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Help building an adaptive and fine-grained pod security policy
The main features of sysdiglabs/kube-psp-advisor are: Defending, Access Control and RBAC.
Projects with overlapping indexed features include: aquasecurity/kubectl-who-can — Shows which subjects have RBAC permissions to VERB [TYPE | TYPE/NAME | NONRESOURCEURL] in Kubernetes. corneliusweig/rakkess — Review Access - kubectl plugin to show an access matrix for server resources. kubernetes-sigs/headlamp — Headlamp is a Kubernetes web interface that runs as either a desktop application or a browser-based dashboard,… devtron-labs/devtron — Devtron is a Kubernetes management platform and CI/CD orchestrator designed to unify application lifecycles and… feast-dev/feast — Feast is an open-source feature store for machine learning that provides a central platform for defining, storing, and… vmware-tanzu/kubeapps — Kubeapps is a web-based application management interface for discovering, deploying, and supervising the operational…
Review Access - kubectl plugin to show an access matrix for server resources
Shows which subjects have RBAC permissions to VERB TYPE | TYPE/NAME | NONRESOURCEURL in Kubernetes.
Devtron is a Kubernetes management platform and CI/CD orchestrator designed to unify application lifecycles and infrastructure operations across multiple clusters from a single interface. It serves as a centralized dashboard for orchestrating workloads, managing security, and providing observability for Kubernetes environments. The platform distinguishes itself with a no-code workflow engine for automating container builds and software delivery pipelines, alongside a visual GitOps deployment tool for managing declarative applications and reconciling configuration drift. Its capability surfac
Feast is an open-source feature store for machine learning that provides a central platform for defining, storing, and serving features across both training and inference workflows. It operates as a declarative system where feature definitions are written as code in Python files, synchronized to a central registry, and made available for low-latency online retrieval or point-in-time correct historical joins for training datasets. The project abstracts storage behind a pluggable architecture, allowing offline and online backends to be swapped without changing retrieval logic, and coordinates ma