K8sToolbox

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K8sToolbox

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K8sToolbox is a versatile toolkit designed for managing Kubernetes clusters, providing essential debugging tools and utilities for cluster administrators and developers.

Overview

K8sToolbox is an all-in-one, versatile toolkit engineered to streamline the management and troubleshooting of Kubernetes clusters. It serves as a one-stop solution for all Kubernetes management and troubleshooting needs, providing everything required to maintain and optimize your cluster environments. It provides a comprehensive suite of powerful debugging, diagnostic, and operational tools designed specifically for cluster administrators, DevOps engineers, and developers. With K8sToolbox, users gain the ability to efficiently manage workloads, diagnose issues, and maintain optimal performance of Kubernetes environments.

Equipped with a rich collection of utilities that include advanced network diagnostics, automated health checks, resource monitoring, and recovery mechanisms, K8sToolbox empowers teams to proactively identify and resolve cluster-related challenges. Whether you need to aggregate logs, test pod connectivity, manage resources, or troubleshoot network policies, K8sToolbox offers a unified solution that significantly reduces complexity while enhancing productivity.

K8sToolbox integrates essential third-party utilities like kubectl, stern, k9s, and mc (MinIO Client), providing a seamless, command-driven experience for interacting with Kubernetes clusters. This toolkit not only simplifies debugging processes but also provides the scalability and robustness necessary to maintain large-scale, multi-node environments effectively. By combining a vast array of capabilities into a single, easy-to-use image, K8sToolbox ensures that Kubernetes management is more accessible, efficient, and reliable than ever before.

Tools included: curl, iproute2, iputils, netcat-openbsd, tcpdump, bind-tools, traceroute, iperf3, jq, strace, htop, iftop, net-tools, rsync, openssl, gpg, vim, nano, busybox-extras, mariadb-client, postgresql-client, redis, mongodb-tools, helm, socat, ncdu, bash, ca-certificates, conntrack-tools, ethtool, iptables, less, mtr, openssh-client, psmisc, tcptraceroute, ngrep, yq, kubectl, stern, k9s, mc, nmap, screen, tmux

Use Cases

K8sToolbox is perfect for:

With K8sToolbox, you can:

Folder Structure

K8sToolbox/
│
├── docker/
│   └── Dockerfile              # Docker image definition for building K8sToolbox
│
├── manifests/
│   ├── debug-daemon.yaml       # DaemonSet manifest for deploying K8sToolbox on all nodes
│   └── debug-pod.yaml          # Pod manifest for running a standalone K8sToolbox instance
│
├── scripts/                    # Collection of helpful Kubernetes management scripts
│   ├── aggregate_logs.sh
│   ├── auto_recover.sh
│   ├── auto_scaling.sh
│   ├── backup_restore.sh
│   ├── clean_stale_resources.sh
│   ├── connectivity_test.sh
│   ├── delete_stuck_crds.sh
│   ├── delete_stuck_namespace.sh
│   ├── healthcheck.sh
│   ├── network_diag.sh
│   ├── resource_usage.sh
│   ├── restart_failed_pods.sh
│   ├── snapshot_audit.sh
│   └── test_network_policy.sh
│
├── .gitignore
├── CONTRIBUTING.md             # Guidelines for contributing to K8sToolbox
├── LICENSE                     # License details (Apache License 2.0)
├── go.mod                      # Go module definition
├── main.go                     # Main Golang utility file for K8sToolbox
└── README.md                   # Documentation (you're reading this!)

Getting Started

Prerequisites

Building the Docker Image

To build the Docker image for K8sToolbox, run the following command in the root directory of the project:

docker build -t k8stoolbox:latest -f docker/Dockerfile .

This will create a Docker image named k8stoolbox that you can use locally or push to a container registry.

Deploying K8sToolbox in Kubernetes

You can deploy K8sToolbox as either a standalone Pod or as a DaemonSet to cover all nodes.

Standalone Pod

To deploy a standalone K8sToolbox pod, use the following command:

kubectl apply -f https://raw.githubusercontent.com/narmidm/K8sToolbox/refs/heads/master/manifests/debug-pod.yaml

This creates a pod named k8stoolbox-debug in the default namespace, which can be used for one-off debugging and troubleshooting tasks.

DaemonSet

To deploy K8sToolbox on all nodes, use the DaemonSet manifest:

kubectl apply -f https://raw.githubusercontent.com/narmidm/K8sToolbox/refs/heads/master/manifests/debug-daemon.yaml

This creates a DaemonSet that runs K8sToolbox on all nodes, making it accessible from anywhere in the cluster.

Utilizing K8sToolbox

There are two primary ways to use K8sToolbox:

  1. Local Execution: Running scripts directly from the local system.
  2. Kubernetes Shell Execution: Executing commands inside a running K8sToolbox pod using kubectl exec.

1. Running Scripts Locally

You can run the scripts in the /scripts directory locally if you have kubectl configured and connected to your Kubernetes cluster. “For detailed usage instructions on the scripts, please refer to Using K8sToolbox Scripts.”

Examples:

2. Running Scripts in Kubernetes Pods

You can also execute the scripts inside a running K8sToolbox pod by using kubectl exec. This is useful when you need to troubleshoot issues within the cluster itself.

First, find the name of the K8sToolbox pod:

kubectl get pods -n default -l app=k8stoolbox

Then use kubectl exec to run commands:

Available Scripts

The /scripts directory contains several useful scripts for Kubernetes management:

Symlinked Commands

For convenience, all scripts are symlinked to /usr/local/bin in the Docker image, allowing you to call them without specifying the full path. For example:

auto_recover
backup_restore backup default
clean_stale_resources default

Using K8sToolbox Scripts

This section provides detailed information on the various utility scripts available in the K8sToolbox repository, located under the /scripts directory. Each script has been crafted to assist with common Kubernetes cluster management and troubleshooting tasks. Below, you will find how to use each script, including commands to run them directly or through the symlinks set up during installation.

