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
Virtual Machine Capacity Forecast is a compute planning model that estimates future resource needs for isolated guest compute. 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.
“The platform engineering team used Virtual Machine Capacity Forecast when the VM migrated hosts, so the team could avoid surprise shortages before the workload scaled up.”
BGP Rate Limit is a networking traffic control that caps request volume over a period for interdomain routing. It uses identity keys, windows, and response policies so teams can protect services from overload while keeping evidence, reliability, and public-safe operational boundaries clear.
“The network engineering team used BGP Rate Limit when a route advertisement changed, so the team could protect services from overload before traffic crossed a service boundary.”
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.
“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.”
Cache Capacity Forecast is a compute planning model that estimates future resource needs for fast temporary data layer. 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.
“The platform engineering team used Cache Capacity Forecast when the cache missed during peak traffic, so the team could avoid surprise shortages before the workload scaled up.”
Runbook Rollout Guard is a devops release control that limits exposure during gradual deployment for documented operational procedure. 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.
“The DevOps team used Runbook Rollout Guard when a responder needed the recovery steps, so the team could reduce blast radius before the deployment window opened.”
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.
“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.”
Runbook Rollback Plan is a devops recovery plan that defines how to return to a known good version for documented operational procedure. It uses version pins, database notes, and operator steps so teams can recover quickly from bad changes while keeping evidence, reliability, and public-safe operational boundaries clear.
“The DevOps team used Runbook Rollback Plan when a responder needed the recovery steps, so the team could recover quickly from bad changes before the deployment window opened.”
Container Placement Strategy is a compute scheduling rule that chooses where workloads should run for packaged application 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.
“The platform engineering team used Container Placement Strategy when the image started on a new node, so the team could improve reliability and efficiency before the workload scaled up.”
Queue Autoscaling Policy is a compute control loop that changes capacity based on demand signals for asynchronous work buffer. It uses metrics, thresholds, and cooldowns so teams can match resources to load while keeping evidence, reliability, and public-safe operational boundaries clear.
“The platform engineering team used Queue Autoscaling Policy when the queue depth increased, so the team could match resources to load before the workload scaled up.”
Storage Capacity Forecast is a compute planning model that estimates future resource needs for persistent data and object access. 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.
“The platform engineering team used Storage Capacity Forecast when the workload read a large dataset, so the team could avoid surprise shortages before the workload scaled up.”