r9docker/ddpm repository overview

The Distributed Data Pipeline Manager (DDPM) is a robust, scalable, and modular solution for managing data pipelines across distributed systems. Designed with flexibility and performance in mind, DDPM simplifies data processing and integration tasks in hybrid, cloud, and on-premise environments.

Key Features:

• Plugin-based Architecture: Supports custom parsers for various data formats.
• Extensibility: Easily integrates with existing data processing frameworks.
• Containerized Deployment: Streamlined setup and configuration using Docker and Kubernetes.
• Observability: Built-in support for metrics and profiling with Prometheus and Grafana.