Device Streaming: The latest devices you need, when you need them
Device Streaming in Android Studio is free to use during Alpha. Register for you and your team to start testing against the latest devices, like the Google Pixel Fold and Pixel 8. As an Android app developer, you know that testing your app on a variety of devices to ensure compatibility is crucial to your app’s success. But with so many different devices in the Android ecosystem, how do you get yo
【1月23日追記】12月23日、24日に発生しました障害に関するご報告
いつもSkebをご利用いただき、誠にありがとうございます。 12月23日12時よりskeb.jpにアクセスできない大規模な障害が発生しておりましたが、12月24日07時に復旧いたしました。 12月23日、および12月24日が納品期限のリクエストは納品期限を12月25日23時59分までに延長させていただきます。 みなさまには多大なご迷惑をお掛けしましたことをお詫び申し上げます。 本障害につきまして詳細をご報告させていただきます。 概要日時: 12月23日12時22分〜12月24日7時00分 (JST) ダウンタイム: 18時間38分 内容: skeb.jpにアクセスできない不具合 原因: SkebはすべてのサーバとシステムをHerokuに設置していたが、障害発生時刻より同サービスのアカウントが理由の通知なく利用できなくなった。 解決: Herokuの一切の利用を中止し、すべてのサーバとシステ
Android HDR | Migrating from TextureView to SurfaceView (Part #1) — How to Migrate
Part #1 of a technical guide on how to migrate away from TextureView to the much preferred SurfaceView to enable HDR playback on supported devices. IntroUsers are creating and consuming more content daily, especially video content. Whether it’s social media, video calls, or watching your favorite movie on demand, we know that users expect the highest quality content they can get their hands on. Th
インフラエンジニアなら気になるQUICのロードバランサ (方式編)
図1: QUICコネクションを振り分けるロードバランサはじめに本記事では、バックエンドのWebサーバへリクエストを振り分ける装置の意味でのロードバランサ(図1)について、QUIC対応の議論状況を紹介します。方式編と実装編にわけて二編を予定しており、本稿は方式についての解説です。 IETFでは、F5 Networksとマイクロソフトから提案されたロードバランシング方式が議論されています。本稿では下記のインターネットドラフトをQUIC-LBと表記します。 QUIC-LB: Generating Routable QUIC Connection IDs https://datatracker.ietf.org/doc/html/draft-ietf-quic-load-balancers 執筆時点の -07 をベースとしますが、ドラフトですので今後の議論次第で改版が続きます。あらかじめご承知おき
Migrating from LiveData to Kotlin’s Flow
LiveData was something we needed back in 2017. The observer pattern made our lives easier, but options such as RxJava were too complex for beginners at the time. The Architecture Components team created LiveData: a very opinionated observable data holder class, designed for Android. It was kept simple to make it easy to get started and the recommendation was to use RxJava for more complex reactive
Busting Android performance myths
Over the years, several myths have emerged about performance on Android. While some myths can be entertaining or amusing, being sent in the wrong direction when looking to create performant Android apps is no fun. In this blog post, in the spirit of MythBusters, we’re going to test these myths. For our myth-busting, we use real-world examples and tools that you can use. We focus on dominant use pa
Coroutines & Patterns for work that shouldn’t be cancelled
In part 2 of the Cancellation and Exceptions in Coroutines series, we learnt the importance of cancelling work when it’s no longer needed. On Android, you can use the CoroutineScopes provided by Jetpack: viewModelScope or lifecycleScope that cancel any running work when their scope completes — that is when the Activity/Fragment/Lifecycle completes. If you’re creating your own CoroutineScope, make
Concatenate adapters sequentially with ConcatAdapter
ConcatAdapter is a new class available in recyclerview:1.2.0-alpha02 which enables you to sequentially combine multiple adapters to be displayed in a single RecyclerView. This enables you to better encapsulate your adapters rather than having to combine many data sources into a single adapter, keeping them focused and re-usable. One use case for this is displaying a list loading state in a header
Translucent SystemBars the right way — across API levels and themes
Goal:To draw edge to edge with translucent status and navigation bars on v21+ with dark and light themes. This article assumes you have already gone through Gesture Navigation- Going Edge to Edge (I) Since we want the content to be drawn behind the system bars, it means that We need translucencyWe need either dark or light scrims for navigation bar and statusBar as per the current theme.Capability
Kotlinx Json vs Gson
If you have ever implemented any REST API in your mobile app, you should be familiar with JSON format. JSON is an open-standard file format or data interchange format that uses human-readable text to transmit data objects consisting of attribute-value pairs and array data types. The most common way how to parse JSON-format data to java/kotlin objects is by using one of the popular libraries like J
Suspending over Views
Kotlin Coroutines allow us to model asynchronous problems like synchronous code. That’s great, but most usage seems to concentrate on I/O tasks and concurrent operations. Coroutines are great at modelling problems which work across threads, but can also model asynchronous problems on the same thread. There’s one place which I think really benefits from this, and that’s working with the Android vie
Dependency Injection Guidance on Android — ADS 2019
According to our introduction to Dependency Injection (DI), we believe you should always use DI principles in your applications. If you’re developing a professional Android app, use Dagger to better manage your dependencies. We recommended using Dagger for medium and large apps; for small apps or pet projects, it doesn’t matter the tool you use, but the sooner you add Dagger to your project, the b
データ指向アプリケーションデザイン
AmazonでMartin Kleppmann, 斉藤 太郎, 玉川 竜司のデータ指向アプリケーションデザイン ―信頼性、拡張性、保守性の高い分散システム設計の原理。アマゾンならポイント還元本が多数。Martin Kleppmann… 手軽に扱えるデータの量や種類が増える一方、CPUの性能はムーアの法則通りには成長しなくなり、大規模データ処理では、多数のマシンを活用する分散処理が欠かせなくなってきました。クラウドの普及とともに多数のマシンを自ら調達せずとも分散システムを構築できるようにもなっています。 しかし驚くべきことに、今までこの分野に入門するための定番の書籍がありませんでした。分散処理にデータ処理が加わる融合分野である上、オープンソースプロジェクトの進化も速く、専門家同士でも共通の理解を構築するのが非常に難しかった分野です。この本を上手に使うと、既存のOSSプロジェクトの位置付けや、
Dependency injection in a multi module project
Let me quickly recap what Plaid looks like from a bird’s eye view. We have an app module, which contains the main launcher activity. Also there are several dynamic feature modules (DFM) which depend on the app module. Each DFM contains at least one activity, code and resources related to only the feature in question. The app module depends on a core module which contains shared code and resources
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65% Smaller APKs and 70% Less Memory: How I Optimized My Android App -Part II (App Memory)
Customizing WorkManager — Fundamentals