Observability
数据保留
The operational policy and timeframe for preserving observability, monitoring, and system data in logs, traces, or metrics, as mandated by business or regulatory requirements.
Quick answer: The operational policy and timeframe for preserving observability, monitoring, and system data in logs, traces, or metrics, as mandated by business or regulatory requirements.
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Quick answer
The operational policy and timeframe for preserving observability, monitoring, and system data in logs, traces, or metrics, as mandated by business or regulatory requirements.
Why it matters
数据保留 matters because it supports clear communication in Observability contexts for DevOps Engineers, SREs, and Platform Engineers. It also connects to aviation training and exam language such as AWS Certification, Azure Certification, ITIL v4, and CKA/CKAD.
Editorial context
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Definition
The operational policy and timeframe for preserving observability, monitoring, and system data in logs, traces, or metrics, as mandated by business or regulatory requirements.
Operational example
Our observability platform enforces a 90-day data retention period for log analytics in compliance with company policy.
Localized example
我们的可观测性平台对日志分析实施90天的数据保留期。
Definition language
English reference definition
Source
ITIL v4, AWS Well-Architected Framework, Kubernetes Documentation, CNCF
Exam relevance
- AWS Certification
- Azure Certification
- ITIL v4
- CKA/CKAD
Target audience
- DevOps Engineers
- SREs
- Platform Engineers
