From Claude with some prompting
the diagram focuses on considerations for a single metric:
- Basic Metric Components
- Point: Measurement point (where it’s collected)
- Number: Actual measured values (4,5,5,8,4,3,4)
- Precision: Accuracy of measurement
- Time Characteristics
- Time Series Data: Collected in time series format
- Real Time Streaming: Real-time streaming method
- Sampling Rate: How many measurements per second
- Resolution: Time resolution
- Change Detection
- Changes: Value variations
- Range: Acceptable range
- Event: Notable changes
- Delta: Change from previous value (new-old)
- Threshold: Threshold settings
- Quality Management
- No Data: Missing data state
- Delay: Data latency state
- With All Metrics: Correlation with other metrics
- Pattern Analysis
- Long Time Pattern: Long-term pattern existence
- Machine Learning: Pattern-based learning potential
In summary, this diagram comprehensively shows key considerations for a single metric:
- Collection method (how to gather)
- Time characteristics (how frequently to collect)
- Change detection (what changes to note)
- Quality management (how to ensure data reliability)
- Utilization approach (how to analyze and use)
These aspects form the fundamental framework for understanding and implementing a single metric in a monitoring system.
Lechuck Park 