To learn how to use these scripts, follow the instructions provided for each script below. You can execute these commands from your local machine or within a Kubernetes pod, depending on your setup.

Running the Scripts Locally

If you have cloned the repository and have kubectl configured to interact with your cluster, you can run the scripts directly by using:

./scripts/<script_name>.sh [arguments]

Alternatively, you can use the symlinks created for each script, allowing you to run them without specifying the full path:

<script_name> [arguments]

Ensure that your shell environment includes /usr/local/bin in the $PATH so that the symlinks are accessible.

Script Details

Below is a list of all available scripts, with detailed descriptions and examples of how to use them:

  1. aggregate_logs.sh
    Aggregates logs from all pods within a specified namespace. This script is useful when you need a combined view of application logs.
    aggregate_logs <namespace>
    

    Example:

    aggregate_logs default
    

    This command will aggregate logs from all pods in the default namespace and print them to the console.

  2. auto_recover.sh
    Automatically recovers failed pods and restarts them as needed. This script can be run to automate pod recovery.
    auto_recover <namespace>
    

    Example:

    auto_recover kube-system
    

    This command will automatically recover any failed pods in the kube-system namespace by restarting them.

  3. auto_scaling.sh
    Adjusts deployment scaling based on resource usage. This script can help automate horizontal scaling.
    auto_scaling <namespace> <deployment_name> <desired_replicas>
    

    Example:

    auto_scaling default my-app 5
    

    This command will scale the deployment named my-app in the default namespace to 5 replicas.

  4. backup_restore.sh
    Backs up and restores Kubernetes resources in a namespace. Useful for disaster recovery scenarios.
    backup_restore backup <namespace>
    backup_restore restore <namespace>
    

    Example:

    backup_restore backup default
    

    This command will back up all resources in the default namespace. Use restore instead of backup to restore the resources.

  5. clean_stale_resources.sh
    Cleans up old Kubernetes resources such as completed jobs and replicasets.
    clean_stale_resources <namespace>
    

    Example:

    clean_stale_resources default
    

    This command will clean up stale resources (e.g., completed jobs, old replicasets) in the default namespace.

  6. connectivity_test.sh
    Tests network connectivity between two pods. Useful for validating network policies.
    connectivity_test <namespace> <source_pod> <target_pod>
    

    Example:

    connectivity_test default pod-a pod-b
    

    This command will test network connectivity from pod-a to pod-b in the default namespace.

  7. delete_stuck_crds.sh
    Deletes Custom Resource Definitions (CRDs) that are stuck due to finalizers.
    delete_stuck_crds <crd_name>
    

    Example:

    delete_stuck_crds my-crd
    

    This command will forcefully delete the CRD named my-crd that is stuck due to finalizers.

  8. delete_stuck_namespace.sh
    Deletes namespaces that are stuck in terminating status.
    delete_stuck_namespace <namespace>
    

    Example:

    delete_stuck_namespace default
    

    This command will delete the default namespace if it is stuck in a terminating state.

  9. healthcheck.sh
    Performs health checks on all pods within a namespace.
    healthcheck <namespace>
    

    Example:

    healthcheck kube-system
    

    This command will perform health checks on all pods in the kube-system namespace and report any issues found.

  10. network_diag.sh
    Provides advanced network diagnostics, including traffic capture between pods.
    network_diag <namespace> <source_pod> <target_pod>
    

    Example:

    network_diag default pod-a pod-b
    

    This command will perform network diagnostics between pod-a and pod-b in the default namespace, including capturing traffic if needed.

  11. resource_usage.sh
    Monitors CPU and memory usage for nodes and pods within a namespace.
    resource_usage <namespace>
    

    Example:

    resource_usage default
    

    This command will monitor and display the CPU and memory usage for all nodes and pods in the default namespace.

  12. restart_failed_pods.sh
    Restarts all failed pods in a given namespace.
    restart_failed_pods <namespace>
    

    Example:

    restart_failed_pods kube-system
    

    This command will restart all failed pods in the kube-system namespace.

  13. snapshot_audit.sh
    Takes a snapshot of the cluster state for auditing purposes.
    snapshot_audit <namespace>
    

    Example:

    snapshot_audit default
    

    This command will take a snapshot of the cluster state for the default namespace, which can be used for auditing purposes.

  14. test_network_policy.sh
    Tests network policies by attempting connections between source and target pods.
    test_network_policy <namespace> <source_pod> <target_pod>
    

    Example:

    test_network_policy default pod-a pod-b
    

    This command will test the network policies by attempting to connect from pod-a to pod-b in the default namespace.

Contributing

We welcome contributions! Please read the CONTRIBUTING.md file for guidelines on how to contribute to K8sToolbox.

License

This project is licensed under the Apache License 2.0 - see the LICENSE file for details.

Authors and Acknowledgements

K8sToolbox was inspired by various Kubernetes utility tools, including the Swiss Army Knife for DevOps. Special thanks to all contributors who helped improve this toolbox.

Future Work

Inspiration

K8sToolbox was inspired by the swiss-army-knife repository, which serves as a useful multi-purpose tool for DevOps. Our goal is to build upon that foundation and create a specialized, Kubernetes-focused toolkit that helps users effectively troubleshoot and manage their clusters.

Let us know if you have feature requests or suggestions to make K8sToolbox even better!