metrickit
dpearson2699/swift-ios-skills
Collect and analyze production iOS/iPadOS performance telemetry with MetricKit's async metric and diagnostic reports.
What is metrickit?
MetricKit provides low-overhead production telemetry for iOS and iPadOS apps, complementing Instruments and Xcode Organizer. Use it to collect metric reports (daily performance aggregates), diagnostic reports (crash/hang/launch events), custom signpost intervals, and call stack trees for performance analysis and triage.
- Receive async metric reports with hang time, peak memory, time-to-first-draw, and custom signpost intervals
- Receive diagnostic reports for crashes, hangs, CPU exceptions, disk writes, app launches, and memory exceptions
- Analyze call stack trees with frame traversal, thread-oriented analysis, and binary metadata
- Create custom signpost metrics for measuring specific code intervals with OS log integration
- Durably persist and export metric and diagnostic data before analysis or upload
- Support iOS 27 MetricManager (Swift-first) with backward compatibility for iOS 26 MXMetricManager
How to install metrickit
npx skills add https://github.com/dpearson2699/swift-ios-skills --skill metrickit- iOS 27 or iPadOS 27 (for MetricManager) or iOS 26+ (for MXMetricManager compatibility)
- Xcode 27 SDK (for iOS 27 features; beta documentation subject to change)
- Durable storage mechanism for persisting metric and diagnostic reports before processing
How to use metrickit
- 1.Create and retain one long-lived MetricManager instance at app launch
- 2.Start exactly one consumer task for metricReports and one for diagnosticReports async sequences
- 3.Implement persistence closures to durably store complete reports before extracting results
- 4.Switch over MetricResult cases (hangTime, peakMemory, timeToFirstDraw, signpostInterval) from fullDayEntry
- 5.Switch over DiagnosticResult cases (crash, hang, cpuException, diskWriteException, appLaunch, memoryException) and analyze callStackTree
- 6.Create custom signposts by obtaining a log handle and using mxSignpost(.begin/.end) around measured code
- 7.Aggregate results by app version and environment metadata; compare distributions rather than single values
Use cases
- Monitor app launch performance and time-to-first-draw regressions across releases
- Triage production crashes and hangs with call stack trees and diagnostic metadata
- Track memory and CPU usage patterns across user populations and app versions
- Measure custom code intervals (image decoding, network requests) via signpost metrics
- Correlate performance regressions with app versions and environment metadata
- iOS/iPadOS app developers implementing production telemetry
- Performance engineers analyzing app stability and responsiveness metrics
- DevOps teams building dashboards from metric aggregates and diagnostic reports
- QA teams investigating crashes and hangs in production
metrickit FAQ
Metric reports arrive on a daily cadence and contain aggregated performance data (hang time, memory, launch metrics) across intervals and application states. Diagnostic reports are event-based and individual, triggered by crashes, hangs, or resource exceptions; they include call stack trees and detailed metadata for triage.
On iOS 27+, use the Swift-first MetricManager with async sequences. Keep MXMetricManager only in an explicit iOS 26 compatibility branch. MetricManager is the preferred modern API.
No. Apple documents that concurrent consumers of one sequence receive nondeterministic subsets. Use a single consumer task that durably stores each report, then fan out to other components after storage.
Obtain a log handle from the manager with logHandle(category:), then use mxSignpost(.begin) and mxSignpost(.end) around your code. MetricKit aggregates these as MetricResult.signpostInterval in metric reports.
Preserve the complete diagnostic report with binary identifiers and offsets. Store call stack trees durably before symbolication so server-side tools can match binary archives and dSYMs for accurate stack resolution.
Full instructions (SKILL.md)
Source of truth, from dpearson2699/swift-ios-skills.
name: metrickit description: Use when collecting or analyzing production iOS or iPadOS performance telemetry with MetricKit, including iOS 27 MetricManager async metric or diagnostic reports, hang or crash triage, custom signposts, extended launch measurement, durable export, or iOS 26 MXMetricManager compatibility.
