cachelot

Cachelot

Cachelot is an open-source cache and session storage server. It is designed to be fast, scalable and lightweight. Cachelot can be used to improve website performance by caching data and sessions.
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cache session storage server fast scalable lightweight

Cachelot: Open-Source Cache & Session Storage Server

Fast, scalable, and lightweight cache and session storage server for improved website performance

What is Cachelot?

Cachelot is an open-source cache and session storage server written in Go. It is designed to be a fast, simple and scalable solution for caching data and sessions for web applications.

Some key features of Cachelot include:

  • In-memory storage for high performance
  • Simple JSON API over HTTP
  • Built-in distributed caching and replication
  • Disk persistence for data reliability
  • Optimized for simplicity, speed and scalability

Cachelot can help improve website and application performance by reducing database and backend loads. It stores data and sessions in memory in a fast key-value store interface. The data can be distributed across multiple Cachelot instances for scalability and redundancy.

It is ideally suited for caching all kinds of data from databases and APIs, including sessions for web applications. The JSON API makes it easy to interface with from any programming language. Cachelot is open-source and free to use, making it a cost-effective caching solution.

Cachelot Features

Features

  1. Fast and lightweight
  2. Scalable and high-performance
  3. Supports multiple storage backends (Redis, Memcached, etc.)
  4. Caching of data and sessions
  5. Distributed caching capabilities
  6. Easy to integrate with web applications

Pricing

  • Open Source

Pros

Open-source and free to use

Highly scalable and performant

Supports a variety of storage backends

Easy to set up and configure

Reduces load on database and improves website performance

Cons

Requires additional setup and configuration

Potential for data loss or inconsistency if not properly managed

May require additional resources (memory, CPU) depending on usage


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