ingero-io/ingero

v0.14.0 Feature

This release adds 3 notable features for engineering teams evaluating rollout.

Published 29d MCP Data & Storage

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✓ No known CVEs patched

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✓ No known CVEs patched in this version

Topics

causal-tracing cuda cuda-graphs ebpf gpu gpu-monitoring

+11 more

gpu-observability incident-response kubernetes machine-learning mcp model-context-protocol nvidia observability pytorch sre distributed-tracing

Summary

AI summary

Added eBPF userland sensors, incorporated Boris's v0.13 work, and fixed R2/R3 issues.

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12a3ad0b9b869882f803e04835be44c94dca7ece v0.13 Slice F: harness improvements from 2026-05-04 dry run
61d4d67ee3607cea647b3a6faedf7b5129a0177b v0.13: ingero rates update CLI with embedded md fallback (Slice D)
28b448c71ba68de13d4a1570bf520be9141bbf69 v0.13: per-cgroup CUDA + CPU-stall metrics (Slice B)
ed2610c3d249b1aec579bde57315252a4dfd9a52 chore: quick start
351b23d5ecacc2450af24d3ea00166699cc72cd4 merge main (v0.12.7 hardening) into inference_wedge
80e41814e58be441b8e08890929945c272f0181a merge main (v0.12.8 docs+release) into inference_wedge
babd7223970e5bf92191ef1414a0690230bc05d6 release: v0.14.0 (eBPF userland sensors + Boris's v0.13 work + R2/R3 fixes) (#52)
0bae74c76fa716f572ce9a4f9d1886387542c026 v0.13 Slice F: harness improvements v2 from 2026-05-04 follow-up
34f2855accaf681eed4c3635cb0d78c89eb1bfaf v0.13: OTLP traces emission for detection events (Slice C agent)
1ffebef492078854cf4f617473a19619efea21b7 v0.13: Slice F AWS validation harness scripts
7fbb4dd600f9389d5413d91870945994dad2d3d6 v0.13: inference engineering corners trio (Slice A)
7d21c97b25756524e718dbaeff091d6fde878886 v0.13: pagerduty_trigger MCP tool (Slice E)
ac78e52703d4bf2723b3f26f9ab157e38655d77a v0.13: review fixes + agent YAML config loader

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About ingero-io/ingero

eBPF-based GPU causal observability agent with MCP server. Traces CUDA Runtime/Driver APIs and host kernel events to build causal chains explaining GPU latency.

ingero-io/ingero

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