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.
Brouillon de traduction automatique (French) for "Navigation Trajectory Correction": Navigation Trajectory Correction is a space maneuver process that adjusts a planned flight path after navigation updates or mission changes for position, timing, and trajectory services. It uses delta-v estimates, burn timing, and post-maneuver validation so teams can reduce path error before it grows while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemple en brouillon: The mission team used Navigation Trajectory Correction when the navigation solution was updated, so the team could reduce path error before it grows before the next mission decision point.”
Brouillon de traduction automatique (French) for "Serverless Capacity Forecast": Serverless Capacity Forecast is a compute planning model that estimates future resource needs for event-driven function execution. 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.
“Exemple en brouillon: The platform engineering team used Serverless Capacity Forecast when the function received a traffic burst, so the team could avoid surprise shortages before the workload scaled up.”
Brouillon de traduction automatique (French) for "Edge Runtime Profile": Edge Runtime Profile is a compute performance record that shows how code uses CPU, memory, I/O, and time for globally distributed runtime. It uses sampling, traces, and resource metrics so teams can target optimization work while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemple en brouillon: The platform engineering team used Edge Runtime Profile when the request arrived near a user, so the team could target optimization work before the workload scaled up.”
Brouillon de traduction automatique (French) for "Edge Resource Quota": Edge Resource Quota is a compute limit that sets how much compute a workload may consume for globally distributed runtime. It uses policy, reservations, and usage tracking so teams can protect shared capacity while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemple en brouillon: The platform engineering team used Edge Resource Quota when the request arrived near a user, so the team could protect shared capacity before the workload scaled up.”
Brouillon de traduction automatique (French) for "Routing Instruction Boundary": Routing Instruction Boundary is a ai policy boundary that separates durable system instructions from user-provided content for selection among models, tools, and workflows. It uses role labels, precedence rules, and prompt assembly checks so teams can avoid instruction confusion while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemple en brouillon: The AI platform team used Routing Instruction Boundary when the router selected a cheaper model, so the team could avoid instruction confusion before the agent workflow reached production.”
Brouillon de traduction automatique (French) for "Lunar Ephemeris Service": Lunar Ephemeris Service is a space data service that publishes precise position and velocity data for mission planning for Moon surface and cislunar mission operations. It uses orbit determination, time standards, and versioned trajectory products so teams can align navigation, communications, and safety analysis while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemple en brouillon: The mission team used Lunar Ephemeris Service when the lander crossed into a polar shadow region, so the team could align navigation, communications, and safety analysis before the next mission decision point.”
Brouillon de traduction automatique (French) for "Storage Autoscaling Policy": Storage Autoscaling Policy is a compute control loop that changes capacity based on demand signals for persistent data and object access. It uses metrics, thresholds, and cooldowns so teams can match resources to load while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemple en brouillon: The platform engineering team used Storage Autoscaling Policy when the workload read a large dataset, so the team could match resources to load before the workload scaled up.”
Brouillon de traduction automatique (French) for "Service Mesh Health Probe": Service Mesh Health Probe is a networking availability check that tests whether a service or path can receive traffic for east-west service communication. It uses timed requests, thresholds, and regional checks so teams can send traffic only to healthy targets while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemple en brouillon: The network engineering team used Service Mesh Health Probe when a service called another service, so the team could send traffic only to healthy targets before traffic crossed a service boundary.”
Brouillon de traduction automatique (French) for "Ground Station Ephemeris Service": Ground Station Ephemeris Service is a space data service that publishes precise position and velocity data for mission planning for antenna, scheduling, and downlink operations. It uses orbit determination, time standards, and versioned trajectory products so teams can align navigation, communications, and safety analysis while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemple en brouillon: The mission team used Ground Station Ephemeris Service when the antenna handoff began, so the team could align navigation, communications, and safety analysis before the next mission decision point.”
