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
Brouillon de traduction automatique (French) for "Rollback Artifact Signature": Rollback Artifact Signature is a devops supply-chain record that proves that an artifact came from an expected build path for recovery from a bad deployment. It uses cryptographic signatures, provenance, and verification so teams can trust deployed packages while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemple en brouillon: The DevOps team used Rollback Artifact Signature when the error budget started burning, so the team could trust deployed packages before the deployment window opened.”
Brouillon de traduction automatique (French) for "CI Infra Plan": CI Infra Plan is a devops change preview that shows expected infrastructure changes before apply for continuous integration workflows. 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.
“Exemple en brouillon: The DevOps team used CI Infra Plan when a pull request entered the build queue, so the team could review platform changes safely before the deployment window opened.”
Brouillon de traduction automatique (French) 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.
“Exemple en brouillon: 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.”
Brouillon de traduction automatique (French) for "Environment Release Manifest": Environment Release Manifest is a devops delivery record that lists versions, artifacts, routes, and checks for a release for configuration for a runtime stage. It uses commit IDs, checksums, and deployment URLs so teams can make releases auditable while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemple en brouillon: The DevOps team used Environment Release Manifest when staging and production drifted, so the team could make releases auditable before the deployment window opened.”
Brouillon de traduction automatique (French) for "Metric Data Split": Metric Data Split is a ml experimental control that separates examples for training, validation, and testing for measurement of model behavior. It uses randomization rules, leakage checks, and seed tracking so teams can measure generalization honestly while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemple en brouillon: The machine learning team used Metric Data Split when the metric changed after data cleanup, so the team could measure generalization honestly before the model moved into evaluation.”
Brouillon de traduction automatique (French) for "CD Trace Link": CD Trace Link is a devops observability link that connects a deployment or workflow to runtime evidence for deployment automation and promotion. It uses trace IDs, span metadata, and release identifiers so teams can debug production changes faster while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemple en brouillon: The DevOps team used CD Trace Link when the release moved toward production, so the team could debug production changes faster before the deployment window opened.”
Brouillon de traduction automatique (French) for "CD Secret Rotation": CD Secret Rotation is a devops credential workflow that replaces sensitive keys without service interruption for deployment automation and promotion. It uses dual credentials, rollout steps, and revocation so teams can reduce credential exposure while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemple en brouillon: The DevOps team used CD Secret Rotation when the release moved toward production, so the team could reduce credential exposure before the deployment window opened.”
Brouillon de traduction automatique (French) 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.
“Exemple en brouillon: The DevOps team used Environment Artifact Signature when staging and production drifted, so the team could trust deployed packages before the deployment window opened.”
Brouillon de traduction automatique (French) for "CI Release Manifest": CI Release Manifest is a devops delivery record that lists versions, artifacts, routes, and checks for a release for continuous integration workflows. It uses commit IDs, checksums, and deployment URLs so teams can make releases auditable while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemple en brouillon: The DevOps team used CI Release Manifest when a pull request entered the build queue, so the team could make releases auditable before the deployment window opened.”
Brouillon de traduction automatique (French) for "Pipeline Training Checkpoint": Pipeline Training Checkpoint is a ml recovery artifact that saves model state during learning for automated data and model workflow. 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.
“Exemple en brouillon: The machine learning team used Pipeline Training Checkpoint when the pipeline missed a validation step, so the team could resume or inspect training safely before the model moved into evaluation.”