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This repository is no longer maintained, please checkout https://github.com/JamesTGrant/kubectl-debug.

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Quick Overview

kubectl-debug is a Kubernetes debugging tool that allows users to run a new container in running pods for troubleshooting purposes. It provides an easy way to diagnose issues in Kubernetes clusters by attaching a debug container with common debugging tools to a running pod.

Pros

  • Simplifies debugging of Kubernetes pods without modifying existing deployments
  • Supports multiple debugging scenarios, including network diagnosis and resource inspection
  • Integrates seamlessly with kubectl as a plugin
  • Provides a rich set of pre-built debugging images with common tools

Cons

  • Requires cluster-admin privileges, which may pose security concerns in some environments
  • May not work with all Kubernetes distributions or custom setups
  • Limited documentation for advanced use cases
  • Potential performance impact on the target pod during debugging sessions

Getting Started

To install kubectl-debug, run the following commands:

export PLUGIN_VERSION=0.1.1
# Linux
curl -Lo kubectl-debug.tar.gz https://github.com/aylei/kubectl-debug/releases/download/v${PLUGIN_VERSION}/kubectl-debug_${PLUGIN_VERSION}_linux_amd64.tar.gz

# MacOS
curl -Lo kubectl-debug.tar.gz https://github.com/aylei/kubectl-debug/releases/download/v${PLUGIN_VERSION}/kubectl-debug_${PLUGIN_VERSION}_darwin_amd64.tar.gz

tar -zxvf kubectl-debug.tar.gz kubectl-debug
sudo mv kubectl-debug /usr/local/bin/

To use kubectl-debug, run:

kubectl debug <pod-name> -c <container-name>

This will start a debugging session in the specified pod and container.

Competitor Comparisons

a Docker + Kubernetes network trouble-shooting swiss-army container

Pros of netshoot

  • More comprehensive set of networking and debugging tools
  • Regularly updated with new tools and improvements
  • Can be used as a standalone container for general network troubleshooting

Cons of netshoot

  • Larger image size due to the extensive set of tools
  • May require more setup and configuration for Kubernetes-specific debugging
  • Less integrated with Kubernetes native workflows

Code Comparison

netshoot:

FROM alpine:latest
RUN apk update && apk add --no-cache \
    bash tcpdump curl iperf3 mtr nmap \
    # ... (more tools)

kubectl-debug:

func (a *Agent) runDebugContainer(ctx context.Context, pod *corev1.Pod) error {
    containerName := fmt.Sprintf("%s-%s", debugContainerPrefix, uuid.NewUUID())
    container := &corev1.Container{
        Name:    containerName,
        Image:   a.image,
        Command: []string{"sleep", "infinity"},
    }
    // ... (more configuration)
}

netshoot focuses on providing a wide array of networking tools in a container image, while kubectl-debug is designed to integrate debugging capabilities directly into Kubernetes workflows. netshoot offers more flexibility for general network troubleshooting, but kubectl-debug provides a more streamlined experience for Kubernetes-specific debugging tasks.

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Cons of kubectx

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  • Lacks advanced troubleshooting tools for complex Kubernetes issues

Code Comparison

kubectx:

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kubectl-debug:

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The code examples highlight the different focus areas of these tools. kubectx provides simple commands for switching contexts and namespaces, while kubectl-debug offers more complex debugging capabilities for pods and nodes.

Both projects serve different purposes in the Kubernetes ecosystem. kubectx is ideal for users who frequently switch between contexts and namespaces, while kubectl-debug is better suited for in-depth troubleshooting and debugging of Kubernetes resources.

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Cons of kube-shell

  • Limited to kubectl operations, while kubectl-debug offers broader debugging capabilities
  • May have a steeper learning curve for users already familiar with standard kubectl usage
  • Less focused on real-time debugging of running containers

Code Comparison

kubectl-debug:

kubectl debug POD_NAME -c CONTAINER_NAME --image=busybox:latest

kube-shell:

from prompt_toolkit import prompt
from prompt_toolkit.history import FileHistory
from prompt_toolkit.auto_suggest import AutoSuggestFromHistory

The code snippets highlight the different approaches:

  • kubectl-debug focuses on attaching a debugging container to a running pod
  • kube-shell emphasizes creating an interactive shell environment with features like command history and auto-suggestions

Both tools aim to enhance the Kubernetes user experience, but kubectl-debug is more specialized for debugging tasks, while kube-shell provides a more comprehensive shell environment for general Kubernetes operations.

