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Alternatives

Products that do what Open iT ComputeAnalyzer™ does

Monitor HPC, GRID, and server utilization accurately

  1. 1UA

    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…

    Apr 2026 · systalyze.com

  2. 2
    Usage465

    System activity monitor for Mac and iPhone

    2025

  3. 3AO

    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…

    2024 · github.com

  4. 4
    OpenMeter459

    Usage metering for engineers

    2023

  5. 5
    Trench281

    Open source analytics infrastructure

    2024

  6. 6

    Now GA: the ducking simple analytics data warehouse

    2024

  7. 7

    Optimize storage usage and cut IT costs

    Feb 2026 · openit.com

  8. 8

    Open-source DORA metrics for software engineering teams

    2024

  9. 9
    Paradime216

    The operating system for analytics

    2022

  10. 10JA

    Hi HN, 8 months ago, I posted “Ask HN: I built it nobody came, what now?” and got a ton of (not very optimistic) feedback [1]. I took away 3 things: 1. The message wasn’t properly targeted 2. The onboarding experience was terrible. 3. Someone posted some advice to find leads which actually worked, yeah! So here we are. 8 months later. I unfortunately didn’t have a lot of time to put in the tool itself. But I improved the website, improved the onboarding, and got a paying customer who seems to really like the software. So here it is in its current form. Let me know what you think would make…

    2021 · jigdev.com

  11. 11VD
  12. 12

    Real-time production monitoring of ML models, made simple.

    2019

  13. 13SW

    Hi HN, I’d like to share Slurm-web, an open source web interface to monitor Slurm HPC & AI clusters in real time. It provides a read-only overview of job queues and node status with metrics and advanced visualizations – useful to sysadmins, managers and end-users – without needing to SSH in or run command-line tools. Slurm is the world's leading workload manager and the de facto standard for HPC and AI clusters. It has a powerful command-line interface, but it's complex to use. Many HPC centers deploy advanced stacks to create custom dashboards with exporters, Prometheus, InfluxDB, Grafana,…

    2025 · slurm-web.com

  14. 14GM

    2024 · github.com

  15. 15
    Trace85

    A lightweight GraphQL query performance monitoring dev tool

    2021

  16. 16AP

    Hey HN, I made a Windows process monitor for app developers and advanced end users. I wanted a taskmgr system-level graph view per app. Windows procmon, while capable, has always been tedious to set up (esp. if not used often). That's pretty much the whole idea behind the app--to simplify app-level monitoring, to make it easy. I hope some of you find it useful!

    2025 · pragmar.com

  17. 17QH
  18. 18
    TraceLLM100

    OpenTelemetry for production AI applications

    Jul 2026 · tracellm.in

  19. 19CC

    Hi HN! We’re Arthur and Adrien from CodSpeed. We’re building a tool measuring software performance before any production deployment, catching performance regressions before they hit production environments and reporting performance changes directly in Pull Request comments. It’s kind of like Codecov but for performance measurement. Today, the go to solution to measure performance is probably to use an APM(DataDog, Sentry, …), continuously analyzing your production environment. However, since those solutions are operating on real environments they need real users to experience poor…

    2023 · codspeed.io

  20. 20LB
  21. 21RT

    2012 · dashboard.graphdat.com

  22. 22ET
  23. 23CC
  24. 24PC

    Hey HN! We are happy to share Perforator – our internal cluster-wide profiler with great support for native languages and a built-in AutoFDO pipeline to simplify sPGO builds. Perforator allows you to profile most binaries without having to recompile or adjust the build process. We use it at Yandex to profile each pod inside a large cluster at modest speed (99Hz), collecting petabytes of profiles every day. There's a blog post about it at https://medium.com/yandex/yandexs-high-performance-profiler-.... Inspired by Google-Wide Profiling, we started continuous profiling…

    2025 · github.com

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