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  15. 15CE

    Dear startups, We've recently launched our service that helps deploy capacity across AWS EC2 spot to provide high availability and up to 90% discount on compute. Magic happens by us predicting spot prices and distributing capacity across dozens of uncorrelated Spot auctions to limit exposure to possible price spikes. As serial entrepreneurs we know first hand how important it is to iterate quickly and reducing the compute cost is one of the ways to approach it. If your company's AWS bill is significant (>$10k/month) and you have an interesting use case that we can discuss - we'd be…

    2015

  16. 16RO
  17. 17GA
  18. 18BA
  19. 19WR

    Hi HN, I previously wore SWE/SRE hats on GCP. Later, I was on the other side, managing thousands of machines. The friction points of onboarding and operating cloud systems are personal problems to me. I’ve found it hard to keep track of all the random cloud resources floating around, especially as my team’s assets proliferated. Occasionally, there is a resource affecting an outage but no one remembers where it is. I am constantly frustrated by existing tooling. APIs can work, after you’ve navigated the byzantine documentation, but I often find myself doing ad-hoc tasks which are best…

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  20. 20SM
  21. 21HO

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  22. 22FA
  23. 23IX

    Hello HN! Deploying the next-generation of security telemetry technologies to production is hard, so I’m building Impulse, a fully automated XDR platform that leverages tools like Osquery and eBPF to provide real-time threat detection & integrity monitoring for servers and workstations. It detects malware from behavioural patterns rather than signatures and enables deeper visibility than legacy tools. Impulse agents can be deployed on any device or VM running Linux such as cloud VMs in VPC networks, VPS servers or personal workstations and IoTs. In terms architecture, it is organised around…

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  24. 24IB

    I created Cloud Looking Glass as a CS grad research project to build a better status page for public cloud platforms — independent and based on what users actually experience (in my experience, cloud providers tend to underreport events on public status pages). I modeled it as a time series problem: all tests are repeated every 5 minutes from three unrelated cloud accounts per platform (currently ~1,000 tests/min). The system provides full data plane, control plane, and networking coverage for AWS us-east-1, plus network testing across 25 other providers. Full coverage for GCP and Azure…

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