About TagCache

TagCache is a lightning-fast, tag-aware in-memory cache server written in Rust, designed to deliver exceptional performance while maintaining simplicity and reliability.

Project Vision

Our vision is to provide a high-performance caching solution that bridges the gap between simple key-value stores and complex distributed caching systems. TagCache offers enterprise-grade features while remaining easy to deploy and manage.

Key Principles

Performance First

Built with Rust for maximum performance and memory safety. Every component is optimized for speed, from the multi-shard architecture to the binary TCP protocol.

Developer Experience

Simple APIs, comprehensive documentation, and intuitive tooling make TagCache easy to integrate into any application stack.

Production Ready

Authentication, monitoring, health checks, and deployment tools ensure TagCache is ready for production environments from day one.

Open Source

TagCache is open source under the MIT license, encouraging community contributions and transparency.

Architecture

TagCache employs a sophisticated multi-shard architecture that maximizes concurrency while minimizing lock contention:

• Sharded Storage: Data is distributed across multiple shards using consistent hashing
• Lock-free Operations: DashMap provides concurrent access without traditional locking
• Memory Efficient: Optimized data structures minimize memory overhead
• Tag Management: Efficient indexing enables fast tag-based operations

Technology Stack

• Core Language: Rust for performance and memory safety
• HTTP Server: Axum for high-performance web APIs
• Concurrent HashMap: DashMap for lock-free concurrent access
• Serialization: Serde for efficient JSON handling
• Web Dashboard: React with modern UI components

Use Cases

TagCache excels in various scenarios:

Web Application Caching

• Session storage with automatic expiration
• API response caching with tag-based invalidation
• Database query result caching

Real-time Analytics

• High-speed counters and metrics collection
• Temporary data aggregation
• Rate limiting and quota management

Microservices

• Shared cache between services
• Service discovery and configuration
• Cross-service coordination

High-Performance Applications

• Gaming leaderboards and statistics
• Financial data caching
• IoT data buffering

Performance Characteristics

• Throughput: 1M+ operations per second (TCP protocol)
• Latency: Sub-millisecond average response times
• Memory: Efficient memory usage with configurable limits
• Concurrency: Scales linearly with CPU cores

Community

TagCache is developed by Aminul Islam and maintained by a growing community of contributors.

Contributing

We welcome contributions! Here’s how you can help:

• Code Contributions: Bug fixes, features, and optimizations
• Documentation: Improve docs, tutorials, and examples
• Testing: Report bugs and test edge cases
• Community: Help others in discussions and issues

Getting Involved

• GitHub: aminshamim/tagcache
• Issues: Report bugs and request features
• Discussions: Ask questions and share ideas
• Security: Report security issues privately

Roadmap

Current Focus (v1.x)

• Performance optimizations
• Enhanced monitoring and observability
• Extended client library support
• Documentation improvements

Future Plans (v2.x)

• Clustering and high availability
• Data persistence options
• Advanced security features
• Plugin architecture

License

TagCache is released under the MIT License, making it free to use in both open source and commercial projects.

Acknowledgments

TagCache is built upon the excellent work of the Rust community and leverages many high-quality open source libraries. We’re grateful to all contributors and the broader Rust ecosystem.

Ready to get started? Check out our Getting Started Guide or view the project on GitHub.