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
Automatischer Uebersetzungsentwurf (German) for "Infrastructure Runbook Check": Infrastructure Runbook Check is a devops operational test that confirms that documented procedures still work for cloud resources and platform wiring. It uses dry runs, screenshots, and command validation so teams can keep response playbooks current while keeping evidence, reliability, and public-safe operational boundaries clear.
“Beispielentwurf: The DevOps team used Infrastructure Runbook Check when a new region was added, so the team could keep response playbooks current before the deployment window opened.”
Automatischer Uebersetzungsentwurf (German) for "Cache Backpressure Control": Cache Backpressure Control is a compute stability pattern that slows incoming work when downstream capacity is limited for fast temporary data layer. It uses queues, retry budgets, and admission control so teams can avoid overload cascades while keeping evidence, reliability, and public-safe operational boundaries clear.
“Beispielentwurf: The platform engineering team used Cache Backpressure Control when the cache missed during peak traffic, so the team could avoid overload cascades before the workload scaled up.”
Automatischer Uebersetzungsentwurf (German) for "Secret Runbook Check": Secret Runbook Check is a devops operational test that confirms that documented procedures still work for credential and sensitive configuration. It uses dry runs, screenshots, and command validation so teams can keep response playbooks current while keeping evidence, reliability, and public-safe operational boundaries clear.
“Beispielentwurf: The DevOps team used Secret Runbook Check when a token rotated, so the team could keep response playbooks current before the deployment window opened.”
Automatischer Uebersetzungsentwurf (German) for "DNS Health Probe": DNS Health Probe is a networking availability check that tests whether a service or path can receive traffic for name resolution and delegation. It uses timed requests, thresholds, and regional checks so teams can send traffic only to healthy targets while keeping evidence, reliability, and public-safe operational boundaries clear.
“Beispielentwurf: The network engineering team used DNS Health Probe when a resolver returned stale data, so the team could send traffic only to healthy targets before traffic crossed a service boundary.”
Automatischer Uebersetzungsentwurf (German) for "Infrastructure Incident Timeline": Infrastructure Incident Timeline is a devops response record that orders alerts, actions, and decisions during an incident for cloud resources and platform wiring. It uses timestamps, owners, and evidence links so teams can learn from outages without guesswork while keeping evidence, reliability, and public-safe operational boundaries clear.
“Beispielentwurf: The DevOps team used Infrastructure Incident Timeline when a new region was added, so the team could learn from outages without guesswork before the deployment window opened.”
Automatischer Uebersetzungsentwurf (German) for "Container Runtime Profile": Container Runtime Profile is a compute performance record that shows how code uses CPU, memory, I/O, and time for packaged application runtime. It uses sampling, traces, and resource metrics so teams can target optimization work while keeping evidence, reliability, and public-safe operational boundaries clear.
“Beispielentwurf: The platform engineering team used Container Runtime Profile when the image started on a new node, so the team could target optimization work before the workload scaled up.”
Automatischer Uebersetzungsentwurf (German) for "Container Cache Invalidation": Container Cache Invalidation is a compute freshness process that removes or refreshes stale cached data for packaged application runtime. It uses keys, tags, timestamps, and purge events so teams can serve current results while keeping evidence, reliability, and public-safe operational boundaries clear.
“Beispielentwurf: The platform engineering team used Container Cache Invalidation when the image started on a new node, so the team could serve current results before the workload scaled up.”
Automatischer Uebersetzungsentwurf (German) for "Scheduler Checkpoint Restore": Scheduler Checkpoint Restore is a compute recovery workflow that resumes work from a saved state for placement of work onto resources. 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.
“Beispielentwurf: The platform engineering team used Scheduler Checkpoint Restore when the cluster needed to place a job, so the team could recover long-running work before the workload scaled up.”
Automatischer Uebersetzungsentwurf (German) for "Container Workload Priority": Container Workload Priority is a compute scheduling signal that tells the platform which work matters most when capacity is constrained for packaged application 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.
“Beispielentwurf: The platform engineering team used Container Workload Priority when the image started on a new node, so the team could protect critical paths before the workload scaled up.”
Automatischer Uebersetzungsentwurf (German) for "GPU Cold Start Budget": GPU Cold Start Budget is a compute latency target that limits startup delay for newly scheduled execution for accelerated compute for parallel workloads. 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.
“Beispielentwurf: The platform engineering team used GPU Cold Start Budget when the training job requested more memory, so the team could keep first requests responsive before the workload scaled up.”