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Conoce el nuevo MetricKit
Detecta y soluciona los problemas de rendimiento más rápido que nunca. Únete a nosotros para descubrir cómo MetricKit te proporciona métricas de rendimiento esenciales y análisis prácticos que te ayudarán a identificar exactamente en qué aspectos tu app puede mejorar. También explicaremos cómo cruzar las métricas y los diagnósticos de tu app según su estado utilizando el framework StateReporting, lo que te proporcionará una visión completa para investigar cómo optimizar la experiencia de tu app.
Capítulos
- 0:01 - Introduction
- 4:07 - Metrics
- 7:13 - Diagnostics
- 10:03 - Context
Recursos
- Getting started with StateReporting
- Analyzing app performance with MetricKit
- Monitoring app performance with MetricKit
- Track performance by app state using MetricKit
- MetricKit
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4:59 - Receive metrics from MetricKit
// Receive metrics from MetricKit import MetricKit let manager = MetricManager() for await report in manager.metricReports { processReport(report) } -
5:25 - Send your metrics to the server
// Send your metrics to the server import MetricKit for await report in manager.metricReports { let jsonData = try JSONEncoder().encode(report) sendToServer(jsonData) } -
5:44 - Access your performance metrics
// Access your performance metrics import MetricKit for await report in manager.metricReports { let intervalEntries = report.intervalEntries let fullDayEntry = intervalEntries.fullDayEntry for entry in intervalEntries { let memoryMetrics = entry.values.filter { $0.metricGroup == .memory } for metric in memoryMetrics { switch metric { case .peakMemory(let peak): processPeakMemory(peak) default: break } } } } -
8:59 - Receive diagnostics
// Receive diagnostics import MetricKit let manager = MetricManager() for await report in manager.diagnosticReports { processReport(report) } -
9:14 - Send your diagnostic data to the server
// Send your diagnostic data to the server import MetricKit for await report in manager.diagnosticReports { let jsonData = try JSONEncoder().encode(report) sendToServer(jsonData) } -
9:39 - Access your diagnostic data
// Access your diagnostic data import MetricKit for await report in manager.diagnosticReports { switch report.result { case .crash(let crash): let backtrace = crash.callStackTree let reason = crash.terminationReason let category = crash.terminationCategory processCrash(backtrace: backtrace, reason: reason, category: category) case .hang(let hang): processHangDiagnostic(hang) default: break } } -
13:57 - Receive MetricKit data with states
// Receive MetricKit data with states import MetricKit import StateReporting let domain = StateReportingDomain("com.metrickitsample.tabs") let manager = MetricManager(enabledStateReportingDomains: [domain]) // Report transitions throughout the app let reporter = StateReporter.reporter(for: domain.rawValue) reporter.reportTransition(to: "Reports") -
14:21 - Define custom structured types
// Define custom structured types import StateReporting @ReportableMetadata struct ViewConfiguration { let listSize: String let isSorted: Bool } let reporter = StateReporter.reporter( for: domain.rawValue, stableMetadata: ViewConfiguration.self ) reporter.reportTransition( to: "Reports", stableMetadata: ViewConfiguration(listSize: "large", isSorted: false) ) -
15:29 - Send encoded metric reports to the server
// Send encoded metric reports to the server import MetricKit for await report in manager.metricReports { let encoder = JSONEncoder() let formatKey = MetricReport.encodingFormatKey encoder.userInfo[formatKey] = MetricReport.EncodingFormat.byStateReportingDomain let jsonData = try encoder.encode(report) sendToServer(jsonData) }
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- 0:01 - Introduction
MetricKit is a framework that provides metrics and diagnostics for monitoring real-world app performance. In iOS 27, the framework has been rebuilt from the ground up with a new Swift-first API and new features including Metal frame rate metrics, memory exception diagnostics, and granular data with state reporting.
- 4:07 - Metrics
MetricKit delivers daily reports containing performance metrics — including launch time, hangs, CPU, memory, organized into interval entries and metric groups. Metrics can be retrieved as Codable reports for server-side aggregation or inspected directly by filtering for specific groups and values.
- 7:13 - Diagnostics
When an app encounters a crash, hang, or other failure, MetricKit captures and immediately delivers a diagnostic report containing a symbolicated backtrace and metadata such as exception type and termination reason. iOS 27 adds memory exception diagnostics and a new termination category field on crash diagnostics.
- 10:03 - Context
The State Reporting framework lets apps report their active configuration or user flow as named domains and states, which then allows MetricKit to aggregate data separately for each state rather than blending them. Custom structured metadata can be attached to states using the @ReportableMetadata macro, and per-state metrics are surfaced as StateEntry values in the metric report.