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Google App Engine vs Google Cloud Run: What are the differences?
| 1. **Deployment Flexibility**: *Google App Engine* provides a Platform as a Service (PaaS) environment, allowing users to deploy applications without worrying about infrastructure management. On the other hand, *Google Cloud Run* offers a more flexible approach by enabling users to run stateless containers on a fully managed environment or even on their own Kubernetes cluster, providing better control over deployment configurations. 2. **Scalability**: While both platforms support auto-scaling to handle varying workloads, *Google App Engine* scales automatically based on incoming traffic, making it more suitable for applications with unpredictable usage patterns. In comparison, *Google Cloud Run* can be configured to scale based on more specific metrics like CPU utilization, offering finer control over resource allocation. 3. **Pricing Model**: *Google App Engine* follows a pricing model based on instance hours and resources consumed, which may result in more predictable costs for long-running applications. Conversely, *Google Cloud Run* charges users based on the number of requests and vCPU utilization, making it more cost-effective for applications with sporadic traffic. 4. **Portability**: *Google App Engine* requires developers to adhere to certain constraints and dependencies specific to the platform, potentially limiting the portability of applications to other environments. On the contrary, *Google Cloud Run* allows users to encapsulate their applications in containers, promoting portability across various cloud providers and on-premises environments. 5. **Execution Environment**: *Google App Engine* abstracts the underlying infrastructure and provides a ready-to-use runtime environment for deploying applications, simplifying the development process. In contrast, *Google Cloud Run* grants users more control over the container execution environment, allowing them to customize aspects like environment variables and entry points for greater flexibility. 6. **Use Cases**: *Google App Engine* is well-suited for developing and deploying simple web applications and APIs quickly, thanks to its streamlined deployment process and auto-scaling capabilities. On the other hand, *Google Cloud Run* caters to users seeking a serverless container platform for running microservices or complex workloads that require more control over resources and scalability. |
In Summary, Google App Engine and Google Cloud Run differ in deployment flexibility, scalability, pricing model, portability, execution environment, and use cases, catering to distinct application development requirements.
Decisions about Google App Engine and Google Cloud Run
Clifford Crerar
Software Engineer at Bidvest Advisory Services · | 9 upvotes · 71.3K views
Run cloud service containers instead of cloud-native services
- Running containers means that your microservices are not "cooked" into a cloud provider's architecture.
- Moving from one cloud to the next means that you simply spin up new instances of your containers in the new cloud using that cloud's container service.
- Start redirecting your traffic to the new resources.
- Turn off the containers in the cloud you migrated from.
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Learn MorePros of Google App Engine
Pros of Google Cloud Run
Pros of Google App Engine
- Easy to deploy145
- Auto scaling106
- Good free plan80
- Easy management62
- Scalability56
- Low cost35
- Comprehensive set of features32
- All services in one place28
- Simple scaling22
- Quick and reliable cloud servers19
- Granular Billing6
- Easy to develop and unit test5
- Monitoring gives comprehensive set of key indicators5
- Really easy to quickly bring up a full stack3
- Create APIs quickly with cloud endpoints3
- No Ops2
- Mostly up2
Pros of Google Cloud Run
- HTTPS endpoints11
- Fully managed10
- Pay per use10
- Concurrency: multiple requests sent to each container7
- Deploy containers7
- Serverless7
- Custom domains with auto SSL6
- "Invoke IAM permission" to manage authentication4
- Cons0
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What is Google App Engine?
Google has a reputation for highly reliable, high performance infrastructure. With App Engine you can take advantage of the 10 years of knowledge Google has in running massively scalable, performance driven systems. App Engine applications are easy to build, easy to maintain, and easy to scale as your traffic and data storage needs grow.
What is Google Cloud Run?
A managed compute platform that enables you to run stateless containers that are invocable via HTTP requests. It's serverless by abstracting away all infrastructure management.
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What companies use Google App Engine?
What companies use Google Cloud Run?
What companies use Google App Engine?
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What tools integrate with Google App Engine?
What tools integrate with Google Cloud Run?
What tools integrate with Google App Engine?
What tools integrate with Google Cloud Run?
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What are some alternatives to Google App Engine and Google Cloud Run?
Heroku
Heroku is a cloud application platform – a new way of building and deploying web apps. Heroku lets app developers spend 100% of their time on their application code, not managing servers, deployment, ongoing operations, or scaling.
DigitalOcean
We take the complexities out of cloud hosting by offering blazing fast, on-demand SSD cloud servers, straightforward pricing, a simple API, and an easy-to-use control panel.
AWS Lambda
AWS Lambda is a compute service that runs your code in response to events and automatically manages the underlying compute resources for you. You can use AWS Lambda to extend other AWS services with custom logic, or create your own back-end services that operate at AWS scale, performance, and security.
Kubernetes
Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions.
AWS Elastic Beanstalk
Once you upload your application, Elastic Beanstalk automatically handles the deployment details of capacity provisioning, load balancing, auto-scaling, and application health monitoring.