domain-iot:time-series-data

What problem does it solve?

This Skill addresses the challenges of storing, querying, and visualizing high-volume time-series data generated by IoT devices, optimizing for cost and performance.

Core Features & Use Cases

• Database Selection: Guides users in choosing the right time-series database (InfluxDB, TimescaleDB, Prometheus, QuestDB, ClickHouse) based on specific IoT needs.
• Schema Design: Provides best practices for designing efficient schemas using tags and fields (InfluxDB) or hypertables (TimescaleDB).
• Data Lifecycle Management: Details strategies for downsampling, retention policies, and data compression to manage storage costs and query speeds.
• Processing & Visualization: Offers insights into stream vs. batch processing and effective Grafana dashboard design for IoT monitoring.
• Use Case: A user needs to ingest sensor data from a fleet of 10,000 IoT devices. This Skill helps them select InfluxDB, design a tag/field schema to avoid cardinality issues, set up a 7-day raw data retention with 90-day aggregated data, and create a Grafana dashboard to monitor device health.

Quick Start

Use the domain-iot:time-series-data skill to select a time-series database for ingesting telemetry data from a fleet of IoT devices.