ebpf

Exploring Tetragon and eBPF Technology

Introduction

In the rapidly evolving landscape of cloud-native technologies, Tetragon has emerged as a powerful tool leveraging eBPF (extended Berkeley Packet Filter) to enhance security observability and runtime enforcement in Kubernetes environments. This blog post delves into the intricacies of Tetragon, its underlying eBPF technology, and how it compares to other solutions in the market.

Understanding eBPF

eBPF is a revolutionary technology that allows sandboxed programs to run within the operating system kernel, extending its capabilities without modifying the kernel source code or loading kernel modules.

What is Tetragon?

Tetragon is an eBPF-based security observability and runtime enforcement tool designed specifically for Kubernetes.

Key Features of Tetragon

  1. Minimal Overhead: Tetragon leverages eBPF to provide deep observability with low performance overhead, mitigating risks without the latency introduced by user-space processing.
  2. Kubernetes-Aware: Tetragon extends Cilium’s design by recognizing workload identities like namespace and pod metadata, surpassing traditional observability.
  3. Real-time Policy Enforcement: Tetragon performs synchronous monitoring, filtering, and enforcement entirely within the kernel, providing real-time security.
  4. Advanced Application Insights: Tetragon captures events such as process execution, network communications, and file access, offering comprehensive monitoring capabilities.

Tetragon vs. Other Solutions

While Tetragon offers a robust set of features, it’s essential to compare it with other eBPF-based solutions to understand its unique value proposition.

  1. Cilium: As the predecessor to Tetragon, Cilium focuses primarily on networking and security for Kubernetes. While Cilium provides runtime security detection and response capabilities, Tetragon extends these features with enhanced observability and real-time enforcement.
  2. Falco: Another popular eBPF-based security tool, Falco specializes in runtime security monitoring. However, Tetragon’s integration with Kubernetes and its ability to enforce policies at the kernel level provide a more comprehensive security solution.
  3. Sysdig: Sysdig offers deep visibility into containerized environments using eBPF. While it excels in monitoring and troubleshooting, Tetragon’s focus on real-time policy enforcement and minimal overhead makes it a more suitable choice for security-centric applications.

Conclusion

Tetragon represents a significant advancement in the realm of Kubernetes security and observability. By harnessing the power of eBPF, Tetragon provides deep insights and real-time enforcement capabilities with minimal performance overhead. Its seamless integration with Kubernetes and advanced application insights make it a compelling choice for organizations looking to enhance their cloud-native security posture.

As the landscape of eBPF-based tools continues to evolve, Tetragon stands out for its comprehensive approach to security observability and runtime enforcement.

Whether you’re already using eBPF technologies or considering their adoption, Tetragon offers a robust solution that addresses the unique challenges of modern cloud-native environments.

Feel free to ask if you need more details or have any specific questions about Tetragon or eBPF!

Exploring Tetragon and eBPF Technology Read More »

How to Install Pixie on a Ubuntu VM

Pixie is an open source observability platform that uses eBPF to collect and analyze data from Kubernetes applications. Pixie can help you monitor and debug your applications without any code changes or instrumentation. In this blog post, I will show you how to install Pixie on a stand-alone virtual machine using Minikube, a tool that lets you run Kubernetes locally.

Prerequisites

To follow this tutorial, you will need:

• A stand-alone virtual machine running Ubuntu 22.04 or later. This tutorial assumes that the VM

  • has at least 6 vCPUs and at least 16 GB RAM
  • is installed with Desktop and has a Web Browser, which will be later used for user’s authentication with Pixie Community Cloud. An alternative auth method is described here.

• Basic dev tools such as build-essential, git, curl, make, gcc, etc.

• Docker, a software that allows you to run containers.

• KVM2 driver, a hypervisor that allows you to run virtual machines.

• Kubectl, a command-line tool that allows you to interact with Kubernetes.

• Minikube, a tool that allows you to run Kubernetes locally.

• Optionally, Go and/or Python, programming languages that allow you to write Pixie scripts.

Step 1: Update and Upgrade Your System

The first step is to update and upgrade your system to ensure that you have the latest packages and dependencies. You can do this by running the following command:

sudo apt update -y && sudo apt upgrade -y

Step 2: Install Basic Dev Tools

The next step is to install some basic dev tools that you will need to build and run Pixie. You can do this by running the following command:

sudo apt install -y build-essential git curl make gcc libssl-dev bc libelf-dev libcap-dev \
clang gcc-multilib llvm libncurses5-dev git pkg-config libmnl-dev bison flex \
graphviz software-properties-common wget htop

Step 3: Install Docker

Docker is a software that allows you to run containers, which are isolated environments that can run applications. You will need Docker to run Pixie and its components. To install Docker, you can follow the instructions from the official Docker website:

