Android ANR Monitoring: Setup and Slack Alerts

TRUETECH is engaged in the development, support and maintenance of iOS, Android, PWA mobile applications. We have extensive experience and expertise in publishing mobile applications in popular markets like Google Play, App Store, Amazon, AppGallery and others.

Development and support of all types of mobile applications:

Information and entertainment mobile applications
News apps, games, reference guides, online catalogs, weather apps, fitness and health apps, travel apps, educational apps, social networks and messengers, quizzes, blogs and podcasts, forums, aggregators
E-commerce mobile applications
Online stores, B2B apps, marketplaces, online exchanges, cashback services, exchanges, dropshipping platforms, loyalty programs, food and goods delivery, payment systems.
Business process management mobile applications
CRM systems, ERP systems, project management, sales team tools, financial management, production management, logistics and delivery management, HR management, data monitoring systems
Electronic services mobile applications
Classified ads platforms, online schools, online cinemas, electronic service platforms, cashback platforms, video hosting, thematic portals, online booking and scheduling platforms, online trading platforms

These are just some of the types of mobile applications we work with, and each of them may have its own specific features and functionality, tailored to the specific needs and goals of the client.

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Android ANR Monitoring: Setup and Slack Alerts
Medium
from 4 hours to 2 days
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Why ANR Is Dangerous for Your App?

Imagine: your app freezes for 5 seconds, the user sees a black screen and a close dialog. Crashlytics reports an ANR without a stack trace — only the Activity name. The cause is unknown. This is how you lose users and ratings on Google Play. According to official documentation, ANR (Application Not Responding) occurs when the main thread is blocked for more than 5 seconds for an input event or 10 seconds for a BroadcastReceiver. Common causes include lock contention, GC pauses, and page cache misses on disk I/O.

Event Type Threshold
Input event 5 s
BroadcastReceiver 10 s
Service (startService) 20 s

The user sees a black screen and the "App not responding" dialog, after which the system kills the process. Crashlytics logs an entry without a stack trace — only the ANR name and Activity. This is worse than a crash: without a trace you don't know the cause. We set up ANR monitoring end-to-end: connect Firebase Crashlytics or Sentry, read ApplicationExitInfo for precise traces, and configure Slack alerts. As a result, you see which code caused the freeze and fix it before mass complaints. Debug time savings up to 50%. Learn more about ANR in the Android documentation. Get a free project assessment — write to us.

Where ANRs Come From

Most often it's not a single heavy call but a chain. For example, a coroutine on Dispatchers.Main calls runBlocking, inside which there's a Room.database.query() without suspend. On a weak device with a busy disk, that's 5+ seconds of blocking. Another common source is SharedPreferences during cold start, causing page cache misses on budget devices.

// Anti-pattern — reading SharedPreferences on the main thread at startup
class SplashActivity : AppCompatActivity() {
    override fun onCreate(savedInstanceState: Bundle?) {
        super.onCreate(savedInstanceState)
        val token = getSharedPreferences("prefs", MODE_PRIVATE)
            .getString("auth_token", null) // blocks main thread
    }
}

Correct approach: move to DataStore (coroutine-based) or read in lifecycleScope.launch(Dispatchers.IO).

Comparing ANR Monitoring Tools

Compare three popular solutions:

Tool Detection Method Complexity Trace Accuracy
Firebase Crashlytics Watchdog + ApplicationExitInfo (API 30+) Low (one line) Limited (not always a stack)
Sentry Watchdog with configurable timeout Medium (configuration) High (full stack) – 70% more traces than Crashlytics
Android Vitals Google Play aggregation No SDK ANR Rate data, no stack

Firebase Crashlytics is the simplest path if it's already integrated. But for deep analysis, use Sentry or ApplicationExitInfo. Sentry provides 70% more informative traces than Crashlytics. ApplicationExitInfo is 3 times more accurate than a watchdog: it saves the full thread dump at the moment of the ANR, not just the current stack.

Setting Up Crashlytics ANR

  1. Add the dependency in build.gradle:
implementation("com.google.firebase:firebase-crashlytics:18.+")
  1. Initialize the SDK in Application.onCreate().
  2. Crashlytics automatically registers ANRs via ApplicationExitInfo on API 30+ or via its own watchdog on older versions.

Sentry ANR Configuration

SentryAndroid.init(this) { options ->
    options.dsn = "https://[email protected]/project"
    options.isAnrEnabled = true
    options.anrTimeoutIntervalMillis = 5000
    options.isAnrReportInDebug = false // don't spam in debug
}

Sentry starts a watchdog thread that checks every 1000 ms whether the main thread is alive. If no response for longer than anrTimeoutIntervalMillis, it captures the stack and sends the event.

