Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Shipping Apps Confidently with Firebase
Search
Subhrajyoti Sen
November 06, 2021
Programming
0
43
Shipping Apps Confidently with Firebase
Subhrajyoti Sen
November 06, 2021
Tweet
Share
More Decks by Subhrajyoti Sen
See All by Subhrajyoti Sen
Compose Previews as a Power User
subhrajyotisen
1
100
Understanding WindowInsets
subhrajyotisen
0
140
Exploring a KMM Developer’s Toolkit
subhrajyotisen
0
150
Understanding WindowInsets - Android Worldwide
subhrajyotisen
0
260
Understanding WindowInsets
subhrajyotisen
1
160
Demystifying Styles and Themes
subhrajyotisen
0
190
Journey Of Time
subhrajyotisen
0
190
Where Did My State Go? - WWC Mobile
subhrajyotisen
0
180
Building a Better Codebase with Lint - Droidcon APAC
subhrajyotisen
1
190
Other Decks in Programming
See All in Programming
kintone開発を効率化するためにチームで試した施策とその結果を大放出!
oguemon
0
260
Rubyで始める関数型ドメインモデリング
shogo_tksk
0
140
AIプログラミング雑キャッチアップ
yuheinakasaka
19
4.9k
pylint custom ruleで始めるレビュー自動化
shogoujiie
0
160
『テスト書いた方が開発が早いじゃん』を解き明かす #phpcon_nagoya
o0h
PRO
9
2.5k
PHPのバージョンアップ時にも役立ったAST
matsuo_atsushi
0
230
もう僕は OpenAPI を書きたくない
sgash708
6
1.9k
良いコードレビューとは
danimal141
7
3.7k
クリーンアーキテクチャから見る依存の向きの大切さ
shimabox
5
1.1k
Ça bouge du côté des animations CSS !
goetter
2
160
Generating OpenAPI schema from serializers throughout the Rails stack - Kyobashi.rb #5
envek
1
400
Unity Android XR入門
sakutama_11
0
180
Featured
See All Featured
Become a Pro
speakerdeck
PRO
26
5.2k
Done Done
chrislema
182
16k
Making Projects Easy
brettharned
116
6k
How To Stay Up To Date on Web Technology
chriscoyier
790
250k
Testing 201, or: Great Expectations
jmmastey
42
7.2k
Navigating Team Friction
lara
183
15k
Performance Is Good for Brains [We Love Speed 2024]
tammyeverts
7
650
KATA
mclloyd
29
14k
Code Review Best Practice
trishagee
67
18k
Building a Modern Day E-commerce SEO Strategy
aleyda
38
7.1k
Why Our Code Smells
bkeepers
PRO
336
57k
Designing Dashboards & Data Visualisations in Web Apps
destraynor
231
53k
Transcript
Shipping Apps Con dently with Firebase KeepTruckin Subhrajyoti Sen DevFest
Greece & Cyprus 2021 November 2021
Crashes
Crashlytics
Crashlytics • Automatic crash reporting
Crashlytics • • Automatic crash reporting But no limited to
crash reporting
Recording Non-fatal exceptions
Recording Non-fatal exceptions try { // some code can throw
an exception } catch (e: Exception) { Log.d(TAG, e.localizedMessage) }
Recording Non-fatal exceptions try { // some code can throw
an exception } catch (e: Exception) { Log.d(TAG, e.localizedMessage) }
Recording Non-fatal exceptions try { // some code can throw
an exception } catch (e: Exception) { FirebaseCrashlytics.getInstance().recordException(e) }
Recording Non-fatal exceptions private class CrashReportingTree : Timber.Tree() { }
Recording Non-fatal exceptions private class CrashReportingTree : Timber.Tree() { override
fun log(priority: Int, tag: String?, message: String, t: Throwable?) { } }
Recording Non-fatal exceptions private class CrashReportingTree : Timber.Tree() { override
fun log(priority: Int, tag: String?, message: String, t: Throwable?) { if (priority == Log.ERROR && t != null) { FirebaseCrashlytics.getInstance().recordException(t) } } }
Recording Non-fatal exceptions class MainApplication : Application() { override fun
onCreate() { super.onCreate() Timber.plant(CrashReportingTree()) } }
Recording Non-fatal exceptions try { // some code can throw
an exception } catch (e: Exception) { FirebaseCrashlytics.getInstance().recordException(e) }
Recording Non-fatal exceptions try { // some code can throw
an exception } catch (e: Exception) { Timber.e(e) }
Understanding Crashes Better
Analytics
Analytics • We normally use analytics in isolation from crash
reporting
Analytics • • We normally use analytics in isolation from
crash reporting Usually PMs check the analytics and Devs check the crashes
Analytics • • • We normally use analytics in isolation
from crash reporting Usually PMs check the analytics and Devs check the crashes What if you can combine them to get a full view?
