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A distributed cache store in Go implemented with Raft consensus algorithm

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# 🚀 **Cashe - Blazing Fast Distributed Key-Value Store implemented with Raft and Golang**

Cashe is a distributed key-value store database that leverages the Raft consensus algorithm and is implemented using the Go programming language. It provides a highly available and fault-tolerant solution for storing and retrieving data across a cluster of nodes.

# **Features**
### ✨ **High Availability**: Cashe ensures that data remains available even in the event of node failures, ensuring continuous service uptime.

### 🔒 **Consistency**: The Raft consensus algorithm employed by Cashe ensures strong consistency across all nodes in the cluster.

### 📈 **Scalability**: Cashe is designed to scale horizontally by adding more nodes to the cluster, allowing it to handle increasing workloads with ease.

### 🔑 **Key-Value Store**: Cashe stores data in a simple key-value format, providing efficient access to stored information.

### ⚡️ **Fast and Efficient**: The Go programming language used in Cashe ensures high performance and efficient resource utilization.

### 🔒 **Fault Tolerance**: Cashe is resilient to node failures and automatically recovers from such failures, ensuring data integrity and availability.

### 🌐 **Distributed Architecture**: Cashe distributes data across multiple nodes, allowing for better load distribution and fault tolerance.

## **How It Works**
Cashe implements the Raft consensus algorithm to achieve distributed consensus among the nodes in the cluster. The Raft algorithm ensures that all nodes agree on the state of the system, even in the presence of failures.

When a client wants to store or retrieve data, it interacts with any node in the cluster. The node that receives the request acts as a leader and coordinates with other nodes to replicate the data and achieve consensus. Once the data is successfully replicated, the leader responds to the client with the appropriate result.

In case of a leader node failure, a new leader is elected through the Raft algorithm, ensuring uninterrupted service availability. Cashe also handles situations where nodes join or leave the cluster dynamically, redistributing data and adjusting the cluster membership accordingly.

## **Getting Started**

1. Install Dependencies
```shell
make install
```
2. Start a master node 
```shell
./bin/cashe --id=raft0 --listenaddr=:3000  --raftaddr=:4000
```
3. Start second and third node
```shell
./bin/cashe --listenaddr :3001 --leaderaddr :3000 --raftaddr=:4001 --id=raft1

./bin/cashe --listenaddr :3002 --leaderaddr :3000 --raftaddr=:4002 --id=raft2
```

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