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 "Rollback Rollout Guard": Rollback Rollout Guard is a devops release control that limits exposure during gradual deployment for recovery from a bad deployment. 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.
“Exemplo em rascunho: The DevOps team used Rollback Rollout Guard when the error budget started burning, so the team could reduce blast radius before the deployment window opened.”
Rascunho de traducao automatica (Portuguese) for "Memory Tool Permission": Memory Tool Permission is a ai access control that decides which tools an AI workflow may call for persistent or session-level AI state. It uses operation allowlists, user intent checks, and protected-action gates so teams can block unsafe automation while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemplo em rascunho: The AI platform team used Memory Tool Permission when the assistant reused earlier project context, so the team could block unsafe automation before the agent workflow reached production.”
Rascunho de traducao automatica (Portuguese) for "Tool Call Fallback Path": Tool Call Fallback Path is a ai resilience pattern that keeps an AI feature useful when a provider or tool is unavailable for model-triggered calls into software systems. It uses degraded states, deterministic responses, and operator notices so teams can avoid fake AI success while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemplo em rascunho: The AI platform team used Tool Call Fallback Path when the assistant requested a protected operation, so the team could avoid fake AI success before the agent workflow reached production.”
Rascunho de traducao automatica (Portuguese) for "Ground Station Thermal Margin": Ground Station Thermal Margin is a space safety metric that tracks how much temperature headroom remains before a component exceeds limits for antenna, scheduling, and downlink operations. 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 Ground Station Thermal Margin when the antenna handoff began, so the team could protect hardware during changing conditions before the next mission decision point.”
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 Secret Rotation": CI Secret Rotation is a devops credential workflow that replaces sensitive keys without service interruption for continuous integration workflows. It uses dual credentials, rollout steps, and revocation so teams can reduce credential exposure while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemplo em rascunho: The DevOps team used CI Secret Rotation when a pull request entered the build queue, so the team could reduce credential exposure before the deployment window opened.”
Rascunho de traducao automatica (Portuguese) for "Serverless Checkpoint Restore": Serverless Checkpoint Restore is a compute recovery workflow that resumes work from a saved state for event-driven function execution. It uses snapshots, state files, and integrity checks so teams can recover long-running work while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemplo em rascunho: The platform engineering team used Serverless Checkpoint Restore when the function received a traffic burst, so the team could recover long-running work before the workload scaled up.”
Rascunho de traducao automatica (Portuguese) for "Scheduler Backpressure Control": Scheduler Backpressure Control is a compute stability pattern that slows incoming work when downstream capacity is limited for placement of work onto resources. It uses queues, retry budgets, and admission control so teams can avoid overload cascades while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemplo em rascunho: The platform engineering team used Scheduler Backpressure Control when the cluster needed to place a job, so the team could avoid overload cascades before the workload scaled up.”
Rascunho de traducao automatica (Portuguese) for "Embedding Bias Audit": Embedding Bias Audit is a ml review process that looks for uneven model behavior across groups or segments for vector representation of content or entities. 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.
“Exemplo em rascunho: The machine learning team used Embedding Bias Audit when the embedding index changed, so the team could surface fairness risks before the model moved into evaluation.”
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 "Guardrail Citation Builder": Guardrail Citation Builder is a ai attribution helper that formats source links and evidence for an AI answer for policy controls around model input and output. It uses canonical URLs, source titles, and quote limits so teams can make generated answers citeable while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemplo em rascunho: The AI platform team used Guardrail Citation Builder when the model tried to include private context, so the team could make generated answers citeable before the agent workflow reached production.”
Rascunho de traducao automatica (Portuguese) for "VPN Certificate Monitor": VPN Certificate Monitor is a networking security monitor that tracks certificate validity and configuration for private tunnel connectivity. It uses expiry checks, chain validation, and alerting so teams can avoid trust failures while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemplo em rascunho: The network engineering team used VPN Certificate Monitor when a remote user connected, so the team could avoid trust failures before traffic crossed a service boundary.”
Rascunho de traducao automatica (Portuguese) for "Context Tool Permission": Context Tool Permission is a ai access control that decides which tools an AI workflow may call for runtime memory and retrieved information. It uses operation allowlists, user intent checks, and protected-action gates so teams can block unsafe automation while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemplo em rascunho: The AI platform team used Context Tool Permission when the context window filled with mixed sources, so the team could block unsafe automation before the agent workflow reached production.”
Rascunho de traducao automatica (Portuguese) for "Memory Response Schema": Memory Response Schema is a ai output contract that requires model output to match a known structure for persistent or session-level AI state. 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 Memory Response Schema when the assistant reused earlier project context, so the team could make responses machine-readable before the agent workflow reached production.”
Rascunho de traducao automatica (Portuguese) for "Persistent Dedication Development Practice: Join communities for accountability and": A recommended development practice for Persistent Dedication: Join communities for accountability and support.
“Exemplo em rascunho: Polymaths recommends this practice as a concrete way to build persistent dedication.”
Rascunho de traducao automatica (Portuguese) for "Virtual Machine Autoscaling Policy": Virtual Machine Autoscaling Policy is a compute control loop that changes capacity based on demand signals for isolated guest compute. It uses metrics, thresholds, and cooldowns so teams can match resources to load while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemplo em rascunho: The platform engineering team used Virtual Machine Autoscaling Policy when the VM migrated hosts, so the team could match resources to load before the workload scaled up.”
Rascunho de traducao automatica (Portuguese) for "Memory Context Contract": Memory Context Contract is a ai interface contract that defines what context may be passed into a model call for persistent or session-level AI state. 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 Memory Context Contract when the assistant reused earlier project context, so the team could keep model inputs relevant and safe before the agent workflow reached production.”
Rascunho de traducao automatica (Portuguese) for "Label Drift Monitor": Label Drift Monitor is a ml monitor that detects when data or predictions no longer match the training baseline for ground-truth or weak-supervision annotation. It uses statistical tests, time windows, and alert thresholds so teams can respond before quality drops while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemplo em rascunho: The machine learning team used Label Drift Monitor when the label set had disagreement, so the team could respond before quality drops before the model moved into evaluation.”
Rascunho de traducao automatica (Portuguese) for "Rollback Artifact Signature": Rollback Artifact Signature is a devops supply-chain record that proves that an artifact came from an expected build path for recovery from a bad deployment. 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 Rollback Artifact Signature when the error budget started burning, so the team could trust deployed packages before the deployment window opened.”
Rascunho de traducao automatica (Portuguese) for "Firewall Health Probe": Firewall Health Probe is a networking availability check that tests whether a service or path can receive traffic for network traffic filtering. 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.
“Exemplo em rascunho: The network engineering team used Firewall Health Probe when a new rule matched traffic, so the team could send traffic only to healthy targets before traffic crossed a service boundary.”