MetricKit
Use MetricKit for low-overhead production telemetry that complements local Instruments and Xcode Organizer analysis. On iOS and iPadOS 27, prefer the Swift-first MetricManager report sequences. Keep MXMetricManager only in an explicit iOS 26 compatibility branch.
Beta-sensitive: The iOS/iPadOS 27 surface below is based on Apple's current beta documentation. It has not been locally compiler-verified because Xcode 27 is unavailable in this environment. Re-check the linked Apple documentation and compile with the shipping Xcode 27 SDK before release.
Load MetricKit Extended and Compatibility Patterns when implementing durable ingestion, detailed report analysis, or the iOS 26 compatibility path.
Contents
- MetricManager Setup
- Receiving Metric Reports
- Receiving Diagnostic Reports
- Key Metric Results
- Call Stack Trees
- Custom Signpost Metrics
- Durable Export and Upload
- Extended Launch Measurement
- iOS 26 Compatibility
- Xcode Organizer
- Scope Boundaries
- Common Mistakes
- Review Checklist
- References
MetricManager Setup
At app launch, create and retain one long-lived MetricManager. Start exactly one consumer task for metricReports and one for diagnosticReports.
Both properties expose nonthrowing AsyncSequence values:
metricReports: some AsyncSequence<MetricReport, Never>diagnosticReports: some AsyncSequence<DiagnosticReport, Never>
Apple documents that concurrent consumers of one sequence can receive nondeterministic subsets. Fan out only after the single consumer receives and durably stores a report; delayed subscription can miss reports.
import MetricKit
@available(iOS 27.0, *)
final class MetricsService {
private let manager = MetricManager()
private var metricTask: Task<Void, Never>?
private var diagnosticTask: Task<Void, Never>?
func start(
persistMetric: @escaping @Sendable (MetricReport) async -> Void,
persistDiagnostic: @escaping @Sendable (DiagnosticReport) async -> Void
) {
guard metricTask == nil, diagnosticTask == nil else { return }
let manager = manager
metricTask = Task {
for await report in manager.metricReports {
await persistMetric(report)
}
}
diagnosticTask = Task {
for await report in manager.diagnosticReports {
await persistDiagnostic(report)
}
}
}
deinit {
metricTask?.cancel()
diagnosticTask?.cancel()
}
}
The persistence closures are application-specific. Implement them with the durable-first workflow below rather than dropping, logging only, or directly uploading each report. If state-scoped metrics are needed, construct the manager with the documented init(enabledStateReportingDomains:) initializer and the required domains.
Receiving Metric Reports
MetricReport is Codable and Sendable. It describes an interval through:
timeRange: DateInterval- optional
environmentmetadata intervalEntriesfor full-day and shorter interval measurementsstateEntriesfor measurements associated with application states
Metric reports normally arrive on a daily cadence. Persist the complete report before extracting individual results.
For daily analysis, read the documented fullDayEntry and switch over its MetricResult values:
let entry = report.intervalEntries.fullDayEntry
for result in entry.values {
switch result {
case .hangTime(let metric):
analyzeHangTime(metric)
case .peakMemory(let metric):
analyzePeakMemory(metric)
case .timeToFirstDraw(let metric):
analyzeLaunch(metric)
case .signpostInterval(let metric):
analyzeSignpost(metric)
@unknown default:
preserveUnknownMetric(result)
}
}
Use @unknown default so a beta or future result does not make the ingestion pipeline brittle. Preserve the raw encoded report even when the current app does not understand a result.
Receiving Diagnostic Reports
DiagnosticReport is Codable and Sendable. It contains a timeRange, required environment metadata, and one DiagnosticResult.
Diagnostics are individual, event-based reports intended for prompt delivery when MetricKit produces them. Do not assume every crash, hang, or resource event generates a report; system sampling and eligibility still apply.
