Multi-Region Workflow Orchestration Platform
Platform running tens of thousands of workflow executions a year across multiple global regions, every one behind a wall of concurrent safety checks, expanding adoption across Amazon.
The Problem
Development teams across multiple global regions needed a reliable, consistent workflow orchestration platform to run critical infrastructure operations, without each team maintaining their own bespoke orchestration infrastructure.
The platform needed to enforce safety requirements before every automated change: monitoring validation, rollback coverage, regional isolation, and change control.
The Approach
Designed and own the architecture of a multi-service workflow orchestration platform serving development teams across multiple global regions. Defined platform SLAs, execution guarantees, observability standards, and reliability practices for teams building on top of the platform.
Built a parallel pre-execution safety framework running multiple concurrent checks before every automated operation. Designed a non-opt-outable environment isolation guardrail and a tiered monitoring response model that separates rollback-triggering conditions from log-only ones: reserving automatic rollback for the conditions that warrant it cuts false-positive rollbacks, at the cost of a slower, human-driven response to the log-only signals.
Created a large-scale specification-as-code system as the single source of truth for the entire platform, powering specialist AI coding agents via a hub-and-spoke context architecture.
The Impact
- Tens of thousands of workflow executions a year across multiple global regions, each driving five to eight safeguarded operations, 500,000 safety checks run in total
- Adopted by development teams across multiple global regions, and expanding to more Amazon engineering teams
- Concurrent pre-execution safety checks, monitoring validation, rollback coverage, regional isolation, and change control among them, enforced before every automated operation
- A specification-as-code system serves as the single source of truth for the platform and feeds curated context to specialist AI coding agents
- Enabled self-service onboarding so teams can adopt workflow orchestration without platform-team intervention