gatling 0.1.3

A high-performance parallel task processing framework for solving IO-bound (Redis queue, file system, command execution) and CPU-bound (computation) workloads. Designed for scalability, efficiency, and seamless distributed execution.

Gatling

A high-performance parallel task processing framework for solving IO-bound (Redis queue, file system, command execution) and CPU-bound (computation) workloads. Designed for scalability, efficiency, and seamless distributed execution.

Features

• Redis DataType in Python Way
  Provides a Pythonic interface for interacting with Redis data types, enabling you to manipulate Redis data structures as if they were native Python objects.

• Redis Queue Executor
  Utilizes Redis as a backend for task queuing and scheduling. It supports both synchronous and asynchronous execution along with built-in error handling and retry mechanisms for robust task processing.

• Super File System
  Offers an advanced file system module that supports high-performance, distributed file operations. This module makes it easy to manage and process large volumes of files across different nodes.

• Modular Architecture
  The framework is designed with modularity in mind, making it easy to extend and customize for various IO-bound and CPU-bound workloads.

• Distributed Execution
  Built-in support for cross-node task scheduling and execution helps you build scalable, distributed systems effortlessly.

• High Performance Optimizations
  Optimized to handle both IO-intensive and CPU-intensive tasks efficiently, ensuring optimal resource utilization.

Installation

Install the package using pip:

pip install gatling