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* test(e2e): harden harness and tests against data-plane pod churn A stage autoscaler scale-down produced a 2s window of ALB 502s that killed six budget tests on their first management call, and a freshly scaled-up pod that had not run its 30s DB object sync yet failed two MCP tests and one prometheus cardinality test. Retry transient gateway errors (502/503/504, connection errors) once at the shared e2e_http dispatch seam, poll MCP server registration to the poll deadline instead of asserting a single-shot listing, anchor the MCP guardrail full-sync wait to the later of the guardrail and server writes, and turn the prometheus alias poll into a drive-and-scrape convergence loop that re-sends traffic for missing aliases and unions results across scrapes * test(e2e): drain request body in retry stub handler so keep-alive reuse cannot misparse leftovers as requests * revert(e2e): drop the transient-502 retry seam A raw 502 during a pod scale-down is what a real client sees, so the suite retrying past it hides an availability gap instead of flagging it. The gateway-side fix is graceful drain on the deployment; until then the failures are signal * test(e2e): cap per-alias driver re-drives in the prometheus cardinality poll Bounds worst-case provider spend to 4 completions per alias while scrapes keep polling to the deadline; counters persist on whichever pod served them, so the cap costs no convergence unless that pod dies * test(e2e): drop driver re-drives from the prometheus cardinality poll The per-key cardinality contract is process-local and counters persist on whichever pod served the driver call, so unioning aliases across free scrape polls converges without re-sending billable traffic. The residual gap, a pod dying inside the poll window, is deferred to direct per-pod scraping |
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| .. | ||
| conftest.py | ||
| datadog_reader.py | ||
| logging_client.py | ||
| test_datadog_log_e2e.py | ||
| test_otel_trace_e2e.py | ||
| test_prometheus_cardinality_e2e.py | ||