Cost you can verify
We establish the complete current cost, model the target system, and measure actual savings during the pilot.
CI cost reduction
Spend less running CI. Change it without breaking everything.
Q32 finds the CI workloads that can safely run on self-hosted spot capacity, proves the economics on your own jobs, and moves them through a controlled, reversible cutover. Keep CircleCI, GitLab CI, GitHub Actions, or the system your team already prefers.
The controller is the easy part.
The controller-to-spot model works across CI systems. The difficult work is understanding years of accumulated workflows, choosing what belongs on spot capacity, and changing the execution layer without interrupting engineering. That migration is the service.
Reliability you can prove
Representative jobs run in parallel before cutover, with explicit correctness, performance, and rollback criteria.
Your CI platform stays your choice
Stay on CircleCI, GitLab CI, GitHub Actions, or another system. A platform migration is optional and separate from the infrastructure savings.
A measured migration
No all-at-once cutover. We start with evidence, move a representative slice, and expand only after the new execution path meets agreed acceptance criteria.
Map spend and workloads
Inventory providers, concurrency, machine profiles, queues, caches, artifacts, secrets, and failure modes. Produce a savings model and migration plan.
Prove it on real jobs
Move a representative, noncritical workload—on the current CI platform unless there is a separate reason to change it—and compare outputs, duration, reliability, capacity, and actual cloud cost.
Cut over in controlled groups
Move workloads by repository or job class with monitoring, fallbacks, interruption handling, and a tested rollback path.
Right-size the fleet
Tune runner profiles, warm capacity, autoscaling, caches, and on-demand fallback from observed production behavior.
Leave your team in control
Deliver infrastructure-as-code, runbooks, dashboards, incident procedures, cost reporting, and hands-on training.
Keep Q32 on call
Add ongoing capacity tuning, upgrades, incident support, and cost reviews—or operate the system entirely in-house.
What you receive
A complete operating system for the new worker fleet, integrated with the CI platform you choose—not an opaque managed service that creates another permanent bill.
Baseline and savings modelCurrent-state cost accounting and workload-by-workload target economics.
Migration and rollback planSequenced cutover groups, acceptance tests, owners, and recovery procedures.
Worker infrastructureAutoscaled self-hosted workers or runners with spot interruption handling and on-demand fallback where appropriate.
Security boundariesNetwork, identity, secrets, image, and repository access configured for the agreed threat model.
Observability and cost attributionCapacity, queue, job, failure, interruption, and cost signals your team can operate from.
Documentation and trainingInfrastructure code, runbooks, architecture notes, and live operational handoff.
Who this is for
The strongest fit is a team with substantial CI compute spend, repeatable jobs, access to a cloud account, and enough volume for infrastructure savings to outweigh operating complexity. The existing CI vendor is not a constraint.
Spot instances are best for retryable workloads. Jobs with unusual hardware, strict latency requirements, sensitive trust boundaries, or poor interruption tolerance may remain on hosted or on-demand capacity. The objective is not to force every job onto spot—or force every team onto a different CI platform. It is to put each workload on the least expensive execution path that still meets its requirements.
Start with the bill and the workflow inventory.
Send a rough annual CI spend, your current platform, and the scale and shape of your workload. Q32 will determine whether an audit is likely to uncover meaningful savings.
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