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
Brouillon de traduction automatique (French) for "DNS Resolver Cache": DNS Resolver Cache is a networking performance layer that stores DNS answers for reuse until they expire for name resolution and delegation. It uses TTL rules, cache keys, and invalidation so teams can reduce lookup latency while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemple en brouillon: The network engineering team used DNS Resolver Cache when a resolver returned stale data, so the team could reduce lookup latency before traffic crossed a service boundary.”
Brouillon de traduction automatique (French) for "DNS Failover Policy": DNS Failover Policy is a networking resilience policy that defines when traffic should move to another path or region for name resolution and delegation. It uses health signals, priorities, and cooldown windows so teams can recover from outages predictably while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemple en brouillon: The network engineering team used DNS Failover Policy when a resolver returned stale data, so the team could recover from outages predictably before traffic crossed a service boundary.”
Brouillon de traduction automatique (French) 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.
“Exemple en brouillon: 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.”
Brouillon de traduction automatique (French) for "Queue Cache Invalidation": Queue Cache Invalidation is a compute freshness process that removes or refreshes stale cached data for asynchronous work buffer. It uses keys, tags, timestamps, and purge events so teams can serve current results while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemple en brouillon: The platform engineering team used Queue Cache Invalidation when the queue depth increased, so the team could serve current results before the workload scaled up.”
Brouillon de traduction automatique (French) for "TLS Anycast Endpoint": TLS Anycast Endpoint is a networking routing pattern that advertises one address from multiple locations for encrypted transport setup. It uses regional announcements, health checks, and traffic steering so teams can serve users from nearby healthy sites while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemple en brouillon: The network engineering team used TLS Anycast Endpoint when a certificate neared expiration, so the team could serve users from nearby healthy sites before traffic crossed a service boundary.”
Brouillon de traduction automatique (French) for "Virtual Machine Runtime Profile": Virtual Machine Runtime Profile is a compute performance record that shows how code uses CPU, memory, I/O, and time for isolated guest compute. It uses sampling, traces, and resource metrics so teams can target optimization work while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemple en brouillon: The platform engineering team used Virtual Machine Runtime Profile when the VM migrated hosts, so the team could target optimization work before the workload scaled up.”
Brouillon de traduction automatique (French) for "BGP Anycast Endpoint": BGP Anycast Endpoint is a networking routing pattern that advertises one address from multiple locations for interdomain routing. It uses regional announcements, health checks, and traffic steering so teams can serve users from nearby healthy sites while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemple en brouillon: The network engineering team used BGP Anycast Endpoint when a route advertisement changed, so the team could serve users from nearby healthy sites before traffic crossed a service boundary.”
Brouillon de traduction automatique (French) for "GPU Workload Priority": GPU Workload Priority is a compute scheduling signal that tells the platform which work matters most when capacity is constrained for accelerated compute for parallel workloads. 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.
“Exemple en brouillon: The platform engineering team used GPU Workload Priority when the training job requested more memory, so the team could protect critical paths before the workload scaled up.”
Brouillon de traduction automatique (French) for "CPU Resource Quota": CPU Resource Quota is a compute limit that sets how much compute a workload may consume for general-purpose processor scheduling. It uses policy, reservations, and usage tracking so teams can protect shared capacity while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemple en brouillon: The platform engineering team used CPU Resource Quota when the service hit a compute ceiling, so the team could protect shared capacity before the workload scaled up.”
Brouillon de traduction automatique (French) for "Storage Autoscaling Policy": Storage Autoscaling Policy is a compute control loop that changes capacity based on demand signals for persistent data and object access. It uses metrics, thresholds, and cooldowns so teams can match resources to load while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemple en brouillon: The platform engineering team used Storage Autoscaling Policy when the workload read a large dataset, so the team could match resources to load before the workload scaled up.”