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>
26 lines
780 B
TOML
26 lines
780 B
TOML
[package]
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name = "meteor-edge-client"
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version = "0.1.0"
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edition = "2021"
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[dependencies]
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clap = { version = "4.0", features = ["derive"] }
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reqwest = { version = "0.11", features = ["json", "multipart"] }
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serde = { version = "1.0", features = ["derive"] }
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serde_json = "1.0"
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toml = "0.8"
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tokio = { version = "1.0", features = ["full"] }
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anyhow = "1.0"
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thiserror = "1.0"
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dirs = "5.0"
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chrono = { version = "0.4", features = ["serde"] }
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tracing = "0.1"
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tracing-subscriber = { version = "0.3", features = ["json", "chrono", "env-filter"] }
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tracing-appender = "0.2"
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uuid = { version = "1.0", features = ["v4"] }
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flate2 = "1.0"
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# opencv = { version = "0.88", default-features = false } # Commented out for demo - requires system OpenCV installation
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[dev-dependencies]
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tempfile = "3.0"
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