Automation Platform

A microservices architecture, core service skeleton, DB schema, deployment pipeline, monitoring setup, and DR plan.

⬡

Recommended modelClaude Sonnet 4.6

Leads coding benchmarks for complex refactors

What you need to fill in

[department][List 3-5][X][Python/Node/Go][AWS/Azure/on-prem]

Tools used

AirflowChatGPTClaudePython

The prompt

"Build a production-grade automation platform for [department]. Use cases: - [List 3-5] Requirements: - Microservices architecture - Event-driven processing - Error handling + retry - Monitoring and alerting - Audit trail - Scalable to [X] jobs/day Tech preferences: - Language: [Python/Node/Go] - Infrastructure: [AWS/Azure/on-prem] - Orchestration: [Airflow/Prefect/custom] Provide: - System architecture - Core service code - Database schema - Deployment pipeline - Monitoring setup - Disaster recovery"

Open in Claude

Sample output

**Architecture** ``` Event bus (NATS) ↔ Orchestrator (Prefect) ↔ Workers (FastAPI, autoscaled) ↔ Postgres (state) · S3 (artefacts) · Redis (cache) ↔ Observability (OTel → Grafana) ``` **Job table** ```sql create table jobs ( id uuid primary key, kind text not null, payload jsonb, status text check (status in ('queued','running','done','failed')), attempts int default 0, created_at timestamptz default now() ); ``` **DR:** RPO 15 min (WAL streaming), RTO 30 min (warm standby), monthly restore drills.

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cursor github copilot claude code

platformmicroservicesdevopsmulti-week

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