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Pros of krew

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  • Broader scope as a plugin manager for kubectl, allowing installation of various plugins beyond debugging
  • More active development and larger user base, leading to frequent updates and improvements

Cons of krew

  • Not specifically focused on debugging, requiring additional steps to install and use debug-specific plugins
  • May have a steeper learning curve for users only interested in debugging functionality
  • Requires separate installation and management of debug plugins, potentially increasing complexity

Code Comparison

kubectl-debug:

kubectl debug <pod-name> -c <container-name> --image=busybox:latest

krew (installing and using a debug plugin):

kubectl krew install debug
kubectl debug <pod-name> -c <container-name> --image=busybox:latest

Summary

kubectl-debug is a specialized tool for debugging Kubernetes pods, while krew is a more general-purpose plugin manager for kubectl. kubectl-debug offers a more straightforward approach for debugging tasks, but krew provides greater flexibility and access to a wider range of kubectl plugins. The choice between the two depends on whether users prefer a dedicated debugging tool or a more versatile plugin management system.

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  • Supports multiple namespaces and contexts simultaneously

Cons of k9s

  • Steeper learning curve due to its extensive feature set
  • May be overkill for simple debugging tasks
  • Requires terminal with full-screen capabilities

Code Comparison

k9s (configuration example):

k9s:
  refreshRate: 2
  maxConnRetry: 5
  enableMouse: false
  headless: false
  logoless: false
  crumbsless: false
  readOnly: false
  noIcons: false

kubectl-debug (usage example):

kubectl debug -n default pod-name --image=busybox:latest --target=container-name

k9s focuses on providing a comprehensive UI for cluster management, while kubectl-debug is specifically designed for debugging containers in a Kubernetes environment. k9s offers a more feature-rich experience but may be more complex for simple debugging tasks. kubectl-debug, on the other hand, provides a straightforward approach to container debugging but lacks the extensive management capabilities of k9s.

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README

Deprecation Notice

This repository is no longer maintained, please checkout https://github.com/JamesTGrant/kubectl-debug.

Kubectl-debug

license travis Go Report Card docker

简体中文

Overview

kubectl-debug is an out-of-tree solution for troubleshooting running pods, which allows you to run a new container in running pods for debugging purpose (examples). The new container will join the pid, network, user and ipc namespaces of the target container, so you can use arbitrary trouble-shooting tools without pre-installing them in your production container image.

Screenshots

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Quick Start

Install the kubectl debug plugin

Homebrew:

brew install aylei/tap/kubectl-debug

Download the binary:

export PLUGIN_VERSION=0.1.1
# linux x86_64
curl -Lo kubectl-debug.tar.gz https://github.com/aylei/kubectl-debug/releases/download/v${PLUGIN_VERSION}/kubectl-debug_${PLUGIN_VERSION}_linux_amd64.tar.gz
# macos
curl -Lo kubectl-debug.tar.gz https://github.com/aylei/kubectl-debug/releases/download/v${PLUGIN_VERSION}/kubectl-debug_${PLUGIN_VERSION}_darwin_amd64.tar.gz

tar -zxvf kubectl-debug.tar.gz kubectl-debug
sudo mv kubectl-debug /usr/local/bin/

For windows users, download the latest archive from the release page, decompress the package and add it to your PATH.

(Optional) Install the debug agent DaemonSet

kubectl-debug requires an agent pod to communicate with the container runtime. In the agentless mode, the agent pod can be created when a debug session starts and to be cleaned up when the session ends.(Turn on agentless mode by default)

While convenient, creating pod before debugging can be time consuming. You can install the debug agent DaemonSet and use --agentless=false params in advance to skip this:

# if your kubernetes version is v1.16 or newer
kubectl apply -f https://raw.githubusercontent.com/aylei/kubectl-debug/master/scripts/agent_daemonset.yml
# if your kubernetes is old version(<v1.16), you should change the apiVersion to extensions/v1beta1, As follows
wget https://raw.githubusercontent.com/aylei/kubectl-debug/master/scripts/agent_daemonset.yml
sed -i '' '1s/apps\/v1/extensions\/v1beta1/g' agent_daemonset.yml
kubectl apply -f agent_daemonset.yml
# or using helm
helm install kubectl-debug -n=debug-agent ./contrib/helm/kubectl-debug
# use daemonset agent mode(close agentless mode)
kubectl debug --agentless=false POD_NAME

Debug instructions

Try it out!

