Monitoring is the nervous system of algorithmic trading. It tells operators when strategies are healthy, when assumptions are breaking, and when automated intervention or human review is needed.
Track business metrics and system metrics
CPU, memory, and uptime are useful, but trading systems also need PnL, exposure, drawdown, order rejection rates, fill ratios, slippage, and position reconciliation. A server can be healthy while a strategy is behaving badly.
Design alerts around decisions
Alerts should tell operators what changed, why it matters, and what action may be required. Too many low-quality alerts create fatigue. High-quality alerting focuses on events that affect capital, compliance, execution, or data integrity.
Use incidents to improve the platform
Post-incident review should examine logs, timelines, decisions, and missing controls. The purpose is not blame. It is to reduce the chance that the same issue can affect live capital again.
Strategic takeaway
Observability is a mark of maturity in algorithmic trading. It makes automation governable, reviewable, and safer to scale.
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