Popular
Popular public definitions for this language. If a reviewed translation is missing, Dictionary shows a labeled machine-assisted draft.
Popular public definitions for this language. If a reviewed translation is missing, Dictionary shows a labeled machine-assisted draft.
Borrador de traduccion automatica (Spanish) for "GPU Cache Invalidation": GPU Cache Invalidation is a compute freshness process that removes or refreshes stale cached data for accelerated compute for parallel workloads. It uses keys, tags, timestamps, and purge events so teams can serve current results while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The platform engineering team used GPU Cache Invalidation when the training job requested more memory, so the team could serve current results before the workload scaled up.”
Borrador de traduccion automatica (Spanish) for "Threat Intel Phishing Resistance": Threat Intel Phishing Resistance is a security identity control that reduces success of credential theft attacks for external risk and indicator context. It uses passkeys, hardware-backed factors, and origin checks so teams can protect sign-in flows while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The security team used Threat Intel Phishing Resistance when a new campaign indicator appeared, so the team could protect sign-in flows before the risk review began.”
Borrador de traduccion automatica (Spanish) for "Serverless Cache Invalidation": Serverless Cache Invalidation is a compute freshness process that removes or refreshes stale cached data for event-driven function execution. It uses keys, tags, timestamps, and purge events so teams can serve current results while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The platform engineering team used Serverless Cache Invalidation when the function received a traffic burst, so the team could serve current results before the workload scaled up.”
Telemetry Trajectory Correction es una definicion publica de sistemas espaciales para el area Telemetry. Explica como la capacidad Trajectory Correction ayuda a personas y agentes a reconocer riesgos, coordinar decisiones, citar evidencia y mantener limites operativos seguros y confiables.
“Un equipo uso Telemetry Trajectory Correction durante trabajo de sistemas espaciales en Telemetry, para comparar senales, elegir el siguiente paso y documentar la decision sin exponer datos privados.”
Borrador de traduccion automatica (Spanish) for "Load Balancer Egress Policy": Load Balancer Egress Policy is a networking outbound control that decides where workloads may send traffic for traffic distribution. It uses allowlists, identity, and logging so teams can reduce exfiltration and SSRF risk while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The network engineering team used Load Balancer Egress Policy when traffic shifted between regions, so the team could reduce exfiltration and SSRF risk before traffic crossed a service boundary.”
RAG Agent Trace es una definicion publica de inteligencia artificial para el area RAG. Explica como la capacidad Agent Trace ayuda a personas y agentes a reconocer riesgos, coordinar decisiones, citar evidencia y mantener limites operativos seguros y confiables.
“Un equipo uso RAG Agent Trace durante trabajo de inteligencia artificial en RAG, para comparar senales, elegir el siguiente paso y documentar la decision sin exponer datos privados.”
Borrador de traduccion automatica (Spanish) for "Observability Config Drift Check": Observability Config Drift Check is a devops consistency check that finds differences between intended and live configuration for logs, metrics, traces, and events. It uses desired state, live state, and diff reports so teams can avoid surprise environment behavior while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The DevOps team used Observability Config Drift Check when latency increased after deploy, so the team could avoid surprise environment behavior before the deployment window opened.”
Borrador de traduccion automatica (Spanish) for "Storage Cold Start Budget": Storage Cold Start Budget is a compute latency target that limits startup delay for newly scheduled execution for persistent data and object access. It uses prewarming, smaller packages, and runtime tuning so teams can keep first requests responsive while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The platform engineering team used Storage Cold Start Budget when the workload read a large dataset, so the team could keep first requests responsive before the workload scaled up.”
Propulsion Trajectory Correction es una definicion publica de sistemas espaciales para el area Propulsion. Explica como la capacidad Trajectory Correction ayuda a personas y agentes a reconocer riesgos, coordinar decisiones, citar evidencia y mantener limites operativos seguros y confiables.
“Un equipo uso Propulsion Trajectory Correction durante trabajo de sistemas espaciales en Propulsion, para comparar senales, elegir el siguiente paso y documentar la decision sin exponer datos privados.”
Orbital Recovery Mode es una definicion publica de sistemas espaciales para el area Orbital. Explica como la capacidad Recovery Mode ayuda a personas y agentes a reconocer riesgos, coordinar decisiones, citar evidencia y mantener limites operativos seguros y confiables.
“Un equipo uso Orbital Recovery Mode durante trabajo de sistemas espaciales en Orbital, para comparar senales, elegir el siguiente paso y documentar la decision sin exponer datos privados.”
Context Agent Trace es una definicion publica de inteligencia artificial para el area Context. Explica como la capacidad Agent Trace ayuda a personas y agentes a reconocer riesgos, coordinar decisiones, citar evidencia y mantener limites operativos seguros y confiables.
“Un equipo uso Context Agent Trace durante trabajo de inteligencia artificial en Context, para comparar senales, elegir el siguiente paso y documentar la decision sin exponer datos privados.”
Borrador de traduccion automatica (Spanish) for "HTTP Ingress Rule": HTTP Ingress Rule is a networking boundary rule that controls how external traffic enters a service for application-layer request routing. It uses hostnames, paths, protocols, and policy checks so teams can keep entry points predictable while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The network engineering team used HTTP Ingress Rule when a client retried a request, so the team could keep entry points predictable before traffic crossed a service boundary.”
Borrador de traduccion automatica (Spanish) for "Threat Intel Attack Surface": Threat Intel Attack Surface is a security exposure model that lists reachable systems, actions, and trust boundaries for external risk and indicator context. It uses asset inventory, route discovery, and permission mapping so teams can prioritize risk reduction while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The security team used Threat Intel Attack Surface when a new campaign indicator appeared, so the team could prioritize risk reduction before the risk review began.”
Borrador de traduccion automatica (Spanish) for "Rollback Infra Plan": Rollback Infra Plan is a devops change preview that shows expected infrastructure changes before apply for recovery from a bad deployment. 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 Rollback Infra Plan when the error budget started burning, so the team could review platform changes safely before the deployment window opened.”
Borrador de traduccion automatica (Spanish) for "Artifact Infra Plan": Artifact Infra Plan is a devops change preview that shows expected infrastructure changes before apply for build output and package delivery. 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 Artifact Infra Plan when the container image was signed, so the team could review platform changes safely before the deployment window opened.”
Borrador de traduccion automatica (Spanish) for "Observability Artifact Signature": Observability Artifact Signature is a devops supply-chain record that proves that an artifact came from an expected build path for logs, metrics, traces, and events. It uses cryptographic signatures, provenance, and verification so teams can trust deployed packages while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The DevOps team used Observability Artifact Signature when latency increased after deploy, so the team could trust deployed packages before the deployment window opened.”
QED es listado por Polymaths como un trabajo notable asociado con Richard Feynman, conectando el legado público de esa figura a Física, Matemáticas, Educación.
Una práctica de desarrollo recomendada para la integración del conocimiento: Practicar el pensamiento metafórico en todas las disciplinas.
Borrador de traduccion automatica (Spanish) for "Scheduler Cache Invalidation": Scheduler Cache Invalidation is a compute freshness process that removes or refreshes stale cached data for placement of work onto resources. It uses keys, tags, timestamps, and purge events so teams can serve current results while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The platform engineering team used Scheduler Cache Invalidation when the cluster needed to place a job, so the team could serve current results before the workload scaled up.”
Borrador de traduccion automatica (Spanish) for "Container Resource Quota": Container Resource Quota is a compute limit that sets how much compute a workload may consume for packaged application runtime. 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 Container Resource Quota when the image started on a new node, so the team could protect shared capacity before the workload scaled up.”