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Efficient Kafka Deployment on Docker and Kubernetes

This repository provides an expertly crafted configuration for deploying Kafka within Docker and Kubernetes ecosystems, focusing on best practices for stateful application management and robust monitoring. Whether you're a developer, a DevOps engineer, or a system administrator, this guide will help you set up, configure, and monitor Kafka in a containerized environment efficiently.

Key Features

  • Isolated Namespace Configuration: Detailed instructions for creating and managing separate namespaces for your Kafka deployment, enhancing security and organization.
  • Comprehensive Configuration Examples: Includes examples for ConfigMaps, Secrets, and Services, ensuring you have all the tools needed for a successful deployment.
  • Custom Script Management: Leverage ConfigMaps for managing and deploying your custom scripts with ease.
  • Headless Service Utilization: Guidelines on using headless services for internal communications, optimizing performance and resource utilization.
  • Secure Secrets Management: Integrates with HashiCorp Vault for secure storage and management of secrets, keeping your sensitive information safe.

Getting Started

Follow these steps to deploy Kafka on Docker and Kubernetes with best practices:

  1. Prepare Your Environment: Ensure Docker and Kubernetes are installed and configured on your system.
  2. Deploy Kafka: Use the provided docker-compose.yaml for Docker deployments or the Kubernetes manifest files for Kubernetes deployments.
  3. Configure Monitoring: Set up Prometheus and Grafana using our configurations for comprehensive monitoring of your Kafka cluster.
  4. Secure Your Deployment: Follow our guidelines for securing your deployment using HashiCorp Vault and headless services.

Contributing

I welcome contributions and suggestions! Please fork the repository and submit pull requests with your enhancements. For major changes, please open an issue first to discuss what you would like to change.

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in production kafka baby steps

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