Operations Automation & Orchestration Platform

Trace workflow failures and compare recovery policies under different loads.

Industry: Digital services · Cross-industry
Business context: A workflow simulation for teams managing service requests, capacity constraints, and recovery from failures.
Data sources: Synthetic workflows and experiments inspired by documented historical incidents. Simulated figures are not data from those companies.

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Problem

When a workflow fails under load, retries can consume capacity and keep new requests waiting.

Decision

Use the Crisis Lab to compare basic retry, flow control and temporary extra capacity under the same demand conditions.

Evidence

Inspect completed requests, service commitments, queue depth and resource use. Historical incidents provide context for synthetic experiments. The results describe the simulated workflows.

Inspired by Altshuller & M. Goldratt.