Azure Functions vs. Cloudflare Workers vs. Google Cloud Functions

They're great to embed logic and code in a medium-small, cloud-native application, but they can become quite limiting for complex, enterprise applications.

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There I want to mention three areas where Cloudflare Workers is well suited.1. Its bulk URL redirection is extremely beneficial.2. Its email service optimization helps a lot every business or organization that receives a huge number of emails.3. Its edge caching assists website owners in dynamic content caching.

It is easy to use, in 15 minutes you just have to follow a few steps, do some easy configurations and you have the project ready to run, once it is connected to the codebase, the execution is automatic. For anyone coming into the google environment, Functions make code execution easy and transparent. CI/CD is perfect

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• They natively integrate with many triggers from other Azure services, like Blob Storage or Event Grid, which is super handy when creating cloud-native applications on Azure (data wrangling pipelines, business process automation, data ingestion for IoT, ...)
• They natively support many common languages and frameworks, which makes them easily approachable by teams with a diverse background
• They are cheap solutions for low-usage or "seasonal" applications that exhibits a recurring usage/non-usage pattern (batch processing, montly reports, ...)

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• Efficient URL Redirection
• Excellent Email Service Optimization
• Real-time Data Processing

• integration with oAuth
• integration with Firebase
• integration with React Frontend

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• My biggest complaint is that they promote a development model that tightly couples the infrastructure with the app logic. This can be fine in many scenarios, but it can take some time to build the right abstractions if you want to decouple you application from this deployment model. This is true at least using .NET functions.
• In some points, they "leak" their abstraction and - from what I understood - they're actually based on the App Service/Web App "WebJob SDK" infrastructure. This makes sense, since they also share some legacy behavior from their ancestor.
• For larger projects, their mixing of logic, code and infrastructure can become difficult to manage. In these situations, good App Services or brand new Container Apps could be a better fit.

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• Limited Built-in Analytics and Monitoring

• Needing a zip file is problematic (when wanting to automate deployment for example).
• Requires another solution to execute automatically (ex. cloud scheduler).

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I give it a rating of 8 out of 10 because the use of this tool has helped us a lot. It enhanced our website performance and scalability. Additionally, it saved a lot of time by using its two features, bulk URL redirection and email service optimization.

Overall Google Cloud Functions is losing a lot of benefits to other GCP services, making it less attractive to users. A simple example would be the need to zip application files and push them to Google Storage which makes it a bit complicated to automate via a CI/CD pipeline. Another "similar" solution would be using Cloud Run although the need for a docker image is there, with the recent evolutions to Cloud Run (ability to downscale to 0) it makes a lot more interesting.

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Documentation is provided and clear for this service. Although GCP support is included in the current contract we didn't get to use it since the process is pretty straightforward.

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This is the most straightforward and easy-to-implement server less solution. App Service is great, but it's designed for websites, and it cannot scale automatically as easily as Azure Functions. Container Apps is a robust and scalable choice, but they need much more planning, development and general work to implement. Container Instances are the same as Container Apps, but they are extremely more limited in termos of capacity. Kubernetes Service si the classic pod container on Azure, but it requires highly skilled professional, and there are not many scenario where it should be used, especially in smaller teams.

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When evaluating, Cloudflare Workers stand out in several key areas. 1. Performance and Latency 2. Cost Efficiency 3. Ease of Use and Developer Options

It is easier to keep everything in house when we are using GCP or AWS. To mix Lambda with google cloud is not a best practice and will cause problems ahead. The segmentation is clear, if you are using google, you use Google Cloud Functions. if you are on Amazon, you use all AWS tools. You can't mix them. The price is set.

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• They allowed me to create solutions with low TCO for the customer, which loves the result and the low price, that helped me create solutions for more clients in less time.
• You can save up to 100% of your compute bill, if you stay under a certain tenant conditions.

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• We have improved load times by using its edge caching feature.
• It also enhances our user experience.

• For training purposes, it is free
• Budgeting makes it cap the use
• monitoring makes it predictable

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