AWS App Runner and Google Cloud Run are two serverless computing platforms that can help you deploy and run containerized applications without having to worry about servers. Both platforms are relatively new, but they have quickly become popular choices for developers.
What are the similarities?
Both platforms are serverless, meaning that you don’t have to provision or manage servers. The platforms will automatically scale your application up or down based on demand, so you only pay for the resources that you use. Both platforms support containerized applications. This means that you can package your application code and dependencies into a container and deploy it to the platform. Both platforms are easy to use. You can deploy your application with a few clicks or a few commands. Both platforms are scalable. They can automatically scale your application up or down based on demand, so you can handle even the most unpredictable traffic spikes.
What are the differences?
AWS App Runner supports a wider range of languages and frameworks than Google Cloud Run. For example, AWS App Runner supports Python, Node.js, Java, Go, and Ruby on Rails, while Google Cloud Run only supports Python, Node.js, and Java. AWS App Runner is priced based on the number of requests that your application receives and the amount of compute time that it uses. Google Cloud Run is priced based on the amount of compute time that your application uses. AWS App Runner has some features that Google Cloud Run does not, such as support for custom domains and VPC integration. Google Cloud Run has some features that AWS App Runner does not, such as support for buildpacks and serverless functions.
Which platform is right for you?
AWS App Runner is like a one-stop shop for deploying and running containerized applications. It has a wide range of features and supports a variety of languages and frameworks. Google Cloud Run is more like a bare-bones platform. It is simpler to use and has fewer features, but it is also more flexible and can be used for a wider range of workloads.