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
機械支援の翻訳下書き (Japanese) 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.
“例文の下書き: 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.”
機械支援の翻訳下書き (Japanese) for "Storage Isolation Boundary": Storage Isolation Boundary is a compute security boundary that separates workloads so one cannot affect another unexpectedly for persistent data and object access. It uses namespaces, sandboxes, and access controls so teams can reduce cross-workload risk while keeping evidence, reliability, and public-safe operational boundaries clear.
“例文の下書き: The platform engineering team used Storage Isolation Boundary when the workload read a large dataset, so the team could reduce cross-workload risk before the workload scaled up.”
機械支援の翻訳下書き (Japanese) for "Edge Placement Strategy": Edge Placement Strategy is a compute scheduling rule that chooses where workloads should run for globally distributed 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.
“例文の下書き: The platform engineering team used Edge Placement Strategy when the request arrived near a user, so the team could improve reliability and efficiency before the workload scaled up.”
機械支援の翻訳下書き (Japanese) for "Cluster Autoscaling Policy": Cluster Autoscaling Policy is a compute control loop that changes capacity based on demand signals for group of machines acting as one platform. It uses metrics, thresholds, and cooldowns so teams can match resources to load while keeping evidence, reliability, and public-safe operational boundaries clear.
“例文の下書き: The platform engineering team used Cluster Autoscaling Policy when the cluster added a node pool, so the team could match resources to load before the workload scaled up.”
機械支援の翻訳下書き (Japanese) for "Infrastructure Incident Timeline": Infrastructure Incident Timeline is a devops response record that orders alerts, actions, and decisions during an incident for cloud resources and platform wiring. It uses timestamps, owners, and evidence links so teams can learn from outages without guesswork while keeping evidence, reliability, and public-safe operational boundaries clear.
“例文の下書き: The DevOps team used Infrastructure Incident Timeline when a new region was added, so the team could learn from outages without guesswork before the deployment window opened.”
機械支援の翻訳下書き (Japanese) for "Edge Isolation Boundary": Edge Isolation Boundary is a compute security boundary that separates workloads so one cannot affect another unexpectedly for globally distributed runtime. It uses namespaces, sandboxes, and access controls so teams can reduce cross-workload risk while keeping evidence, reliability, and public-safe operational boundaries clear.
“例文の下書き: The platform engineering team used Edge Isolation Boundary when the request arrived near a user, so the team could reduce cross-workload risk before the workload scaled up.”
機械支援の翻訳下書き (Japanese) for "Container Autoscaling Policy": Container Autoscaling Policy is a compute control loop that changes capacity based on demand signals for packaged application runtime. It uses metrics, thresholds, and cooldowns so teams can match resources to load while keeping evidence, reliability, and public-safe operational boundaries clear.
“例文の下書き: The platform engineering team used Container Autoscaling Policy when the image started on a new node, so the team could match resources to load before the workload scaled up.”
機械支援の翻訳下書き (Japanese) 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.
“例文の下書き: 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.”
機械支援の翻訳下書き (Japanese) for "CPU Image Hardening": CPU Image Hardening is a compute security practice that reduces risk inside packaged runtime images for general-purpose processor scheduling. It uses minimal bases, patching, and vulnerability checks so teams can ship safer workloads while keeping evidence, reliability, and public-safe operational boundaries clear.
“例文の下書き: The platform engineering team used CPU Image Hardening when the service hit a compute ceiling, so the team could ship safer workloads before the workload scaled up.”
機械支援の翻訳下書き (Japanese) for "CPU Backpressure Control": CPU Backpressure Control is a compute stability pattern that slows incoming work when downstream capacity is limited for general-purpose processor scheduling. It uses queues, retry budgets, and admission control so teams can avoid overload cascades while keeping evidence, reliability, and public-safe operational boundaries clear.
“例文の下書き: The platform engineering team used CPU Backpressure Control when the service hit a compute ceiling, so the team could avoid overload cascades before the workload scaled up.”