WASM Edge Computing: Monitoring & Analytics
WASM Edge Computing: Monitoring & Analytics
Part of: WASM Edge Computing User Guide
Real-Time Edge Health
use heliosdb_wasm::edge::analytics::EdgeAnalytics;
let analytics = EdgeAnalytics::new();
// Monitor all edge nodeslet health = analytics.get_edge_health().await?;
for node in health.nodes { println!("{}: {} (load: {:.1}%)", node.id, node.health_status, node.load_percentage(), );}
// Alert on unhealthy nodesif health.unhealthy_count > 0 { alert!("{} unhealthy nodes detected", health.unhealthy_count);}Latency Tracking
// Per-region latencylet latency_stats = analytics.get_latency_stats().await?;
for (region, stats) in latency_stats.by_region { println!("Region: {}", region.name()); println!(" P50: {:.2}ms", stats.p50); println!(" P99: {:.2}ms", stats.p99); println!(" P99.9: {:.2}ms", stats.p999); println!(" Requests: {}", stats.request_count);}
// Global latency heatmaplet heatmap = analytics.get_latency_heatmap().await?;visualize_heatmap(&heatmap)?;Cache Hit Rates
// Overall cache performancelet cache_stats = analytics.get_cache_performance().await?;
println!("=== Cache Performance ===");println!("L1 hit rate: {:.1}%", cache_stats.l1_hit_rate * 100.0);println!("L2 hit rate: {:.1}%", cache_stats.l2_hit_rate * 100.0);println!("L3 hit rate: {:.1}%", cache_stats.l3_hit_rate * 100.0);println!("Overall hit rate: {:.1}%", cache_stats.overall_hit_rate * 100.0);
// Per-key cache analysislet hot_keys = cache.get_hot_keys(100)?;for key_hash in hot_keys { println!("Hot key: {} (freq: {})", key_hash, frequency);}Error Rates
// Per-location error trackinglet error_stats = analytics.get_error_stats().await?;
for (region, stats) in error_stats.by_region { let error_rate = stats.errors as f64 / stats.total_requests as f64;
println!("{}: {:.2}% errors ({}/{})", region.name(), error_rate * 100.0, stats.errors, stats.total_requests, );
// Alert on high error rates if error_rate > 0.01 { // >1% errors alert!("High error rate in {}: {:.2}%", region.name(), error_rate * 100.0); }}
// Error breakdown by typefor (error_type, count) in error_stats.by_type { println!("{}: {}", error_type, count);}Bandwidth Usage
// Monitor bandwidth consumptionlet bandwidth = analytics.get_bandwidth_stats().await?;
println!("=== Bandwidth Usage ===");println!("Total egress: {} GB", bandwidth.total_egress_gb);println!("Cache savings: {} GB ({:.1}%)", bandwidth.cache_savings_gb, bandwidth.cache_savings_pct * 100.0,);
// Per-region bandwidthfor (region, usage) in bandwidth.by_region { println!("{}: {} GB", region.name(), usage.egress_gb);}
// Cost estimationlet cost = estimate_bandwidth_cost(&bandwidth)?;println!("Estimated monthly cost: ${:.2}", cost);Geographic Distribution
// Request distribution by regionlet distribution = analytics.get_request_distribution().await?;
println!("=== Request Distribution ===");for (region, count) in distribution.by_region { let percentage = count as f64 / distribution.total as f64 * 100.0; println!("{}: {} ({:.1}%)", region.name(), count, percentage);}
// Visualize on maplet map = generate_distribution_map(&distribution)?;map.render("distribution.png")?;Custom Dashboards
// Export metrics to monitoring systemsuse heliosdb_wasm::edge::analytics::MetricsExporter;
// Prometheuslet prometheus = MetricsExporter::prometheus();prometheus.export_all(analytics).await?;
// Datadoglet datadog = MetricsExporter::datadog(api_key);datadog.export_all(analytics).await?;
// CloudWatchlet cloudwatch = MetricsExporter::cloudwatch(region);cloudwatch.export_all(analytics).await?;
// Custom webhooklet webhook = MetricsExporter::webhook("https://metrics.example.com");webhook.export_all(analytics).await?;Navigation
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