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Based on our record, GitHub seems to be a lot more popular than Cockpit Project. While we know about 2474 links to GitHub, we've tracked only 170 mentions of Cockpit Project. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Check out libvirtd based stacks, because that's what's supported by upstream Linux. Some shops here migrate to proxmox as a UI because of certification requirements, but I migrated some of my customers to cockpit dashboard, and some to kubernetes. It's always a matter of scale and provisioning requirements. Cockpit is my favorite so far because it's easy to setup, but its focus isn't cluster scale, which is what... - Source: Hacker News / 10 months ago
Probably the closest thing that already exists is just running Cockpit[1]. 45Drives even maintains some helpful storage and file sharing plugins for it[2], though some of those are only compatible with x86 for now. [1] https://cockpit-project.org [2] https://github.com/45Drives?q=cockpit. - Source: Hacker News / 12 months ago
Do we really need another GUI for kvm/qemu? I was thinking that https://cockpit-project.org cover the idea to develop something like Karton, but who am I to think so =). - Source: Hacker News / about 1 year ago
You can get the info about cockpit on the official website. But, the most convenient way to configure it is here in this blog. So, without wasting any second, letโs start with the practical. - Source: dev.to / about 2 years ago
I would personally prefer a hypervisor as the base OS and VMs for every role, like separate VM for NAS functionality, separate VM for media, etc. As per hypervisor, I would recommend taking a look at Proxmox as a good enough Linux-based and low-resource demanding hypervisor. Another Linux option would be pure KVM on any Linux distro you like + Cockpit and Cockpit machines (https://cockpit-project.org/) to manage VMs. Source: over 2 years ago
Import struct, json, urllib.request REL = "https://github.com/{owner}/{repo}/releases/download/{tag}/" PART = ["...part1.zip.001", "...part2.zip.002", "...part3.zip.003"] SIZE = [1992294400, 1992294400, 1893639808] # from the releases API Def grab(part, start, end, out): # HTTP range fetch req = urllib.request.Request(REL + PART[part], Headers={"Range":... - Source: dev.to / 3 days ago
Is published at https://github.com/.keys so an SSH server to which you connect could do a reverse lookup. This is the reason why my ~/.ssh/config has those 2 lines at the end:- Source: Hacker News / 10 days agoHost *.
All of this assumes you can actually inspect what the agent did โ the real inputs after resolution, the real tool outputs, the real intermediate steps. That is the other half of the workflow. AgentLens captures the trace: every model and tool step, resolved inputs, raw outputs. agent-eval scores and gates the output; AgentLens gives you the unforgeable, agent-didn't-author trace data for Tier 1+2 to score against... - Source: dev.to / 11 days ago
# git: the API token, plus the credential used for the push Kubectl create secret generic foreman-github \ --from-literal=GITHUB_TOKEN="$GITHUB_TOKEN" -n foreman-system Kubectl create secret generic foreman-git-credentials \ --from-literal=token="$GITHUB_TOKEN" -n foreman-system Helm upgrade foreman llmkube/foreman -n foreman-system --reuse-values \ --set agent.githubToken.secretName=foreman-github \ ... - Source: dev.to / 11 days ago
This is why eval and observability ship as a unit, not as separate purchases. agent-eval scores and gates the output โ the tiers above, drift, hallucination. AgentLens captures the trace of how the agent got there: every model step and tool call, the resolved inputs, the raw outputs, the trajectory. Two things fall out of that:. - Source: dev.to / 21 days ago
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