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
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.
“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.”
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.
“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.”
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.
“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.”
CI Trace Link is a devops observability link that connects a deployment or workflow to runtime evidence for continuous integration workflows. 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.
“The DevOps team used CI Trace Link when a pull request entered the build queue, so the team could debug production changes faster before the deployment window opened.”
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.
“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.”
Metric Calibration Curve is a ml diagnostic that compares predicted confidence with observed outcomes for measurement of model behavior. It uses bucketed predictions, reliability diagrams, and threshold analysis so teams can make confidence scores useful while keeping evidence, reliability, and public-safe operational boundaries clear.
“The machine learning team used Metric Calibration Curve when the metric changed after data cleanup, so the team could make confidence scores useful before the model moved into evaluation.”
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.
“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.”
Metric Label Review is a ml quality workflow that checks annotations for consistency and usefulness for measurement of model behavior. 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.
“The machine learning team used Metric Label Review when the metric changed after data cleanup, so the team could improve supervised learning data before the model moved into evaluation.”
Fine-Tuning Hyperparameter Sweep is a ml optimization process that searches over model settings to improve a target metric for adaptation of a model to a domain. It uses bounded search spaces, trial tracking, and early stopping so teams can find better configurations while keeping evidence, reliability, and public-safe operational boundaries clear.
“The machine learning team used Fine-Tuning Hyperparameter Sweep when the fine-tuning run used curated examples, so the team could find better configurations before the model moved into evaluation.”
CD Config Drift Check is a devops consistency check that finds differences between intended and live configuration for deployment automation and promotion. 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.
“The DevOps team used CD Config Drift Check when the release moved toward production, so the team could avoid surprise environment behavior before the deployment window opened.”