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
Borrador de traduccion automatica (Spanish) 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.
“Ejemplo en borrador: 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.”
Borrador de traduccion automatica (Spanish) for "Environment Config Drift Check": Environment Config Drift Check is a devops consistency check that finds differences between intended and live configuration for configuration for a runtime stage. It uses desired state, live state, and diff reports so teams can avoid surprise environment behavior while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The DevOps team used Environment Config Drift Check when staging and production drifted, so the team could avoid surprise environment behavior before the deployment window opened.”
Borrador de traduccion automatica (Spanish) for "Artifact Infra Plan": Artifact Infra Plan is a devops change preview that shows expected infrastructure changes before apply for build output and package delivery. It uses resource graphs, policy checks, and cost notes so teams can review platform changes safely while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The DevOps team used Artifact Infra Plan when the container image was signed, so the team could review platform changes safely before the deployment window opened.”
Borrador de traduccion automatica (Spanish) for "Artifact Build Gate": Artifact Build Gate is a devops quality gate that blocks promotion when required checks fail for build output and package delivery. 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.
“Ejemplo en borrador: The DevOps team used Artifact Build Gate when the container image was signed, so the team could prevent broken releases before the deployment window opened.”
Borrador de traduccion automatica (Spanish) 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.
“Ejemplo en borrador: 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.”
Borrador de traduccion automatica (Spanish) for "Canary Config Drift Check": Canary Config Drift Check is a devops consistency check that finds differences between intended and live configuration for small-scope production rollout. It uses desired state, live state, and diff reports so teams can avoid surprise environment behavior while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The DevOps team used Canary Config Drift Check when the first traffic slice received the build, so the team could avoid surprise environment behavior before the deployment window opened.”
Borrador de traduccion automatica (Spanish) for "Rollback Config Drift Check": Rollback Config Drift Check is a devops consistency check that finds differences between intended and live configuration for recovery from a bad deployment. It uses desired state, live state, and diff reports so teams can avoid surprise environment behavior while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The DevOps team used Rollback Config Drift Check when the error budget started burning, so the team could avoid surprise environment behavior before the deployment window opened.”
Borrador de traduccion automatica (Spanish) for "Environment Incident Timeline": Environment Incident Timeline is a devops response record that orders alerts, actions, and decisions during an incident for configuration for a runtime stage. It uses timestamps, owners, and evidence links so teams can learn from outages without guesswork while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The DevOps team used Environment Incident Timeline when staging and production drifted, so the team could learn from outages without guesswork before the deployment window opened.”
Borrador de traduccion automatica (Spanish) for "CD Incident Timeline": CD Incident Timeline is a devops response record that orders alerts, actions, and decisions during an incident for deployment automation and promotion. It uses timestamps, owners, and evidence links so teams can learn from outages without guesswork while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The DevOps team used CD Incident Timeline when the release moved toward production, so the team could learn from outages without guesswork before the deployment window opened.”
Borrador de traduccion automatica (Spanish) for "Fine-Tuning Feature Store": Fine-Tuning Feature Store is a ml service that serves consistent features to training and inference for adaptation of a model to a domain. It uses versioned feature definitions, freshness checks, and access policies so teams can avoid training-serving skew while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The machine learning team used Fine-Tuning Feature Store when the fine-tuning run used curated examples, so the team could avoid training-serving skew before the model moved into evaluation.”