# kubectl 1.12.0 or higher
kubectl debug -h
# if you installed the debug agent's daemonset, you can use --agentless=false to speed up the startup.
# the default agentless mode will be used in following commands
kubectl debug POD_NAME

# in case of your pod stuck in `CrashLoopBackoff` state and cannot be connected to,
# you can fork a new pod and diagnose the problem in the forked pod
kubectl debug POD_NAME --fork

# in fork mode, if you want the copied pod retains the labels of the original pod, you can use the --fork-pod-retain-labels parameter to set(comma separated, and spaces are not allowed)
# Example is as follows
# If not set, this parameter is empty by default (Means that any labels of the original pod are not retained, and the labels of the copied pods are empty.)
kubectl debug POD_NAME --fork --fork-pod-retain-labels=<labelKeyA>,<labelKeyB>,<labelKeyC>

# in order to enable node without public IP or direct access (firewall and other reasons) to access, port-forward mode is enabled by default.
# if you don't need to turn on port-forward mode, you can use --port-forward false to turn off it.
kubectl debug POD_NAME --port-forward=false --agentless=false --daemonset-ns=kube-system --daemonset-name=debug-agent

# old versions of kubectl cannot discover plugins, you may execute the binary directly
kubectl-debug POD_NAME

# use primary docker registry, set registry kubernets secret to pull image
# the default registry-secret-name is kubectl-debug-registry-secret, the default namespace is default
# please set the secret data source as {Username: <username>, Password: <password>}
kubectl-debug POD_NAME --image calmkart/netshoot:latest --registry-secret-name <k8s_secret_name> --registry-secret-namespace <namespace>
# in default agentless mode, you can set the agent pod's resource limits/requests, for example:
# default is not set
kubectl-debug POD_NAME --agent-pod-cpu-requests=250m --agent-pod-cpu-limits=500m --agent-pod-memory-requests=200Mi --agent-pod-memory-limits=500Mi
  • You can configure the default arguments to simplify usage, refer to Configuration
  • Refer to Examples for practical debugging examples

(Optional) Create a Secret for Use with Private Docker Registries

You can use a new or existing Kubernetes dockerconfigjson secret. For example:

# Be sure to run "docker login" beforehand.
kubectl create secret generic kubectl-debug-registry-secret \
    --from-file=.dockerconfigjson=<path/to/.docker/config.json> \
    --type=kubernetes.io/dockerconfigjson

Alternatively, you can create a secret with the key authStr and a JSON payload containing a Username and Password. For example:

echo -n '{"Username": "calmkart", "Password": "calmkart"}' > ./authStr
kubectl create secret generic kubectl-debug-registry-secret --from-file=./authStr

Refer to the official Kubernetes documentation on Secrets for more ways to create them.

Build from source

Clone this repo and:

# make will build plugin binary and debug-agent image
make
# install plugin
mv kubectl-debug /usr/local/bin

# build plugin only
make plugin
# build agent only
make agent-docker

port-forward mode And agentless mode(Default opening)

  • port-foward mode: By default, kubectl-debug will directly connect with the target host. When kubectl-debug cannot connect to targetHost:agentPort, you can enable port-forward mode. In port-forward mode, the local machine listens on localhost:agentPort and forwards data to/from targetPod:agentPort.

  • agentless mode: By default, debug-agent needs to be pre-deployed on each node of the cluster, which consumes cluster resources all the time. Unfortunately, debugging Pod is a low-frequency operation. To avoid loss of cluster resources, the agentless mode has been added in #31. In agentless mode, kubectl-debug will first start debug-agent on the host where the target Pod is located, and then debug-agent starts the debug container. After the user exits, kubectl-debug will delete the debug container and kubectl-debug will delete the debug-agent pod at last.

Configuration

kubectl-debug uses nicolaka/netshoot as the default image to run debug container, and use bash as default entrypoint.

You can override the default image and entrypoint with cli flag, or even better, with config file ~/.kube/debug-config:

# debug agent listening port(outside container)
# default to 10027
agentPort: 10027

# whether using agentless mode
# default to true
agentless: true
# namespace of debug-agent pod, used in agentless mode
# default to 'default'
agentPodNamespace: default
# prefix of debug-agent pod, used in agentless mode
# default to  'debug-agent-pod'
agentPodNamePrefix: debug-agent-pod
# image of debug-agent pod, used in agentless mode
# default to 'aylei/debug-agent:latest'
agentImage: aylei/debug-agent:latest