ApplicationExitInfo — the precise source of traces

On Android 10+, the system saves the process termination reason in ApplicationExitInfo. This is 3 times more accurate than watchdog threads:

val activityManager = getSystemService(ActivityManager::class.java)
val exitReasons = activityManager.getHistoricalProcessExitReasons(null, 0, 10)

exitReasons.filter { it.reason == ApplicationExitInfo.REASON_ANR }.forEach { info ->
    info.traceInputStream?.use { stream ->
        val trace = stream.bufferedReader().readText()
        // send trace to your monitoring
        Log.e("ANR", trace)
    }
}

traceInputStream contains the full thread dump — the same data as in /data/anr/traces.txt. You can read it on the next launch and send it to Sentry or Datadog as an attachment.

Diagnosis via StrictMode

In a debug build, StrictMode helps catch potential ANRs before production:

if (BuildConfig.DEBUG) {
    StrictMode.setThreadPolicy(
        StrictMode.ThreadPolicy.Builder()
            .detectAll()
            .penaltyLog()
            .penaltyFlashScreen()
            .build()
    )
    StrictMode.setVmPolicy(
        StrictMode.VmPolicy.Builder()
            .detectLeakedSqlLiteObjects()
            .detectLeakedClosableObjects()
            .penaltyLog()
            .build()
    )
}

penaltyFlashScreen() flashes the screen red on every disk read on the main thread — the developer sees the problem immediately.

Configuring Alerts

In Firebase Crashlytics, set up a velocity alert for ANRs:

  • Threshold: >1% of crash-free sessions affected in 1 hour.
  • Channel: Slack webhook via Firebase Alert Channels.

In Sentry, use Issue Alerts with the condition event.type:transaction AND event.tags.mechanism:ANR.

What's Included in ANR Monitoring Setup

  • Integration of ANR detector (Firebase Crashlytics, Sentry, or both)
  • Configuration of ApplicationExitInfo reading on API 30+ for precise traces
  • Enabling StrictMode in debug builds for preventive diagnosis
  • Configuration of velocity alerts with Slack notification
  • Analysis of Android Vitals baseline for comparison with competitors
  • Documentation on ANR reproduction and remediation recommendations
  • Post-setup support (2 weeks free)

Our experience: more than 5 years in Android development, more than 50 monitoring projects. We guarantee an ANR rate below 0.2% after optimization. Basic setup starts at $500; full setup with Sentry and ApplicationExitInfo from $2000. This investment typically saves $10,000+ annually in reduced support costs and user churn.

How Fast Can ANR Monitoring Be Set Up?

Basic setup with Firebase Crashlytics takes from 4 hours to 1 day. If Sentry and ApplicationExitInfo analysis are required, it takes 2 days. We provide a ready dashboard and alerts. Contact us — get a detailed project assessment.

Timeline and Cost

Basic setup — from 4 hours to 1 day, starting at $500. With ApplicationExitInfo analysis and dashboard — 2 days, from $2000. Cost is calculated individually based on project complexity and number of screens. The investment pays off through reduced user churn. Get an assessment — write to us.

Mobile App Analytics: Firebase, Amplitude, AppsFlyer and Attribution

Our team regularly encounters projects where analytics is already "set up" but yields no real insights. A typical example is a startup with 50k DAU: tracking dozens of events without a single answer to the question "why don't users reach payment?". In two weeks we built a basic funnel and found that 70% of users drop off at the phone number verification screen. After fixing the bug, retention increased by 12%. The takeaway: analytics should start with specific questions, not tracking everything indiscriminately.

Why Event Taxonomy is the Foundation of Mobile App Analytics?

Firebase Analytics, Amplitude, Mixpanel — technically similar. The difference lies in what you put into them. A common mistake: events like screen_view, button_tap_1, button_tap_2 without context. A month later, no one remembers what button_tap_2 means.

Proper taxonomy: object + action + context. product_viewed, checkout_started, payment_completed with parameters product_id, category, price, source. This allows building funnels, cohort analysis, and retention without additional tracking.

We document the naming convention in a tracking plan — a document (Google Sheet or Amplitude Data Catalog) describing every event, its parameters, and triggering conditions. The tracking plan is synced with the analytics team before development begins, not after. This approach ensures that data remains interpretable months later and doesn't become a dump. Experience from 50+ projects confirms: without a tracking plan, analytics maintenance costs increase 2-3 times due to rework.

What Should You Choose for Mobile App Analytics: Firebase, Amplitude, or Mixpanel?

The table below highlights key differences between the three popular platforms. Choice depends on budget, traffic, and tasks.

