Want to see Kubeshark in action, right now? Visit this demo deployment of Kubeshark.

Kubeshark is an API Traffic Analyzer for Kubernetes providing real-time, protocol-level visibility into Kubernetes’ internal network, capturing and monitoring all traffic and payloads going in, out, and across containers, pods, nodes, and clusters.

Think TCPDump and Wireshark re-invented for Kubernetes.

Getting Started

To get started with Kubeshark, follow these simple steps:

• Download Kubeshark’s binary distribution from the latest release.
• Run one of the following commands:

kubeshark tap
kubeshark tap -n sock-shop (catalog-front-end)

Running any of the above commands will open the Web UI in your browser which streams the traffic in your Kubernetes cluster in real-time.

Installation Methods

Homebrew

If you’re a Homebrew user, you can effortlessly install the Kubeshark CLI with the following command:

brew install kubeshark

Helm

To use Helm, first add the helm repository and then install the chart:

helm repo add kubeshark https://helm.kubeshark.co
helm install kubeshark kubeshark/kubeshark

Building From Source

If you wish to build Kubeshark from source, you can clone the repository and run the make command. After the build is complete, the executable can be found at .bin/kubeshark.

Documentation

For more comprehensive insights and further instructions, read the documentation.

Contributing

We love pull requests! Check out the CONTRIBUTING.md for the contribution guide.

Code of Conduct

This project is open for everyone. We kindly ask our users and contributors to review our Code of Conduct.

Troubleshooting

If you encounter any issues while getting started with Kubeshark, consider the following troubleshooting tips:

• Ensure your Kubernetes environment is running correctly.
• Double-check command syntax for possible typos or errors.
• Consult the documentation for specific error messages or issues.
• If all else fails, reach out to the community on Discord or join us on Slack.

For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

Conclusion

At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.