Google Cloud Functions Reviews and details

Social recommendations and mentions

• Increasing Your Cloud Function Development Velocity Using Dynamically Loading Python Classes

  One of the issues developers can encounter when developing in Cloud Functions is the time taken to deploy changes. You can help reduce this time by dynamically loading some of your Python classes. This allows you to make iterative changes to just the area of your application that you’re working on. - Source: dev.to / 5 months ago

• Need some advice on API key storage

  I've been looking at Google Secret Manager which sounds promising but I've not been able to find any examples or tutorials that help with the actual practical details of best practice or getting this working. I'm currently reading about Cloud Functions which also sound promising but again, I'm just going deeper and deeper into GCP without feeling like I'm gaining any useful insights. Source: 6 months ago

• Golden Ticket To Explore Google Cloud

  Serverless computing was also introduced, where the developers focus on their code instead of server configuration.Google offers serverless technologies that include Cloud Functions and Cloud Run.Cloud Functions manages event-driven code and offers a pay-as-you-go service, while Cloud Run allows clients to deploy their containerized microservice applications in a managed environment. - Source: dev.to / 9 months ago

• Isolate a resource intensive task (in C++) from a Django Web app and restructure a web app

  Lambda is made for your use case :). It doesn’t have to be AWS there are plenty of other serverless computing services like: - Google cloud functions - Azure functions Etc. Source: 11 months ago

• Need Guidance

  Once you have some basic familiarity with programming, try deploying one of your Python programs to the cloud. Start with Cloud Functions, because that doesn't require any knowledge of Linux server administration. Source: 11 months ago

• Read only API on Historical Data

  If the customer prefers making REST-like calls: Deploy a simple Cloud Function that the customer would invoke by making a regular HTTP call with some parameters. The Cloud Function would validate the customer's credentials, and then send a query to BigQuery using one of the client libraries. You can write Cloud Functions in Node.js, Python, Go, Java, C#, Ruby, or PHP. You are only charged when the function runs. Source: 11 months ago

• Moving my Android app to Google cloud

  I propose starting with Cloud Functions. You can use your Python experience, you can do rapid prototyping by writing your code in a text-box in the Google Cloud Console, and there will be no server setup or maintenance. Source: about 1 year ago

• Moving my Android app to Google cloud

  Google Cloud Platform - Pros: can use Python; Cons: App is already heavily integrated with Firebase and not sure I can easily switch to pure Google Cloud. Source: about 1 year ago

• Serverless Compute

  AWS Lambda If you're in Azure, your equivalent service is Azure Functions. For Google, this is Google Functions (yes, AWS just HAD to be different). Regardless of its name, all of these services fulfill the same purpose - a small compute building block to house your business logic code. An AWS Lambda function is simply the code you want to run, written in your language of choice (I preference Python, but... - Source: dev.to / about 1 year ago

• Tutorial HTTP Endpoints with GCP Function (2nd Gen) and Go

  Cloud Functions provide a lightweight execution environment for code in various languages. They are the serverless compute solutions in Google Cloud Platform (GCP) that is similar to AWS Lambda functions in AWS. - Source: dev.to / about 1 year ago

• Effortlessly Scale Your Applications with FaaS: Learn How Functions as a Service Can Help You Grow and Thrive

  In conclusion, Functions as a Service is a cloud computing model that allows developers to build and deploy small pieces of code without the need to worry about the underlying infrastructure. It is a lightweight and flexible option that can save time and money, and it can automatically scale up or down based on the demand for the function. AWS Lambda, Google Cloud Functions, and Cloudflare Workers are some of the... - Source: dev.to / over 1 year ago

• Streamline Your Serverless Development with These Top 10 Powerhouse Tools

  Google Cloud Functions is a serverless computing platform from Google that lets you build, deploy, and run your code in response to events. It's a great way to build event-driven applications that scale on demand, and it's a must-know tool for any serverless developer. - Source: dev.to / over 1 year ago

• Looking for guidance (container management)

  What are you trying to achieve out of this, even though it's for fun? Running this all in a single node k8s cluster would be simply overkill in my opinion, but if it's for learning purposes go for it. There's also ECS for AWS if you're looking to use AWS, Heroku Dynos, Cloud functions in Google Cloud, to name a few! Source: over 1 year ago

• Web Application Deployment on AWS

  Serverless solutions (e.g., AWS Lambda Functions, Microsoft Azure Functions, Google Functions), mainly designed by cloud providers not long ago, are also becoming greatly popular nowadays. Despite the name, serverless architectures are not really without servers. Rather, solution providers went deeper into the virtualization, removing the need the focus on anything but writing the application code. The code is... - Source: dev.to / over 1 year ago

• All You Need to Know About Serverless Functions and the Edge

  Google Cloud Functions is Google’s serverless environment. It supports programming languages like JavaScript, Python, and Go. - Source: dev.to / over 1 year ago

• Coding My Way Into The Magic Kingdom

  Google Cloud Functions - Used to run our code on a schedule. - Source: dev.to / over 1 year ago

• Can you keep a running tally

  Since your app needs to run continuously this might be a job for Cloud Functions: https://cloud.google.com/functions. Source: over 1 year ago

• Building event-driven API services using CQRS, API Gateway and Serverless

  There are many FaaS providers in the market and each platform has unique scenarios in which it shines. The largest cloud companies (AWS, Azure, Google) provide solutions (AWS Lambda, Azure Functions, and Google Cloud Function respectively) that are meant to fit nearly every situation with generic cloud products. - Source: dev.to / over 1 year ago

• Please help - I ran into a problem while deploying to GCP. Probably useful for others too switching from Heroku.

  If you want to use Google, you probably want to look at Cloud functions. Source: over 1 year ago

• How is serverless computing going to change the cloud landscape?

  Although many people still associate serverless computing with AWS Lambda, there are other services that also allow you to build applications without thinking about servers: Google Cloud Functions and Azure Functions both offer similar functionality. - Source: dev.to / over 1 year ago

• NSLookup (or domain name resolution) in BQ?

  You'll probably need to set up a Cloud Function (or other HTTP endpoint) to perform the lookups, and then call it from BigQuery via Remote Functions. Source: almost 2 years ago