Analytics
Analytics
Analytics binding.zoomImage.setOnClickListener { MixpanelAPI.track("Zoom button clicked") }
Analytics binding.zoomImage.setOnClickListener { MixpanelAPI.track("Zoom button clicked") FirebaseAnalytics.getInstance(context) .logEvent("Zoom button clicked",
mapOf("page", "map")) }
Analytics interface AnalyticsProvider { fun track( analyticEvent: String, properties: Map<String,
Any?>? = null ) }
Analytics class FirebaseAnalyticsProvider( private val rebaseAnalytics: FirebaseAnalytics ): AnalyticsProvider {
override fun track(analyticEvent: String, properties: Map<String, Any?>?) { rebaseAnalytics.logEvent(analyticEvent, properties) } }
Analytics class FirebaseAnalyticsProvider( private val rebaseAnalytics: FirebaseAnalytics ): AnalyticsProvider {
override fun track(analyticEvent: String, properties: Map<String, Any?>?) { rebaseAnalytics.logEvent(analyticEvent, properties) } }
Analytics class AnalyticsManager { private val analyticsProviders = mutableListOf<AnalyticsProvider>() fun
addProvider(provider: AnalyticsProvider) { analyticsProviders.add(provider) } }
Analytics class AnalyticsManager { //... fun track(analyticEvent: String, properties: Map<String,
Any?>?) { analyticsProviders.forEach { provider -> provider.track(analyticEvent, properties) } } }
Analytics binding.zoomImage.setOnClickListener { analyticsManager.logEvent( "Zoom button clicked", mapOf("page", "map") )
}
Feature Flags
What's a feature ag?
What's a feature ag? if (isNewFeatureEnabled) { // allow access
to shiny new feature } else { // prevent access to shiny new feature }
Use cases
Use cases • A/B Testing
Use cases • • A/B Testing Rolling out new features
Use cases • • • A/B Testing Rolling out new
features Rolling out rewrite of existing features
Use cases • • • • A/B Testing Rolling out
new features Rolling out rewrite of existing features Merge Work-in-progress features
Types of Feature Flags?
Types of Feature Flags? • Static
Types of Feature Flags? • • Static Decided at build
time
Types of Feature Flags? • • • Static Decided at
build time Based on things like versionCode, buildVariant, etc
Types of Feature Flags? • • • • Static Decided
at build time Based on things like versionCode, buildVariant, etc Dynamic
Types of Feature Flags? • • • • • Static
Decided at build time Based on things like versionCode, buildVariant, etc Dynamic Can be controlled at runtime either locally using dev settings
Types of Feature Flags? • • • • • •
Static Decided at build time Based on things like versionCode, buildVariant, etc Dynamic Can be controlled at runtime either locally using dev settings Or remotely via services like Firebase Remote Con g
None
Show me code!!
interface Con g { val key: String val default: Boolean
val description: String }
enum class FeatureFlags( override val key: String, override val default:
Boolean, override val description: String ): Con g
enum class FeatureFlags( override val key: String, override val default:
Boolean, override val description: String ): Con g { NEW_CHECKOUT_FLOW( "checkout_ ow_v2", true, "Enable checkout ow V2 for trending items" ) }
interface FeatureFlagProvider { fun getValue(featureFlag: FeatureFlag): Boolean }
class FirebaseFeatureFlagProvider: FeatureFlagProvider { private val remoteCon g = FirebaseRemoteCon
g.getInstance() override fun getValue(featureFlag: FeatureFlag): Boolean { return remoteCon g.getBoolean(featureFlag.key) } }
class RemoteCon gManager( private val featureFlagProvider: FeatureFlagProvider ) { fun
isFeatureEnabled(featureFlag: FeatureFlag) = featureFlagProvider.getValue(featureFlag) }
if (remoteCon gManager.isFeatureEnabled(NEW_CHECKOUT_FLOW)) { // allow access to shiny new
feature } else { // prevent access to shiny new feature }
Using Feature Flags effectively
Using Feature Flags effectively • De ne success metrics
Using Feature Flags effectively • • De ne success metrics
Less Crashes?
Using Feature Flags effectively • • • De ne success
metrics Less Crashes? Smoother experience?
Using Feature Flags effectively • • • • De ne
success metrics Less Crashes? Smoother experience? Implement using your Analytics library (like Mixpanel)
Using Feature Flags effectively • • • • • De
ne success metrics Less Crashes? Smoother experience? Implement using your Analytics library (like Mixpanel) Create dashboards to compare
@iamsubhrajyoti https://calendly.com/subhrajyotisen
Credits: UC Davis