انتقل إلى المحتوى

Recent

Newest approved public definitions for this language.

/
2,337 source-backed termsdatabase

مسودة ترجمة بمساعدة آلية (Arabic) 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.

مسودة مثال: 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.

مسودة ترجمة بمساعدة آلية (Arabic) for "Cache Isolation Boundary": Cache Isolation Boundary is a compute security boundary that separates workloads so one cannot affect another unexpectedly for fast temporary data layer. It uses namespaces, sandboxes, and access controls so teams can reduce cross-workload risk while keeping evidence, reliability, and public-safe operational boundaries clear.

مسودة مثال: The platform engineering team used Cache Isolation Boundary when the cache missed during peak traffic, so the team could reduce cross-workload risk before the workload scaled up.

مسودة ترجمة بمساعدة آلية (Arabic) 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.

مسودة مثال: 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.

مسودة ترجمة بمساعدة آلية (Arabic) for "Cache Resource Quota": Cache Resource Quota is a compute limit that sets how much compute a workload may consume for fast temporary data layer. It uses policy, reservations, and usage tracking so teams can protect shared capacity while keeping evidence, reliability, and public-safe operational boundaries clear.

مسودة مثال: The platform engineering team used Cache Resource Quota when the cache missed during peak traffic, so the team could protect shared capacity before the workload scaled up.

مسودة ترجمة بمساعدة آلية (Arabic) 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.

مسودة مثال: 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.

مسودة ترجمة بمساعدة آلية (Arabic) for "Cache Workload Priority": Cache Workload Priority is a compute scheduling signal that tells the platform which work matters most when capacity is constrained for fast temporary data layer. 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.

مسودة مثال: The platform engineering team used Cache Workload Priority when the cache missed during peak traffic, so the team could protect critical paths before the workload scaled up.

مسودة ترجمة بمساعدة آلية (Arabic) 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.

مسودة مثال: 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.

مسودة ترجمة بمساعدة آلية (Arabic) for "Cluster Backpressure Control": Cluster Backpressure Control is a compute stability pattern that slows incoming work when downstream capacity is limited for group of machines acting as one platform. It uses queues, retry budgets, and admission control so teams can avoid overload cascades while keeping evidence, reliability, and public-safe operational boundaries clear.

مسودة مثال: The platform engineering team used Cluster Backpressure Control when the cluster added a node pool, so the team could avoid overload cascades before the workload scaled up.

مسودة ترجمة بمساعدة آلية (Arabic) for "Cluster Cache Invalidation": Cluster Cache Invalidation is a compute freshness process that removes or refreshes stale cached data for group of machines acting as one platform. It uses keys, tags, timestamps, and purge events so teams can serve current results while keeping evidence, reliability, and public-safe operational boundaries clear.

مسودة مثال: The platform engineering team used Cluster Cache Invalidation when the cluster added a node pool, so the team could serve current results before the workload scaled up.

مسودة ترجمة بمساعدة آلية (Arabic) for "Cluster Capacity Forecast": Cluster Capacity Forecast is a compute planning model that estimates future resource needs for group of machines acting as one platform. 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.

مسودة مثال: The platform engineering team used Cluster Capacity Forecast when the cluster added a node pool, so the team could avoid surprise shortages before the workload scaled up.

مسودة ترجمة بمساعدة آلية (Arabic) for "Cluster Checkpoint Restore": Cluster Checkpoint Restore is a compute recovery workflow that resumes work from a saved state for group of machines acting as one platform. 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.

مسودة مثال: The platform engineering team used Cluster Checkpoint Restore when the cluster added a node pool, so the team could recover long-running work before the workload scaled up.

مسودة ترجمة بمساعدة آلية (Arabic) for "Cluster Cold Start Budget": Cluster Cold Start Budget is a compute latency target that limits startup delay for newly scheduled execution for group of machines acting as one platform. It uses prewarming, smaller packages, and runtime tuning so teams can keep first requests responsive while keeping evidence, reliability, and public-safe operational boundaries clear.

مسودة مثال: The platform engineering team used Cluster Cold Start Budget when the cluster added a node pool, so the team could keep first requests responsive before the workload scaled up.

مسودة ترجمة بمساعدة آلية (Arabic) for "Cluster Image Hardening": Cluster Image Hardening is a compute security practice that reduces risk inside packaged runtime images for group of machines acting as one platform. It uses minimal bases, patching, and vulnerability checks so teams can ship safer workloads while keeping evidence, reliability, and public-safe operational boundaries clear.

مسودة مثال: The platform engineering team used Cluster Image Hardening when the cluster added a node pool, so the team could ship safer workloads before the workload scaled up.

مسودة ترجمة بمساعدة آلية (Arabic) for "Cluster Isolation Boundary": Cluster Isolation Boundary is a compute security boundary that separates workloads so one cannot affect another unexpectedly for group of machines acting as one platform. It uses namespaces, sandboxes, and access controls so teams can reduce cross-workload risk while keeping evidence, reliability, and public-safe operational boundaries clear.

مسودة مثال: The platform engineering team used Cluster Isolation Boundary when the cluster added a node pool, so the team could reduce cross-workload risk before the workload scaled up.

مسودة ترجمة بمساعدة آلية (Arabic) 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.

مسودة مثال: 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.

مسودة ترجمة بمساعدة آلية (Arabic) 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.

مسودة مثال: 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.

مسودة ترجمة بمساعدة آلية (Arabic) 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.

مسودة مثال: 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.

مسودة ترجمة بمساعدة آلية (Arabic) 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.

مسودة مثال: 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.

مسودة ترجمة بمساعدة آلية (Arabic) 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.

مسودة مثال: 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.

مسودة ترجمة بمساعدة آلية (Arabic) for "Container Backpressure Control": Container Backpressure Control is a compute stability pattern that slows incoming work when downstream capacity is limited for packaged application runtime. It uses queues, retry budgets, and admission control so teams can avoid overload cascades while keeping evidence, reliability, and public-safe operational boundaries clear.

مسودة مثال: The platform engineering team used Container Backpressure Control when the image started on a new node, so the team could avoid overload cascades before the workload scaled up.