Mastering System Stability: Building a Chaos‑Driven Platform for Financial Ops

1. Business Stability Analysis

We examine stability from both customer and business perspectives, highlighting the need for fast market updates, quick trades, smooth operations, and zero latency for customers, while ensuring systems meet SLA, remain crash‑free during peak market conditions, and handle new feature releases, critical moments, market spikes, and external changes.

Key risk periods such as 9:15, 9:25, 9:30, 13:00, 14:57, and 15:00 are identified, and monitoring of system readiness, order trends, and transaction health is emphasized. Six major risks—single‑point failures, functional defects, performance/capacity limits, data loss, operational errors, and compliance issues—are addressed through comprehensive testing and emergency drills.

2. Stability Platform Capability Building

We built a scenario‑driven, end‑to‑end, open stability engineering platform leveraging Alibaba AHAS Chaos for fault injection, integrating monitoring, change management, testing, and emergency response across the securities domain.

The platform’s architecture consists of three layers: a foundational layer aggregating agents, unified monitoring, CMDB, and automation services; a middle layer managing drills, automation, evaluation, and knowledge‑base generation with API exposure; and a top layer offering user views and drill workspaces.

Fault injection capabilities span infrastructure (CPU, memory), container service outages, application‑level faults (process, JVM, service calls), cloud resource failures, data corruption, and business‑level “stuck, hanging, dead” scenarios, with drill methods evolving from sampling to carpet‑style to double‑random approaches.

Integration with CMDB and unified monitoring enables real‑time fault detection, automated throttling, degradation, or circuit‑breaking, and the platform synchronizes drill results to a quality‑management system for comprehensive evaluation.

Pre‑configured drill scenario libraries allow one‑click generation of tasks across modules, machines, and data centers, while a fault knowledge base links alerts, playbooks, and response personnel.

3. Stability Engineering Practice

The "Protect Bottom" initiative (Bottom = baseline) continuously probes system limits, identifies technical risks, and safeguards operational stability through a matrix of typical fault scenarios ("stuck", "hanging", "dead"), carpet‑style drills, and replay of historical incidents.

A real‑time dashboard visualizes active fault injections, completed drills, upcoming exercises, and uncovered issues across business lines and platform components, ensuring timely recovery and continuous improvement.

Quarterly analyses of production events drive risk identification, resulting in over 272 improvement actions and the promotion of a stability‑engineer culture, including recognition programs for exemplary participants.

4. Outlook

Future work will focus on double‑random drills, red‑blue adversarial exercises, full‑stack stability visualization, automated architecture risk perception, and AI‑driven operations (AIOps) to recommend intelligent drill scenarios.