Implementation
Implementation of monitoring with prometheus follows a modular architecture. Configuration files define parameters, strategy modules handle logic, and exchange adapters manage execution.
Production Notes
In production, monitoring with prometheus requires monitoring for API rate limits, database connection pooling, log rotation, alert thresholds, and automated restart procedures. Document runbooks for incident response.
Testing Approach
Testing monitoring with prometheus includes unit tests for signal logic, integration tests for exchange interaction, and backtests against historical data with realistic slippage modeling.
Core Concepts
Understanding monitoring with prometheus requires familiarity with market microstructure, order flow dynamics, and execution latency. The following sections detail each component.
Risk Considerations
Risk management for monitoring with prometheus addresses position limits, stop loss placement, correlation exposure, and worst-case drawdown scenarios. Regular monitoring prevents drift from intended behavior.