Application Level Dependency Chaos Testing
A scoped chaos rule takes one dependency down and nothing else, so the fallback branch in your code executes on demand instead of during an outage.
Browse 92 posts in this category
A scoped chaos rule takes one dependency down and nothing else, so the fallback branch in your code executes on demand instead of during an outage.
I pointed a classifier at 7,943 API calls to find business workflows. It worked, then showed where my assumptions about sessions and patterns fell apart.
Infrastructure and application chaos break different layers and find different bugs. Netflix built two systems for a reason. Most enterprises buy just one.
Synthetic monitoring depends on scripts engineers maintain by hand. Capturing and replaying real production transactions turns customer behavior into tests.
A production bug survived two confident fixes and green tests. Replaying the captured request exposed the missing state and proved the real fix.
Testing AI applications with invented traffic looks fine until real users arrive. Then come the retries, the fallback models, and the token bill.
A rebuilt 2026 guide to Postman alternatives. Which API clients are still maintained, what they cost, and which one fits local-first, gRPC, or team workflows.
A second run of our AI bug-fixing benchmark shows where captured traffic lifts agents toward 90%, why service maps barely help, and which bugs still fail.
Using 'production-similar' data in pre-production is a major security risk. Learn why traditional masking fails, where hidden PII hides, and how to fix it.