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AWS Firecracker

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IronWorker

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AWS Firecracker vs IronWorker: What are the differences?

AWS Firecracker: Secure and fast microVMs for serverless computing. 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; IronWorker: High-Scale Async Task Processing. IronWorker provides the muscle for modern applications by efficiently isolating the code and dependencies of individual tasks to be processed on demand. Run in a multi-language containerized environment with streamlined orchestration, IronWorker gives you the flexibility to power any task in parallel at massive scale.

AWS Firecracker and IronWorker belong to "Serverless / Task Processing" category of the tech stack.

AWS Firecracker is an open source tool with 8.6K GitHub stars and 521 GitHub forks. Here's a link to AWS Firecracker's open source repository on GitHub.

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Pros of AWS Firecracker
Pros of IronWorker
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      Ease of configuration
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      Great customer support
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      Fully on-premise deployable
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      Cloud agnostic
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      Language agnostic
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      Can run Docker containers

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    - No public GitHub repository available -

    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 IronWorker?

    IronWorker provides the muscle for modern applications by efficiently isolating the code and dependencies of individual tasks to be processed on demand. Run in a multi-language containerized environment with streamlined orchestration, IronWorker gives you the flexibility to power any task in parallel at massive scale.

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    What companies use AWS Firecracker?
    What companies use IronWorker?
    See which teams inside your own company are using AWS Firecracker or IronWorker.
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    What tools integrate with AWS Firecracker?
    What tools integrate with IronWorker?
      No integrations found
      What are some alternatives to AWS Firecracker and IronWorker?
      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