Cloudflare Workers vs Google Cloud Run

Overview

Cloudflare Workers

Stacks171

Followers116

Votes0

Google Cloud Run

Stacks291

Followers243

Votes62

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

Introduction

Cloudflare Workers and Google Cloud Run are two popular serverless computing platforms that offer different features and functionalities for developers. While both platforms provide the ability to deploy and run applications without worrying about underlying infrastructure, there are some key differences between them.

Cloudflare Workers: Cloudflare Workers is a serverless platform provided by Cloudflare. It allows developers to write and deploy JavaScript code that runs on the Cloudflare network. One key difference of Cloudflare Workers is its global presence. Cloudflare has data centers all over the world, allowing your code to execute closer to your users, resulting in lower latency and faster response times.
Google Cloud Run: Google Cloud Run is a fully managed compute platform that automatically scales your containerized applications. It enables developers to run stateless HTTP-driven containers on a fully managed environment. A major difference of Google Cloud Run is its compatibility with Docker containers. You can use any container that can run in a Docker container, making it highly versatile and flexible.
Scaling: Cloudflare Workers provides automatic scaling based on incoming traffic. It has the ability to scale to handle millions of simultaneous connections. On the other hand, Google Cloud Run also provides automatic scaling, but it scales based on CPU and memory utilization rather than incoming traffic. This means that Cloudflare Workers may be more suitable for handling bursty traffic while Google Cloud Run may be more suited for applications with steady and predictable traffic patterns.
Pricing model: Cloudflare Workers offers a pay-as-you-go pricing model based on the number of requests processed and the duration of execution. It also offers a free tier with limited requests and execution time. Google Cloud Run, on the other hand, offers a pricing model based on the number of requests, CPU and memory utilized, and the duration of execution. The pricing of both platforms can vary depending on the specific usage patterns and requirements of your application.
Integration with other services: Cloudflare Workers integrates seamlessly with other Cloudflare services such as CDN, DDoS protection, and serverless database. This allows you to build robust and secure applications without the need for additional third-party services. Google Cloud Run integrates with other Google Cloud services such as Cloud Pub/Sub, Cloud Storage, and Cloud Firestore. This provides you with a wide range of additional services and components that can enhance the functionality of your applications.
Development workflow: Cloudflare Workers offers a simple and streamlined development workflow. You can develop and test your code locally using the Cloudflare Workers CLI and deploy your code with a single command. Google Cloud Run provides a more comprehensive development workflow with support for popular tools and frameworks, such as Cloud Build, Container Registry, and Kubernetes. This makes it easier to build and deploy complex applications with multiple components and dependencies.

In Summary, Cloudflare Workers and Google Cloud Run are both powerful serverless computing platforms but differ in terms of global presence, container compatibility, scaling, pricing model, integration with other services, and development workflow.

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CLI (Node.js)

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Advice on Cloudflare Workers, Google Cloud Run

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

Cloudflare Workers	Google Cloud Run
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.	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.
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	Simple developer experience; Fast autoscaling; Managed; Any language, any library, any binary; Leverage container workflows and standards; Redundancy; Integrated logging and monitoring; Built on Knative; Custom domains
Statistics
Stacks 171	Stacks 291
Followers 116	Followers 243
Votes 0	Votes 62
Pros & Cons
No community feedback yet	Pros 11 HTTPS endpoints 10 Pay per use 10 Fully managed 7 Concurrency: multiple requests sent to each container 7 Serverless
Integrations
Lerna Rust C++ JavaScript	Google Kubernetes Engine Google Cloud Build Docker Knative

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

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.

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

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

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 Run: What are the differences?

Introduction

Cloudflare Workers: Cloudflare Workers is a serverless platform provided by Cloudflare. It allows developers to write and deploy JavaScript code that runs on the Cloudflare network. One key difference of Cloudflare Workers is its global presence. Cloudflare has data centers all over the world, allowing your code to execute closer to your users, resulting in lower latency and faster response times.
Google Cloud Run: Google Cloud Run is a fully managed compute platform that automatically scales your containerized applications. It enables developers to run stateless HTTP-driven containers on a fully managed environment. A major difference of Google Cloud Run is its compatibility with Docker containers. You can use any container that can run in a Docker container, making it highly versatile and flexible.
Scaling: Cloudflare Workers provides automatic scaling based on incoming traffic. It has the ability to scale to handle millions of simultaneous connections. On the other hand, Google Cloud Run also provides automatic scaling, but it scales based on CPU and memory utilization rather than incoming traffic. This means that Cloudflare Workers may be more suitable for handling bursty traffic while Google Cloud Run may be more suited for applications with steady and predictable traffic patterns.
Pricing model: Cloudflare Workers offers a pay-as-you-go pricing model based on the number of requests processed and the duration of execution. It also offers a free tier with limited requests and execution time. Google Cloud Run, on the other hand, offers a pricing model based on the number of requests, CPU and memory utilized, and the duration of execution. The pricing of both platforms can vary depending on the specific usage patterns and requirements of your application.
Integration with other services: Cloudflare Workers integrates seamlessly with other Cloudflare services such as CDN, DDoS protection, and serverless database. This allows you to build robust and secure applications without the need for additional third-party services. Google Cloud Run integrates with other Google Cloud services such as Cloud Pub/Sub, Cloud Storage, and Cloud Firestore. This provides you with a wide range of additional services and components that can enhance the functionality of your applications.
Development workflow: Cloudflare Workers offers a simple and streamlined development workflow. You can develop and test your code locally using the Cloudflare Workers CLI and deploy your code with a single command. Google Cloud Run provides a more comprehensive development workflow with support for popular tools and frameworks, such as Cloud Build, Container Registry, and Kubernetes. This makes it easier to build and deploy complex applications with multiple components and dependencies.

Cloudflare Workers vs Google Cloud Run

Overview