Based on our record, Google Cloud Functions seems to be a lot more popular than SignalR. While we know about 43 links to Google Cloud Functions, we've tracked only 4 mentions of SignalR. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Blazor Server basically has the server remote control puppet everything on the client through SignalR. Source: 12 months ago
SignalR is a layer over websockets, and is available for python. Source: about 1 year ago
Since Go is a pretty simple game and not very graphic intensive, a simple approach would be to use SignalR on ASP.NET, where the server maintains the game board state and just sends minimal messages (for example, piece X moved to location Y, and whose turn it is now) to each player after their respective move in turn. Source: about 1 year ago
SignalR and Pinia for real-time stat updates in the dashboard UI. Source: about 1 year ago
The first reason is that serverless architectures are inherently scalable and elastic. They automatically scale up or down based on the incoming workload without requiring manual intervention through serverless compute services like AWS Lambda, Azure Functions, or Google Cloud Functions. - Source: dev.to / 17 days ago
The FaaS platform gained a lot of popularity which resulted in many competitors. There was OSS providers like OpenFaaS or Fission. There were of course the commercial versions to like Azure Functions and Google Cloud Functions. - Source: dev.to / 25 days ago
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 / 6 months ago
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: 8 months ago
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 / 10 months ago
Socket.io - Realtime application framework (Node.JS server)
Google App Engine - A powerful platform to build web and mobile apps that scale automatically.
Firebase - Firebase is a cloud service designed to power real-time, collaborative applications for mobile and web.
Salesforce Platform - Salesforce Platform is a comprehensive PaaS solution that paves the way for the developers to test, build, and mitigate the issues in the cloud application before the final deployment.
Pusher - Pusher is a hosted API for quickly, easily and securely adding scalable realtime functionality via WebSockets to web and mobile apps.
AWS Lambda - Automatic, event-driven compute service