Borrador de traduccion automatica (Spanish) for "Secret Approval Step": Secret Approval Step is a devops workflow control that requires review before a sensitive change proceeds for credential and sensitive configuration. 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.
“Ejemplo en borrador: The DevOps team used Secret Approval Step when a token rotated, so the team could keep high-risk automation accountable before the deployment window opened.”
Model Safety Filter es una definicion publica de inteligencia artificial para el area Model. Explica como la capacidad Safety Filter ayuda a personas y agentes a reconocer riesgos, coordinar decisiones, citar evidencia y mantener limites operativos seguros y confiables.
“Un equipo uso Model Safety Filter durante trabajo de inteligencia artificial en Model, para comparar senales, elegir el siguiente paso y documentar la decision sin exponer datos privados.”
Evaluation Human Approval es una definicion publica de inteligencia artificial para el area Evaluation. Explica como la capacidad Human Approval ayuda a personas y agentes a reconocer riesgos, coordinar decisiones, citar evidencia y mantener limites operativos seguros y confiables.
“Un equipo uso Evaluation Human Approval durante trabajo de inteligencia artificial en Evaluation, para comparar senales, elegir el siguiente paso y documentar la decision sin exponer datos privados.”
Borrador de traduccion automatica (Spanish) for "Model Drift Provenance Ledger": Model Drift Provenance Ledger is a ml record that tracks where data came from and how it changed for changes in model performance over time. It uses hashes, source labels, and transformation history so teams can audit model inputs reliably while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The machine learning team used Model Drift Provenance Ledger when the live population changed, so the team could audit model inputs reliably before the model moved into evaluation.”
Propulsion Science Window es una definicion publica de sistemas espaciales para el area Propulsion. Explica como la capacidad Science Window ayuda a personas y agentes a reconocer riesgos, coordinar decisiones, citar evidencia y mantener limites operativos seguros y confiables.
“Un equipo uso Propulsion Science Window durante trabajo de sistemas espaciales en Propulsion, para comparar senales, elegir el siguiente paso y documentar la decision sin exponer datos privados.”
Borrador de traduccion automatica (Spanish) for "Storage Resource Quota": Storage Resource Quota is a compute limit that sets how much compute a workload may consume for persistent data and object access. It uses policy, reservations, and usage tracking so teams can protect shared capacity while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The platform engineering team used Storage Resource Quota when the workload read a large dataset, so the team could protect shared capacity before the workload scaled up.”
Borrador de traduccion automatica (Spanish) for "CI Build Gate": CI Build Gate is a devops quality gate that blocks promotion when required checks fail for continuous integration workflows. 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.
“Ejemplo en borrador: The DevOps team used CI Build Gate when a pull request entered the build queue, so the team could prevent broken releases before the deployment window opened.”
Borrador de traduccion automatica (Spanish) for "Scheduler Capacity Forecast": Scheduler Capacity Forecast is a compute planning model that estimates future resource needs for placement of work onto resources. It uses traffic history, growth assumptions, and utilization trends so teams can avoid surprise shortages while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The platform engineering team used Scheduler Capacity Forecast when the cluster needed to place a job, so the team could avoid surprise shortages before the workload scaled up.”
Borrador de traduccion automatica (Spanish) for "Secrets Evidence Chain": Secrets Evidence Chain is a security audit record that preserves how security evidence was collected and handled for keys, tokens, and credentials. It uses timestamps, hashes, owners, and storage controls so teams can support trustworthy investigation while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The security team used Secrets Evidence Chain when a secret appeared in logs, so the team could support trustworthy investigation before the risk review began.”
Borrador de traduccion automatica (Spanish) for "Runbook Build Gate": Runbook Build Gate is a devops quality gate that blocks promotion when required checks fail for documented operational procedure. 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.
“Ejemplo en borrador: The DevOps team used Runbook Build Gate when a responder needed the recovery steps, so the team could prevent broken releases before the deployment window opened.”
Borrador de traduccion automatica (Spanish) for "Pipeline Label Review": Pipeline Label Review is a ml quality workflow that checks annotations for consistency and usefulness for automated data and model workflow. It uses agreement metrics, reviewer queues, and adjudication so teams can improve supervised learning data while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The machine learning team used Pipeline Label Review when the pipeline missed a validation step, so the team could improve supervised learning data before the model moved into evaluation.”
Borrador de traduccion automatica (Spanish) for "Environment Infra Plan": Environment Infra Plan is a devops change preview that shows expected infrastructure changes before apply for configuration for a runtime stage. It uses resource graphs, policy checks, and cost notes so teams can review platform changes safely while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The DevOps team used Environment Infra Plan when staging and production drifted, so the team could review platform changes safely before the deployment window opened.”
Borrador de traduccion automatica (Spanish) for "Packet Packet Capture": Packet Packet Capture is a networking diagnostic artifact that records network packets for analysis for unit of network transmission. It uses bounded capture windows, filters, and redaction so teams can investigate protocol behavior safely while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The network engineering team used Packet Packet Capture when packet loss increased, so the team could investigate protocol behavior safely before traffic crossed a service boundary.”
Borrador de traduccion automatica (Spanish) for "Secret Rollout Guard": Secret Rollout Guard is a devops release control that limits exposure during gradual deployment for credential and sensitive configuration. 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.
“Ejemplo en borrador: The DevOps team used Secret Rollout Guard when a token rotated, so the team could reduce blast radius before the deployment window opened.”
Borrador de traduccion automatica (Spanish) for "Label Provenance Ledger": Label Provenance Ledger is a ml record that tracks where data came from and how it changed for ground-truth or weak-supervision annotation. It uses hashes, source labels, and transformation history so teams can audit model inputs reliably while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The machine learning team used Label Provenance Ledger when the label set had disagreement, so the team could audit model inputs reliably before the model moved into evaluation.”
Borrador de traduccion automatica (Spanish) for "Identity Evidence Chain": Identity Evidence Chain is a security audit record that preserves how security evidence was collected and handled for user and workload identity. It uses timestamps, hashes, owners, and storage controls so teams can support trustworthy investigation while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The security team used Identity Evidence Chain when a service account requested access, so the team could support trustworthy investigation before the risk review began.”
Borrador de traduccion automatica (Spanish) for "Secret Build Gate": Secret Build Gate is a devops quality gate that blocks promotion when required checks fail for credential and sensitive configuration. 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.
“Ejemplo en borrador: The DevOps team used Secret Build Gate when a token rotated, so the team could prevent broken releases before the deployment window opened.”
Borrador de traduccion automatica (Spanish) for "Observability Approval Step": Observability Approval Step is a devops workflow control that requires review before a sensitive change proceeds for logs, metrics, traces, and events. 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.
“Ejemplo en borrador: The DevOps team used Observability Approval Step when latency increased after deploy, so the team could keep high-risk automation accountable before the deployment window opened.”
Borrador de traduccion automatica (Spanish) for "Fine-Tuning Bias Audit": Fine-Tuning Bias Audit is a ml review process that looks for uneven model behavior across groups or segments for adaptation of a model to a domain. 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.
“Ejemplo en borrador: The machine learning team used Fine-Tuning Bias Audit when the fine-tuning run used curated examples, so the team could surface fairness risks before the model moved into evaluation.”
Borrador de traduccion automatica (Spanish) for "TLS Anycast Endpoint": TLS Anycast Endpoint is a networking routing pattern that advertises one address from multiple locations for encrypted transport setup. 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.
“Ejemplo en borrador: The network engineering team used TLS Anycast Endpoint when a certificate neared expiration, so the team could serve users from nearby healthy sites before traffic crossed a service boundary.”