46 lines
1.7 KiB
Markdown
46 lines
1.7 KiB
Markdown
---
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name: evolv-database-influx-architecture
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description: Design and review EVOLV data modeling and storage architecture for telemetry and dashboard consumption. Use when deciding InfluxDB measurement/tag/field schemas, retention/downsampling strategy, write/read payload structures, and Grafana query compatibility for Node-RED outputs.
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---
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# EVOLV Database Influx Architecture
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## Mission
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Shape telemetry data so it is queryable, performant, and maintainable for operations dashboards and analytics.
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## Scope
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- Output payload structure from EVOLV nodes
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- InfluxDB write model: measurement, tags, fields, timestamp policy
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- Retention/downsampling implications for Grafana visualization
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## Workflow
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1. Classify data by usage:
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- real-time control
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- operator dashboarding
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- long-term analytics
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2. Define stable schema conventions:
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- measurement naming
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- tag cardinality controls
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- numeric fields and units
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3. Validate that node outputs map cleanly to write model.
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4. Check query ergonomics for expected Grafana panels.
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5. Specify retention/downsampling and backfill behavior.
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## Design Rules
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- Avoid high-cardinality tags for volatile identifiers.
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- Keep units explicit and consistent over time.
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- Prefer additive schema evolution; document breaking changes.
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- Include timestamps that are consistent across nodes.
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## Test/Validation Expectations
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- Verify sample payloads produce intended point shape.
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- Check representative queries for latency and result correctness.
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- Include migration strategy when schema changes are unavoidable.
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## Deliverables
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Return:
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- proposed schema (measurement/tags/fields)
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- rationale tied to dashboard and analytics use
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- changed files/tests
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- migration and retention plan
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