err_metrics

err_metrics is a Rust library and command-line tool for tracking and exposing error metrics in Prometheus format. It uses asynchronous support from Tokio and serves metrics over HTTP using Warp, making it easy to integrate with observability platforms like Prometheus and Grafana.

Features

• Error Counting: Categorize and count errors based on type and source.
• Prometheus Integration: Exposes error metrics in a format that Prometheus can scrape.
• Async Support: Designed to work efficiently in asynchronous Rust applications using Tokio.
• Lightweight HTTP Server: Uses Warp to serve metrics on a configurable endpoint.

Installation

Add err_metrics to your Cargo.toml:

[dependencies]
err_metrics = "0.1.0"  # Replace with the correct version

Note: Make sure to use the latest version published on crates.io.

Quick Start

Here's a simple example to get you started:

use err_metrics::ErrorMetrics;
use tokio::main;

#[main]
async fn main() {
    let metrics = ErrorMetrics::new();

    // Simulate some errors
    metrics.record_error("database_error", "db_service");
    metrics.record_error("http_error", "web_service");

    // Serve metrics on http://127.0.0.1:3030/metrics
    println!("Serving metrics on http://127.0.0.1:3030/metrics");
    metrics.serve_metrics().await;
}

Run the example:

bash

cargo run Visit http://127.0.0.1:3030/metrics to see the metrics.

Usage

Recording Errors You can record errors using the record_error method, specifying the error type and source: metrics.record_error("database_error", "db_service"); metrics.record_error("http_error", "web_service");

Exposing Metrics

err_metrics exposes a /metrics endpoint that Prometheus can scrape. The endpoint is served using Warp on a configurable port (default: 3030).

Integration with Prometheus

To monitor your error metrics using Prometheus:

Add a scrape job to your Prometheus configuration:

scrape_configs:
  - job_name: 'err_metrics'
    static_configs:
      - targets: ['127.0.0.1:3030']

Configuration

You can easily customize the HTTP server port and other settings by modifying the serve_metrics method or using environment variables (future feature).

License

This project is licensed under the MIT License. See the LICENSE file for details.

Acknowledgements

Prometheus: For providing a powerful metrics collection system. Tokio: For async runtime support. Warp: For the fast and easy-to-use HTTP server.

##Author bensatlantik