Brouillon de traduction automatique (French) for "Memory Placement Strategy": Memory Placement Strategy is a compute scheduling rule that chooses where workloads should run for volatile runtime storage. It uses affinity, topology, availability, and cost signals so teams can improve reliability and efficiency while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemple en brouillon: The platform engineering team used Memory Placement Strategy when the process approached its memory limit, so the team could improve reliability and efficiency before the workload scaled up.”
Brouillon de traduction automatique (French) for "CI Artifact Signature": CI Artifact Signature is a devops supply-chain record that proves that an artifact came from an expected build path for continuous integration workflows. It uses cryptographic signatures, provenance, and verification so teams can trust deployed packages while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemple en brouillon: The DevOps team used CI Artifact Signature when a pull request entered the build queue, so the team could trust deployed packages before the deployment window opened.”
Brouillon de traduction automatique (French) for "Secrets Abuse Throttle": Secrets Abuse Throttle is a security anti-abuse control that slows or blocks suspicious repeated behavior for keys, tokens, and credentials. It uses rate limits, reputation signals, and challenge steps so teams can protect public access without a login wall while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemple en brouillon: The security team used Secrets Abuse Throttle when a secret appeared in logs, so the team could protect public access without a login wall before the risk review began.”
Brouillon de traduction automatique (French) for "Secrets Attack Surface": Secrets Attack Surface is a security exposure model that lists reachable systems, actions, and trust boundaries for keys, tokens, and credentials. 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.
“Exemple en brouillon: The security team used Secrets Attack Surface when a secret appeared in logs, so the team could prioritize risk reduction before the risk review began.”
Brouillon de traduction automatique (French) for "Threat Intel Evidence Chain": Threat Intel Evidence Chain is a security audit record that preserves how security evidence was collected and handled for external risk and indicator context. It uses timestamps, hashes, owners, and storage controls so teams can support trustworthy investigation while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemple en brouillon: The security team used Threat Intel Evidence Chain when a new campaign indicator appeared, so the team could support trustworthy investigation before the risk review began.”
Brouillon de traduction automatique (French) 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.
“Exemple en brouillon: 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.”
Brouillon de traduction automatique (French) for "Supply Chain Attack Surface": Supply Chain Attack Surface is a security exposure model that lists reachable systems, actions, and trust boundaries for dependencies, builds, and artifacts. 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.
“Exemple en brouillon: The security team used Supply Chain Attack Surface when a package update arrived, so the team could prioritize risk reduction before the risk review began.”
Brouillon de traduction automatique (French) for "DNS Packet Capture": DNS Packet Capture is a networking diagnostic artifact that records network packets for analysis for name resolution and delegation. 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.
“Exemple en brouillon: The network engineering team used DNS Packet Capture when a resolver returned stale data, so the team could investigate protocol behavior safely before traffic crossed a service boundary.”
Brouillon de traduction automatique (French) for "Navigation Autonomy Stack": Navigation Autonomy Stack is a space software layer that lets spacecraft or ground tools make bounded decisions when direct human control is delayed for position, timing, and trajectory services. It uses rules, state machines, onboard checks, and fail-safe limits so teams can handle latency without losing accountability while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemple en brouillon: The mission team used Navigation Autonomy Stack when the navigation solution was updated, so the team could handle latency without losing accountability before the next mission decision point.”
Brouillon de traduction automatique (French) for "Inference Agent Trace": Inference Agent Trace is a ai observability record that captures the steps an AI workflow took for model execution for user or system requests. It uses trace identifiers, tool events, and redacted metadata so teams can debug agent behavior without exposing secrets while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemple en brouillon: The AI platform team used Inference Agent Trace when the inference route moved to a faster region, so the team could debug agent behavior without exposing secrets before the agent workflow reached production.”
Brouillon de traduction automatique (French) for "Latency Traffic Shaper": Latency Traffic Shaper is a networking control mechanism that limits or prioritizes flows across links for time between request and response. 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.
“Exemple en brouillon: The network engineering team used Latency Traffic Shaper when a user saw slow responses, so the team could protect important traffic before traffic crossed a service boundary.”