Cloudflare Workers vs Google Cloud Functions

Overview

Google Cloud Functions

Stacks478

Followers479

Votes25

Cloudflare Workers

Stacks171

Followers116

Votes0

Cloudflare Workers vs Google Cloud Functions: What are the differences?

Introduction

Cloudflare Workers and Google Cloud Functions are both serverless computing platforms that allow developers to run code without the need for managing servers. However, there are several key differences between the two platforms in terms of features, pricing, and integration options.

Integration and Deployment Options: Cloudflare Workers can be easily integrated with Cloudflare's content delivery network (CDN) and can be deployed directly from the Cloudflare dashboard. On the other hand, Google Cloud Functions can be integrated with other Google Cloud services and can be deployed using the Google Cloud Console, the command-line interface, or through code version control systems like Git.
Pricing Structure: Cloudflare Workers offer a pay-as-you-go pricing model, where users only pay for the resources consumed by their applications. In contrast, Google Cloud Functions have a pricing structure based on the number of function invocations, compute time, and network egress, which can be more complex to estimate and manage.
Automatic Scalability: Cloudflare Workers automatically scale up and down based on the incoming request volume, ensuring that applications can handle high traffic loads without manual intervention. Google Cloud Functions also offer automatic scaling capabilities, but it may have some limitations depending on the specific deployment configuration.
Runtime Environment: Cloudflare Workers use V8 Isolate, the same JavaScript runtime engine used in Google Chrome, for executing the serverless functions. This allows developers to leverage modern JavaScript features and libraries. Google Cloud Functions, on the other hand, provide a more flexible runtime environment where developers can choose from multiple languages, including JavaScript, Python, Go, and others.
Networking and Security: Cloudflare Workers are tightly integrated with Cloudflare's global network, allowing developers to take advantage of features like DDoS protection, built-in SSL/TLS termination, and caching. Google Cloud Functions provide network isolation and security features, but they may require additional configurations or services to achieve similar levels of protection and performance.
Vendor Lock-in: Cloudflare Workers are a cloud-agnostic platform, which means that developers can easily migrate their applications to other serverless providers if needed. Google Cloud Functions, on the other hand, are tightly integrated with the Google Cloud ecosystem, which may make it more challenging to migrate to other platforms.

In summary, Cloudflare Workers and Google Cloud Functions offer different integration options, pricing structures, runtime environments, and security features. Cloudflare Workers are more tightly integrated with Cloudflare's network and offer a simple pay-as-you-go pricing model, while Google Cloud Functions provide a flexible runtime environment and integration with other Google Cloud services.

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CLI (Node.js)

Manual

Advice on Google Cloud Functions, Cloudflare Workers

Clifford

Software Engineer at Bidvest Advisory Services

Mar 28, 2020

Decided

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.

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Detailed Comparison

Google Cloud Functions	Cloudflare Workers
Construct applications from bite-sized business logic billed to the nearest 100 milliseconds, only while your code is running	Build serverless applications on Cloudflare's global cloud network of 165 data centers. It provides a lightweight JavaScript execution environment that allows developers to augment existing applications or create entirely new ones without configuring or maintaining infrastructure.
-	Load balance between multiple origins to improve speed or reliability; Render HTML templates while fetching dynamic content from your origin; Dynamically respond to requests without needing to connect to an origin server at all; Generate parallel requests to different services and combine the responses; Create custom security rules and filters to block unwanted visitors and bots; Perform data sanitization and validation before sending a request to your origin; Use custom logic to decide which requests are cacheable and improve cache hit rate; Deploy fast fixes to your site in seconds without having to update your origin server
Statistics
Stacks 478	Stacks 171
Followers 479	Followers 116
Votes 25	Votes 0
Pros & Cons
Pros 7 Serverless Applications 5 Its not AWS 4 Simplicity 3 Free Tiers and Trainging 2 Simple config with GitLab CI/CD Cons 1 Node.js only 0 Typescript Support 0 Blaze, pay as you go	No community feedback yet
Integrations
Firebase Google Cloud Storage Stackdriver	Lerna Rust C++ JavaScript

What are some alternatives to Google Cloud Functions, Cloudflare Workers?

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 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

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

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.

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

Serverless Functions Made Simple for Docker and Kubernetes

Nuclio

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

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 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

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.

Related Comparisons

Cloudflare Workers vs Google Cloud Functions: What are the differences?

Introduction

Integration and Deployment Options: Cloudflare Workers can be easily integrated with Cloudflare's content delivery network (CDN) and can be deployed directly from the Cloudflare dashboard. On the other hand, Google Cloud Functions can be integrated with other Google Cloud services and can be deployed using the Google Cloud Console, the command-line interface, or through code version control systems like Git.
Pricing Structure: Cloudflare Workers offer a pay-as-you-go pricing model, where users only pay for the resources consumed by their applications. In contrast, Google Cloud Functions have a pricing structure based on the number of function invocations, compute time, and network egress, which can be more complex to estimate and manage.
Automatic Scalability: Cloudflare Workers automatically scale up and down based on the incoming request volume, ensuring that applications can handle high traffic loads without manual intervention. Google Cloud Functions also offer automatic scaling capabilities, but it may have some limitations depending on the specific deployment configuration.
Runtime Environment: Cloudflare Workers use V8 Isolate, the same JavaScript runtime engine used in Google Chrome, for executing the serverless functions. This allows developers to leverage modern JavaScript features and libraries. Google Cloud Functions, on the other hand, provide a more flexible runtime environment where developers can choose from multiple languages, including JavaScript, Python, Go, and others.
Networking and Security: Cloudflare Workers are tightly integrated with Cloudflare's global network, allowing developers to take advantage of features like DDoS protection, built-in SSL/TLS termination, and caching. Google Cloud Functions provide network isolation and security features, but they may require additional configurations or services to achieve similar levels of protection and performance.
Vendor Lock-in: Cloudflare Workers are a cloud-agnostic platform, which means that developers can easily migrate their applications to other serverless providers if needed. Google Cloud Functions, on the other hand, are tightly integrated with the Google Cloud ecosystem, which may make it more challenging to migrate to other platforms.

Cloudflare Workers vs Google Cloud Functions

Overview