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How can App Engine customers make the most of Cloud Features?


Posted by Wesley Chun (@wescpy), Developer Advocate, Google Cloud


Not too long ago, we mentioned containerizing App Engine apps for Cloud Run, with or with out Docker. However what about Cloud Features… can App Engine customers make the most of that platform someway? Again within the day, App Engine was all the time the appropriate resolution, as a result of it was the solely choice. With Cloud Features and Cloud Run becoming a member of within the serverless product suite, that is now not the case.

Again when App Engine was the one alternative, it was chosen to host small, single-function apps. Sure, when it was the one choice. Different builders have created big monolithic apps for App Engine as effectively… as a result of it was additionally the one choice. Quick ahead to at this time the place code follows extra service-oriented or event-driven architectures. Small apps could be moved to Cloud Features to simplify the code and deployments whereas giant apps may very well be cut up into smaller elements, every operating on Cloud Features.

Refactoring App Engine apps for Cloud Features

Small, single-function apps could be seen as a microservice, an API endpoint “that does one thing,” or serve some utility probably referred to as on account of some occasion in a bigger multi-tiered utility, say to replace a database row or ship a buyer e mail message. App Engine apps require some type net framework and routing mechanism whereas Cloud Perform equivalents could be free of a lot of these necessities. Refactoring all these App Engine apps for Cloud Features will like require much less overhead, helps ease upkeep, and permit for widespread elements to be shared throughout functions.

Giant, monolithic functions are sometimes made up of a number of items of performance bundled collectively in a single huge package deal, comparable to requisitioning a brand new piece of apparatus, opening a buyer order, authenticating customers, processing funds, performing administrative duties, and so forth. By breaking this monolith up into a number of microservices into particular person capabilities, every part can then be reused in different apps, upkeep is eased as a result of software program bugs will determine code nearer to their root origins, and builders will not step on every others’ toes.

Migration to Cloud Features

On this newest episode of Serverless Migration Station, a Serverless Expeditions mini-series centered on modernizing serverless apps, we take a better have a look at this product crossover, protecting the right way to migrate App Engine code to Cloud Features. There are a number of steps it is advisable take to organize your code for Cloud Features:

  • Divest from legacy App Engine “bundled providers,” e.g., Datastore, Taskqueue, Memcache, Blobstore, and so forth.
  • Cloud Features helps fashionable runtimes; improve to Python 3, Java 11, or PHP 7
  • In case your app is a monolith, break it up into a number of unbiased capabilities. (You may also maintain a monolith collectively and containerize it for Cloud Run instead.)
  • Make applicable utility updates to assist Cloud Features

    The primary three bullets are exterior the scope of this video and its codelab, so we’ll deal with the final one. The adjustments wanted to your app embody the next:

    1. Take away unneeded and/or unsupported configuration
    2. Take away use of the net framework and supporting routing code
    3. For every of your capabilities, assign an applicable identify and set up the request object it is going to obtain when it’s referred to as.

    Relating to the final level, notice you could have a number of “endpoints” coming right into a single perform which processes the request path, calling different capabilities to deal with these routes. When you’ve got many capabilities in your app, separate capabilities for each endpoint turns into unwieldy; if giant sufficient, your app could also be extra fitted to Cloud Run. The pattern app on this video and corresponding code pattern solely has one perform, so having a single endpoint for that perform works completely high quality right here.

    This migration sequence focuses on our earliest customers, beginning with Python 2. Relating to the primary level, the app.yaml file is deleted. Subsequent, nearly all Flask sources are eliminated apart from the template renderer (the app nonetheless must output the identical HTML as the unique App Engine app). All app routes are eliminated, and there is no instantiation of the Flask app object. Lastly for the final step, the principle perform is renamed extra appropriately to visitme() together with a request object parameter.

    This “migration module” begins with the (Python 3 model of the) Module 2 pattern app, applies the steps above, and arrives on the migrated Module 11 app. Implementing these required adjustments is illustrated by this code “diff:”

    Migration of pattern app to Cloud Features

    Subsequent steps

    For those who’re considering attempting this migration by yourself, be at liberty to strive the corresponding codelab which leads you step-by-step by way of this train and use the video for added steerage.

    All migration modules, their movies (when printed), codelab tutorials, START and FINISH code, and so forth., could be discovered within the migration repo. We hope to additionally someday cowl different legacy runtimes like Java 8 in addition to content material for the next-generation Cloud Features service, so keep tuned. For those who’re curious whether or not it is attainable to jot down apps that may run on App Engine, Cloud Features, or Cloud Run with no code adjustments in any respect, the reply is sure. Hope this content material is beneficial to your consideration when modernizing your personal serverless functions!



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