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기계 지원 번역 초안 (Korean) for "The Mechanism of the Heavens": The Mechanism of the Heavens is listed by Polymaths as a notable work associated with Mary Somerville, connecting that figure's public legacy to Mathematics, Astronomy, Physics.

“예문 초안: The Mechanism of the Heavens appears in the Polymaths profile for Mary Somerville.”

기계 지원 번역 초안 (Korean) for "TLS Traffic Shaper": TLS Traffic Shaper is a networking control mechanism that limits or prioritizes flows across links for encrypted transport setup. It uses queues, rate limits, and quality-of-service rules so teams can protect important traffic while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The network engineering team used TLS Traffic Shaper when a certificate neared expiration, so the team could protect important traffic before traffic crossed a service boundary.”

기계 지원 번역 초안 (Korean) for "Vulnerability Detection Rule": Vulnerability Detection Rule is a security security analytic that matches suspicious behavior or known indicators for weakness tracking and remediation. It uses logs, thresholds, signatures, and behavioral context so teams can surface actionable alerts while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The security team used Vulnerability Detection Rule when a scanner found a critical issue, so the team could surface actionable alerts before the risk review began.”

기계 지원 번역 초안 (Korean) for "Routing Grounding Check": Routing Grounding Check is a ai quality control that verifies that generated answers are backed by available sources for selection among models, tools, and workflows. It uses citation checks, retrieval evidence, and contradiction detection so teams can reduce unsupported claims while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The AI platform team used Routing Grounding Check when the router selected a cheaper model, so the team could reduce unsupported claims before the agent workflow reached production.”

기계 지원 번역 초안 (Korean) for "CD Rollout Guard": CD Rollout Guard is a devops release control that limits exposure during gradual deployment for deployment automation and promotion. It uses traffic slices, health checks, and automatic pause rules so teams can reduce blast radius while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The DevOps team used CD Rollout Guard when the release moved toward production, so the team could reduce blast radius before the deployment window opened.”

기계 지원 번역 초안 (Korean) for "Virtual Machine Isolation Boundary": Virtual Machine Isolation Boundary is a compute security boundary that separates workloads so one cannot affect another unexpectedly for isolated guest compute. It uses namespaces, sandboxes, and access controls so teams can reduce cross-workload risk while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The platform engineering team used Virtual Machine Isolation Boundary when the VM migrated hosts, so the team could reduce cross-workload risk before the workload scaled up.”

기계 지원 번역 초안 (Korean) for "Memory Resource Quota": Memory Resource Quota is a compute limit that sets how much compute a workload may consume for volatile runtime storage. It uses policy, reservations, and usage tracking so teams can protect shared capacity while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The platform engineering team used Memory Resource Quota when the process approached its memory limit, so the team could protect shared capacity before the workload scaled up.”

기계 지원 번역 초안 (Korean) for "Rollback Approval Step": Rollback Approval Step is a devops workflow control that requires review before a sensitive change proceeds for recovery from a bad deployment. It uses role checks, comments, and audit logs so teams can keep high-risk automation accountable while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The DevOps team used Rollback Approval Step when the error budget started burning, so the team could keep high-risk automation accountable before the deployment window opened.”

기계 지원 번역 초안 (Korean) for "Virtual Machine Image Hardening": Virtual Machine Image Hardening is a compute security practice that reduces risk inside packaged runtime images for isolated guest compute. It uses minimal bases, patching, and vulnerability checks so teams can ship safer workloads while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The platform engineering team used Virtual Machine Image Hardening when the VM migrated hosts, so the team could ship safer workloads before the workload scaled up.”

기계 지원 번역 초안 (Korean) for "Packet Anycast Endpoint": Packet Anycast Endpoint is a networking routing pattern that advertises one address from multiple locations for unit of network transmission. It uses regional announcements, health checks, and traffic steering so teams can serve users from nearby healthy sites while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The network engineering team used Packet Anycast Endpoint when packet loss increased, so the team could serve users from nearby healthy sites before traffic crossed a service boundary.”

