CI/CD runners without the headache

Runner decisions usually involve engineering, finance, security, and platform stakeholders. Hosted minutes may be easy to start with, but expensive or slow at scale. Self-hosted runners can be faster and more controlled, but only if someone operates them carefully.

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.

The service includes an assessment, a target architecture, a controlled rollout, and ongoing operations. We do not recommend self-hosted runners when the economics, security requirements, or workload profile do not justify the extra operating surface.

• Teams spending $500+/month on CI/CD minutes or seeing runner spend grow faster than engineering headcount
• Organizations with security requirements that preclude shared/cloud runners
• Companies with large mono-repos, long build pipelines, or high queue time
• Teams needing ARM64, GPU, larger disks, private networking, or specialized build images
• 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

• Runner assessment — current spend, duration, queue time, runner labels, workload types, cache behavior, and security constraints
• Runner infrastructure — provisioned, hardened, and monitored compute for your CI/CD jobs
• Autoscaling — scale from zero to agreed concurrency based on queue depth and platform capability
• Cache management — dependency, package, Docker layer, and artifact cache patterns appropriate to your workflows
• Security hardening — ephemeral execution, network isolation, scoped tokens, image hygiene, and no persistent state between jobs where supported
• Monitoring and alerting — job queue depth, build times, failure rates, runner availability, disk pressure, and infrastructure health
• OS and runtime updates — patching and image refreshes with change notes and maintenance windows where needed
• Developer handoff — runner labels, workflow examples, troubleshooting steps, and escalation path

1. Usage baseline — collect hosted-runner spend, job duration, queue time, concurrency, failure samples, and workload profile.
2. Security review — confirm repository trust model, token permissions, secrets usage, network access, artifact retention, and compliance constraints.
3. Architecture choice — select dedicated infrastructure, Kubernetes, cloud autoscaling, managed Assistance infrastructure, or hybrid.
4. Access and registration — configure CI/CD platform registration, runner groups, labels, tokens, and owner boundaries.
5. Pilot rollout — migrate representative workflows or jobs first, compare timing and reliability, and tune images and caches.
6. Production rollout — expand to agreed repositories and concurrency levels with documented rollback to hosted runners where appropriate.
7. Managed operations — monitor, patch, right-size, and review usage on the agreed cadence.

• runner assessment with current-state spend, duration, queue, and workload notes
• target runner architecture with isolation, network, cache, scaling, and operating assumptions
• runner registration and label strategy for agreed repositories, groups, or organizations
• hardened runner images or configuration baselines where applicable
• workflow changes or examples for moving selected jobs to self-hosted runners
• monitoring dashboards or checks for runner availability, queue depth, capacity, and disk or cache pressure
• runbooks for stuck jobs, unavailable runners, registration failures, cache problems, and rollback to hosted runners
• monthly runner operations report with usage, incidents, capacity, cost notes, and recommended changes

• 50-70% cost savings vs cloud-hosted runner minutes when workload profile and utilization support it
• 2-5x faster builds with persistent caches and right-sized compute on suitable workloads
• Ephemeral execution — every job starts clean, no cross-contamination where platform and architecture support it
• Your infrastructure — code and artifacts can remain inside your security boundary
• Zero ops for your team — we handle agreed runner operations

Runner incidents are handled by scope: unavailable runners, autoscaling failures, registration failures, image defects, disk pressure, and cache infrastructure are Assistance-owned when they are part of the managed surface. Application test failures, dependency regressions, and workflow logic remain with your engineering team unless a broader DevOps as a Service plan is active.

For each rollout, we provide a handoff note that lists runner labels, supported workloads, known limits, operational dashboards, rollback steps, and who to contact when jobs are blocked.

Want faster, cheaper CI/CD? We'll analyze your current runner usage and show you the practical savings and operating trade-offs.

Get a Runner Assessment →

• CI/CD Audit — baseline pipeline performance, reliability, security, and runner cost before rollout
• DevOps as a Service — ongoing delivery ownership beyond the runner surface
• GitOps — release promotion and recovery through Git-driven workflows
• Cloud Account Management — cost, governance, access, and billing hygiene for runner cloud accounts
• Cloud Infrastructure — landing zones, networks, and infrastructure foundations for runner platforms
• Managed Kubernetes — Kubernetes operations when runners use cluster-based execution
• Security Audit — broader security review beyond runner isolation and CI/CD permissions
• Engagement Models — compare managed operations, retainers, audits, and projects

Do we have to migrate CI/CD platforms? No. Managed runners usually keep your existing CI/CD platform and change only selected jobs or labels.

Can runners run in our cloud account? Yes. Many teams choose their own account for security and data-boundary reasons. Assistance can also manage runner infrastructure in an agreed managed environment.

Are savings guaranteed? No generic savings are guaranteed. We baseline current usage, estimate likely savings, validate with a pilot, and report actual results before broader rollout.

Can you support private networking? Yes, when the architecture is scoped for it. We document network access, DNS, egress, package mirrors, and internal-service dependencies during discovery.

What happens if self-hosted runners fail? We define a rollback or fallback procedure during rollout, usually by retaining hosted-runner labels for critical workflows until the managed runner platform is validated.