mctl.ai
AI-native platform for Kubernetes and cloud ops
4 followers
AI-native platform for Kubernetes and cloud ops
4 followers
MCTL is an AI-native platform for Kubernetes and cloud infrastructure. It gives growing teams GitOps, secrets, team isolation, and AI-assisted workflows out of the box, so they can operate like a mature platform team without building one first.
The "operate like a mature platform team without building one first" pitch resonates. A lot of growing teams hit this wall around 15-20 engineers where Kubernetes complexity outpaces their ops capacity. Curious how you handle the handoff when they actually do want to build a custom internal platform - does MCTL export configs cleanly or is there some lock-in?
@mykola_kondratiuk
Our goal with mctl.ai is to accelerate teams, not lock them in. Everything we generate — infrastructure configs, workflows, and policies — is designed to be transparent, portable, and exportable (standard Kubernetes manifests, Terraform, etc.). So when a team is ready to evolve into a fully custom internal platform, they can take what they’ve built with MCTL and extend it without starting from scratch.
In a way, we see MCTL as a bridge to a mature platform team, not a replacement for one
Kubernetes manifests + Terraform as output is the right call. Standard tooling means the configs stay yours - you can take them into any pipeline without being tied to how they were generated. Makes adoption smoother too when teams don't need to learn a new abstraction layer on top of infra they already own.