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 "CPU Cache Invalidation": CPU Cache Invalidation is a compute freshness process that removes or refreshes stale cached data for general-purpose processor scheduling. 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 CPU Cache Invalidation when the service hit a compute ceiling, so the team could serve current results before the workload scaled up.”
Borrador de traduccion automatica (Spanish) for "Queue Isolation Boundary": Queue Isolation Boundary is a compute security boundary that separates workloads so one cannot affect another unexpectedly for asynchronous work buffer. 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 Queue Isolation Boundary when the queue depth increased, so the team could reduce cross-workload risk before the workload scaled up.”
Borrador de traduccion automatica (Spanish) for "Storage Backpressure Control": Storage Backpressure Control is a compute stability pattern that slows incoming work when downstream capacity is limited for persistent data and object access. 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 Storage Backpressure Control when the workload read a large dataset, so the team could avoid overload cascades before the workload scaled up.”
Borrador de traduccion automatica (Spanish) for "Serverless Workload Priority": Serverless Workload Priority is a compute scheduling signal that tells the platform which work matters most when capacity is constrained for event-driven function execution. 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 Serverless Workload Priority when the function received a traffic burst, so the team could protect critical paths before the workload scaled up.”
Borrador de traduccion automatica (Spanish) for "Scheduler Backpressure Control": Scheduler Backpressure Control is a compute stability pattern that slows incoming work when downstream capacity is limited for placement of work onto resources. 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 Scheduler Backpressure Control when the cluster needed to place a job, so the team could avoid overload cascades before the workload scaled up.”
Borrador de traduccion automatica (Spanish) for "Scheduler Workload Priority": Scheduler Workload Priority is a compute scheduling signal that tells the platform which work matters most when capacity is constrained for placement of work onto resources. 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 Scheduler Workload Priority when the cluster needed to place a job, so the team could protect critical paths before the workload scaled up.”
Borrador de traduccion automatica (Spanish) for "Memory Placement Strategy": Memory Placement Strategy is a compute scheduling rule that chooses where workloads should run for volatile runtime storage. 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 Memory Placement Strategy when the process approached its memory limit, so the team could improve reliability and efficiency before the workload scaled up.”
Borrador de traduccion automatica (Spanish) for "Secret Trace Link": Secret Trace Link is a devops observability link that connects a deployment or workflow to runtime evidence for credential and sensitive configuration. 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 Secret Trace Link when a token rotated, so the team could debug production changes faster before the deployment window opened.”
Borrador de traduccion automatica (Spanish) for "Cache Runtime Profile": Cache Runtime Profile is a compute performance record that shows how code uses CPU, memory, I/O, and time for fast temporary data layer. 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 Cache Runtime Profile when the cache missed during peak traffic, so the team could target optimization work before the workload scaled up.”
Borrador de traduccion automatica (Spanish) for "GPU Workload Priority": GPU Workload Priority is a compute scheduling signal that tells the platform which work matters most when capacity is constrained for accelerated compute for parallel workloads. 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 GPU Workload Priority when the training job requested more memory, so the team could protect critical paths before the workload scaled up.”