This release keeps dependencies and maintenance posture current for teams operating this tool.
Published 28d
MCP Data & Storage
✓ No known CVEs patched
✓ 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 summaryMinor fixes and improvements.
Full changelog
Changelog
Other
- 5d104cea6f2a9abcb6b38a43cda467999dbddec0 chore(docs): release v0.14.2 (CHANGELOG + version pin sync)
- 05481cf40fc32dbaa652d6eef3f3d113c021e532 ci: lambda-e2e-harness workflow_dispatch for the e2e suite
- ef2d0a0667038d2348c8ba568a48969b1631cd85 test(nccl-abi-matrix): query SQLite trace DB instead of Prometheus
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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.
Related context
Related tools
Earlier breaking changes
- v0.17.0 Dropped 'annotate --socket' option from CLI.
Beta — feedback welcome: [email protected]