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AWS Firecracker

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AWS Firecracker vs Google Cloud Run: What are the differences?

Introduction: In the cloud computing landscape, AWS Firecracker and Google Cloud Run are two emerging serverless compute services that offer unique features and functionalities. Understanding the key differences between these platforms is essential for making an informed decision on which service best fits your specific use case.

  1. Containerization Approach: AWS Firecracker is a lightweight virtualization technology specifically designed for running containers, providing a secure and efficient environment. On the other hand, Google Cloud Run allows users to deploy any stateless containerized application without the need to manage infrastructure, making it more versatile for a broader range of applications.

  2. Pricing Model: AWS Firecracker charges users based on the number of vCPUs and memory allocated to each microVM, offering a predictable and granular pricing structure. In contrast, Google Cloud Run follows a pay-as-you-go model based on the resources consumed by the containerized application, providing flexibility for fluctuating workloads.

  3. Isolation and Security: AWS Firecracker ensures strong isolation between microVMs using KVM-based virtualization, minimizing the attack surface and enhancing security for running containers. Google Cloud Run leverages Google's secure infrastructure to isolate and protect container instances, reducing the risk of security vulnerabilities.

  4. Scaling Capabilities: AWS Firecracker allows users to scale their microVMs up or down to meet changing workload demands efficiently, providing seamless scalability for containerized applications. Google Cloud Run automatically scales the container instances based on incoming requests, optimizing resource utilization and cost-effectiveness.

  5. Integration with Cloud Services: AWS Firecracker seamlessly integrates with the AWS ecosystem, enabling users to leverage a wide range of AWS services for building and deploying cloud-native applications. In contrast, Google Cloud Run integrates with Google Cloud Platform services, offering a cohesive environment for developing and running container-based applications within GCP.

  6. Networking Features: AWS Firecracker provides advanced networking capabilities such as custom network configurations, VPC peering, and ENI attachment for enhanced network security and performance. Google Cloud Run offers built-in load balancing, SSL termination, and automatic HTTP/HTTPS routing, simplifying the management of networking aspects for containerized applications.

In Summary, understanding the key differences between AWS Firecracker and Google Cloud Run in terms of containerization approach, pricing model, isolation and security, scaling capabilities, integration with cloud services, and networking features is crucial for selecting the most suitable serverless compute service for your specific workload requirements.

Decisions about AWS Firecracker and Google Cloud Run
Clifford Crerar
Software Engineer at Bidvest Advisory Services · | 9 upvotes · 67K 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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Pros of AWS Firecracker
Pros of Google Cloud Run
    Be the first to leave a pro
    • 11
      HTTPS endpoints
    • 10
      Fully managed
    • 10
      Pay per use
    • 7
      Concurrency: multiple requests sent to each container
    • 7
      Deploy containers
    • 7
      Serverless
    • 6
      Custom domains with auto SSL
    • 4
      "Invoke IAM permission" to manage authentication
    • 0
      Cons

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    What is AWS Firecracker?

    Firecracker is an open source virtualization technology that is purpose-built for creating and managing secure, multi-tenant container and function-based services that provide serverless operational models. Firecracker runs workloads in lightweight virtual machines, called microVMs, which combine the security and isolation properties provided by hardware virtualization technology with the speed and flexibility of containers.

    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 AWS Firecracker?
    What companies use Google Cloud Run?
    See which teams inside your own company are using AWS Firecracker or Google Cloud Run.
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    What tools integrate with AWS Firecracker?
    What tools integrate with Google Cloud Run?

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    What are some alternatives to AWS Firecracker and Google Cloud Run?
    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.
    Docker
    The Docker Platform is the industry-leading container platform for continuous, high-velocity innovation, enabling organizations to seamlessly build and share any application — from legacy to what comes next — and securely run them anywhere
    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.
    Serverless
    Build applications comprised of microservices that run in response to events, auto-scale for you, and only charge you when they run. This lowers the total cost of maintaining your apps, enabling you to build more logic, faster. The Framework uses new event-driven compute services, like AWS Lambda, Google CloudFunctions, and more.
    Azure Functions
    Azure Functions is an event driven, compute-on-demand experience that extends the existing Azure application platform with capabilities to implement code triggered by events occurring in virtually any Azure or 3rd party service as well as on-premises systems.
    See all alternatives