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 "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 "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.
“例文の下書き: 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.”
機械支援の翻訳下書き (Japanese) for "Release Runbook Check": Release Runbook Check is a devops operational test that confirms that documented procedures still work for versioned delivery of code or content. 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.
“例文の下書き: The DevOps team used Release Runbook Check when the release notes were generated, so the team could keep response playbooks current before the deployment window opened.”
機械支援の翻訳下書き (Japanese) for "Observability Approval Step": Observability Approval Step is a devops workflow control that requires review before a sensitive change proceeds for logs, metrics, traces, and events. 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.
“例文の下書き: The DevOps team used Observability Approval Step when latency increased after deploy, so the team could keep high-risk automation accountable before the deployment window opened.”
機械支援の翻訳下書き (Japanese) for "Incident Infra Plan": Incident Infra Plan is a devops change preview that shows expected infrastructure changes before apply for response to service degradation. It uses resource graphs, policy checks, and cost notes so teams can review platform changes safely while keeping evidence, reliability, and public-safe operational boundaries clear.
“例文の下書き: The DevOps team used Incident Infra Plan when on-call received a high-severity page, so the team could review platform changes safely before the deployment window opened.”
機械支援の翻訳下書き (Japanese) 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.
“例文の下書き: 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.”
機械支援の翻訳下書き (Japanese) for "Cache Image Hardening": Cache Image Hardening is a compute security practice that reduces risk inside packaged runtime images for fast temporary data layer. 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 Cache Image Hardening when the cache missed during peak traffic, so the team could ship safer workloads before the workload scaled up.”
機械支援の翻訳下書き (Japanese) for "Release Secret Rotation": Release Secret Rotation is a devops credential workflow that replaces sensitive keys without service interruption for versioned delivery of code or content. It uses dual credentials, rollout steps, and revocation so teams can reduce credential exposure while keeping evidence, reliability, and public-safe operational boundaries clear.
“例文の下書き: The DevOps team used Release Secret Rotation when the release notes were generated, so the team could reduce credential exposure before the deployment window opened.”
機械支援の翻訳下書き (Japanese) for "Cluster Resource Quota": Cluster Resource Quota is a compute limit that sets how much compute a workload may consume for group of machines acting as one platform. It uses policy, reservations, and usage tracking so teams can protect shared capacity while keeping evidence, reliability, and public-safe operational boundaries clear.
“例文の下書き: The platform engineering team used Cluster Resource Quota when the cluster added a node pool, so the team could protect shared capacity 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.”