🦀 TuskLang Rust Observability & Monitoring

"We don't bow to any king" - Rust Edition

Master observability and advanced monitoring with TuskLang Rust. From structured logging to distributed tracing, from metrics to alerting—build systems you can see, understand, and trust.

📊 Structured Logging

Tracing and Logging with tracing

use tracing::{info, warn, error, debug, span, Level};
use tracing_subscriber::{layer::SubscriberExt, util::SubscriberInitExt};
fn main() {
    tracing_subscriber::registry()
        .with(tracing_subscriber::EnvFilter::new("info"))
        .with(tracing_subscriber::fmt::layer())
        .init();
    info!("Application started");
    debug!("Debugging info");
    warn!("Warning message");
    error!("Error message");
}

TSK Logging Config

[logging]
level: "info"
format: "json"
file: "/var/log/app.log"
rotation: "daily"
max_size: "100MB"
retention: 7

📈 Metrics Collection

Prometheus Metrics with prometheus crate

use prometheus::{Encoder, TextEncoder, IntCounter, register_int_counter};
use actix_web::{web, App, HttpServer, HttpResponse, Responder};
lazy_static::lazy_static! {
    static ref HTTP_REQUESTS_TOTAL: IntCounter = register_int_counter!("http_requests_total", "Total HTTP requests").unwrap();
}
async fn metrics() -> impl Responder {
    let encoder = TextEncoder::new();
    let metric_families = prometheus::gather();
    let mut buffer = Vec::new();
    encoder.encode(&metric_families, &mut buffer).unwrap();
    HttpResponse::Ok().body(buffer)
}
#[actix_web::main]
async fn main() -> std::io::Result<()> {
    HttpServer::new(|| App::new().route("/metrics", web::get().to(metrics)))
        .bind("0.0.0.0:8080")?
        .run()
        .await
}

TSK Metrics Config

[metrics]
enabled: true
exporter: "prometheus"
endpoint: "/metrics"
scrape_interval: "15s"
custom_metrics: ["http_requests_total", "db_query_duration_seconds"]

🔍 Distributed Tracing

Jaeger Integration with opentelemetry

use opentelemetry::sdk::export::trace::stdout;
use opentelemetry_jaeger::PipelineBuilder;
use tracing_subscriber::layer::SubscriberExt;
use tracing_opentelemetry::OpenTelemetryLayer;
fn main() {
    let tracer = opentelemetry_jaeger::new_pipeline()
        .with_service_name("tuskapp-rust")
        .install_simple()
        .unwrap();
    let telemetry = OpenTelemetryLayer::new(tracer);
    tracing_subscriber::registry()
        .with(telemetry)
        .with(tracing_subscriber::fmt::layer())
        .init();
    tracing::info!("Tracing initialized");
}

TSK Tracing Config

[tracing]
enabled: true
exporter: "jaeger"
endpoint: "http://localhost:14268/api/traces"
sampling_rate: 1.0
max_trace_duration: "5m"

🚨 Alerting & Notifications

Alertmanager Integration

alertmanager.yml
route:
  receiver: 'slack-notifications'
receivers:
  - name: 'slack-notifications'
    slack_configs:
      - api_url: 'https://hooks.slack.com/services/XXX/YYY/ZZZ'
        channel: '#alerts'
        send_resolved: true

TSK Alerting Config

[alerting]
enabled: true
receivers: ["slack", "email"]
slack_webhook: @env("SLACK_WEBHOOK")
email_recipients: ["ops@mycompany.com"]
alert_rules: ["high_error_rate", "high_latency", "db_down"]

🛡️ Security & Compliance

- Mask sensitive data in logs - Use TLS for metrics and tracing endpoints - Audit log access and retention - Monitor for anomalous patterns

🧪 Testing Observability

#[tokio::test]
async fn test_metrics_endpoint() {
    let resp = reqwest::get("http://localhost:8080/metrics").await.unwrap();
    assert!(resp.status().is_success());
    let body = resp.text().await.unwrap();
    assert!(body.contains("http_requests_total"));
}

🎯 What You've Learned

1. Structured logging - tracing, log rotation, and masking 2. Metrics - Prometheus, custom metrics, and exporters 3. Distributed tracing - Jaeger, OpenTelemetry, and context propagation 4. Alerting - Slack, email, and custom rules 5. Security & compliance - Masking, TLS, and audit

🚀 Next Steps

1. Integrate observability into your Rust apps 2. Set up Prometheus, Grafana, and Jaeger 3. Define alerting rules and receivers 4. Monitor, analyze, and improve system health 5. Automate compliance and auditing

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You now have complete observability and monitoring mastery with TuskLang Rust! From structured logging to distributed tracing, from metrics to alerting—TuskLang gives you the tools to build systems you can see, understand, and trust.