Cloud systems don’t fail simply…
They fail cryptically.
And today, we finally decode the mystery.
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In the previous edition, CAAT taught your observability pipeline what to collect intelligently.
Now, T-RAG goes a level deeper — it explains
why your system failed,
where it originated,
and what context makes it meaningful.
T-RAG introduces a Trace-Native Retrieval-Augmented Generation engine that transforms raw spans into explainable, LLM-powered RCA.
It embeds traces, retrieves historical patterns, and reasons like your smartest SRE — but with perfect recall.
This is not traditional observability.
This is Cognitive Observability.
If CAAT optimized your telemetry…
T-RAG decodes your failures.
And together, they form the foundation of the MindOps journey — an autonomous, AI-driven future for cloud operations.
Full article, architecture, and walkthrough: (link your newsletter)
Full source code now available on GitHub:
https://github.com/Huzefaaa2/MindOps
Brace yourself — the next MindOps projects will redefine everything you know about AIOps.
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