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  1. Stackups
  2. Application & Data
  3. Serverless
  4. Serverless Task Processing
  5. AWS Firecracker vs OpenFaaS

AWS Firecracker vs OpenFaaS

OverviewComparisonAlternatives

Overview

OpenFaaS
OpenFaaS
Stacks54
Followers234
Votes17
GitHub Stars26.0K
Forks2.0K
AWS Firecracker
AWS Firecracker
Stacks6
Followers34
Votes0
GitHub Stars31.0K
Forks2.1K

AWS Firecracker vs OpenFaaS: What are the differences?

Introduction

AWS Firecracker and OpenFaaS are two different platforms with distinct characteristics and use cases. Understanding the key differences between these two technologies is crucial for making an informed decision when choosing the right solution for specific requirements.

  1. Performance and Isolation:

    • AWS Firecracker: Firecracker is a lightweight virtualization technology that enables the creation of microVMs, providing high-performance and strong isolation. It leverages KVM to run workloads in their own isolated environments, which ensures security and enhances overall performance.
    • OpenFaaS: OpenFaaS, on the other hand, is a Function as a Service (FaaS) platform that operates on containers. It uses Kubernetes or Docker Swarm to orchestrate serverless functions. Although it is highly scalable and efficient, the level of isolation provided by OpenFaaS may not be as strong as that of Firecracker.
  2. Resource Utilization and Scalability:

    • AWS Firecracker: Firecracker is designed to be lightweight and efficient, enabling it to launch new microVMs in fractions of a second. This allows for highly efficient resource utilization and enables scalability on-demand.
    • OpenFaaS: OpenFaaS operates on containers, which are heavier and require more resources compared to microVMs. While it can still scale effectively, the resource utilization may not be as optimized as Firecracker due to the inherent overhead of containerization.
  3. Startup Time and Cold Starts:

    • AWS Firecracker: With its lightweight architecture, Firecracker enables fast startup times, making it suitable for applications requiring quick responses and lower cold start latency.
    • OpenFaaS: Due to the heavier nature of containers, startup times and cold starts for functions in OpenFaaS may be slower compared to Firecracker. This can impact the responsiveness and performance of time-sensitive applications.
  4. Platform Flexibility:

    • AWS Firecracker: Firecracker focuses solely on providing lightweight virtualization for executing microVMs. It offers a minimalistic approach, which enables flexibility in terms of integrating with other technologies or services.
    • OpenFaaS: OpenFaaS is a full-fledged FaaS platform that provides a richer set of features and functionalities beyond just running functions. It offers a broader ecosystem and tooling support, making it more suitable for complex application architectures.
  5. Ecosystem and Community Support:

    • AWS Firecracker: Firecracker is developed and maintained by Amazon Web Services (AWS), which ensures strong support from AWS-specific services and resources. However, the community support and ecosystem around Firecracker might be relatively narrower compared to open-source projects.
    • OpenFaaS: OpenFaaS is an open-source project with a vibrant community and active development, which results in a broader ecosystem and extensive community support. This can be beneficial when seeking help, integrating with other technologies, or finding plugins/extensions.

In Summary, AWS Firecracker focuses on lightweight virtualization with high performance and strong isolation, while OpenFaaS is a feature-rich FaaS platform operating on containers. Firecracker provides better resource utilization, faster startup times, and more flexibility, although with potentially narrower ecosystem support. OpenFaaS offers a broader ecosystem, community support, and a deeper feature set, but at the cost of slightly lower performance and resource efficiency.

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Detailed Comparison

OpenFaaS
OpenFaaS
AWS Firecracker
AWS Firecracker

Serverless Functions Made Simple for Docker and Kubernetes

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.

Statistics
GitHub Stars
26.0K
GitHub Stars
31.0K
GitHub Forks
2.0K
GitHub Forks
2.1K
Stacks
54
Stacks
6
Followers
234
Followers
34
Votes
17
Votes
0
Pros & Cons
Pros
  • 5
    Open source
  • 4
    Ease
  • 3
    Autoscaling
  • 2
    Documentation
  • 2
    Community
No community feedback yet
Integrations
Kubernetes
Kubernetes
Docker
Docker
No integrations available

What are some alternatives to OpenFaaS, AWS Firecracker?

AWS Lambda

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.

Azure Functions

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.

Google Cloud Run

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.

Serverless

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.

Google Cloud Functions

Google Cloud Functions

Construct applications from bite-sized business logic billed to the nearest 100 milliseconds, only while your code is running

Knative

Knative

Knative provides a set of middleware components that are essential to build modern, source-centric, and container-based applications that can run anywhere: on premises, in the cloud, or even in a third-party data center

Nuclio

Nuclio

nuclio is portable across IoT devices, laptops, on-premises datacenters and cloud deployments, eliminating cloud lock-ins and enabling hybrid solutions.

Apache OpenWhisk

Apache OpenWhisk

OpenWhisk is an open source serverless platform. It is enterprise grade and accessible to all developers thanks to its superior programming model and tooling. It powers IBM Cloud Functions, Adobe I/O Runtime, Naver, Nimbella among others.

Cloud Functions for Firebase

Cloud Functions for Firebase

Cloud Functions for Firebase lets you create functions that are triggered by Firebase products, such as changes to data in the Realtime Database, uploads to Cloud Storage, new user sign ups via Authentication, and conversion events in Analytics.

AWS Batch

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.

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