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
机器辅助翻译草稿 (Chinese) for "Queue Checkpoint Restore": Queue Checkpoint Restore is a compute recovery workflow that resumes work from a saved state for asynchronous work buffer. It uses snapshots, state files, and integrity checks so teams can recover long-running work while keeping evidence, reliability, and public-safe operational boundaries clear.
“示例草稿: The platform engineering team used Queue Checkpoint Restore when the queue depth increased, so the team could recover long-running work before the workload scaled up.”
机器辅助翻译草稿 (Chinese) for "Runbook Trace Link": Runbook Trace Link is a devops observability link that connects a deployment or workflow to runtime evidence for documented operational procedure. 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.
“示例草稿: The DevOps team used Runbook Trace Link when a responder needed the recovery steps, so the team could debug production changes faster before the deployment window opened.”
机器辅助翻译草稿 (Chinese) 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.
“示例草稿: 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.”
机器辅助翻译草稿 (Chinese) for "Memory Autoscaling Policy": Memory Autoscaling Policy is a compute control loop that changes capacity based on demand signals for volatile runtime storage. It uses metrics, thresholds, and cooldowns so teams can match resources to load while keeping evidence, reliability, and public-safe operational boundaries clear.
“示例草稿: The platform engineering team used Memory Autoscaling Policy when the process approached its memory limit, so the team could match resources to load before the workload scaled up.”
机器辅助翻译草稿 (Chinese) 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.
“示例草稿: 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.”
机器辅助翻译草稿 (Chinese) 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.
“示例草稿: 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.”
机器辅助翻译草稿 (Chinese) 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.
“示例草稿: 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.”
机器辅助翻译草稿 (Chinese) 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.
“示例草稿: 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.”
机器辅助翻译草稿 (Chinese) 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.
“示例草稿: The DevOps team used Observability Rollout Guard when latency increased after deploy, so the team could reduce blast radius before the deployment window opened.”
机器辅助翻译草稿 (Chinese) for "Cluster Workload Priority": Cluster Workload Priority is a compute scheduling signal that tells the platform which work matters most when capacity is constrained for group of machines acting as one platform. 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.
“示例草稿: The platform engineering team used Cluster Workload Priority when the cluster added a node pool, so the team could protect critical paths before the workload scaled up.”