Skyhook
Skyhook is a production-grade internal developer platform that transforms Kubernetes into a PaaS-like experience, deployed on a company's existing cloud or cluster in minutes. It provides developers with self-service deployment via CLI, API, or UI, along with preview environments, canary deployments, and auto-scaling, while letting customers own and customize the underlying platform stack. The platform works across AWS, GCP, Azure, OCI, on-premises, or any Kubernetes cluster, and includes an AI agent that can chat with infrastructure.
- Developer Tools
- Software Only
- Artificial Intelligence
- AI Agents
Funding
Raised to date
$500KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Founder details are not available yet.
Product
Problem
Developers often face a trade-off between the operational complexity of Kubernetes and the simplicity of a Platform-as-a-Service. Engineering teams either spend significant time building and maintaining their own internal developer platform or accept the limitations and lock-in of commercial PaaS offerings, slowing down shipping velocity and increasing operational burden.
Solution
Skyhook is a production-grade internal developer platform that turns Kubernetes into a PaaS-like experience, deployed on a company's existing cloud or cluster in minutes. The platform builds, orchestrates, and manages the platform stack while letting the customer own it, retaining the flexibility to change or extend any component. Developers can deploy from CLI, API, or UI without waiting on DevOps or submitting tickets, and they gain access to preview environments, canary deployments, auto-scaling, and monitoring. Skyhook works across AWS, GCP, Azure, OCI, on-premises, or any Kubernetes cluster, providing golden paths that enable teams to move fast without breaking things. The platform includes an AI agent that knows the stack, standards, and golden paths, allowing developers and DevOps to chat with their infrastructure for context and operational insight.
Target Audience
Primary customers are engineering teams and developers who want the power of Kubernetes without its operational complexity, particularly those seeking a self-service internal developer platform that can be deployed on their existing cloud infrastructure. DevOps teams also benefit from the platform's built-in best practices, monitoring, and control features.
Features
- Self-service deployment interface via CLI, API, or UI, eliminating the need for DevOps tickets
- Preview environments and canary deployments for safe, incremental releases
- Auto-scaling capabilities powered by the Kubernetes ecosystem
- Golden paths that guide developers toward best practices while maintaining flexibility
- Built-in support for top Kubernetes ecosystem tools including ArgoCD, Kyverno, and Grafana
- AI agent that provides infrastructure context and answers questions about the stack, standards, and golden paths
- Mix-and-match tooling with no lock-in, allowing teams to retain and extend their preferred stack
- Works on AWS, GCP, Azure, OCI, on-premises, or any Kubernetes cluster