Your AI agent is fixing the wrong service
I tested 100 bugs across 240 microservices the model has never seen. Alert only: 51% pass rate, wrong service 34% of the time. Traffic captures: 77%.
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I tested 100 bugs across 240 microservices the model has never seen. Alert only: 51% pass rate, wrong service 34% of the time. Traffic captures: 77%.
A 2026 take on WireMock alternatives. Keep WireMock for what it's good at; add Microcks (now CNCF Incubating) or proxymock for the gaps. The honest map.
Export recorded proxymock traffic to Datadog Synthetics in one command. Auth headers redacted, global variables created. No scripting, no flaky journeys.
UI synthetics only tell you something is broken. Traffic replay per microservice isolates failures before any human walks up. Zero scripts required.
Dark code is software no human has written, read, or reviewed. As AI tools accelerate, the gap between shipped code and understood code is widening fast.
Learn a practical workflow to convert Datadog metrics, traces, and incidents into CI tests that catch regressions before deploy.
AI agents silently modify working systems to force changes through. Three real patterns and the guardrails that catch them.
Compare the 7 best service virtualization tools of 2026 including Speedscale, WireMock, Hoverfly, and Parasoft. Features, pros, cons, and use cases.
Teams spend six figures on observability but test with synthetic data. Close the gap between what you know about production and what you validate pre-release.