JU

Serverless orchestration

Productionizing a long-running serverless orchestration platform on AWS — regression testing first, structured observability, and clear separation of business and infrastructure failure modes.

Summary

Portfolio demonstration: took a partially implemented cloud-native orchestration platform intended to replace a decades-old system and made it reliable, observable, and maintainable through regression testing as a foundation, structured observability, incremental delivery, and clear separation of business versus infrastructure failures.

Problem

Large enterprises rely on orchestration systems to coordinate multi-step fulfillment across upstream order systems and downstream provisioning teams. A legacy platform that had run for more than twenty years was being replaced by a cloud-native AWS system already underway. On ownership transfer the platform had valuable partial implementations but lacked production foundations: no automated regression suite, incomplete paths, limited observability for long-running executions, and sparse documentation.

Approach

API Gateway and Lambda accept and validate work items, persist state, and start a Step Functions execution. Step Functions coordinates parallel enrichment then sequential downstream hand-off via SQS and Lambda. A callback path receives results, updates durable DynamoDB state, and notifies upstream consumers. Structured logs feed CloudWatch metric filters, dashboards, and critical alarms.

End-to-end sequence — order entry, enrichment, handoff, downstream provisioning, and upstream callback.
  • Regression test harness with mocked externals and scenario coverage
  • Structured logging with correlation IDs, metric filters, dashboards, and alarms
  • Core workflows stabilized incrementally under the growing test suite
  • Durable request state, idempotent transitions, and clear failure modes
  • Architecture docs, runbooks, and explicit scope boundaries
  • Java handlers for entry, enrichment, failure marking, handoff, and notification
  • Wire contracts and a post-deploy smoke suite on real AWS resources

Key decisions: Step Functions for long-running orchestration; DynamoDB for durable state; structured logging with correlation IDs; post-deploy smoke as a quality gate; clear separation of business vs infrastructure failures; and scope discipline so the core slice could be made production-ready. Reliability practice put regression coverage first, then stabilized core paths in small, verifiable steps.

Order entry state machine — parallel enrichment, infrastructure-failure catch, and the success path to handoff.

Infrastructure failures follow an explicit retry-and-catch path instead of being reported as business outcomes:

Graceful infrastructure-failure recovery — retries exhaust, the error is caught, and the workflow emits a durable failure outcome.

Correlated structured events make each execution traceable across components:

Structured execution trace — one order correlated across entry, enrichment, handoff, downstream acceptance, and notification.

Results & limits

Delivered a production-ready orchestration platform with automated regression coverage on critical paths, clear operational visibility, documented architecture and runbooks, and a maintainable foundation for incremental improvement.

Deferred for this portfolio slice: advanced compensation patterns and additional downstream integrations.

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