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

AWS Firecracker vs Fission

OverviewComparisonAlternatives

Overview

Fission
Fission
Stacks27
Followers81
Votes3
GitHub Stars8.8K
Forks788
AWS Firecracker
AWS Firecracker
Stacks6
Followers34
Votes0
GitHub Stars31.0K
Forks2.1K

AWS Firecracker vs Fission: What are the differences?

Introduction

In the realm of serverless computing, AWS Firecracker and Fission are two popular choices. Both offer unique features and functionalities that cater to different use cases. Below are the key differences between AWS Firecracker and Fission.

  1. Architecture: AWS Firecracker is a virtualization technology that utilizes the KVM hypervisor to create lightweight microVMs for running serverless workloads. On the other hand, Fission is a serverless platform built on top of Kubernetes, providing a container-based approach to executing functions.

  2. Scalability: AWS Firecracker is designed for high performance and scalability, capable of launching thousands of microVMs within seconds to handle bursty workloads efficiently. In contrast, Fission offers auto-scaling capabilities based on resource utilization metrics, allowing for dynamic scaling of function instances as needed.

  3. Programming Language Support: Fission supports multiple programming languages such as Node.js, Python, Go, and Java for writing serverless functions, providing developers with flexibility in choosing the language that best suits their applications. In comparison, AWS Firecracker is language-agnostic and can run any workload that can be containerized.

  4. Management Overhead: AWS Firecracker abstracts away the complexities of managing virtual machines by providing a lightweight and secure environment for running serverless workloads. Conversely, Fission requires the underlying Kubernetes cluster to be maintained, leading to additional management overhead in terms of monitoring, scaling, and updating the platform.

  5. Integration with AWS Services: As an AWS native service, Firecracker seamlessly integrates with other AWS services such as AWS Lambda, API Gateway, and CloudWatch, making it easier for users to build serverless applications within the AWS ecosystem. Fission, while offering integrations with various cloud providers, may require additional configuration and setup to work seamlessly with AWS services.

Summary

In summary, while both AWS Firecracker and Fission cater to the serverless computing space, they differ in their architecture, scalability, programming language support, management overhead, and integration with AWS services. Each platform offers unique strengths and limitations, allowing users to choose the one that best aligns with their specific requirements.

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Detailed Comparison

Fission
Fission
AWS Firecracker
AWS Firecracker

Write short-lived functions in any language, and map them to HTTP requests (or other event triggers). Deploy functions instantly with one command. There are no containers to build, and no Docker registries to manage.

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
8.8K
GitHub Stars
31.0K
GitHub Forks
788
GitHub Forks
2.1K
Stacks
27
Stacks
6
Followers
81
Followers
34
Votes
3
Votes
0
Pros & Cons
Pros
  • 1
    Open source
  • 1
    Portability
  • 1
    Any language
No community feedback yet
Integrations
Kubernetes
Kubernetes
Docker
Docker
No integrations available

What are some alternatives to Fission, 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

OpenFaaS

OpenFaaS

Serverless Functions Made Simple for Docker and Kubernetes

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.

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