{
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  "_file": "domain/stack-profiles/deep-stacks-4.yaml",
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  "attributes": {
    "displayName": "Time-Series Analytics Stack (InfluxDB, Grafana, Telegraf, Python, Go)",
    "description": "A time-series analytics platform combining purpose-built time-series\nstorage with rich visualization and collection agents. Grafana provides\ncustomizable dashboards for operational metrics, IoT sensor data, and\nfinancial tick data. Python handles analytical workloads — anomaly\ndetection, forecasting, and statistical aggregation over time-series\ndatasets using pandas and NumPy. Go services provide high-throughput\ndata ingestion endpoints for systems that cannot use standard collection\nagents. Designed for IoT platforms, infrastructure monitoring, and\nindustrial telemetry use cases. The tradeoff is query expressiveness —\ntime-series databases optimize for temporal range scans but offer\nlimited join and aggregation capabilities compared to general-purpose\nSQL databases, often requiring a companion RDBMS for metadata.\n",
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