TimescaleDB Template

TimescaleDB is a powerful open-source time-series database that extends PostgreSQL, providing superior scalability and performance for time-series data management and analytics.

Why Choose This Template?

PostgreSQL Compatible: Leverage familiar SQL with time-series capabilities
High Performance: Optimized for time-series data operations
Automatic Partitioning: Efficient data organization and querying
Advanced Compression: Reduce storage costs while maintaining performance

CloudStation Advantages

One-Click Deploy: Instant database setup
Automated Backups: Regular data preservation
Performance Monitoring: Built-in metrics tracking
Resource Optimization: Efficient scaling options

Perfect For

IoT Applications: Handle device data streams
Monitoring Systems: Track metrics and performance
Financial Analysis: Process time-series financial data
Analytics Platforms: Complex data analysis

Resource Requirements

Minimal specifications for optimal performance:

CPU: 0.6 vCPU - For database operations
RAM: 1 GB - For query processing
Storage: 10 GB - For time-series data
Cost: $15.68 per month - Estimated running costs

Components

Component	Count	Purpose
Databases	1	TimescaleDB instance
Docker Images	0	Not required
Services	0	Not required
Repositories	0	Not required

Key Features

Continuous aggregates
Automated data retention
Hypertable partitioning
Multi-node scalability
SQL interface
Time-bucket analytics

Configuration Example

# Basic TimescaleDB Setup
timescaledb:
  max_connections: 100
  shared_buffers: "512MB"
  effective_cache_size: "1GB"
  maintenance_work_mem: "256MB"
  timescaledb.telemetry_level: "off"