Industrial, APM & Infrastructure
Use cases in industrial systems, monitoring, and observability
Module: Tiger Data 101 → TimescaleDB Core Use Cases
Section: Core Use Cases
Estimated time: 8–10 minutes total (this page: ~2 minutes)
Industrial & Energy
Section titled “Industrial & Energy”The challenge: Manufacturing lines, power grids, HVAC systems generate continuous streams of operational data. Downtime is expensive. Organizations need both real-time alerting AND long-term trend analysis in one place.
How TimescaleDB helps:
- hypertables handle continuous ingestion from dozens or hundreds of data streams
- Continuous Aggregates power trend dashboards
- Retention + tiering policies keep decades of data accessible without runaway costs
- SQL-native anomaly detection: window functions for rolling standard deviation
Application & Performance Monitoring (APM)
Section titled “Application & Performance Monitoring (APM)”The challenge: Distributed applications produce enormous volumes of metrics, traces, and logs. Traditional tools either cap retention or become prohibitively expensive at scale.
How TimescaleDB helps:
- hypertables absorb continuous metric streams from any number of services
- hypercore compression keeps months of metric history without exploding storage
- SQL enables cross-service correlation queries that purpose-built metrics tools can't express
- Native integrations with Prometheus and Grafana
Infrastructure Monitoring
Section titled “Infrastructure Monitoring”The challenge: Centralized infrastructure monitoring (servers, containers, cloud resources) at scale requires storing millions of data points per minute while keeping queries fast.
How TimescaleDB helps:
- Acts as long-term storage backend for Prometheus
- Telegraf writes directly via the PostgreSQL output plugin
- Grafana connects natively
- Continuous Aggregates power capacity planning dashboards
Key patterns across all use cases
Section titled “Key patterns across all use cases”| Pattern | TimescaleDB Feature |
|---|---|
| High-volume ingestion | hypertables with automatic chunking |
| Storage cost management | hypercore compression + data tiering |
| Fast analytics at any granularity | Continuous Aggregates (hierarchical) |