Google Cloud Functions is a lightweight compute solution for developers to create single-purpose, stand-alone functions that respond to Cloud events without the need to manage a server or runtime environment.
Welcome back to another episode of Cloud Functions for Firebase. In the last episode, Doug showed you how global memory and temp disk space was retained between function invocations on the same server instance. In this episode, you will learn how to safely code for your functions that will run in parallel on multiple instances. Check out the resource below to find out more information, and subscribe to the Firebase channel for more app development tutorials!
Cloud Functions Execution Environment docs → http://bit.ly/2XghRWu
Retry asynchronous functions → http://bit.ly/2tGtZCh
Modifying function configuration → http://bit.ly/2H5L2GS
Python runtime → http://bit.ly/2TEW1g4
Google Cloud regions → http://bit.ly/2Hmp5m0
Cloud Functions for Firebase lets you run your backend code that automatically responds to events triggered by Firebase features and HTTPS requests. The code is stored in Google’s cloud, and runs in a managed environment. No need to manage and scale your own servers.
In this Firebase Cloud Functions tutorial, you'll learn how to build a Slack App 💬 with Node.js & Firebase Cloud Functions. A guide to serverless Slack Apps with Firebase Cloud Functions & Firestore. CyberJeff is a simple slack bot that helps automate tasks and improve productivity. Slack Apps, or Bots, allow you to extend slack with interactive features that can improve your teams productivity. The following lesson is a step-by-step guide to building a Slack App using Firebase Cloud Functions as the backend server.
In this Firebase tutorial, we create a Cloud Function that can be called directly through a REST call. Then we set up our emulators so that we can run local instances of Cloud Functions and Cloud Firestore, and have them talk to each other