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
Rascunho de traducao automatica (Portuguese) for "Rollback Release Manifest": Rollback Release Manifest is a devops delivery record that lists versions, artifacts, routes, and checks for a release for recovery from a bad deployment. It uses commit IDs, checksums, and deployment URLs so teams can make releases auditable while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemplo em rascunho: The DevOps team used Rollback Release Manifest when the error budget started burning, so the team could make releases auditable before the deployment window opened.”
Rascunho de traducao automatica (Portuguese) 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.
“Exemplo em rascunho: 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.”
Rascunho de traducao automatica (Portuguese) for "CD Runbook Check": CD Runbook Check is a devops operational test that confirms that documented procedures still work for deployment automation and promotion. 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.
“Exemplo em rascunho: The DevOps team used CD Runbook Check when the release moved toward production, so the team could keep response playbooks current before the deployment window opened.”
Rascunho de traducao automatica (Portuguese) 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.
“Exemplo em rascunho: 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.”
Rascunho de traducao automatica (Portuguese) for "Environment Infra Plan": Environment Infra Plan is a devops change preview that shows expected infrastructure changes before apply for configuration for a runtime stage. 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.
“Exemplo em rascunho: The DevOps team used Environment Infra Plan when staging and production drifted, so the team could review platform changes safely before the deployment window opened.”
Rascunho de traducao automatica (Portuguese) 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.
“Exemplo em rascunho: 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.”
Rascunho de traducao automatica (Portuguese) for "Artifact Artifact Signature": Artifact Artifact Signature is a devops supply-chain record that proves that an artifact came from an expected build path for build output and package delivery. 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 Artifact Artifact Signature when the container image was signed, so the team could trust deployed packages before the deployment window opened.”
Rascunho de traducao automatica (Portuguese) for "Environment Rollback Plan": Environment Rollback Plan is a devops recovery plan that defines how to return to a known good version for configuration for a runtime stage. 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.
“Exemplo em rascunho: The DevOps team used Environment Rollback Plan when staging and production drifted, so the team could recover quickly from bad changes before the deployment window opened.”
Rascunho de traducao automatica (Portuguese) 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.
“Exemplo em rascunho: 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.”
Rascunho de traducao automatica (Portuguese) 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.
“Exemplo em rascunho: 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.”