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
Rascunho de traducao automatica (Portuguese) for "Scheduler Cache Invalidation": Scheduler Cache Invalidation is a compute freshness process that removes or refreshes stale cached data for placement of work onto resources. It uses keys, tags, timestamps, and purge events so teams can serve current results while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemplo em rascunho: The platform engineering team used Scheduler Cache Invalidation when the cluster needed to place a job, so the team could serve current results before the workload scaled up.”
Rascunho de traducao automatica (Portuguese) for "Edge Workload Priority": Edge Workload Priority is a compute scheduling signal that tells the platform which work matters most when capacity is constrained for globally distributed runtime. 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.
“Exemplo em rascunho: The platform engineering team used Edge Workload Priority when the request arrived near a user, so the team could protect critical paths before the workload scaled up.”
Rascunho de traducao automatica (Portuguese) for "Incident Approval Step": Incident Approval Step is a devops workflow control that requires review before a sensitive change proceeds for response to service degradation. 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.
“Exemplo em rascunho: The DevOps team used Incident Approval Step when on-call received a high-severity page, so the team could keep high-risk automation accountable before the deployment window opened.”
Rascunho de traducao automatica (Portuguese) 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.
“Exemplo em rascunho: 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.”
Rascunho de traducao automatica (Portuguese) for "Serverless Image Hardening": Serverless Image Hardening is a compute security practice that reduces risk inside packaged runtime images for event-driven function execution. It uses minimal bases, patching, and vulnerability checks so teams can ship safer workloads while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemplo em rascunho: The platform engineering team used Serverless Image Hardening when the function received a traffic burst, so the team could ship safer workloads before the workload scaled up.”
Rascunho de traducao automatica (Portuguese) for "Virtual Machine Isolation Boundary": Virtual Machine Isolation Boundary is a compute security boundary that separates workloads so one cannot affect another unexpectedly for isolated guest compute. It uses namespaces, sandboxes, and access controls so teams can reduce cross-workload risk while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemplo em rascunho: The platform engineering team used Virtual Machine Isolation Boundary when the VM migrated hosts, so the team could reduce cross-workload risk before the workload scaled up.”
Rascunho de traducao automatica (Portuguese) for "CPU Checkpoint Restore": CPU Checkpoint Restore is a compute recovery workflow that resumes work from a saved state for general-purpose processor scheduling. 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.
“Exemplo em rascunho: The platform engineering team used CPU Checkpoint Restore when the service hit a compute ceiling, so the team could recover long-running work before the workload scaled up.”
Rascunho de traducao automatica (Portuguese) for "Scheduler Cold Start Budget": Scheduler Cold Start Budget is a compute latency target that limits startup delay for newly scheduled execution for placement of work onto resources. 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.
“Exemplo em rascunho: The platform engineering team used Scheduler Cold Start Budget when the cluster needed to place a job, so the team could keep first requests responsive before the workload scaled up.”
Rascunho de traducao automatica (Portuguese) for "Edge Capacity Forecast": Edge Capacity Forecast is a compute planning model that estimates future resource needs for globally distributed runtime. 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.
“Exemplo em rascunho: The platform engineering team used Edge Capacity Forecast when the request arrived near a user, so the team could avoid surprise shortages before the workload scaled up.”
Rascunho de traducao automatica (Portuguese) for "Memory Resource Quota": Memory Resource Quota is a compute limit that sets how much compute a workload may consume for volatile runtime storage. It uses policy, reservations, and usage tracking so teams can protect shared capacity while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemplo em rascunho: The platform engineering team used Memory Resource Quota when the process approached its memory limit, so the team could protect shared capacity before the workload scaled up.”