Rafka

Rafka is a blazing-fast, experimental distributed asynchronous message broker written in Rust. It uses a peer-to-peer broker mesh architecture enabling Hyper-scalability and efficient message routing. Each broker node contains a built in custom in-memory database node acting as a "sidecar" for low-latency repetative/recent data access, while metadata management is orchestrated using a the DHT model for fault tolerance and seamless coordination. Designed for effortless native deployment with Kubernetes, Rafka is built to scale dynamically, with no single point of failure, and operate with maximum efficiency in modern distributed environments.

Current Status: Early Development

This project is in active development and Not ready for production use.

Rafka Development Checklist

Phase 1: Core Foundation

1. Basic P2P Communication

   • Implement node-to-node communication
   • Set up gRPC server and client
   • Create basic message structures
   • Implement simple node discovery

2. Message Handling

   • Develop asynchronous message queue
   • Implement basic producer/consumer logic
   • Create basic message storage functionality
   • Set up error handling

Phase 2: Distributed Systems

1. Consensus & Coordination

   • Implement consensus algorithm
   • Develop leader election mechanism
   • Create cluster state management
   • Set up configuration sharing between nodes

2. Data Management

   • Implement message replication across nodes
   • Develop partition management logic
   • Create consistency checks for data integrity
   • Set up backup mechanisms

Phase 3: Production Readiness

1. Kubernetes Integration

   • Create basic Kubernetes deployment configuration
   • Implement StatefulSet for stable storage
   • Set up service discovery within Kubernetes
   • Develop auto-scaling logic for brokers and consumers

2. Monitoring & Reliability

   • Implement basic metrics collection
   • Set up health checks for brokers and services
   • Create monitoring dashboards (e.g., Prometheus, Grafana)
   • Define alerting rules for failures or bottlenecks

Phase 4: Performance & Security

1. Performance Optimization

   • Implement message batching for efficiency
   • Add message compression for reduced network load
   • Optimize network resource usage (e.g., reduce latency)
   • Create caching layer for frequently accessed data

2. Security Implementation

   • Enable TLS encryption for secure communication
   • Implement user authentication (OAuth2)
   • Set up authorization mechanisms (role-based access control)
   • Implement audit logging for security monitoring

Phase 5: Client SDK & Documentation

1. Client Development

   • Create a Rust client SDK for message production and consumption
   • Develop example applications using the SDK
   • Implement client-side monitoring (e.g., message processing time)
   • Create client documentation and setup guides

2. Documentation

   • Write comprehensive getting started guide
   • Create detailed API documentation
   • Develop deployment guide for both local and cloud environments
   • Add troubleshooting guide to help users resolve common issues

Additional Categories

1. Network Resilience Strategies

   • Implement network redundancy (multiple paths and regions)
   • Set up load balancing to distribute traffic evenly
   • Configure fault detection and self-healing mechanisms
   • Implement traffic shaping and prioritization (e.g., QoS, rate limiting)
   • Add retry logic with exponential backoff and circuit breakers

2. High Availability & Scalability

   • Ensure data and services are replicated across multiple nodes
   • Set up auto-scaling for brokers and consumers based on load
   • Configure dynamic partitioning to scale with traffic
   • Implement horizontal scaling for both producers and consumers

Contributing

We welcome all contributions! The project is in very early stages, so there are many areas to help; listed in the checklist above.

License

Apache License 2.0 - See LICENSE for details.