Life & fun · February 27, 2026
Open iT ComputeAnalyzer™
Monitor HPC, GRID, and server utilization accurately
What it does
Open iT ComputeAnalyzer™ provides a centralized view of system and HPC resource usage to improve performance and capacity planning. It tracks queue performance, job activity, and resource utilization across distributed environments. ComputeAnalyzer helps identify bottlenecks, align IT resources with business needs, enable chargeback, and support budgeting and vendor negotiations with accurate usage data.
Does the same job
all alternatives →- UAUtilyze – an open source GPU monitoring tool more accurate than nvtopApr 2026 · systalyze.com · ▲128
The standard GPU utilization metric reported by nvidia-smi, nvtop, Weights & Biases, Amazon CloudWatch, Google Cloud Monitoring, and Azure Monitor is highly misleading. It reports the fraction of time that any kernel is running on the GPU, which means a GPU can report 100% utilization even if only a small portion of its compute capacity is actually being used. In practice, we've seen workloads with ~1–10% real compute throughput while dashboards show 100%. This becomes a problem when teams rely on that metric for capacity planning or optimization decisions, it can make underutilized systems…
- AOAn open source performance monitoring tool2024 · github.com · ▲135
Hey HN. We’re Jay and Vadim from Highlight.io (https://highlight.io). We’re building an open source [1] monitoring platform for web applications. Today we’re excited to be sharing a performance tool we’ve been working on, which helps you inspect the latency of code execution from the client to the server. As engineers at past startups, we often had to debug slow queries, poor load times, inconsistent errors, etc... While tools like Jaegar [2] helped us inspect server-side performance, we had no way to tie user events to the traces we were inspecting. In other words, although we had…
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