Application Level Dependency Chaos Testing
Blog post from Speedscale
A local chaos-engineering lab demonstrates how to test an application’s unexecuted fallback logic by recording healthy dependency traffic and then injecting scoped HTTP failures into only the inventory endpoint, rather than disrupting infrastructure broadly. In the storefront example, inventory responses are changed to 503 while retaining their recorded bodies, exposing a bug in which the client code checks only transport errors and decodes a successful-looking body without examining the HTTP status, causing the service to falsely report fresh, undegraded inventory data. The guide shows how response metadata and persisted chaos markers distinguish injected failures from real ones, how the proxymock interface displays altered traffic without modifying the original recordings, and why probabilistic, seeded faults can exercise healthy, cold-cache, and cached-fallback states reproducibly. A small status-code check fixes the defect, after which the service either reports unavailable inventory when no cache exists or serves cached data accurately labeled as degraded, illustrating that application-layer traffic perturbation complements rather than replaces infrastructure-focused chaos testing.
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