기계 지원 번역 초안 (Korean) for "Secrets Detection Rule": Secrets Detection Rule is a security security analytic that matches suspicious behavior or known indicators for keys, tokens, and credentials. It uses logs, thresholds, signatures, and behavioral context so teams can surface actionable alerts while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The security team used Secrets Detection Rule when a secret appeared in logs, so the team could surface actionable alerts before the risk review began.”

기계 지원 번역 초안 (Korean) for "CD Release Manifest": CD Release Manifest is a devops delivery record that lists versions, artifacts, routes, and checks for a release for deployment automation and promotion. It uses commit IDs, checksums, and deployment URLs so teams can make releases auditable while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The DevOps team used CD Release Manifest when the release moved toward production, so the team could make releases auditable before the deployment window opened.”

기계 지원 번역 초안 (Korean) for "CD Build Gate": CD Build Gate is a devops quality gate that blocks promotion when required checks fail for deployment automation and promotion. It uses tests, lint, security scans, and policy rules so teams can prevent broken releases while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The DevOps team used CD Build Gate when the release moved toward production, so the team could prevent broken releases before the deployment window opened.”

기계 지원 번역 초안 (Korean) for "Cloud Trust Boundary": Cloud Trust Boundary is a security security boundary that defines where assumptions, identities, or permissions change for cloud account and resource security. It uses network edges, service roles, and data classifications so teams can avoid accidental privilege crossing while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The security team used Cloud Trust Boundary when a storage bucket changed policy, so the team could avoid accidental privilege crossing before the risk review began.”

기계 지원 번역 초안 (Korean) for "Prompt Memory Scope": Prompt Memory Scope is a ai state boundary that limits what an assistant may remember or reuse for instructions and context passed to a model. It uses retention policies, consent checks, and namespace separation so teams can prevent accidental cross-context leakage while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The AI platform team used Prompt Memory Scope when the prompt changed between releases, so the team could prevent accidental cross-context leakage before the agent workflow reached production.”

기계 지원 번역 초안 (Korean) for "Context Model Router": Context Model Router is a ai selection service that chooses the best model or provider for a task for runtime memory and retrieved information. It uses cost, latency, capability, policy, and fallback signals so teams can match work to the right model while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The AI platform team used Context Model Router when the context window filled with mixed sources, so the team could match work to the right model before the agent workflow reached production.”

기계 지원 번역 초안 (Korean) for "Polymathic Law": In Polymaths, Law is treated as one domain in a wider multidisciplinary practice, connected through figures such as Gottfried Wilhelm Leibniz, Thomas Jefferson.

“예문 초안: Polymathic law becomes more powerful when it connects with other domains instead of remaining isolated.”

기계 지원 번역 초안 (Korean) for "Incident Artifact Signature": Incident Artifact Signature is a devops supply-chain record that proves that an artifact came from an expected build path for response to service degradation. It uses cryptographic signatures, provenance, and verification so teams can trust deployed packages while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The DevOps team used Incident Artifact Signature when on-call received a high-severity page, so the team could trust deployed packages before the deployment window opened.”

기계 지원 번역 초안 (Korean) for "Training Bias Audit": Training Bias Audit is a ml review process that looks for uneven model behavior across groups or segments for model learning and optimization workflows. It uses slice metrics, representative data, and reviewer notes so teams can surface fairness risks while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The machine learning team used Training Bias Audit when the training job restarted, so the team could surface fairness risks before the model moved into evaluation.”

기계 지원 번역 초안 (Korean) for "Pipeline Model Card": Pipeline Model Card is a ml documentation artifact that summarizes intended use, limits, and evaluation evidence for automated data and model workflow. It uses dataset notes, metric tables, and risk statements so teams can publish model behavior honestly while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The machine learning team used Pipeline Model Card when the pipeline missed a validation step, so the team could publish model behavior honestly before the model moved into evaluation.”