Layer 8 of 9

Deployment & monitoring. shipping is the start of responsibility.

Production is a living organism.

Canary deployments expose fractions of traffic to new graphs while telemetry guards regressions.

Autoscaling pairs orchestrator patterns with GPU quotas; alerts wake humans before SLAs crack.

See Deadwood's solutionNext layer: Feedback & fine-tuning

What this layer does

Operating discipline

Versioning ties checkpoints to CI commits; rollbacks stay one revert away.

Cost meters allocate spend per tenant — finance reconciles usage-based invoices trivially.

The problem without Deadwood

Without custodianship, your team inherits every sharp edge below.

  • Maintain bespoke Helm charts per region.
  • Patch Prometheus rules whenever queues rename.
  • Coordinate incident bridges without runbooks.

Typical DIY cost

Timeline
always-on ownership
Budget
$150k–$700k/yr platform tax
Expertise
SRE + FinOps + ML engineers

Deadwood's solution

Opinionated APIs wire custodied data, runners, and proofs together — no boilerplate archaeology.

from deadwood import ProductionPlane

plane = ProductionPlane(
    model_id="fin-risk-v3",
    regions=["eu-west", "us-east"],
    autoscale=True,
)

plane.promote(version="2025.05.08")

How Deadwood custodies this layer

ProductionPlane inherits evaluations — failing attestations never reach routers.

Deadwood surfaces unified health: latency, GPU watts, $/1k tokens, incident timelines.

Next steps

Continue the tour

Follow how custody chains into Feedback & fine-tuning.

Next: Feedback & fine-tuning

Run a workload

Provision runners and metered jobs — describe the outcome, not every knob.

Start a job

Talk to custodians

White-glove onboarding for regulated teams and bespoke stacks.

Schedule a demo
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