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.
Rascunho de traducao automatica (Portuguese) for "Firewall Packet Capture": Firewall Packet Capture is a networking diagnostic artifact that records network packets for analysis for network traffic filtering. 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.
“Exemplo em rascunho: The network engineering team used Firewall Packet Capture when a new rule matched traffic, so the team could investigate protocol behavior safely before traffic crossed a service boundary.”
Rascunho de traducao automatica (Portuguese) for "Secret Runbook Check": Secret Runbook Check is a devops operational test that confirms that documented procedures still work for credential and sensitive configuration. It uses dry runs, screenshots, and command validation so teams can keep response playbooks current while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemplo em rascunho: The DevOps team used Secret Runbook Check when a token rotated, so the team could keep response playbooks current before the deployment window opened.”
Rascunho de traducao automatica (Portuguese) for "RAG Instruction Boundary": RAG Instruction Boundary is a ai policy boundary that separates durable system instructions from user-provided content for retrieval-augmented generation pipelines. 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.
“Exemplo em rascunho: The AI platform team used RAG Instruction Boundary when the retriever mixed old and new documents, so the team could avoid instruction confusion before the agent workflow reached production.”
Rascunho de traducao automatica (Portuguese) 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.
“Exemplo em rascunho: 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.”
Rascunho de traducao automatica (Portuguese) for "Storage Placement Strategy": Storage Placement Strategy is a compute scheduling rule that chooses where workloads should run for persistent data and object access. 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.
“Exemplo em rascunho: The platform engineering team used Storage Placement Strategy when the workload read a large dataset, so the team could improve reliability and efficiency before the workload scaled up.”
Rascunho de traducao automatica (Portuguese) for "TLS Route Leak Guard": TLS Route Leak Guard is a networking routing control that detects and blocks accidental route propagation for encrypted transport setup. It uses prefix filters, validation, and peer policy so teams can protect reachability while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemplo em rascunho: The network engineering team used TLS Route Leak Guard when a certificate neared expiration, so the team could protect reachability before traffic crossed a service boundary.”
Rascunho de traducao automatica (Portuguese) for "RAG Response Schema": RAG Response Schema is a ai output contract that requires model output to match a known structure for retrieval-augmented generation pipelines. It uses JSON schemas, validators, retries, and error reporting so teams can make responses machine-readable while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemplo em rascunho: The AI platform team used RAG Response Schema when the retriever mixed old and new documents, so the team could make responses machine-readable before the agent workflow reached production.”
Rascunho de traducao automatica (Portuguese) for "Navigation Thermal Margin": Navigation Thermal Margin is a space safety metric that tracks how much temperature headroom remains before a component exceeds limits for position, timing, and trajectory services. It uses sensor data, heat models, and operational constraints so teams can protect hardware during changing conditions while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemplo em rascunho: The mission team used Navigation Thermal Margin when the navigation solution was updated, so the team could protect hardware during changing conditions before the next mission decision point.”
Rascunho de traducao automatica (Portuguese) for "Learned helplessness": Learned helplessness is the behavior exhibited by a subject after enduring repeated aversive stimuli beyond their control. In humans, learned helplessness is related to the concept of self-efficacy, the individual's belief in their innate ability to achieve goals.
“Exemplo em rascunho: Some brilliant people have their contribution to the sum of all knowledge revoked/ denied and self inforced by learned helplessness. As with all things, it can be unlearned”
Rascunho de traducao automatica (Portuguese) for "Telemetry Radiation Shielding": Telemetry Radiation Shielding is a space design control that reduces exposure from charged particles and solar events for spacecraft health and performance monitoring. It uses material selection, safe modes, and exposure modeling so teams can protect electronics and crews from known hazards while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemplo em rascunho: The mission team used Telemetry Radiation Shielding when the telemetry stream showed unexpected drift, so the team could protect electronics and crews from known hazards before the next mission decision point.”
Rascunho de traducao automatica (Portuguese) 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.
“Exemplo em rascunho: 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.”
Rascunho de traducao automatica (Portuguese) for "Mission Control Thermal Margin": Mission Control Thermal Margin is a space safety metric that tracks how much temperature headroom remains before a component exceeds limits for flight control room coordination. It uses sensor data, heat models, and operational constraints so teams can protect hardware during changing conditions while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemplo em rascunho: The mission team used Mission Control Thermal Margin when the operations console detected a constraint, so the team could protect hardware during changing conditions before the next mission decision point.”
Rascunho de traducao automatica (Portuguese) for "Navigation Attitude Control": Navigation Attitude Control is a space subsystem that keeps a spacecraft pointed correctly for power, thermal safety, communication, or science for position, timing, and trajectory services. It uses sensors, reaction wheels, thrusters, and control laws so teams can maintain pointing without exceeding constraints while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemplo em rascunho: The mission team used Navigation Attitude Control when the navigation solution was updated, so the team could maintain pointing without exceeding constraints before the next mission decision point.”
Rascunho de traducao automatica (Portuguese) for "Secrets Containment Plan": Secrets Containment Plan is a security response plan that limits damage after a suspected compromise for keys, tokens, and credentials. It uses isolation steps, credential rotation, and communication paths so teams can reduce attacker dwell time while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemplo em rascunho: The security team used Secrets Containment Plan when a secret appeared in logs, so the team could reduce attacker dwell time before the risk review began.”
Rascunho de traducao automatica (Portuguese) 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.
“Exemplo em rascunho: 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.”
Rascunho de traducao automatica (Portuguese) for "Alignment Model Router": Alignment Model Router is a ai selection service that chooses the best model or provider for a task for model behavior shaping and policy fit. 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.
“Exemplo em rascunho: The AI platform team used Alignment Model Router when the assistant needed a safer answer style, so the team could match work to the right model before the agent workflow reached production.”
Rascunho de traducao automatica (Portuguese) for "Tool Call Grounding Check": Tool Call Grounding Check is a ai quality control that verifies that generated answers are backed by available sources for model-triggered calls into software systems. 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.
“Exemplo em rascunho: The AI platform team used Tool Call Grounding Check when the assistant requested a protected operation, so the team could reduce unsupported claims before the agent workflow reached production.”
Rascunho de traducao automatica (Portuguese) 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.
“Exemplo em rascunho: 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.”
Rascunho de traducao automatica (Portuguese) for "Experiment Training Checkpoint": Experiment Training Checkpoint is a ml recovery artifact that saves model state during learning for controlled model comparison. It uses weights, optimizer state, and run metadata so teams can resume or inspect training safely while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemplo em rascunho: The machine learning team used Experiment Training Checkpoint when the experiment showed a metric tradeoff, so the team could resume or inspect training safely before the model moved into evaluation.”
Rascunho de traducao automatica (Portuguese) for "Guardrail Context Contract": Guardrail Context Contract is a ai interface contract that defines what context may be passed into a model call for policy controls around model input and output. It uses schemas, redaction rules, source labels, and token budgets so teams can keep model inputs relevant and safe while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemplo em rascunho: The AI platform team used Guardrail Context Contract when the model tried to include private context, so the team could keep model inputs relevant and safe before the agent workflow reached production.”