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 "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.
“Exemple en brouillon: 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.”
Brouillon de traduction automatique (French) for "Incident Rollout Guard": Incident Rollout Guard is a devops release control that limits exposure during gradual deployment for response to service degradation. 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.
“Exemple en brouillon: The DevOps team used Incident Rollout Guard when on-call received a high-severity page, so the team could reduce blast radius before the deployment window opened.”
Brouillon de traduction automatique (French) for "Serverless Isolation Boundary": Serverless Isolation Boundary is a compute security boundary that separates workloads so one cannot affect another unexpectedly for event-driven function execution. It uses namespaces, sandboxes, and access controls so teams can reduce cross-workload risk while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemple en brouillon: The platform engineering team used Serverless Isolation Boundary when the function received a traffic burst, so the team could reduce cross-workload risk before the workload scaled up.”
Brouillon de traduction automatique (French) 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.
“Exemple en brouillon: 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.”
Brouillon de traduction automatique (French) for "Secret Approval Step": Secret Approval Step is a devops workflow control that requires review before a sensitive change proceeds for credential and sensitive configuration. 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.
“Exemple en brouillon: The DevOps team used Secret Approval Step when a token rotated, so the team could keep high-risk automation accountable before the deployment window opened.”
Brouillon de traduction automatique (French) for "Infrastructure Secret Rotation": Infrastructure Secret Rotation is a devops credential workflow that replaces sensitive keys without service interruption for cloud resources and platform wiring. It uses dual credentials, rollout steps, and revocation so teams can reduce credential exposure while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemple en brouillon: The DevOps team used Infrastructure Secret Rotation when a new region was added, so the team could reduce credential exposure before the deployment window opened.”
Brouillon de traduction automatique (French) for "Edge Runtime Profile": Edge Runtime Profile is a compute performance record that shows how code uses CPU, memory, I/O, and time for globally distributed runtime. 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 Edge Runtime Profile when the request arrived near a user, so the team could target optimization work before the workload scaled up.”
Brouillon de traduction automatique (French) for "TLS Egress Policy": TLS Egress Policy is a networking outbound control that decides where workloads may send traffic for encrypted transport setup. It uses allowlists, identity, and logging so teams can reduce exfiltration and SSRF risk while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemple en brouillon: The network engineering team used TLS Egress Policy when a certificate neared expiration, so the team could reduce exfiltration and SSRF risk before traffic crossed a service boundary.”
Brouillon de traduction automatique (French) for "Serverless Capacity Forecast": Serverless Capacity Forecast is a compute planning model that estimates future resource needs for event-driven function execution. 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.
“Exemple en brouillon: The platform engineering team used Serverless Capacity Forecast when the function received a traffic burst, so the team could avoid surprise shortages before the workload scaled up.”
Brouillon de traduction automatique (French) 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.
“Exemple en brouillon: 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.”