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AWS Fargate vs Google App Engine: What are the differences?

Introduction

In this article, we will compare the key differences between AWS Fargate and Google App Engine. Both Fargate and App Engine are popular platforms for running applications in the cloud. However, they differ in various aspects, including deployment models, scalability, networking, pricing, and customization options.

  1. Deployment Model: AWS Fargate provides a container-as-a-service (CaaS) deployment model, where users have more control and flexibility over their containerized applications. On the other hand, Google App Engine offers a platform-as-a-service (PaaS) deployment model, where the underlying infrastructure and management tasks are abstracted, providing a simpler app-centric development experience.

  2. Scalability: AWS Fargate allows users to scale their applications at a more granular level, as it supports autoscaling at the task level. This means that resources can be allocated based on the demand of individual tasks within a service. In contrast, Google App Engine scales at the instance level, which may result in over-provisioning of resources if certain instances have low utilization.

  3. Networking: AWS Fargate offers more networking options and flexibility compared to Google App Engine. Fargate supports integration with other AWS services, such as Elastic Load Balancer and Virtual Private Cloud (VPC), allowing for more complex network architectures. App Engine, on the other hand, has a simpler networking model, with built-in load balancing and HTTP(S) traffic routing.

  4. Pricing: AWS Fargate pricing is based on the resources consumed by the application, including CPU, memory, and network usage. Users only pay for the actual resources used by their tasks. Google App Engine pricing is based on the number of instances and their respective instance classes. This means that even if instances are underutilized, users still have to pay for the provisioned resources.

  5. Customization Options: AWS Fargate provides more customization options compared to Google App Engine. With Fargate, users have more control over the underlying container infrastructure, including selecting the container runtime and defining task-level resource limits. App Engine, in contrast, abstracts these details, allowing users to focus solely on their application code.

  6. Service Limits: AWS Fargate has higher service limits compared to Google App Engine. This means that Fargate allows for running larger workloads and more concurrent tasks. App Engine, on the other hand, has certain limits on instances, requests, and data storage, which could impact the scalability and performance of applications.

In summary, AWS Fargate and Google App Engine differ in their deployment models, scalability options, networking capabilities, pricing structures, customization levels, and service limits. Each platform has its strengths and is suitable for different types of applications and use cases.

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Pros of AWS Fargate
Pros of Google App Engine
    Be the first to leave a pro
    • 145
      Easy to deploy
    • 106
      Auto scaling
    • 80
      Good free plan
    • 62
      Easy management
    • 56
      Scalability
    • 35
      Low cost
    • 32
      Comprehensive set of features
    • 28
      All services in one place
    • 22
      Simple scaling
    • 19
      Quick and reliable cloud servers
    • 6
      Granular Billing
    • 5
      Easy to develop and unit test
    • 4
      Monitoring gives comprehensive set of key indicators
    • 3
      Really easy to quickly bring up a full stack
    • 3
      Create APIs quickly with cloud endpoints
    • 2
      Mostly up
    • 2
      No Ops

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    Cons of AWS Fargate
    Cons of Google App Engine
    • 2
      Expensive
      Be the first to leave a con

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      What is AWS Fargate?

      AWS Fargate is a technology for Amazon ECS and EKS* that allows you to run containers without having to manage servers or clusters. With AWS Fargate, you no longer have to provision, configure, and scale clusters of virtual machines to run containers.

      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.

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      Jobs that mention AWS Fargate and Google App Engine as a desired skillset
      What companies use AWS Fargate?
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      See which teams inside your own company are using AWS Fargate or Google App Engine.
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      What tools integrate with AWS Fargate?
      What tools integrate with Google App Engine?

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      What are some alternatives to AWS Fargate and Google App Engine?
      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 Batch
      It enables developers, scientists, and engineers to easily and efficiently run hundreds of thousands of batch computing jobs on AWS. It dynamically provisions the optimal quantity and type of compute resources (e.g., CPU or memory optimized instances) based on the volume and specific resource requirements of the batch jobs submitted.
      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.
      Batch
      Yes, we’re really free. So, how do we keep the lights on? Instead of charging you a monthly fee, we sell ads on your behalf to the top 500 mobile advertisers in the world. With Batch, you earn money each month while accessing great engagement tools for free.
      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.
      See all alternatives