This release fixes issues for SREs watching stability and regressions.
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 summaryFixed Prometheus metric export for v0.12.10 and v0.14 versions.
Full changelog
Changelog
Bug Fixes
- 3e072baff5184a9b967f8852c42194a5fd32735a fix(export): emit v0.12.10 + v0.14 metric families on Prometheus path
Other
- 5c76255aeca02d4731fc52f4efa340db24f67fee chore(docs): release v0.14.1 (CHANGELOG + version pin sync)
- e8b853bd94f7796587015ce662c59773cdd150be test: end-to-end harness + README quickstart CI gate
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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]