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AWS Fargate vs Google Cloud Run: What are the differences?
Key Differences between AWS Fargate and Google Cloud Run
AWS Fargate and Google Cloud Run are both serverless compute services that enable users to deploy containerized applications on a cloud platform. However, there are several key differences between the two platforms.
Billing Model: AWS Fargate follows a pay-per-use billing model, where users are billed based on the amount of CPU and memory resources consumed by their containers. In contrast, Google Cloud Run charges customers based on the number of requests made to their applications, as well as the duration of those requests.
Containerization Technology: AWS Fargate uses Docker as its containerization technology, allowing users to build, deploy, and manage containers using the Docker ecosystem. On the other hand, Google Cloud Run leverages Knative, an open-source platform for deploying and managing serverless workloads, offering users a more flexible and extensible containerization technology.
Service Scaling: AWS Fargate provides auto-scaling capabilities, allowing users to automatically adjust the number of containers based on the workload demand. This ensures optimal performance and cost-efficiency. Google Cloud Run, on the other hand, offers built-in auto-scaling for requests, scaling the number of instances up or down based on the number of incoming requests.
Service Integration: AWS Fargate seamlessly integrates with other AWS services such as Elastic Load Balancing, Amazon VPC, and AWS CloudFormation, providing users with a comprehensive ecosystem of cloud services. In contrast, Google Cloud Run integrates with other Google Cloud services like Cloud Pub/Sub and Cloud Build, enabling users to take advantage of Google's ecosystem.
Platform Maturity: AWS Fargate has been available since 2017 and has a more mature ecosystem with a wide range of features and documentation. Google Cloud Run, launched in 2019, is a newer platform and may have a smaller community and fewer resources available.
Deployment Options: AWS Fargate supports deploying containers as standalone tasks within an Amazon ECS or EKS cluster, providing users with more options for deployment. On the other hand, Google Cloud Run only supports deploying applications as stateless HTTP containers, limiting the types of applications that can be deployed.
In summary, AWS Fargate and Google Cloud Run differ in their billing models, containerization technologies, scaling capabilities, service integrations, platform maturity, and deployment options. Users should consider these differences in order to determine which platform best suits their specific needs and requirements.
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.
Pros of AWS Fargate
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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Cons of AWS Fargate
- Expensive2