Criteria Firebase Analytics Amplitude Mixpanel
Free limit Unlimited (Spark plan) Up to 10M events/month Up to 1K MTU/month (Special)
Data latency Up to 24 hours (standard) Minutes (real-time) Minutes (real-time)
Funnels and cohorts Basic funnels, limited count Deep funnels, Journeys, cohorts Funnels, Retention, Insights
BigQuery export Yes (free, raw data) Yes (subscription) Yes (Enterprise)
Session Replay No Yes (iOS/Android SDK) No
Ad integration Google Ads (native) Via Universal Links Via partners

Firebase Analytics — free, deep integration with Google Ads, BigQuery export for raw data. Limitations: data latency up to 24 hours, limited funnels. For startups with Google Ads traffic, it's the first choice.

Amplitude — product analytics focused on cohorts and user journeys. Journeys (formerly Pathfinder) shows actual paths between events — not assumed funnels but real routes. Session Replay records sessions for UX analysis. The free tier up to 10M events/month is enough for most products at launch.

Mixpanel — close to Amplitude, stronger in real-time segmentation. Insights, Funnels, Retention cover 90% of product analysts' tasks.

How to Solve Multi-Channel Attribution with AppsFlyer?

Knowing where a user came from is a separate task. Firebase Attribution works only within the Google ecosystem. For multi-channel attribution (Facebook Ads, TikTok, Apple Search Ads, programmatic), an MMP (Mobile Measurement Partner) is needed.

AppsFlyer is the market leader. OneLink — universal deep link working on iOS and Android, correctly attributing installs from any channel. Protect360 — built-in fraud protection (fake installs, click injection on Android). Adjust and Branch are competitors with similar features. Branch excels in deep linking; Adjust is popular in gaming.

According to Apple, with iOS 14.5, apps must obtain user permission via ATT before collecting IDFA for tracking. AppsFlyer uses probabilistic matching (IP + user agent + timing) for these users — accuracy is lower but better than nothing. SKAdNetwork and Privacy Preserving Attribution provide aggregated data from Apple with a 24-72 hour delay.

How to Set Up Crash Analytics to Not Miss Bugs?

Firebase Crashlytics is the standard for crash reporting. It automatically groups crashes by stack trace, shows affected users %, and sends velocity alerts when crash rate increases by more than 10% per hour.

Important: symbolication. On iOS, .dSYM files must be automatically uploaded with each build — via Fastlane upload_symbols_to_crashlytics or Xcode Cloud built-in. Without symbols, crashes in Crashlytics appear as memory addresses. This happens more often than expected when switching to a new CI — in one project with 500k users, we found that 40% of crashes remained unsymbolicated due to a missing CI/CD step. After automation, bug response time dropped from 3 hours to 15 minutes.

For React Native and Flutter, @sentry/react-native and sentry_flutter provide additional context: breadcrumbs, network requests before the crash, Redux/Provider state.

Below is a comparison of popular crash analytics tools to choose according to your needs.

Criteria Firebase Crashlytics Sentry Instabug
Free limit Unlimited (Spark) 5k events/month 250 MAU
Grouping By stack trace + parameters By fingerprint By stack trace + metadata
Symbolication Automatic (via file) Automatic (via CLI) Automatic
Velocity alerts Yes (by % change) Yes (by count) Yes (by threshold)
Extra context Logs, Keys, Custom Keys Breadcrumbs, User, Tags User steps, network requests
Price Free (in Firebase) Paid plans available Paid plans available

Environment Setup

Three environments with separate Firebase projects: dev, staging, production. Mixing analytics from test sessions and production is a common mistake that skews all metrics. On iOS via GoogleService-Info.plist per scheme, on Android via google-services.json in each flavor folder.

Timelines: basic analytics with Firebase + Crashlytics — 3-5 days. Full tracking plan + Amplitude/Mixpanel with funnels and cohorts — 2-3 weeks. Attribution via AppsFlyer with deep linking and fraud protection — 1-2 weeks. Cost is calculated individually based on integration complexity.

What Is Included in Our Work

As part of analytics implementation, we provide:

  • Development and approval of a tracking plan with product and marketing teams.
  • SDK integration (Firebase, Amplitude, Mixpanel, AppsFlyer) considering your stack (Swift/Kotlin/Flutter/React Native).
  • Setup of funnels, cohorts, dashboards, and alerts.
  • Automation of symbolication and .dSYM upload via Fastlane.
  • Documentation of events and parameters.
  • Team training on the analytics platform.
  • Two weeks of post-release support and tracking adjustments.

Our experience: 7 years of analytics implementation and over 80 successful projects in mobile development. We guarantee data correctness and transparency at every stage.

Contact us for a consultation on setting up analytics for your app. Request an audit of your current analytics — and we will show you which metrics you are losing.