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 "Incident Rollback Plan": Incident Rollback Plan is a devops recovery plan that defines how to return to a known good version for response to service degradation. 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.
“Ejemplo en borrador: The DevOps team used Incident Rollback Plan when on-call received a high-severity page, so the team could recover quickly from bad changes before the deployment window opened.”
Borrador de traduccion automatica (Spanish) for "Scheduler Isolation Boundary": Scheduler Isolation Boundary is a compute security boundary that separates workloads so one cannot affect another unexpectedly for placement of work onto resources. It uses namespaces, sandboxes, and access controls so teams can reduce cross-workload risk while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The platform engineering team used Scheduler Isolation Boundary when the cluster needed to place a job, so the team could reduce cross-workload risk before the workload scaled up.”
Borrador de traduccion automatica (Spanish) for "Scheduler Placement Strategy": Scheduler Placement Strategy is a compute scheduling rule that chooses where workloads should run for placement of work onto resources. It uses affinity, topology, availability, and cost signals so teams can improve reliability and efficiency while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The platform engineering team used Scheduler Placement Strategy when the cluster needed to place a job, so the team could improve reliability and efficiency before the workload scaled up.”
Borrador de traduccion automatica (Spanish) for "Edge Resource Quota": Edge Resource Quota is a compute limit that sets how much compute a workload may consume for globally distributed runtime. It uses policy, reservations, and usage tracking so teams can protect shared capacity while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The platform engineering team used Edge Resource Quota when the request arrived near a user, so the team could protect shared capacity before the workload scaled up.”
Borrador de traduccion automatica (Spanish) for "Queue Placement Strategy": Queue Placement Strategy is a compute scheduling rule that chooses where workloads should run for asynchronous work buffer. It uses affinity, topology, availability, and cost signals so teams can improve reliability and efficiency while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The platform engineering team used Queue Placement Strategy when the queue depth increased, so the team could improve reliability and efficiency before the workload scaled up.”
Borrador de traduccion automatica (Spanish) for "Incident Rollout Guard": Incident Rollout Guard is a devops release control that limits exposure during gradual deployment for response to service degradation. 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 Incident Rollout Guard when on-call received a high-severity page, so the team could reduce blast radius before the deployment window opened.”
Borrador de traduccion automatica (Spanish) for "Queue Image Hardening": Queue Image Hardening is a compute security practice that reduces risk inside packaged runtime images for asynchronous work buffer. 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 Queue Image Hardening when the queue depth increased, so the team could ship safer workloads before the workload scaled up.”
Borrador de traduccion automatica (Spanish) for "Queue Workload Priority": Queue Workload Priority is a compute scheduling signal that tells the platform which work matters most when capacity is constrained for asynchronous work buffer. It uses priority classes, preemption rules, and fairness limits so teams can protect critical paths while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The platform engineering team used Queue Workload Priority when the queue depth increased, so the team could protect critical paths before the workload scaled up.”
Borrador de traduccion automatica (Spanish) for "Queue Backpressure Control": Queue Backpressure Control is a compute stability pattern that slows incoming work when downstream capacity is limited for asynchronous work buffer. It uses queues, retry budgets, and admission control so teams can avoid overload cascades while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The platform engineering team used Queue Backpressure Control when the queue depth increased, so the team could avoid overload cascades before the workload scaled up.”
Borrador de traduccion automatica (Spanish) for "CPU Workload Priority": CPU Workload Priority is a compute scheduling signal that tells the platform which work matters most when capacity is constrained for general-purpose processor scheduling. It uses priority classes, preemption rules, and fairness limits so teams can protect critical paths while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The platform engineering team used CPU Workload Priority when the service hit a compute ceiling, so the team could protect critical paths before the workload scaled up.”