gabdiax

4 ms·

1.
by gabdiax 7mo ago
I’m building EventSentinel.ai, a predictive AI platform that monitors hardware and network infrastructure to detect early signals of failures and connectivity issues before they cause downtime. I’m looking for a few early-stage design partn
2.
by gabdiax 7mo ago
I’m building EventSentinel.ai, a predictive AI platform that monitors hardware and network infrastructure to detect early signals of failures and connectivity issues before they cause downtime. I’m looking for a few early-stage design partn
3.
by gabdiax 7mo ago
That's really interesting. Using statistical process control for failure rates in HPC systems sounds like a very solid approach. In your experience, were there usually early signals in metrics before job failures increased? For example
4.
by gabdiax 7mo ago
One thing I'm particularly curious about is whether teams see early signals in metrics or logs before incidents actually happen. For example: - unusual latency patterns - slow resource saturation - network anomalies Do people actively
5.
by gabdiax 7mo ago
It feels like the traditional fixed SaaS pricing model is slowly shifting toward more consumption-based pricing.
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by gabdiax 7mo ago
Still very early stage, mostly research and prototypes for now.
7.
by gabdiax 7mo ago
I'm also curious about this. In some cases I've seen teams rely on a mix of automated metrics and human review, especially for production systems where reliability matters a lot. But evaluation pipelines for AI still seem much les
8.
Do monitoring tools still miss early signals before incidents?
3 points by gabdiax 7mo ago|5 comments