Mlops Model Serving

Mlops Model Serving

Overview

Use this skill to deploy models with predictable latency/error behavior and controlled rollout risk.

Scope Boundaries

• Use this skill when the task matches the trigger condition described in description.
• Do not use this skill when the primary task falls outside this skill's domain.

Shared References

• Serving SLO and rollout rules:
  • references/serving-slo-and-rollout-rules.md

Templates And Assets

• Serving readiness checklist:
  • assets/serving-readiness-checklist.md

Inputs To Gather

• Serving topology and traffic profile.
• Latency/error SLO and error budget constraints.
• Rollout strategy and rollback capability.
• Observability and incident response expectations.

Deliverables

• Serving architecture and rollout plan.
• SLO-aligned guardrails and alert thresholds.
• Readiness evidence and rollback criteria.

Workflow

1. Define serving constraints and topology.
2. Apply references/serving-slo-and-rollout-rules.md for rollout policy.
3. Validate readiness with assets/serving-readiness-checklist.md.
4. Execute staged rollout and monitor guardrails.
5. Publish serving decision and residual risk ownership.

Quality Standard

• Serving SLOs are measurable and enforced.
• Rollout blast radius is controlled.
• Rollback decisions are objective and fast.

Failure Conditions

• Stop when serving cannot meet latency/reliability targets.
• Stop when rollback path is unverified.
• Escalate when rollout risk exceeds policy thresholds.

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