Define the new internet.
Look up the words people use online, add the ones we missed, and help make the internet easier to understand.
Look up the words people use online, add the ones we missed, and help make the internet easier to understand.
2,337 definitions
기계 지원 번역 초안 (Korean) for "CI Approval Step": CI Approval Step is a devops workflow control that requires review before a sensitive change proceeds for continuous integration workflows. 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.
“예문 초안: The DevOps team used CI Approval Step when a pull request entered the build queue, so the team could keep high-risk automation accountable before the deployment window opened.”
기계 지원 번역 초안 (Korean) for "Pipeline Embedding Refresh": Pipeline Embedding Refresh is a ml index workflow that updates vector representations after source data changes for automated data and model workflow. It uses batch jobs, backfills, and index validation so teams can keep retrieval results current while keeping evidence, reliability, and public-safe operational boundaries clear.
“예문 초안: The machine learning team used Pipeline Embedding Refresh when the pipeline missed a validation step, so the team could keep retrieval results current before the model moved into evaluation.”
기계 지원 번역 초안 (Korean) for "CD Approval Step": CD Approval Step is a devops workflow control that requires review before a sensitive change proceeds for deployment automation and promotion. 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.
“예문 초안: The DevOps team used CD Approval Step when the release moved toward production, so the team could keep high-risk automation accountable before the deployment window opened.”
기계 지원 번역 초안 (Korean) for "Environment Rollout Guard": Environment Rollout Guard is a devops release control that limits exposure during gradual deployment for configuration for a runtime stage. 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.
“예문 초안: The DevOps team used Environment Rollout Guard when staging and production drifted, so the team could reduce blast radius before the deployment window opened.”
기계 지원 번역 초안 (Korean) for "Metric Training Checkpoint": Metric Training Checkpoint is a ml recovery artifact that saves model state during learning for measurement of model behavior. 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.
“예문 초안: The machine learning team used Metric Training Checkpoint when the metric changed after data cleanup, so the team could resume or inspect training safely before the model moved into evaluation.”
기계 지원 번역 초안 (Korean) for "Rollback Runbook Check": Rollback Runbook Check is a devops operational test that confirms that documented procedures still work for recovery from a bad deployment. 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.
“예문 초안: The DevOps team used Rollback Runbook Check when the error budget started burning, so the team could keep response playbooks current before the deployment window opened.”
기계 지원 번역 초안 (Korean) for "Canary Release Manifest": Canary Release Manifest is a devops delivery record that lists versions, artifacts, routes, and checks for a release for small-scope production rollout. It uses commit IDs, checksums, and deployment URLs so teams can make releases auditable while keeping evidence, reliability, and public-safe operational boundaries clear.
“예문 초안: The DevOps team used Canary Release Manifest when the first traffic slice received the build, so the team could make releases auditable before the deployment window opened.”
기계 지원 번역 초안 (Korean) for "Pipeline Provenance Ledger": Pipeline Provenance Ledger is a ml record that tracks where data came from and how it changed for automated data and model workflow. 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.
“예문 초안: The machine learning team used Pipeline Provenance Ledger when the pipeline missed a validation step, so the team could audit model inputs reliably before the model moved into evaluation.”
기계 지원 번역 초안 (Korean) for "Metric Model Card": Metric Model Card is a ml documentation artifact that summarizes intended use, limits, and evaluation evidence for measurement of model behavior. It uses dataset notes, metric tables, and risk statements so teams can publish model behavior honestly while keeping evidence, reliability, and public-safe operational boundaries clear.
“예문 초안: The machine learning team used Metric Model Card when the metric changed after data cleanup, so the team could publish model behavior honestly before the model moved into evaluation.”
기계 지원 번역 초안 (Korean) for "Rollback Rollback Plan": Rollback Rollback Plan is a devops recovery plan that defines how to return to a known good version for recovery from a bad deployment. It uses version pins, database notes, and operator steps so teams can recover quickly from bad changes while keeping evidence, reliability, and public-safe operational boundaries clear.
“예문 초안: The DevOps team used Rollback Rollback Plan when the error budget started burning, so the team could recover quickly from bad changes before the deployment window opened.”