This project is a template for building a robust load balancer using Go. It includes several features and integrations to help you get started quickly and efficiently.
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Backend Management: Easily manage different backend servers. The template is designed to be flexible and can be extended to support various backend configurations and health checks.
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Dynamic Layered Logging: Utilize a logging agent to implement dynamic, layered logging. Logs can be written to disk, providing a comprehensive logging solution that is both powerful and easy to use.
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Error Handling: The template includes good practices for error handling, ensuring that your load balancer functions are robust and reliable. It provides a structured way to manage and log errors, making debugging and maintenance easier.
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Dockerized: The project is fully dockerized, allowing for easy deployment and scaling. You can build and run your load balancer in a consistent environment, reducing the "it works on my machine" problem.
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Kubernetes Ready: The template is ready to be deployed on Kubernetes, providing scalability and high availability. It includes configurations and best practices for running your load balancer in a Kubernetes cluster.
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CI/CD Ready: The project is set up for continuous integration and continuous deployment, enabling automated testing and deployment. This ensures that your code is always in a deployable state and can be released to production with confidence.
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Clone the Repository: Start by cloning the repository to your local machine.
git clone https://github.com/yourusername/loadbalancer-template.git cd loadbalancer-template -
Set Up Environment Variables: Copy the
.env.exampleto.envand configure your environment variables.cp .env.example .env
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Build and Run with Docker: Use Docker to build and run your load balancer.
docker-compose up --build
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Deploy to Kubernetes: Use the provided Kubernetes manifests to deploy your load balancer.
kubectl apply -f k8s/
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Set Up CI/CD: Integrate with your preferred CI/CD platform to automate testing and deployment.
Contributions are welcome! Please read the contributing guidelines before submitting a pull request.
This project is licensed under the MIT License. See the LICENSE file for details.