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

Azure Functions vs FaaS

OverviewDecisionsComparisonAlternatives

Overview

Azure Functions
Azure Functions
Stacks785
Followers705
Votes62
FaaS
FaaS
Stacks5
Followers28
Votes1

Azure Functions vs FaaS: What are the differences?

Key Differences between Azure Functions and FaaS

Azure Functions and Function as a Service (FaaS) are both cloud computing services that allow developers to run individual functions in response to specific events. However, there are several key differences between the two:

  1. Deployment Model: Azure Functions is a specific serverless computing platform provided by Microsoft Azure, while FaaS is a general term that refers to the concept of running functions in the cloud. This means that Azure Functions is just one implementation of the FaaS concept, and there are other platforms available as well.

  2. Vendor Lock-in: Azure Functions runs exclusively on Microsoft Azure's cloud platform, which means that if you choose to use Azure Functions, you are tied to Azure as your cloud provider. On the other hand, FaaS is a more generic term and there are multiple providers that offer FaaS services, allowing you to choose the provider that best fits your requirements.

  3. Language Support: Azure Functions supports a wide range of programming languages, including C#, JavaScript, Python, and more. In contrast, FaaS platforms may have different levels of language support, and some providers may only support a limited set of languages. This means that if you have specific language requirements, Azure Functions may be a better choice.

  4. Scalability: Azure Functions allows you to easily scale your functions up or down based on the number of events or the load on your application. It provides automatic scaling capabilities, allowing your functions to handle a high volume of requests without manual intervention. While some FaaS platforms also offer similar scalability features, the level of scalability may vary between providers.

  5. Integration with Other Azure Services: Azure Functions integrates seamlessly with other Azure services, such as Azure Storage, Azure Event Hubs, and more. This provides developers with a wide range of options for building complex applications that leverage the capabilities of different Azure services. FaaS platforms may also offer integrations with other services, but the available options and the level of integration may differ.

  6. Pricing Model: Azure Functions offers a consumption-based pricing model, where you only pay for the resources used when your functions are running. This can be cost-effective for applications with unpredictable or sporadic workloads. FaaS platforms may have different pricing models, which could be based on factors like the number of function invocations, the amount of compute resources consumed, or a combination of both.

In summary, Azure Functions is a specific implementation of the FaaS concept provided by Microsoft Azure. It offers a wide range of language support, integrates well with other Azure services, and has a consumption-based pricing model. However, it also comes with the limitation of being tied to the Azure platform, while FaaS is a more generic term that provides options to choose from various providers.

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Advice on Azure Functions, FaaS

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
FaaS
FaaS

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.

FaaS is a platform for building serverless functions on Docker Swarm Mode with first class metrics. Any UNIX process can be packaged as a function in FaaS enabling you to consume a range of web events without repetitive boiler-plate coding.

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
Stacks
785
Stacks
5
Followers
705
Followers
28
Votes
62
Votes
1
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
    Poor support for Linux environments
  • 1
    Sporadic server & language runtime issues
  • 1
    Not suited for long-running applications
  • 1
    No persistent (writable) file system available
Pros
  • 1
    Simple way to build serverless applications
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#
Docker
Docker
Docker Swarm
Docker Swarm

What are some alternatives to Azure Functions, FaaS?

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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