited resources
• Security concerns — Your code runs on infrastructure you don't control
• Self-hosted is a pain — Managing runners means OS patches, Docker cache, autoscaling, and monitoring

We run your CI/CD runners as a managed service. You get the performance and cost benefits of self-hosted with none of the operational burden.

Supported platforms

We support all major CI/CD platforms with self-hosted runner management.

Primary platforms

Additional platforms

What's included

• Runner infrastructure — Provisioned, hardened, and monitored compute for your CI/CD jobs
• Autoscaling — Scale from zero to hundreds of concurrent jobs based on queue depth
• Cache management — Persistent Docker layer cache and dependency caches for fast builds
• Security hardening — Ephemeral VMs, network isolation, no persistent state between jobs
• Monitoring & alerting — Job queue depth, build times, failure rates, infrastructure health
• OS and runtime updates — We keep runners patched and up-to-date

How it works

1. Connect — We set up runner registration with your CI/CD platform (GitHub org, GitLab instance, Buildkite organization, etc.)
2. Configure — Define runner labels, resource profiles, and autoscaling rules tailored to your workloads
3. Run — Your workflows use self-hosted runners transparently—just update the runner selector in your pipeline config
4. Optimize — We monitor build times and costs, tuning resources and caches continuously

Dedicated infrastructure (recommended)

Runners on dedicated compute in your cloud account or our managed infrastructure. Full isolation, predictable performance. Works with all platforms.

Kubernetes-based

Runners as Kubernetes pods for dynamic scaling and efficient resource utilization:

• GitHub Actions — Actions Runner Controller (ARC)
• GitLab CI — Kubernetes executor
• Buildkite — Agent Stack for Kubernetes
• CircleCI — Container runners
• Azure DevOps — Kubernetes agent pools
• Woodpecker CI — Native Kubernetes support

Cloud autoscaling

Leverage cloud-native autoscaling for burst capacity:

• AWS — Buildkite Elastic CI Stack, EC2 Auto Scaling Groups
• Azure — Virtual Machine Scale Sets (VMSS) for Azure DevOps
• GCP — Managed Instance Groups

Hybrid

Mix of dedicated runners for heavy workloads and on-demand spot/preemptible instances for burst capacity. Optimize costs while maintaining performance SLAs.

• 50-70% cost savings vs cloud-hosted runner minutes
• 2-5x faster builds with persistent caches and right-sized compute
• Ephemeral execution — every job starts clean, no cross-contamination
• Your infrastructure — code and artifacts never leave your security boundary
• Zero ops for your team — we handle everything

• Teams spending $500+/month on CI/CD minutes (GitHub Actions, GitLab CI, CircleCI, etc.)
• Organizations with security requirements that preclude shared/cloud runners
• Companies with large mono-repos or long build pipelines
• Teams needing ARM64, GPU, or specialized runner environments
• Organizations migrating between CI/CD platforms and needing unified runner management
• Teams running Jenkins or Woodpecker CI who want managed infrastructure without the ops burden

• DevOps as a Service
• CI/CD Audit
• GitOps