Active / flagship
kube-insight
Retained Kubernetes evidence for humans and agents.
Captures sanitized list/watch history, extracts facts, changes, and topology, and exposes read-only SQL, API, and MCP surfaces for investigation.
Projects
nowake.ai projects are connected by one idea: preserve useful evidence, reduce operational noise, and keep automation inspectable for Kubernetes and cloud-native teams.
Active
Active / flagship
Retained Kubernetes evidence for humans and agents.
Captures sanitized list/watch history, extracts facts, changes, and topology, and exposes read-only SQL, API, and MCP surfaces for investigation.
Active
Service LoadBalancer Multiplexer.
A Kubernetes controller that lets many application-facing LoadBalancer Services share one provider-managed Layer 4 load balancer.
Labs / planned directions
Planned work is grouped by direction until there is a public repository or a stable project page. This keeps the organization clear without over-promising unfinished tools.
Assist alert triage and notification routing by reducing notification noise and surfacing meaningful cases with history, feedback, and operational context.
Make temporary infrastructure access easier to grant, review, and explain.
Help infrastructure capacity changes become more predictable and less manual.
Encode known workload dependency recovery patterns into Kubernetes-native automation.