Nuphos

Nuphos is an AI-native DevOps workspace for teams that want agents to help with infrastructure operations without handing over unchecked production access. The source reviewed for this listing was the Nuphos homepage and docs. The site says Nuphos gives engineering teams a shared environment where AI agents learn infrastructure, investigate issues, and operate production systems. The docs add that teams connect accounts once and agents work through short-lived, least-privilege credentials. The product is aimed at the practical middle of DevOps work: crash loops, latency spikes, cost views, cloud resources, dashboards, migration planning, and system maps. Engineers and agents share a workspace instead of jumping between terminals, consoles, dashboards, docs, and ticketing tools. That shared surface matters because operations work is rarely one command. A good incident response path needs context, permissions, evidence, a plan, and a human who can decide what action is safe. Nuphos is best for SRE teams, DevOps engineers, platform teams, and startups that already run cloud infrastructure and want to test AI agents in a controlled operating model. It is not a generic chatbot. The extracted docs describe AWS, GCP, Kubernetes, and the rest of a stack, with fine-grained IAM, approvals, memory, and audit trails. The site also lists connectors or integration targets such as Cloudflare, Vercel, GitHub, GitLab, Slack, Linear, Jira, Vanta, and Secureframe. The key safety idea is staged agency. Nuphos positions agents as systems that can observe, inspect resources, read logs, generate plans, request approval, and then take approved actions. The homepage examples show role-based controls, environment restrictions, change windows, and audit logs. For production teams, that is the difference between a useful assistant and a risky automation layer. A team can start read-only, review what the agent finds, and only expand permissions when the workflow earns trust. Pricing is not fully public in the extracted source. The website shows Try for Free, Deploy Now, and a contact-sales email. That means buyers should confirm seat, usage, connector, and deployment pricing before treating Nuphos as a fixed-cost tool. The operational cost also includes the cloud accounts, observability systems, and human review time that the team brings to the workspace. Those costs are normal for DevOps tools, but they should be tracked before agents are invited into production loops. A good first test is narrow: connect a noncritical environment, grant read-only access, and ask Nuphos to investigate one known issue such as idle spend, a noisy service, or a dashboard gap. Compare the output with what an engineer would have found manually. If the plan is clear, the audit trail is useful, and permissions stay scoped, the team can try a second workflow with explicit approval before action. That measured path is safer than treating any DevOps agent as production-ready on day one.