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ingero-io/ingero

v0.12.1 Feature

This release adds 1 notable feature for engineering teams evaluating rollout.

Published 1mo MCP Data & Storage
✓ No known CVEs patched
Read the diff → Tool health → What is this tool? →

✓ 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

Affected surfaces

breaking_upgrade

Summary

AI summary

Added agent‑side NCCL collective uprobe instrumentation.

Full changelog

Changelog

Features

  • b80e5bf8f14ecf228afbb40cb13d603b4e87f9e8 feat(nccl): agent-side NCCL collective uprobe instrumentation

Other

  • 731a9207254163d76867f83fa77f8ff78e6bdd57 build(bpf): regenerate cuda CO-RE objects after walker header changes
  • e75d11e3653110af2036c00a1d38a4c154de89d7 walker: narrow harvester to 3.11 and add walker_310 diagnostic counters
  • 7b404086ead138ad204405c7df604ba9a14693a3 chore(docs): sync version pins to v0.11.0 (#39)
  • 6a232dbf08b74806eb37ea8a8e0d5d39d37afcfd chore: broaden .lambdalabs-vm*.json gitignore
  • 96fe1d93ed3df6cff4c1ab15ed4c087be2f77fe5 clean up README
  • 044484bc504f3b166b6ab33adda2093075596fd5 scripts/lambdalabs: env-var overrides for parallel multi-arch deploys
  • 8c1a3defd3e75b1531c247f3116330eb2f5ed516 test+harden: reliability gaps surfaced by QA audit
  • a0b90791b1bbae73cb13e3c1b8da28412b16ffe7 v0.12.1: agent-side hardening + barrier-wait + Send/Recv probes
View diff on GitHub

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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.

All releases →

Related context

Earlier breaking changes

  • v0.17.0 Dropped 'annotate --socket' option from CLI.

Beta — feedback welcome: [email protected]