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.
Automatischer Uebersetzungsentwurf (German) 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.
“Beispielentwurf: 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.”
Automatischer Uebersetzungsentwurf (German) for "Metric Drift Monitor": Metric Drift Monitor is a ml monitor that detects when data or predictions no longer match the training baseline for measurement of model behavior. 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.
“Beispielentwurf: The machine learning team used Metric Drift Monitor when the metric changed after data cleanup, so the team could respond before quality drops before the model moved into evaluation.”
Automatischer Uebersetzungsentwurf (German) 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.
“Beispielentwurf: The DevOps team used Secret Rollout Guard when a token rotated, so the team could reduce blast radius before the deployment window opened.”
Automatischer Uebersetzungsentwurf (German) for "Service Mesh Packet Capture": Service Mesh Packet Capture is a networking diagnostic artifact that records network packets for analysis for east-west service communication. 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.
“Beispielentwurf: The network engineering team used Service Mesh Packet Capture when a service called another service, so the team could investigate protocol behavior safely before traffic crossed a service boundary.”
Automatischer Uebersetzungsentwurf (German) for "Environment Approval Step": Environment Approval Step is a devops workflow control that requires review before a sensitive change proceeds for configuration for a runtime stage. 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.
“Beispielentwurf: The DevOps team used Environment Approval Step when staging and production drifted, so the team could keep high-risk automation accountable before the deployment window opened.”
Automatischer Uebersetzungsentwurf (German) for "Vector Drift Monitor": Vector Drift Monitor is a ml monitor that detects when data or predictions no longer match the training baseline for numeric representation and similarity search. 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.
“Beispielentwurf: The machine learning team used Vector Drift Monitor when the vector store returned close matches, so the team could respond before quality drops before the model moved into evaluation.”
Automatischer Uebersetzungsentwurf (German) 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.
“Beispielentwurf: The DevOps team used Secret Build Gate when a token rotated, so the team could prevent broken releases before the deployment window opened.”
Automatischer Uebersetzungsentwurf (German) 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.
“Beispielentwurf: 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.”
Automatischer Uebersetzungsentwurf (German) 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.
“Beispielentwurf: 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.”
Automatischer Uebersetzungsentwurf (German) for "GPU Autoscaling Policy": GPU Autoscaling Policy is a compute control loop that changes capacity based on demand signals for accelerated compute for parallel workloads. It uses metrics, thresholds, and cooldowns so teams can match resources to load while keeping evidence, reliability, and public-safe operational boundaries clear.
“Beispielentwurf: The platform engineering team used GPU Autoscaling Policy when the training job requested more memory, so the team could match resources to load before the workload scaled up.”
Automatischer Uebersetzungsentwurf (German) for "HTTP Failover Policy": HTTP Failover Policy is a networking resilience policy that defines when traffic should move to another path or region for application-layer request routing. It uses health signals, priorities, and cooldown windows so teams can recover from outages predictably while keeping evidence, reliability, and public-safe operational boundaries clear.
“Beispielentwurf: The network engineering team used HTTP Failover Policy when a client retried a request, so the team could recover from outages predictably before traffic crossed a service boundary.”
Automatischer Uebersetzungsentwurf (German) for "Release Release Manifest": Release Release Manifest is a devops delivery record that lists versions, artifacts, routes, and checks for a release for versioned delivery of code or content. It uses commit IDs, checksums, and deployment URLs so teams can make releases auditable while keeping evidence, reliability, and public-safe operational boundaries clear.
“Beispielentwurf: The DevOps team used Release Release Manifest when the release notes were generated, so the team could make releases auditable before the deployment window opened.”
Automatischer Uebersetzungsentwurf (German) for "Artifact Runbook Check": Artifact Runbook Check is a devops operational test that confirms that documented procedures still work for build output and package delivery. 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.
“Beispielentwurf: The DevOps team used Artifact Runbook Check when the container image was signed, so the team could keep response playbooks current before the deployment window opened.”
Automatischer Uebersetzungsentwurf (German) for "Label Training Checkpoint": Label Training Checkpoint is a ml recovery artifact that saves model state during learning for ground-truth or weak-supervision annotation. 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.
“Beispielentwurf: The machine learning team used Label Training Checkpoint when the label set had disagreement, so the team could resume or inspect training safely before the model moved into evaluation.”
Automatischer Uebersetzungsentwurf (German) 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.
“Beispielentwurf: 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.”
Automatischer Uebersetzungsentwurf (German) for "Model Grounding Check": Model Grounding Check is a ai quality control that verifies that generated answers are backed by available sources for foundation model behavior and serving. 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.
“Beispielentwurf: The AI platform team used Model Grounding Check when the model produced a low-confidence answer, so the team could reduce unsupported claims before the agent workflow reached production.”
Automatischer Uebersetzungsentwurf (German) for "Routing Agent Trace": Routing Agent Trace is a ai observability record that captures the steps an AI workflow took for selection among models, tools, and workflows. 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.
“Beispielentwurf: The AI platform team used Routing Agent Trace when the router selected a cheaper model, so the team could debug agent behavior without exposing secrets before the agent workflow reached production.”
Automatischer Uebersetzungsentwurf (German) for "DNS Rate Limit": DNS Rate Limit is a networking traffic control that caps request volume over a period for name resolution and delegation. It uses identity keys, windows, and response policies so teams can protect services from overload while keeping evidence, reliability, and public-safe operational boundaries clear.
“Beispielentwurf: The network engineering team used DNS Rate Limit when a resolver returned stale data, so the team could protect services from overload before traffic crossed a service boundary.”
Automatischer Uebersetzungsentwurf (German) for "GPU Image Hardening": GPU Image Hardening is a compute security practice that reduces risk inside packaged runtime images for accelerated compute for parallel workloads. It uses minimal bases, patching, and vulnerability checks so teams can ship safer workloads while keeping evidence, reliability, and public-safe operational boundaries clear.
“Beispielentwurf: The platform engineering team used GPU Image Hardening when the training job requested more memory, so the team could ship safer workloads before the workload scaled up.”
Automatischer Uebersetzungsentwurf (German) for "Fetish": A: handcrafted object of spiritual significance that is believed to have the power to protect or aid its owner B: Sexual fixation
“Beispielentwurf: The original Barbie doll was a German fetish toy sold to men Anything activity an attractive woman does is someone's fetish, a nuisance for the most skilled women to be boiled down to an object of desire”