#CLOUD BROWSE APP FOR ANDROID APK#
#CLOUD BROWSE APP FOR ANDROID INSTALL#
#CLOUD BROWSE APP FOR ANDROID ANDROID#
#CLOUD BROWSE APP FOR ANDROID SOFTWARE#
#CLOUD BROWSE APP FOR ANDROID CODE#

Step 3: Using the code profiles to optimize performance There is also built-in support for App Bundles / Google Play Dynamic Delivery: without any developer intervention, all the app's feature splits are optimized. A key difference is that the dex metadata are managed solely by the platform and the app stores, and are not directly visible to developers.

#CLOUD BROWSE APP FOR ANDROID APK#

Similar to the APKs, the dex metadata files are regular archives that contain data about how the APK should be optimized - like the core code profiles that have been built in the cloud.

#CLOUD BROWSE APP FOR ANDROID ANDROID#

In Android 9.0 Pie, we introduced a new type of installation artifact: dex metadata files. *Data averaged from Google apps, Source: Google internal data Step 2: Installing the code profile That means we are able to build a code profile fast enough that the majority of users will benefit from. We remove outliers to ensure we focus on the code that matters for most users.Įxperiments show that the most commonly used code paths can be calculated very quickly, over a small amount of time. The outcome of the aggregation is what we call a core code profile, which only contains anonymous data about the code that is frequently seen across a random sample of sessions per device. Sampling too little data, and the code profile won't have enough information on what to properly optimize in order to make a difference. In addition, the longer we take to build the code profile, the fewer users get the benefits. Sampling too much data takes up more bandwidth and time at installation. One of the main goals is to build a quality, stable code profile out of aggregated & anonymized data as fast as possible (to maximize the number of users that can benefit), while also making sure we have enough data to accurately optimize an app's performance. These optimizations help improve cold startup time and steady state performance, all without an app developer needing to write a single line of code.

#CLOUD BROWSE APP FOR ANDROID INSTALL#

On a device, the code profile acts as a seed, enabling efficient profile-guided optimization at install time.

Once there is enough information, the code profile gets published and installed alongside the app's APKs. ART analyzes what part of the application code is worth optimizing on the initial devices, and then uploads the data to Play Cloud, which will build a core-aggregated code profile (containing information relevant to all devices). This means we can use the initial rollout of an app to bootstrap the performance for the rest of users. Even if there isn't an alpha/beta set, there is often a ramp-up of users to a new version of an app.

App developers often roll-out their apps incrementally, starting with alpha/beta channels before expanding to a wider audience.

This can often be discovered by aggregating a few hundred data points. classes used during startup or critical user paths.

Apps usually have many commonly used code paths (hot code) between a multitude of users and devices, e.g.

However, it relies on the device to optimize apps based on these code profiles in idle maintenance mode, which means it could be a few days before a user sees the benefits - something we aimed to improve.ĪRT optimizing profiles in Play Cloud leverages the power of Android Play to bring all PGO benefits at install/update time: most users can get great performance without waiting! This leads to big improvements while reducing the traditional memory and storage impact of a fully compiled app. PGO allows the Android Runtime to help improve an app's performance by building a profile of the app's most important hot code and focusing its optimization effort on it. The feature builds on previous Profile Guided Optimization (PGO) work, which was introduced in Android 7.0 Nougat. Source: Google internal data ART optimizing profiles in Play Cloud

One of the most important aspects is that users get this for free, without any effort from their side or from developers! Some hero cases even show 30%+ faster startup times. On average, we have observed that apps start 15% faster (cold startup) across a variety of devices. In Android Pie we launched ART optimizing profiles in Play Cloud, a new optimization feature that greatly improves the application startup time after a new install or update.

#CLOUD BROWSE APP FOR ANDROID SOFTWARE#

Posted by Calin Juravle, Software Engineer

Cloud browse app for android