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 "Artifact Incident Timeline": Artifact Incident Timeline is a devops response record that orders alerts, actions, and decisions during an incident for build output and package delivery. 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 Artifact Incident Timeline when the container image was signed, so the team could learn from outages without guesswork before the deployment window opened.”
Borrador de traduccion automatica (Spanish) for "Rollback Build Gate": Rollback Build Gate is a devops quality gate that blocks promotion when required checks fail for recovery from a bad deployment. 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 Rollback Build Gate when the error budget started burning, so the team could prevent broken releases before the deployment window opened.”
Borrador de traduccion automatica (Spanish) for "Canary Infra Plan": Canary Infra Plan is a devops change preview that shows expected infrastructure changes before apply for small-scope production rollout. 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 Canary Infra Plan when the first traffic slice received the build, so the team could review platform changes safely before the deployment window opened.”
Borrador de traduccion automatica (Spanish) for "Fine-Tuning Label Review": Fine-Tuning Label Review is a ml quality workflow that checks annotations for consistency and usefulness for adaptation of a model to a domain. It uses agreement metrics, reviewer queues, and adjudication so teams can improve supervised learning data while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The machine learning team used Fine-Tuning Label Review when the fine-tuning run used curated examples, so the team could improve supervised learning data before the model moved into evaluation.”
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 "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.
“Ejemplo en borrador: 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.”
Borrador de traduccion automatica (Spanish) for "Pipeline Label Review": Pipeline Label Review is a ml quality workflow that checks annotations for consistency and usefulness for automated data and model workflow. It uses agreement metrics, reviewer queues, and adjudication so teams can improve supervised learning data while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The machine learning team used Pipeline Label Review when the pipeline missed a validation step, so the team could improve supervised learning data before the model moved into evaluation.”
Borrador de traduccion automatica (Spanish) for "Environment Artifact Signature": Environment Artifact Signature is a devops supply-chain record that proves that an artifact came from an expected build path for configuration for a runtime stage. It uses cryptographic signatures, provenance, and verification so teams can trust deployed packages while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The DevOps team used Environment Artifact Signature when staging and production drifted, so the team could trust deployed packages before the deployment window opened.”
Borrador de traduccion automatica (Spanish) for "Rollback Secret Rotation": Rollback Secret Rotation is a devops credential workflow that replaces sensitive keys without service interruption for recovery from a bad deployment. It uses dual credentials, rollout steps, and revocation so teams can reduce credential exposure while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The DevOps team used Rollback Secret Rotation when the error budget started burning, so the team could reduce credential exposure before the deployment window opened.”
Borrador de traduccion automatica (Spanish) for "Fine-Tuning Model Card": Fine-Tuning Model Card is a ml documentation artifact that summarizes intended use, limits, and evaluation evidence for adaptation of a model to a domain. 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 Fine-Tuning Model Card when the fine-tuning run used curated examples, so the team could publish model behavior honestly before the model moved into evaluation.”