chronos

Async job processing and status tracking for high-volume operations.

Description

Chronos is a Go-based tool for asynchronous job processing and status tracking. It provides a simple HTTP API to submit jobs, track their progress, and retrieve results. Designed for high-volume operations, it uses a worker pool and caching mechanism to handle concurrent requests efficiently.

Getting Started

Prerequisites

• Go 1.19 or later
• Redis server (installed and running)

Installation

1. Clone the repository:

   git clone https://github.com//chronos.git
   cd chronos

2. Install dependencies:

   go mod tidy

Running the Application

1. Ensure Redis is running:

   redis-server

2. Build the application:

   go build -o chronos main.go

3. Run the server:

   ./chronos

The server will start on the default port 8080.

API Endpoints

• POST /run - Submit a new job
• GET /status - Check job status
• GET /info - Get system information

Example Usage

Submit a job:

curl -X POST http://localhost:8080/run

Check status:

JOB_ID="12345"
curl "http://localhost:8080/status?key=${JOB_ID}"

Roadmap

This is a collection of potential improvements to Chronos, organized by priority and importance.

Medium Priority (Robustness)

• Advanced Error Handling: Implement retry with exponential backoff, add dead-letter queue for failed jobs.
• Resource Management: Implement graceful shutdown, channel cleanup, context cancellation.

Medium-High Priority (Scalability)

• Performance Optimizations: Implement connection pooling for Redis and HTTP clients, enable request batching, profile code to identify and optimize bottlenecks.
• Horizontal Scalability: Support multiple instances with shared Redis, add load balancing.
• Web Interface: Develop a simple dashboard for real-time job monitoring and status.

Low Priority (Advanced Features)

• Authentication: Implement JWT/API keys to secure endpoints.
• Diverse Job Types: Support scheduled jobs (cron), priorities, dependencies.
• External Integrations: Add webhooks for notifications, CI/CD pipeline support.
• Deployment: Add Docker Compose, Kubernetes manifests, CI/CD pipeline.

Ongoing (Maintenance)

• Code Quality: Use golangci-lint, pre-commit hooks, code reviews.
• Versioning: Implement semantic versioning, changelog, release automation.
• Backup and Recovery: Establish Redis backup procedures, disaster recovery plans.