After durable storage, route the result explicitly:
switch report.result {
case .crash(let diagnostic):
analyzeCrash(diagnostic)
case .hang(let diagnostic):
analyzeHang(diagnostic)
case .cpuException(let diagnostic):
analyzeCPUException(diagnostic)
case .diskWriteException(let diagnostic):
analyzeDiskWrites(diagnostic)
case .appLaunch(let diagnostic):
analyzeLaunch(diagnostic)
case .memoryException(let diagnostic):
analyzeMemory(diagnostic)
@unknown default:
preserveUnknownDiagnostic(report)
}
The iOS/iPadOS 27 diagnostic types are CrashDiagnostic, HangDiagnostic, CPUExceptionDiagnostic, DiskWriteExceptionDiagnostic, AppLaunchDiagnostic, and MemoryExceptionDiagnostic. The memory-exception case is new in iOS 27.
Useful fields include:
| Diagnostic | Important fields |
|---|---|
CrashDiagnostic | callStackTree, exception type/code/reason, signal, virtual-memory region, termination category/reason |
HangDiagnostic | callStackTree, hangDuration |
CPUExceptionDiagnostic | callStackTree, totalCPUTime, totalSampledTime |
DiskWriteExceptionDiagnostic | callStackTree, totalBytesWritten |
AppLaunchDiagnostic | callStackTree, launchDuration |
MemoryExceptionDiagnostic | callStackTree |
Key Metric Results
Choose a small telemetry vocabulary that matches the investigation rather than exporting every result. Prioritize the relevant categories: responsiveness and terminations; runtime, CPU, memory, network, and storage; or launch, display/GPU, and custom intervals.
Aggregate by app version and environment metadata, compare distributions rather than single values, and correlate regressions with releases. Avoid treating a daily aggregate as a precise trace of one user action.
Load the Key Metric Result Catalog when mapping exact MetricResult cases into a parser or dashboard.
Call Stack Trees
The iOS 27 CallStackTree replaces MXCallStackTree. It is Codable and Sendable and exposes:
forEachFramefor frame traversalcallStackThreadsfor thread-oriented analysisbinaryInfofor image and binary metadata
Store the complete diagnostic report before flattening or symbolication. Preserve binary identifiers and offsets so server-side symbolication can use matching archives and dSYMs.
Custom Signpost Metrics
Create an OS log through the manager, then use mxSignpost for begin/end measurement:
let log = manager.logHandle(category: "ImagePipeline")
mxSignpost(.begin, log: log, name: "Decode")
await decodeImage()
mxSignpost(.end, log: log, name: "Decode")
MetricKit exposes the aggregate as MetricResult.signpostInterval. Do not search for a signpostMetrics array on MetricReport.
Use mxSignpost when MetricKit resource measurement is required. Apple documents that intervals created with OSSignposter and a MetricKit log handle do not populate the resource-measurement fields that mxSignpost provides.
Keep high-volume local tracing separate from the small set of stable production intervals used for MetricKit aggregation.
Durable Export and Upload
Treat report delivery as an at-least-once ingestion problem:
- Encode the complete
MetricReportorDiagnosticReportwithJSONEncoder. - Atomically enqueue the bytes in an app-owned durable outbox.
- Record report type, schema version, app version, and a stable deduplication key.
- Acknowledge local processing only after the enqueue succeeds.
- Upload later with retry, backoff, batching, and retention limits.
- Mark the outbox item uploaded only after the server accepts it.
let data = try JSONEncoder().encode(report)
try await durableOutbox.enqueue(data, kind: .metric)
durableOutbox is an application-owned abstraction, not a MetricKit API. Do not perform a synchronous network upload inside the sequence consumer.
Durable local storage is the recovery mechanism for reports received through the modern sequences; do not make successful ingestion depend on an assumed modern backfill API.
Extended Launch Measurement
Use trackLaunchTask(id:onTrackingError:_:) on the manager for work that extends beyond time to first draw:
await manager.trackLaunchTask(
id: "bootstrap-data",
onTrackingError: { error in
recordLaunchTrackingError(error)
}
) {
await bootstrapApplication()
}
The API is @MainActor and has synchronous and asynchronous overloads. The task closure's result and thrown error propagate to the caller; a MetricManager.LaunchTaskError is reported through onTrackingError without interrupting the tracked work. Results appear as MetricResult.extendedLaunch.
