Lepton AI
Build and deploy high-performance AI applications at scale with zero infrastructure management.

Static code analysis for Kubernetes definitions with opinionated security and reliability checks.
kube-score is a specialized static analysis tool designed for Kubernetes manifests, providing a deep-dive evaluation of object definitions against best practices. In the 2026 cloud-native landscape, kube-score remains a critical component of the 'shift-left' movement, allowing platform engineers and developers to detect misconfigurations before they reach production clusters. The tool focuses on several key pillars: security (identifying root containers or missing security contexts), reliability (ensuring liveness and readiness probes are defined), and resource management (validating CPU and memory requests/limits). Architecturally, kube-score operates by parsing YAML/JSON manifests and applying a battery of opinionated tests, returning a score and detailed remediation advice for each object. This descriptive feedback loop distinguishes it from generic linters, as it provides the 'why' behind every recommendation. Its lightweight Go-based binary makes it ideal for local development hooks and CI/CD pipelines. As Kubernetes complexity grows with 2026-era microservices, kube-score's ability to enforce pod anti-affinity and network policy presence ensures that infrastructure is not only functional but resilient and secure by design.
Checks for runAsNonRoot, readOnlyRootFilesystem, and privilegeEscalation settings within pods.
Build and deploy high-performance AI applications at scale with zero infrastructure management.
The fastest polyglot Git hooks manager for high-performance engineering teams.
The version-controlled prompt registry for professional LLM orchestration.
Template-free Kubernetes configuration management for declarative application customization.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Ensures that every container has defined CPU and memory limits and requests to prevent OOM kills and CPU starvation.
Validates that Liveness and Readiness probes are configured and logically distinct for Pods.
Verifies that Pods targeted by a Service have podAntiAffinity configured to ensure high availability across nodes.
Flags any Pod that does not have a matching NetworkPolicy, preventing open lateral movement in clusters.
Checks if manifests are using deprecated or alpha/beta API versions that may be removed in future Kubernetes releases.
Allows developers to skip specific tests for edge cases using the 'kube-score/ignore' annotation.
Preventing insecure or poorly configured manifests from being deployed to production via automated pipelines.
Registry Updated:2/7/2026
Catching configuration errors early in the development lifecycle before code is even pushed to a repository.
Ensuring legacy manifests are compatible with newer Kubernetes API versions and security standards.