AWS Fargate vs Google Cloud Run

Developers should use AWS Fargate when they want to deploy containerized applications without the operational overhead of managing EC2 instances, scaling, or patching meets developers should use cloud run when building microservices, apis, or event-driven applications that require automatic scaling and minimal operational overhead. Here's our take.

AWS Fargate

Nice Pick

Developers should use AWS Fargate when they want to deploy containerized applications without the operational overhead of managing EC2 instances, scaling, or patching

Pros

• It's ideal for microservices architectures, batch processing jobs, and applications with variable workloads where serverless scaling is beneficial
• Related to: amazon-ecs, amazon-eks

Cons

• Specific tradeoffs depend on your use case

Google Cloud Run

Developers should use Cloud Run when building microservices, APIs, or event-driven applications that require automatic scaling and minimal operational overhead

Pros

• It's ideal for workloads with variable traffic patterns, as it scales to zero when idle to reduce costs, and is well-suited for modern cloud-native development using containers
• Related to: docker, kubernetes

Cons

• Specific tradeoffs depend on your use case

The Verdict

Use AWS Fargate if: You want it's ideal for microservices architectures, batch processing jobs, and applications with variable workloads where serverless scaling is beneficial and can live with specific tradeoffs depend on your use case.

Use Google Cloud Run if: You prioritize it's ideal for workloads with variable traffic patterns, as it scales to zero when idle to reduce costs, and is well-suited for modern cloud-native development using containers over what AWS Fargate offers.

The Bottom Line

AWS Fargate wins

Developers should use AWS Fargate when they want to deploy containerized applications without the operational overhead of managing EC2 instances, scaling, or patching