Kubernetes Resource Cleanup Tools

KRR is an open-source tool for analyzing Kubernetes resource requests and recommendations. It evaluates how pods are currently configured and provides suggestions for optimizing CPU and memory allocations based on actual usage patterns. The project focuses on helping teams right-size their Kubernetes workloads by identifying over-provisioned and under-provisioned resources. It scans clusters and generates reports that highlight where adjustments can reduce costs or improve performance without compromising reliability. KRR is distributed as a Python command-line tool that can be run directly

docker-gc is a garbage collection tool for Docker hosts designed to reclaim disk space by automatically removing exited containers, unused images, and dangling volumes. It functions as a resource cleaner that optimizes host storage through the lifecycle management of orphaned or inactive container resources. The utility manages image retention by preserving a minimum number of the most recent images per repository while deleting older versions. It employs configurable grace periods to determine when images and containers become eligible for deletion and supports pattern-based exclusion to pre

Helm Dashboard is a web-based interface for managing and monitoring Helm releases in Kubernetes clusters. It provides a graphical alternative to the command line for viewing deployed releases, inspecting installed charts, and performing the full lifecycle of Helm operations including installation, upgrades, rollbacks, and uninstalls. The dashboard enables users to browse releases with filtering by namespace or name, view revision history and deployment details, and compare manifest or values differences between revisions before applying changes. It supports deploying charts from repositories,

Velero is a backup and recovery tool for Kubernetes cluster resources and persistent volumes. It functions as a disaster recovery solution and a utility for migrating applications and their associated data between different clusters. The project enables the replication of production environments by cloning cluster resources into development or testing environments for validation and debugging. It provides capabilities for backing up system objects, restoring resources to a known good state, and transferring applications across environments to facilitate system transitions.

Kyverno is a Kubernetes policy engine and cloud native governance tool. It functions as a policy-as-code framework that validates, mutates, and generates resources to enforce security and governance standards within a cluster. The project distinguishes itself through a declarative policy model that utilizes native Kubernetes custom resource definitions, allowing policies to be managed as standard cluster objects without custom code. It provides specific security capabilities for container image verification and signature validation to ensure only trusted images are deployed. Its broader capa

Descheduler is a Kubernetes workload rebalancer and pod eviction manager designed to optimize resource distribution and maintain cluster stability. It identifies and removes pods that no longer satisfy scheduling constraints or health requirements, allowing the cluster to relocate them to more suitable nodes. The project provides specialized capabilities for balancing node resource utilization, enforcing topology spread constraints, and removing duplicate pods to improve distribution. It also functions as an autoscaler helper by compacting workloads onto fewer nodes to facilitate the downscal