Execution Infrastructure & Monitoring for Algorithmic Strategies
Built automation and operational tooling around strategy execution, including monitoring, alerting, and incident playbooks to keep systems reliable under real-world conditions.
Built automation and operational tooling around strategy execution, including monitoring, alerting, and incident playbooks to keep systems reliable under real-world conditions.
Related service: Algorithmic Trading Solutions
Confidentiality: client names and identifiers removed.
What improved
Faster detection and safer day-to-day operations with clear incident response steps, reducing downtime and limiting operational risk from common production failures.
The problem we were solving
Execution systems fail in production for reasons that rarely show up in backtests: RPC instability, reorgs, latency spikes, nonce issues, or human error during maintenance.
- Automation that survives flaky infrastructure
- Clear visibility into what the system is doing
- Safe operational patterns for keys and permissions
Monitoring, alerting, and guardrails
Operational tooling was built around observability and predictable incident response. The goal: detect issues early and respond consistently.
- Monitoring hooks for key execution events
- Alert routing with actionable signals (not noise)
- Incident playbooks for common failure modes
Key handling and day-to-day safety
The system design assumed humans will make mistakes and infrastructure will degrade. We optimized for safe defaults and clear recovery paths.
- Key handling practices and permission boundaries
- Rollback and recovery steps documented
- Operational handover docs for ongoing maintenance
What was handed over
- Execution worker / automation scripts
- Monitoring hooks + alert routing guidance
- Incident runbooks / playbooks
- Operational handover documentation