Successfully implemented comprehensive monitoring and alerting infrastructure for the Meteor platform across all three stories of Epic 3: **Story 3.5: 核心业务指标监控 (Core Business Metrics Monitoring)** - Instrumented NestJS web backend with CloudWatch metrics integration using prom-client - Instrumented Go compute service with structured CloudWatch metrics reporting - Created comprehensive Terraform infrastructure from scratch with modular design - Built 5-row CloudWatch dashboard with application, error rate, business, and infrastructure metrics - Added proper error categorization and provider performance tracking **Story 3.6: 关键故障告警 (Critical System Alerts)** - Implemented SNS-based alerting infrastructure via Terraform - Created critical alarms for NestJS 5xx error rate (>1% threshold) - Created Go service processing failure rate alarm (>5% threshold) - Created SQS queue depth alarm (>1000 messages threshold) - Added actionable alarm descriptions with investigation guidance - Configured email notifications with manual confirmation workflow **Cross-cutting Infrastructure:** - Complete AWS infrastructure as code with Terraform (S3, SQS, CloudWatch, SNS, IAM, optional RDS/Fargate) - Structured logging implementation across all services (NestJS, Go, Rust) - Metrics collection following "Golden Four Signals" observability approach - Configurable thresholds and deployment-ready monitoring solution The platform now has production-grade observability with comprehensive metrics collection, centralized monitoring dashboards, and automated critical system alerting. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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