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 "Virtual Machine Capacity Forecast": Virtual Machine Capacity Forecast is a compute planning model that estimates future resource needs for isolated guest compute. 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 Virtual Machine Capacity Forecast when the VM migrated hosts, so the team could avoid surprise shortages 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 "Cluster Runtime Profile": Cluster Runtime Profile is a compute performance record that shows how code uses CPU, memory, I/O, and time for group of machines acting as one platform. 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 Cluster Runtime Profile when the cluster added a node pool, so the team could target optimization work before the workload scaled up.”
Borrador de traduccion automatica (Spanish) for "Runbook Rollout Guard": Runbook Rollout Guard is a devops release control that limits exposure during gradual deployment for documented operational procedure. 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 Runbook Rollout Guard when a responder needed the recovery steps, so the team could reduce blast radius 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 "Infrastructure Approval Step": Infrastructure Approval Step is a devops workflow control that requires review before a sensitive change proceeds for cloud resources and platform wiring. It uses role checks, comments, and audit logs so teams can keep high-risk automation accountable while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The DevOps team used Infrastructure Approval Step when a new region was added, so the team could keep high-risk automation accountable before the deployment window opened.”
Borrador de traduccion automatica (Spanish) for "Incident Runbook Check": Incident Runbook Check is a devops operational test that confirms that documented procedures still work for response to service degradation. 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.
“Ejemplo en borrador: The DevOps team used Incident Runbook Check when on-call received a high-severity page, so the team could keep response playbooks current before the deployment window opened.”
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 "Container Placement Strategy": Container Placement Strategy is a compute scheduling rule that chooses where workloads should run for packaged application runtime. 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 Container Placement Strategy when the image started on a new node, so the team could improve reliability and efficiency before the workload scaled up.”
Borrador de traduccion automatica (Spanish) for "Cache Placement Strategy": Cache Placement Strategy is a compute scheduling rule that chooses where workloads should run for fast temporary data layer. 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 Cache Placement Strategy when the cache missed during peak traffic, so the team could improve reliability and efficiency before the workload scaled up.”