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 "Memory Capacity Forecast": Memory Capacity Forecast is a compute planning model that estimates future resource needs for volatile runtime storage. 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 Memory Capacity Forecast when the process approached its memory limit, so the team could avoid surprise shortages before the workload scaled up.”
Borrador de traduccion automatica (Spanish) for "DNS Traffic Shaper": DNS Traffic Shaper is a networking control mechanism that limits or prioritizes flows across links for name resolution and delegation. It uses queues, rate limits, and quality-of-service rules so teams can protect important traffic while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The network engineering team used DNS Traffic Shaper when a resolver returned stale data, so the team could protect important traffic before traffic crossed a service boundary.”
Borrador de traduccion automatica (Spanish) for "Infrastructure Rollout Guard": Infrastructure Rollout Guard is a devops release control that limits exposure during gradual deployment for cloud resources and platform wiring. 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 Infrastructure Rollout Guard when a new region was added, so the team could reduce blast radius before the deployment window opened.”
Borrador de traduccion automatica (Spanish) for "Observability Rollout Guard": Observability Rollout Guard is a devops release control that limits exposure during gradual deployment for logs, metrics, traces, and events. 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 Observability Rollout Guard when latency increased after deploy, so the team could reduce blast radius before the deployment window opened.”
Borrador de traduccion automatica (Spanish) for "CPU Runtime Profile": CPU Runtime Profile is a compute performance record that shows how code uses CPU, memory, I/O, and time for general-purpose processor scheduling. 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 CPU Runtime Profile when the service hit a compute ceiling, so the team could target optimization work before the workload scaled up.”
Borrador de traduccion automatica (Spanish) for "BGP Anycast Endpoint": BGP Anycast Endpoint is a networking routing pattern that advertises one address from multiple locations for interdomain routing. 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 BGP Anycast Endpoint when a route advertisement changed, so the team could serve users from nearby healthy sites before traffic crossed a service boundary.”
Borrador de traduccion automatica (Spanish) for "Serverless Autoscaling Policy": Serverless Autoscaling Policy is a compute control loop that changes capacity based on demand signals for event-driven function execution. It uses metrics, thresholds, and cooldowns so teams can match resources to load while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The platform engineering team used Serverless Autoscaling Policy when the function received a traffic burst, so the team could match resources to load before the workload scaled up.”
Borrador de traduccion automatica (Spanish) for "Scheduler Autoscaling Policy": Scheduler Autoscaling Policy is a compute control loop that changes capacity based on demand signals for placement of work onto resources. It uses metrics, thresholds, and cooldowns so teams can match resources to load while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The platform engineering team used Scheduler Autoscaling Policy when the cluster needed to place a job, so the team could match resources to load before the workload scaled up.”
Borrador de traduccion automatica (Spanish) for "GPU Cache Invalidation": GPU Cache Invalidation is a compute freshness process that removes or refreshes stale cached data for accelerated compute for parallel workloads. 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 GPU Cache Invalidation when the training job requested more memory, so the team could serve current results before the workload scaled up.”
Borrador de traduccion automatica (Spanish) for "Cluster Placement Strategy": Cluster Placement Strategy is a compute scheduling rule that chooses where workloads should run for group of machines acting as one platform. 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 Cluster Placement Strategy when the cluster added a node pool, so the team could improve reliability and efficiency before the workload scaled up.”