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 Image Hardening": Scheduler Image Hardening is a compute security practice that reduces risk inside packaged runtime images for placement of work onto resources. 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 Scheduler Image Hardening when the cluster needed to place a job, so the team could ship safer workloads before the workload scaled up.”
Rascunho de traducao automatica (Portuguese) for "Secret Release Manifest": Secret Release Manifest is a devops delivery record that lists versions, artifacts, routes, and checks for a release for credential and sensitive configuration. It uses commit IDs, checksums, and deployment URLs so teams can make releases auditable while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemplo em rascunho: The DevOps team used Secret Release Manifest when a token rotated, so the team could make releases auditable before the deployment window opened.”
Rascunho de traducao automatica (Portuguese) for "Cache Cold Start Budget": Cache Cold Start Budget is a compute latency target that limits startup delay for newly scheduled execution for fast temporary data layer. 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 Cache Cold Start Budget when the cache missed during peak traffic, so the team could keep first requests responsive before the workload scaled up.”
Rascunho de traducao automatica (Portuguese) for "Container Cold Start Budget": Container Cold Start Budget is a compute latency target that limits startup delay for newly scheduled execution for packaged application runtime. 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 Container Cold Start Budget when the image started on a new node, so the team could keep first requests responsive before the workload scaled up.”
Rascunho de traducao automatica (Portuguese) 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.
“Exemplo em rascunho: 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.”
Rascunho de traducao automatica (Portuguese) for "Memory Capacity Forecast": Memory Capacity Forecast is a compute planning model that estimates future resource needs for volatile runtime storage. 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 Memory Capacity Forecast when the process approached its memory limit, so the team could avoid surprise shortages before the workload scaled up.”
Rascunho de traducao automatica (Portuguese) 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.
“Exemplo em rascunho: 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.”
Rascunho de traducao automatica (Portuguese) for "BGP Ingress Rule": BGP Ingress Rule is a networking boundary rule that controls how external traffic enters a service for interdomain routing. It uses hostnames, paths, protocols, and policy checks so teams can keep entry points predictable while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemplo em rascunho: The network engineering team used BGP Ingress Rule when a route advertisement changed, so the team could keep entry points predictable before traffic crossed a service boundary.”
Rascunho de traducao automatica (Portuguese) for "Observability Trace Link": Observability Trace Link is a devops observability link that connects a deployment or workflow to runtime evidence for logs, metrics, traces, and events. It uses trace IDs, span metadata, and release identifiers so teams can debug production changes faster while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemplo em rascunho: The DevOps team used Observability Trace Link when latency increased after deploy, so the team could debug production changes faster before the deployment window opened.”
Rascunho de traducao automatica (Portuguese) for "GPU Checkpoint Restore": GPU Checkpoint Restore is a compute recovery workflow that resumes work from a saved state for accelerated compute for parallel workloads. 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 GPU Checkpoint Restore when the training job requested more memory, so the team could recover long-running work before the workload scaled up.”