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Chaos engineering tool written in C/Go to test the resilience of TCP/UDP-based applications within Kubernetes environments, simulating various network conditions and failures to ensure the reliability of the overall system.

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obzev0 : Chaos Engineering Tool

Obzev0 is a chaos engineering tool designed to help you test the resilience of your systems by simulating real-world failures. It allows you to define and execute chaos experiments to uncover weaknesses in your infrastructure and applications.

Tech Stack

  • Language: Go (for the controller and gRPC server), C (for the eBPF program).
  • Frameworks/Libraries: Kubernetes client-go (for interacting with the Kubernetes API), gRPC (for communication between components), eBPF (for kernel space programming).
  • Monitoring: Prometheus and Grafana for monitoring and visualization.

Architecture

Obzev0 is built using a microservices architecture, with the following components:

  • Controller: Responsible for watching Custom Resource Definitions (CRDs) representing chaos scenarios and dispatching work to the DaemonSet.
  • DaemonSet: Runs on every node in the Kubernetes cluster and acts as a gRPC server. It executes the chaos scenarios and communicates with the eBPF program in the kernel space.
  • eBPF Program: Written in C, it runs in the kernel space and is responsible for monitoring and manipulating network traffic for performance monitoring.

Features

Latency Injection

  • Simulate network latency by adding configurable delays to incoming and outgoing requests
  • Customize delay duration for each service to test specific latency thresholds

Packet Manipulation

  • Introduce packet loss with configurable drop rates
  • Corrupt specific packets to test handling of incomplete or malformed data
  • Apply packet manipulation rules for defined periods

Traffic Monitoring with eBPF

  • Track network traffic on specific interfaces using eBPF programs
  • Collect detailed metrics on packet flow, dropped packets, and corrupted packets

Self-cleaning TCP Proxy for Testing

  • Route traffic through a transparent TCP proxy to apply latency and packet manipulation
  • Configure different target services for testing under various network conditions

Dynamic Configuration

  • Manage chaos experiments through a simple gRPC interface
  • Enable or disable individual services based on testing needs

Metrics Exposure to Prometheus

  • Expose critical chaos engineering metrics to Prometheus for monitoring and alerting
  • View and analyze metrics such as latency impact, packet loss, and traffic anomalies over time

Installation

Prerequisites

  • Go 1.17+
  • Helm and Kubernetes (for cloud-native environments)
  • Prometheus (for collecting chaos engineering metrics)

Install with Helm

  1. Add the Helm repository:
helm repo add obzev0 https://lumbrjx.github.io/obzev0/chart
helm repo update
  1. Install Obzev0:
helm install obzev0 obzev0/obzev0

Install obzevMini (for non-Kubernetes environments)

Download the binary:

curl -o obzevMini https://raw.githubusercontent.com/lumbrjx/obzev0/main/cmd/cli/obzev0mini
chmod +x obzevMini

Build from Source

  1. Clone the repository:
git clone https://github.com/lumbrjx/obzev0.git
cd obzev0
  1. For Helm and Kubernetes:
    • Build the DaemonSet:
      make build-daemon TAG=<tag>
    • Build the controller:
      make build-controller TAG=<tag>
    • Package Helm chart:
      make package-chart

Make sure to give your docker image the "latest" tag and push it to a container registry.

  1. For obzevMini:
    • Build the binary:
      make build-cli

Usage

Helm

  1. Install the chart:
helm install <release-name> obzev0/obzev0
  1. Grant controller permissions:
kubectl create clusterrolebinding permissive-binding \
  --clusterrole=cluster-admin \
  --serviceaccount=controller-system:controller-controller-manager
  1. Label nodes:

    • Control plane:
      kubectl label nodes <node-name> node-role.kubernetes.io/control-plane=""
    • Worker nodes:
      kubectl label nodes <node-name> node-role.kubernetes.io/worker=""
  2. Apply Custom Resource:

The chart folder already contains a Custom Resource and you still can define your own one. here's the CR file and apply the changes by running:

kubectl apply -f path/to/CR/file

run locally with kind

after clonning the repo you can run the following command and have everything done for you:

make all TAG=latest

it will use a simple dummy express server you can access it here and the service

obzevMini

  1. Launch the Daemon Docker container:
docker run -p 50051:50051 lumbrjx/obzev0-grpc-daemon:latest
  1. Initialize configuration:
obzevMini init -Addr=127.0.0.1:50051 -dist=path/to/destination/folder/
  1. Apply configuration:
obzevMini apply -path=path/to/configuration/file

Contributing

We welcome contributions to Obzev0! Whether you're fixing bugs, adding features, or improving documentation, your contributions are valuable.

For questions or discussions, contact the project maintainers at [email protected].