May 1, 2024
Updated May 12, 2025
26 minute read
Google App Engine is a fully managed, serverless platform that allows developers to build and deploy applications on Google's massive infrastructure. Essentially, it takes care of the underlying hardware and software configurations, enabling you to focus solely on writing code and building features for your application. This can be particularly appealing if you want to develop scalable web applications without the complexities of server management. App Engine supports popular programming languages like Python, Java, Node.js, Go, PHP, and Ruby, making it accessible to a wide range of developers.
Working with App Engine can be an engaging experience for several reasons. Firstly, the platform's automatic scaling capabilities mean your application can seamlessly handle sudden spikes in traffic and scale down during quieter periods, optimizing costs and performance. Secondly, its integration with other Google Cloud services, such as Cloud Datastore and Cloud SQL, provides a comprehensive ecosystem for building robust applications. Finally, the "NoOps" environment means you spend less time on infrastructure concerns and more time on innovation and development.
Introduction to App Engine
This section will delve deeper into what App Engine is, its history, common use cases, and how it compares to more traditional ways of deploying applications.
Definition and core purpose of App Engine
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Find a path to becoming a App Engine. Learn more at:
OpenCourser.com/topic/aq7xbv/app
Reading list
We've selected six books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
App Engine.
Provides a comprehensive guide to building and deploying scalable and reliable web applications using Google App Engine. It covers topics such as data modeling, caching, task queues, and authentication.
Provides a comprehensive guide to building scalable web applications on Google App Engine. It covers topics such as data modeling, caching, task queues, and authentication.
Provides a comprehensive overview of Google App Engine, covering topics such as setting up a development environment, deploying applications, and scaling applications. It also includes case studies and best practices.
Provides a comprehensive overview of the Google Cloud Platform, including Google App Engine. It covers topics such as creating and managing projects, deploying applications, and using Google Cloud services.
Este libro proporciona una descripción general completa de Google App Engine, que cubre temas como la configuración de un entorno de desarrollo, la implementación de aplicaciones y el escalado de aplicaciones. También incluye estudios de casos y mejores prácticas.
Covers the use of Google Cloud Platform for machine learning. It includes a section on using Google App Engine for building and deploying machine learning models.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/aq7xbv/app
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