# Add Docker's official GPG key:
sudo apt install -y ca-certificates curl gnupg
sudo install -m 0755 -d /etc/apt/keyrings
curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --dearmor -o /etc/apt/keyrings/docker.gpg
sudo chmod a+r /etc/apt/keyrings/docker.gpg
# Add the repository to Apt sources:
echo \
"deb [arch=$(dpkg --print-architecture) signed-by=/etc/apt/keyrings/docker.gpg] https://download.docker.com/linux/ubuntu \
$(. /etc/os-release && echo "$VERSION_CODENAME") stable" | \
sudo tee /etc/apt/sources.list.d/docker.list > /dev/null
sudo apt update -y
# docker install
sudo apt install docker-ce docker-ce-cli containerd.io docker-buildx-plugin docker-compose-plugin

Step 4: Add Your User to the ‘docker’ Group

By default, Docker requires root privileges to run containers. To avoid this, you can add your user to the ‘docker’ group, which will allow you to run Docker commands without sudo. To do this, you can follow the instructions from the DigitalOcean website:

sudo usermod -aG docker ${USER}

Step 5: Install KVM2 Driver

KVM2 driver is a hypervisor that allows you to run virtual machines. You will need KVM2 driver to run Minikube, which will create a virtual machine to run Kubernetes. To install KVM2 driver, you can follow the instructions from the Ubuntu website:

sudo apt-get install qemu-kvm libvirt-daemon-system libvirt-clients bridge-utils
sudo adduser id -un libvirt
sudo adduser id -un kvm

Step 6: Install Kubectl

Kubectl is a command-line tool that allows you to interact with Kubernetes. You will need kubectl to deploy and manage Pixie and its components on Kubernetes. To install kubectl, you can follow the instructions from the Kubernetes website:

curl -LO "https://dl.k8s.io/release/$(curl -L -s https://dl.k8s.io/release/stable.txt)/bin/linux/amd64/kubectl"
curl -LO "https://dl.k8s.io/release/$(curl -L -s https://dl.k8s.io/release/stable.txt)/bin/linux/amd64/kubectl.sha256"
echo "$(cat kubectl.sha256) kubectl" | sha256sum --check

This should print:

kubectl: OK
# install kubectl
sudo install -o root -g root -m 0755 kubectl /usr/local/bin/kubectl

Test kubectl version:

kubectl version --client

Step 7: Install Minikube

Minikube is a tool that allows you to run Kubernetes locally. You will need Minikube to create a local Kubernetes cluster that will run Pixie and its components. To install Minikube, you can follow the instructions from the Minikube website:

curl -LO https://storage.googleapis.com/minikube/releases/latest/minikube-linux-amd64
sudo install minikube-linux-amd64 /usr/local/bin/minikube

Step 8: Reboot Your System

After installing all the required tools, you should reboot your system to ensure that the changes take effect. You can do this by running the following command:

sudo reboot

Step 9: Run Kubernetes with Minikube

After rebooting your system, you can run Kubernetes with Minikube. Minikube will create a virtual machine and install Kubernetes on it. You can specify various options and configurations for Minikube, such as the driver, the CNI, the CPU, and the memory. For example, you can run the following command to start Minikube with the KVM2 driver, the flannel CNI, 4 CPUs, and 8000 MB of memory:

minikube start --driver=kvm2 --cni=flannel --cpus=4 --memory=8000

You can also specify a profile name for your Minikube cluster, such as px-test, by adding the -p flag, if you want.

You can list all the clusters and their profiles by running the following command:

minikube profile list

This should print something like:

ProfileVM DriverRuntimeIPPortVersionStatusNodesActive
minikubekvm2docker192.168.39.1608443v1.27.4Running1*
———-———–————————-——————————-——–

Step 10: Install Pixie

Pixie is an open source observability platform that uses eBPF to collect and analyze data from Kubernetes applications. Pixie can help you monitor and debug your applications without any code changes or instrumentation. To install Pixie, you can run the following command:

bash -c "$(curl -fsSL https://withpixie.ai/install.sh)"

This will download and run the Pixie install script, which will guide you through the installation process. After installing Pixie, you should reboot your system to ensure that the changes take effect. You can do this by running the following command:

sudo reboot

Step 11: Start Kubernetes Cluster and Deploy Pixie

After rebooting your system, you can start your Kubernetes cluster again with Minikube. You can use the same command and options that you used before, or you can omit them if you have only one cluster and profile. For example:

minikube start
px deploy

Step 12: Register with Pixie Community Cloud and Check All Works

After starting your Kubernetes cluster, you can check if everything works as expected. You can use the following command to list all the pods in all namespaces and see if they are running:

kubectl get pods -A

Register with Pixie Community Cloud to see your K8s cluster’s stats.

You will have to authenticate with Pixie and log in to the Pixie platform at your VM using a web browser, which Pixie will open for you once you run:

px auth login

Step 13: Deploy Pixie’s Demo

Pixie provides a few demo apps. We deploy a demo application called px-sock-shop, which is a sample online shop that sells socks, based on an open source microservices demo. Some more information on this demo app is available here. The demo shows how Pixie can be used to monitor and debug the microservices running on Kubernetes. To deploy Pixie’s demo, run:

px demo deploy px-sock-shop

Your view in Pixie Community Cloud should be similar to this screenshot

How to Install Pixie on a Ubuntu VM Read More »