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 "Observability Trace Link": Observability Trace Link is a devops observability link that connects a deployment or workflow to runtime evidence for logs, metrics, traces, and events. 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.
“Ejemplo en borrador: The DevOps team used Observability Trace Link when latency increased after deploy, so the team could debug production changes faster before the deployment window opened.”
Borrador de traduccion automatica (Spanish) for "GPU Cold Start Budget": GPU Cold Start Budget is a compute latency target that limits startup delay for newly scheduled execution for accelerated compute for parallel workloads. It uses prewarming, smaller packages, and runtime tuning so teams can keep first requests responsive while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The platform engineering team used GPU Cold Start Budget when the training job requested more memory, so the team could keep first requests responsive before the workload scaled up.”
Borrador de traduccion automatica (Spanish) for "Release Rollout Guard": Release Rollout Guard is a devops release control that limits exposure during gradual deployment for versioned delivery of code or content. It uses traffic slices, health checks, and automatic pause rules so teams can reduce blast radius while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The DevOps team used Release Rollout Guard when the release notes were generated, so the team could reduce blast radius before the deployment window opened.”
Borrador de traduccion automatica (Spanish) for "Runbook Artifact Signature": Runbook Artifact Signature is a devops supply-chain record that proves that an artifact came from an expected build path for documented operational procedure. 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 Runbook Artifact Signature when a responder needed the recovery steps, so the team could trust deployed packages before the deployment window opened.”
Borrador de traduccion automatica (Spanish) for "DNS Anycast Endpoint": DNS Anycast Endpoint is a networking routing pattern that advertises one address from multiple locations for name resolution and delegation. It uses regional announcements, health checks, and traffic steering so teams can serve users from nearby healthy sites while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The network engineering team used DNS Anycast Endpoint when a resolver returned stale data, so the team could serve users from nearby healthy sites before traffic crossed a service boundary.”
Borrador de traduccion automatica (Spanish) for "Queue Cache Invalidation": Queue Cache Invalidation is a compute freshness process that removes or refreshes stale cached data for asynchronous work buffer. It uses keys, tags, timestamps, and purge events so teams can serve current results while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The platform engineering team used Queue Cache Invalidation when the queue depth increased, so the team could serve current results before the workload scaled up.”
Borrador de traduccion automatica (Spanish) for "Incident Release Manifest": Incident Release Manifest is a devops delivery record that lists versions, artifacts, routes, and checks for a release for response to service degradation. It uses commit IDs, checksums, and deployment URLs so teams can make releases auditable while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The DevOps team used Incident Release Manifest when on-call received a high-severity page, so the team could make releases auditable before the deployment window opened.”
Borrador de traduccion automatica (Spanish) for "GPU Image Hardening": GPU Image Hardening is a compute security practice that reduces risk inside packaged runtime images for accelerated compute for parallel workloads. It uses minimal bases, patching, and vulnerability checks so teams can ship safer workloads while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The platform engineering team used GPU Image Hardening when the training job requested more memory, so the team could ship safer workloads before the workload scaled up.”
Borrador de traduccion automatica (Spanish) for "Cluster Capacity Forecast": Cluster Capacity Forecast is a compute planning model that estimates future resource needs for group of machines acting as one platform. It uses traffic history, growth assumptions, and utilization trends so teams can avoid surprise shortages while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The platform engineering team used Cluster Capacity Forecast when the cluster added a node pool, so the team could avoid surprise shortages before the workload scaled up.”
Borrador de traduccion automatica (Spanish) for "Serverless Runtime Profile": Serverless Runtime Profile is a compute performance record that shows how code uses CPU, memory, I/O, and time for event-driven function execution. It uses sampling, traces, and resource metrics so teams can target optimization work while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The platform engineering team used Serverless Runtime Profile when the function received a traffic burst, so the team could target optimization work before the workload scaled up.”