TigerDB: A Scalable and Consistent Distributed Cache

TigerDB provides a horizontally scalable distributed cache, offering high performance and availability for key-value storage. It utilizes the Raft consensus algorithm for strong consistency and fault tolerance, ensuring data integrity even during node failures.

distributed_systems_1.mp4

Key Features:

• Scalability: Effortlessly scale your cache by adding nodes to the cluster.
• High Availability: Experience uninterrupted data access despite node issues.
• Consistency: Robust Raft consensus guarantees consistent data across all nodes.
• Performance: Efficiently cache frequently accessed data for faster retrieval.
• Open Source: Freely use and modify TigerDB under the [insert license name].

Getting Started:

1. Clone the Repository:

   git clone https://github.com/manthanguptaa/TigerDB

Usage:

Client API:

• Connect to the cache using the provided client library.
• Perform SET, GET, Has, and Delete operations on key-value pairs.
• Example usage will be included in the client library documentation.

Cache Implementation:

• The Cacher interface defines the core cache operations.
• The Cache struct implements Cacher with a thread-safe in-memory cache and optional TTL support.

Roadmap:

• The raft consensus isn't working properly right now. I still have to figure out why it isn't working. Any help is appreciated.