# daemonset name of the debug-agent, used in port-forward
# default to 'debug-agent'
debugAgentDaemonset: debug-agent
# daemonset namespace of the debug-agent, used in port-forwad
# default to 'default'
debugAgentNamespace: kube-system
# whether using port-forward when connecting debug-agent
# default true
portForward: true
# image of the debug container
# default as showed
image: nicolaka/netshoot:latest
# start command of the debug container
# default ['bash']
command:
- '/bin/bash'
- '-l'
# private docker registry auth kuberntes secret
# default registrySecretName is kubectl-debug-registry-secret
# default registrySecretNamespace is default
registrySecretName: my-debug-secret
registrySecretNamespace: debug
# in agentless mode, you can set the agent pod's resource limits/requests:
# default is not set
agentCpuRequests: ""
agentCpuLimits: ""
agentMemoryRequests: ""
agentMemoryLimits: ""
# in fork mode, if you want the copied pod retains the labels of the original pod, you can change this params
# format is []string
# If not set, this parameter is empty by default (Means that any labels of the original pod are not retained, and the labels of the copied pods are empty.)
forkPodRetainLabels: []
# You can disable SSL certificate check when communicating with image registry by 
# setting registrySkipTLSVerify to true.
registrySkipTLSVerify: false
# You can set the log level with the verbosity setting
verbosity : 0

If the debug-agent is not accessible from host port, it is recommended to set portForward: true to using port-forawrd mode.

PS: kubectl-debug will always override the entrypoint of the container, which is by design to avoid users running an unwanted service by mistake(of course you can always do this explicitly).

Authorization

Currently, kubectl-debug reuse the privilege of the pod/exec sub resource to do authorization, which means that it has the same privilege requirements with the kubectl exec command.

Auditing / Security

Some teams may want to limit what debug image users are allowed to use and to have an audit record for each command they run in the debug container.

You can use the environment variable KCTLDBG_RESTRICT_IMAGE_TO restrict the agent to using a specific container image. For example putting the following in the container spec section of your daemonset yaml will force the agent to always use the image docker.io/nicolaka/netshoot:latest regardless of what the user specifies on the kubectl-debug command line

          env : 
            - name: KCTLDBG_RESTRICT_IMAGE_TO
              value: docker.io/nicolaka/netshoot:latest

If KCTLDBG_RESTRICT_IMAGE_TO is set and as a result agent is using an image that is different than what the user requested then the agent will log to standard out a message that announces what is happening. The message will include the URI's of both images.

Auditing can be enabled by placing audit: true in the agent's config file.

There are 3 settings related to auditing.

audit
Boolean value that indicates whether auditing should be enabled or not. Default value is false
audit_fifo
Template of path to a FIFO that will be used to exchange audit information from the debug container to the agent. The default value is /var/data/kubectl-debug-audit-fifo/KCTLDBG-CONTAINER-ID. If auditing is enabled then the agent will :
  1. Prior to creating the debug container, create a fifo based on the value of audit_fifo. The agent will replace KCTLDBG-CONTAINER-ID with the id of the debug container it is creating.
  2. Create a thread that reads lines of text from the FIFO and then writes log messages to standard out, where the log messages look similar to example below
    2020/05/22 17:59:58 runtime.go:717: audit - user: USERNAME/885cbd0506868985a6fc491bb59a2d3c debugee: 48107cbdacf4b478cbf1e2e34dbea6ebb48a2942c5f3d1effbacf0a216eac94f exec: 265 execve("/bin/tar", ["tar", "--help"], 0x55a8d0dfa6c0 /* 7 vars */) = 0
    Where USERNAME is the kubernetes user as determined by the client that launched the debug container and debuggee is the container id of the container being debugged.
  3. Bind mount the fifo it creates to the debugger container.
audit_shim
String array that will be placed before the command that will be run in the debug container. The default value is {"/usr/bin/strace", "-o", "KCTLDBG-FIFO", "-f", "-e", "trace=/exec"}. The agent will replace KCTLDBG-FIFO with the fifo path ( see above ) If auditing is enabled then agent will use the concatenation of the array specified by audit_shim and the original command array it was going to use.

The easiest way to enable auditing is to define a config map in the yaml you use to deploy the deamonset. You can do this by place

apiVersion : v1
kind: ConfigMap 
metadata: 
  name : kubectl-debug-agent-config
data: 
  agent-config.yml: |  
    audit: true
---    

at the top of the file, adding a configmap volume like so

        - name: config
          configMap:
            name: kubectl-debug-agent-config

and a volume mount like so

            - name: config
              mountPath: "/etc/kubectl-debug/agent-config.yml"
              subPath: agent-config.yml

.

Roadmap

kubectl-debug is supposed to be just a troubleshooting helper, and is going be replaced by the native kubectl debug command when this proposal is implemented and merged in the future kubernetes release. But for now, there is still some works to do to improve kubectl-debug.

  • Security: currently, kubectl-debug do authorization in the client-side, which should be moved to the server-side (debug-agent)
  • More unit tests
  • More real world debugging example
  • e2e tests

If you are interested in any of the above features, please file an issue to avoid potential duplication.

Contribute

Feel free to open issues and pull requests. Any feedback is highly appreciated!

Acknowledgement

This project would not be here without the effort of our contributors, thanks!