Metric Persistence Task
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A Metric Persistence Task is a data persistence task that saves performance metrics from metric collectors to persistent metric storage enabling trend analysis and capacity planning.
- AKA: Metric Storage Task, Performance Data Persistence, Telemetry Persistence Task.
- Context:
- It can typically store System Metrics including CPU utilization.
- It can typically save Application Metrics with response times.
- It can typically maintain Business Metrics tracking KPI values.
- It can typically preserve Network Metrics monitoring bandwidth usage.
- It can typically record Custom Metrics for domain-specific monitoring.
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- It can often aggregate Raw Metrics for storage optimization.
- It can often downsample Historical Metrics for long-term retention.
- It can often compress Time-Series Data for space efficiency.
- It can often replicate Critical Metrics for high availability.
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- It can range from being a High-Resolution Metric Persistence Task to being a Low-Resolution Metric Persistence Task, depending on its sampling frequency.
- It can range from being a Real-Time Metric Persistence Task to being a Delayed Metric Persistence Task, depending on its ingestion latency.
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- It can utilize Time-Series Databases for optimized storage.
- It can employ Metric Aggregation Services for pre-processing.
- It can leverage Distributed Storage for scalable persistence.
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- Example(s):
- Infrastructure Metric Persistences, such as:
- Application Metric Persistences, such as:
- Business Metric Persistences, such as:
- ...
- Counter-Example(s):
- Real-Time Metric Display, which visualizes rather than persists metric values.
- Metric Alerting, which triggers rather than stores threshold breaches.
- Metric Calculation, which computes rather than saves derived values.
- See: Performance Monitoring, Data Persistence Task, Time-Series Database, Observability Platform.