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Google Cloud Functions

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OpenFaaS

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Google Cloud Functions vs OpenFaaS: What are the differences?

Google Cloud Functions and OpenFaaS are two popular serverless computing platforms that offer a range of features and functionalities for developing and deploying event-driven applications. While both platforms have their strengths and use cases, there are several key differences between them.

  1. Pricing Model: Google Cloud Functions follows a pay-as-you-go pricing model, where users are billed based on the number of function invocations and the time it takes to execute those functions. On the other hand, OpenFaaS is an open-source platform that can be deployed on any infrastructure, allowing users to have more control over the cost aspects by choosing their own hosting provider.

  2. Integration with Ecosystem: Google Cloud Functions is tightly integrated with Google Cloud Platform's ecosystem, providing seamless access to various managed services like Cloud Pub/Sub, Cloud Storage, and BigQuery. OpenFaaS, being an open-source solution, offers a wider range of integrations with different cloud providers and third-party services, allowing users to have more flexibility in their application architecture.

  3. Scaling and Auto-scaling: Google Cloud Functions automatically scales the number of instances based on incoming request volume, ensuring high availability and efficient resource utilization. OpenFaaS also supports scaling, but it requires additional configuration and setup to implement auto-scaling based on metrics like CPU usage or request rate.

  4. Deployment Options: Google Cloud Functions provides a fully managed serverless experience, where users can focus on writing the code without having to worry about the underlying infrastructure. OpenFaaS, being an open-source solution, can be deployed on any infrastructure, whether it's on-premises or in the cloud, giving users more control and flexibility over their deployment choices.

  5. Community Support and Development: Google Cloud Functions is backed by Google, which has a large community of developers and extensive documentation and support resources. OpenFaaS, being an open-source project, has an active and growing community that contributes to its development and provides support through various forums and channels.

  6. Language and Runtime Support: Google Cloud Functions supports a limited number of programming languages and runtime environments, including Node.js, Python, Java, and Go. OpenFaaS, being an open-source platform, has support for a wider range of programming languages and runtime environments, allowing users to choose the technology stack that best suits their application requirements.

In Summary, Google Cloud Functions and OpenFaaS differ in their pricing model, integration with the ecosystem, scaling capabilities, deployment options, community support, and language/runtime support.

Decisions about Google Cloud Functions and OpenFaaS
Clifford Crerar
Software Engineer at Bidvest Advisory Services · | 9 upvotes · 66.4K views

Run cloud service containers instead of cloud-native services

  • Running containers means that your microservices are not "cooked" into a cloud provider's architecture.
  • Moving from one cloud to the next means that you simply spin up new instances of your containers in the new cloud using that cloud's container service.
  • Start redirecting your traffic to the new resources.
  • Turn off the containers in the cloud you migrated from.
See more
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Pros of Google Cloud Functions
Pros of OpenFaaS
  • 7
    Serverless Applications
  • 5
    Its not AWS
  • 4
    Simplicity
  • 3
    Free Tiers and Trainging
  • 2
    Simple config with GitLab CI/CD
  • 1
    Built-in Webhook trigger
  • 1
    Typescript Support
  • 1
    Blaze, pay as you go
  • 1
    Customer Support
  • 5
    Open source
  • 4
    Ease
  • 3
    Autoscaling
  • 2
    Community
  • 2
    Documentation
  • 1
    Async

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Cons of Google Cloud Functions
Cons of OpenFaaS
  • 1
    Node.js only
  • 0
    Typescript Support
  • 0
    Blaze, pay as you go
    Be the first to leave a con

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    - No public GitHub repository available -

    What is Google Cloud Functions?

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

    What is OpenFaaS?

    Serverless Functions Made Simple for Docker and Kubernetes

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    What companies use Google Cloud Functions?
    What companies use OpenFaaS?
    See which teams inside your own company are using Google Cloud Functions or OpenFaaS.
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    What tools integrate with Google Cloud Functions?
    What tools integrate with OpenFaaS?

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    What are some alternatives to Google Cloud Functions and OpenFaaS?
    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 App Engine
    Google has a reputation for highly reliable, high performance infrastructure. With App Engine you can take advantage of the 10 years of knowledge Google has in running massively scalable, performance driven systems. App Engine applications are easy to build, easy to maintain, and easy to scale as your traffic and data storage needs grow.
    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.
    Firebase
    Firebase is a cloud service designed to power real-time, collaborative applications. Simply add the Firebase library to your application to gain access to a shared data structure; any changes you make to that data are automatically synchronized with the Firebase cloud and with other clients within milliseconds.
    Heroku
    Heroku is a cloud application platform – a new way of building and deploying web apps. Heroku lets app developers spend 100% of their time on their application code, not managing servers, deployment, ongoing operations, or scaling.
    See all alternatives