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  1. Stackups
  2. Application & Data
  3. Serverless
  4. Serverless Task Processing
  5. Azure Functions vs Fission

Azure Functions vs Fission

OverviewDecisionsComparisonAlternatives

Overview

Azure Functions
Azure Functions
Stacks785
Followers705
Votes62
Fission
Fission
Stacks27
Followers81
Votes3
GitHub Stars8.8K
Forks788

Azure Functions vs Fission: What are the differences?

Introduction

Azure Functions and Fission are both serverless computing platforms that allow developers to build and run applications without the need to manage infrastructure. While they share similarities, there are key differences between Azure Functions and Fission that set them apart from each other. In this article, we will explore these differences in detail.

  1. Programming Language Support: Azure Functions supports a wide range of programming languages including C#, JavaScript, Python, PowerShell, and Java, among others, giving developers the flexibility to choose the language they are most comfortable with. On the other hand, Fission currently supports only Node.js and Golang, significantly limiting the language options available to developers.

  2. Scaling Model: Azure Functions automatically scales based on the demand, allowing developers to handle high-traffic scenarios without worrying about infrastructure provisioning. It leverages the Azure platform to provide seamless scaling capabilities. Fission, on the other hand, relies on Kubernetes for scaling. This means that developers using Fission need to set up and manage a Kubernetes cluster for autoscaling to work efficiently.

  3. Supported Cloud Providers: Azure Functions is a cloud computing service offered by Microsoft that is tightly integrated with the Azure ecosystem. It provides a seamless experience for developers who are already using Azure services. Fission, on the other hand, is cloud-agnostic and can be deployed on any cloud provider that supports Kubernetes. This allows developers to have more flexibility in choosing the cloud provider that suits their specific requirements.

  4. Event Triggers: Azure Functions provides a wide range of event triggers such as HTTP, timer, Azure Cosmos DB, Azure Blob storage, and Azure Event Grid, among others. This enables developers to easily build event-driven applications. Fission, on the other hand, primarily supports HTTP triggers. While it is possible to create custom triggers in Fission, the supported triggers out-of-the-box are limited compared to Azure Functions.

  5. Developer Experience: Azure Functions provides a comprehensive development environment with tooling support in popular integrated development environments (IDEs) such as Visual Studio and Visual Studio Code. It also offers rich debugging capabilities, making it easier for developers to write, test, and troubleshoot their functions. Fission, on the other hand, has a more minimalistic approach and relies on a command-line interface (CLI) for development and deployment tasks. While this provides a lightweight and flexible experience, it may lack some of the advanced features provided by Azure Functions.

  6. Pricing Model: Azure Functions offers both a consumption-based pricing model and a dedicated pricing model. With the consumption-based model, developers only pay for the compute resources used during function executions. Fission, on the other hand, follows a purely consumption-based pricing model, which means that developers only pay for the resources consumed by their functions. This can be advantageous for developers with sporadic workloads or who are looking for cost-effective serverless computing options.

In summary, Azure Functions provides a wider range of programming language support, seamless scaling capabilities, tight integration with the Azure ecosystem, extensive event trigger options, comprehensive development environment, and flexible pricing models. Fission, on the other hand, has a more limited language support, requires Kubernetes for efficient scaling, offers cloud-agnostic deployment options, has fewer built-in event trigger options, relies on a CLI for development and deployment, and follows a purely consumption-based pricing model.

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Advice on Azure Functions, Fission

Mark
Mark

Nov 2, 2020

Needs adviceonMicrosoft AzureMicrosoft Azure

Need advice on what platform, systems and tools to use.

Evaluating whether to start a new digital business for which we will need to build a website that handles all traffic. Website only right now. May add smartphone apps later. No desktop app will ever be added. Website to serve various countries and languages. B2B and B2C type customers. Need to handle heavy traffic, be low cost, and scale well.

We are open to either build it on AWS or on Microsoft Azure.

Apologies if I'm leaving out some info. My first post. :) Thanks in advance!

133k views133k
Comments

Detailed Comparison

Azure Functions
Azure Functions
Fission
Fission

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.

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.

Easily schedule event-driven tasks across services;Expose Functions as HTTP API endpoints;Scale Functions based on customer demand;Develop how you want, using a browser-based UI or existing tools;Get continuous deployment, remote debugging, and authentication out of the box
-
Statistics
GitHub Stars
-
GitHub Stars
8.8K
GitHub Forks
-
GitHub Forks
788
Stacks
785
Stacks
27
Followers
705
Followers
81
Votes
62
Votes
3
Pros & Cons
Pros
  • 14
    Pay only when invoked
  • 11
    Great developer experience for C#
  • 9
    Multiple languages supported
  • 7
    Great debugging support
  • 5
    Can be used as lightweight https service
Cons
  • 1
    No persistent (writable) file system available
  • 1
    Poor support for Linux environments
  • 1
    Sporadic server & language runtime issues
  • 1
    Not suited for long-running applications
Pros
  • 1
    Any language
  • 1
    Open source
  • 1
    Portability
Integrations
Azure DevOps
Azure DevOps
Java
Java
Bitbucket
Bitbucket
Node.js
Node.js
Microsoft Azure
Microsoft Azure
GitHub
GitHub
Visual Studio Code
Visual Studio Code
JavaScript
JavaScript
Azure Cosmos DB
Azure Cosmos DB
C#
C#
Kubernetes
Kubernetes
Docker
Docker

What are some alternatives to Azure Functions, Fission?

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.

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.

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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