feat(telemetry): Implement structured telemetry logging and reporting

Adds comprehensive client-side telemetry capabilities for usage, errors, and performance metrics. This includes integrating OpenTelemetry standards into both the frontend (Svelte) and backend (Tauri/Rust) layers to capture events, spans, and system resource utilization.

The implementation ensures that all collected data is privacy-filtered by design, explicitly excluding sensitive information like repository paths, credentials, source code, or email addresses from being logged.

- Updates README with detailed SigNoz telemetry guide
- Adds process metrics collection (CPU/Memory) in Rust backend
- Exposes `setTelemetryEnabled` state management to the frontend

src/lib/analytics.ts

@@ -1,8 +1,11 @@
 import { invoke } from "@tauri-apps/api/core";
+import { telemetryLog } from "./telemetry";
 
 export type AnalyticsEventProperties = Record<string, string | number>;
 
 export function trackAnalyticsEvent(name: string, props?: AnalyticsEventProperties) {
+  const details = props && Object.keys(props).length > 0 ? ` ${JSON.stringify(props)}` : "";
+  telemetryLog("info", `${name}${details}`, `product.${name}`);
   void invoke("plugin:aptabase|track_event", {
     name,
     props: props && Object.keys(props).length > 0 ? props : undefined,