This release keeps dependencies and maintenance posture current for teams operating this tool.
Published 1mo
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
- 59d9b4a6a3d1a091a0f59e1c1854168e214f53a2 chore(docs): sync version pins to v0.12.2 (#41)
- a5f9fb438d7300fd2a4c180aded83c6ba54e5042 lint: silence staticcheck S1000 / S1037 / U1000 / ST1013
- dbac019ca9dca16b3a27c7f97be7df9ede3e7a4a provider + orchestrator auto-detect; ncclCommInitAll; Attach signature cleanup
- 56ee2e937e98d15a34426820d0a0fcd59619a158 provider: harden AWS detection (instance-id shape) + URL injectable for tests
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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]