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How do you troubleshoot a production server today?

I have a question for developers, DevOps engineers, and founders who manage their own infrastructure.

When production starts acting up, what's your usual workflow?

Mine usually looked something like this:

  • SSH into the server

  • Check CPU and memory usage

  • Run docker ps

  • Inspect logs

  • Check disk space

  • Compare production with staging

  • Repeat on another server if needed

Even for simple questions, I found myself hopping between terminals and trying to piece everything together.

That frustration is what led me to build Thread Nimbus.

It's an AI-powered SSH client that lets you connect to your own servers and ask questions in plain English, such as:

"Help me understand my CPU usage."

"What's consuming my disk space?"

"Which Docker container is using the most memory?"

"Compare production and staging."

It analyzes your infrastructure, explains what's happening, and recommends safe actions. Any change still requires your approval—you stay in complete control.

I'm launching Thread Nimbus on August 15, and I'd really value feedback from people who manage servers regularly.

I'd love to hear your thoughts:

  • What's the first command you usually run after SSH-ing into a server?

  • Is there a troubleshooting task you wish could be simplified?

  • Would you trust an AI that can analyze your infrastructure but only acts after your approval? Why or why not?

I'm building this based on real developer feedback, so don't hold back. I'd love to know what would make a tool like this genuinely useful for you. 🚀

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Thread Nimbus
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    The “only acts after your approval” boundary is interesting. If you eventually allow the AI to execute approved infrastructure changes, how would you handle a case where the approval was valid when given, but the production state materially changed before the action executed? Would the original approval still stand, or would the changed state invalidate it and force a fresh decision? That approval-to-execution gap seems especially important with production infrastructure.
  2. 1

    What stood out to me is that you're changing the operator's job from remembering commands to evaluating explanations.

    That's a subtle but important shift. The value isn't replacing SSH—it's reducing the effort required to understand what's happening before deciding what to do next.

    1. 1

      That's exactly the direction we're aiming for. SSH isn't the problem—it's the time spent gathering context before you can make a confident decision. We want Thread Nimbus to reduce that cognitive load while keeping the operator fully in control of every action.

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        I appreciate you taking the time to explain your thinking.

        I'd be interested in continuing the conversation by email if you're open to it. What's the best email to reach you on?