Use stable LaunchTaskID values and track only launch-critical work.
iOS 26 Compatibility
For an app that still deploys to iOS 26, use an availability boundary:
- iOS/iPadOS 27: use
MetricManagerand consume both async report sequences. - iOS/iPadOS 26 and earlier supported releases: use
MXMetricManager.shared, anMXMetricManagerSubscriber, and the legacy payload callbacks.
The legacy APIs remain the only documented branch with pastPayloads and pastDiagnosticPayloads. MXMetricManager is deprecated in iOS 27, so isolate it behind availability checks rather than mixing legacy payloads into the modern pipeline.
Load iOS 26 Compatibility for the full subscriber, legacy signpost, past-payload, and extended-launch patterns.
Xcode Organizer
Use Xcode Organizer to inspect Apple-aggregated production metrics, hangs, crashes, and regressions before building a custom backend. Use direct MetricKit ingestion when the product needs custom correlation, retention, alerting, or integration with an existing observability system.
Do not expect development-device runs to reproduce the population, cadence, or aggregation of production reports.
Scope Boundaries
| Task | Use instead |
|---|---|
| Reproduce a problem locally or record a detailed trace | debugging-instruments |
| Diagnose retained objects or memory graph paths | ios-memgraph-analysis |
| Tune SwiftUI invalidation, identity, or scrolling code | swiftui-performance |
| Study structured EnergyKit impact data | energykit |
| Design general logging and os_signpost strategy | swift-logging |
MetricKit identifies production symptoms and trends. Route the actual code fix to the skill that owns the affected subsystem.
Common Mistakes
| Mistake | Correction |
|---|---|
| Uploading directly in the sequence loop | Encode and enqueue locally first; upload asynchronously later. |
| Assuming every diagnostic event produces a report | Treat diagnostics as sampled, system-produced evidence. |
Looking for pastPayloads on MetricManager | Keep legacy backfill only in the iOS 26 MXMetricManager branch. |
| Parsing only known enum cases | Preserve the raw report and use @unknown default. |
Using MXMetricManager.makeLogHandle in the iOS 27 branch | Use manager.logHandle(category:). |
| Using paired extend/finish launch calls in the iOS 27 branch | Use trackLaunchTask. |
| Treating MetricKit aggregates as local traces | Reproduce with Instruments and signposts. |
Review Checklist
- The iOS 27 branch starts at launch with one retained
MetricManagerand one consumer per report sequence. - Every report is encoded and durably enqueued before analysis or upload.
- Diagnostic and metric switches use
@unknown default. - Unknown raw reports remain recoverable.
- Symbolication metadata and matching dSYMs are retained.
- Custom intervals use
manager.logHandle(category:)andmxSignpost. - Extended launch work uses
trackLaunchTask. - The iOS 26
MXMetricManagerpath is isolated behind availability checks. - Production aggregates lead to a local Instruments investigation when appropriate.
- iOS 27 beta APIs have been rechecked and compiled with the shipping Xcode 27 SDK.
References
- MetricManager
- Metric report sequence
- Diagnostic report sequence
- MetricReport
- DiagnosticReport
- MetricResult
- DiagnosticResult
- CallStackTree
- Monitoring app performance with MetricKit
- Analyzing app performance with MetricKit
- iOS & iPadOS 27 release notes
- What's new in MetricKit (WWDC26)
- MetricKit Extended and Compatibility Patterns
Related skills
More from dpearson2699/swift-ios-skills and the wider catalog.

musickit
Integrate Apple Music playback, catalog search, and Now Playing metadata into iOS apps.

natural-language
Tokenize, tag, and analyze text with NaturalLanguage; translate with Translation framework.

paperkit
Add drawings, shapes, and markup editing to iOS apps with PaperKit's system-standard canvas.

passkit
Integrate Apple Pay payments and Wallet passes into iOS apps using PassKit.

pdfkit
Display, navigate, and annotate PDF documents in iOS/macOS apps with PDFKit.

pencilkit
Add Apple Pencil drawing, tool picker, and serialization to iOS/iPadOS apps.