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
मशीन-सहायता अनुवाद मसौदा (Hindi) for "Canary Rollback Plan": Canary Rollback Plan is a devops recovery plan that defines how to return to a known good version for small-scope production rollout. 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.
“उदाहरण मसौदा: The DevOps team used Canary Rollback Plan when the first traffic slice received the build, so the team could recover quickly from bad changes before the deployment window opened.”
मशीन-सहायता अनुवाद मसौदा (Hindi) for "Artifact Rollback Plan": Artifact Rollback Plan is a devops recovery plan that defines how to return to a known good version for build output and package delivery. 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.
“उदाहरण मसौदा: The DevOps team used Artifact Rollback Plan when the container image was signed, so the team could recover quickly from bad changes before the deployment window opened.”
मशीन-सहायता अनुवाद मसौदा (Hindi) 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.
“उदाहरण मसौदा: 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.”
मशीन-सहायता अनुवाद मसौदा (Hindi) for "Environment Runbook Check": Environment Runbook Check is a devops operational test that confirms that documented procedures still work for configuration for a runtime stage. 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.
“उदाहरण मसौदा: The DevOps team used Environment Runbook Check when staging and production drifted, so the team could keep response playbooks current before the deployment window opened.”
मशीन-सहायता अनुवाद मसौदा (Hindi) for "Fine-Tuning Evaluation Harness": Fine-Tuning Evaluation Harness is a ml test system that runs repeatable checks against model behavior for adaptation of a model to a domain. It uses fixtures, metrics, thresholds, and regression reports so teams can compare releases with evidence while keeping evidence, reliability, and public-safe operational boundaries clear.
“उदाहरण मसौदा: The machine learning team used Fine-Tuning Evaluation Harness when the fine-tuning run used curated examples, so the team could compare releases with evidence before the model moved into evaluation.”
मशीन-सहायता अनुवाद मसौदा (Hindi) 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.
“उदाहरण मसौदा: The DevOps team used Environment Artifact Signature when staging and production drifted, so the team could trust deployed packages before the deployment window opened.”
मशीन-सहायता अनुवाद मसौदा (Hindi) for "Pipeline Provenance Ledger": Pipeline Provenance Ledger is a ml record that tracks where data came from and how it changed for automated data and model workflow. It uses hashes, source labels, and transformation history so teams can audit model inputs reliably while keeping evidence, reliability, and public-safe operational boundaries clear.
“उदाहरण मसौदा: The machine learning team used Pipeline Provenance Ledger when the pipeline missed a validation step, so the team could audit model inputs reliably before the model moved into evaluation.”
मशीन-सहायता अनुवाद मसौदा (Hindi) 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.
“उदाहरण मसौदा: 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.”
मशीन-सहायता अनुवाद मसौदा (Hindi) 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.
“उदाहरण मसौदा: 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.”
मशीन-सहायता अनुवाद मसौदा (Hindi) for "CI Trace Link": 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.
“उदाहरण मसौदा: 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.”