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Light Cloud deploys your whole app from a GitHub repo. You connect the repository once, then every push builds and deploys by itself. No CI to set up, and you don't need a Dockerfile.
Static sites and single-page apps go out over a global CDN. That covers React, Vue, Angular, Svelte and Next.js static export.
Backends run as containers that scale with traffic. Node with Express, Fastify or NestJS. Python with FastAPI, Flask or Django. Also Go, Java, Ruby, PHP, .NET, and Next.js in SSR mode.
If your app needs data, add managed PostgreSQL in the same project. Connection details land in your environment variables, so the backend reaches it without extra setup.
We work out the framework from your repo. If you already have a Dockerfile, we use yours.
Connect a branch and it gets its own URL, built on every push. Delete the branch and the environment goes with it, so old previews don't pile up.
Point a domain at any app or environment. Add one DNS record at your registrar and the certificate is issued and renewed after that.
Build logs stream while the build runs. Runtime logs and metrics stay with the environment they belong to.
Every deploy keeps its commit, author, duration and build log. Redeploy an older one to roll back.
You can also skip the dashboard. Add our MCP server to Claude and ask it to create an app, deploy it, or show you why the last deploy failed. Same thing works in VS Code with GitHub Copilot.
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Light Cloud's answer:
Your whole app is in one place:
One console, one bill. Nothing to connect, nothing to keep in sync.
And it's quick to set up. You connect a GitHub repo, we work out how to build it, and every push after that goes live on its own. No Dockerfile. No CI pipeline. No certificate to install.
Most tools do one part and leave you the rest. This does all of it.
Light Cloud's answer:
You need one tool instead of four, and it takes minutes instead of a week.
Here it's one signup and one push. Frontend, backend, Postgres, domains with SSL, logs and deploy history, all set up together, all on one invoice. Apps stop billing when they go idle, so you can keep six projects alive for almost nothing.
Light Cloud's answer:
Light Cloud's answer:
I spent over ten years building and running cloud infrastructure on AWS, GCP and Azure, mostly for other people. The pattern never changed. Every project meant putting the same pieces together again, from different vendors. And everyone I worked with could write the app but couldn't get it online on their own.
None of that was ever about the app. It was containers, certificates, DNS and a database. The same setup work every time, and it still eats most of the first week on a new project.
So I built the version where it's all in one place and takes a few clicks. It's still just me writing the code.
You could say a lot of things about AWS, but among the cloud platforms (and I've used quite a few) AWS takes the cake. It is logically structured, you can get through its documentation relatively easily, you have a great variety of tools and services to choose from [from AWS itself and from third-party developers in their marketplace]. There is a learning curve, there is quite a lot of it, but it is still way easier than some other platforms. I've used and abused AWS and EC2 specifically and for me it is the best.
Based on our record, Amazon AWS seems to be more popular. It has been mentiond 486 times since March 2021. 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.
In conclusion, Cloudflare Workers and AWS Lambda are two popular edge computing solutions that offer a range of benefits, including reduced latency, improved performance, and enhanced security. By understanding the key differences between these solutions, businesses can make informed decisions about which one to use. Whether you're building a real-time analytics application or a serverless API, Cloudflare Workers... - Source: dev.to / 8 days ago
> but it's still a singleton instance, so where do you run it? Most hardware doesn't give you enough uptime for what you need here, because what you actually needed was a re-architecture for distribution / failover / whatever, and while you could ask your LLM to do that you aren't going to run your bank on the result. If only we had a way to solve these issues with tools capable of running Rust programs in that... - Source: Hacker News / about 1 month ago
Not because infrastructure isn't important. It is. Not because Amazon Web Services (AWS) is a bad platform. It isn't. - Source: dev.to / about 2 months ago
The AWS S3 documentation covers all of these in detail. The configuration takes about an hour to get right the first time and rarely needs changes after. - Source: dev.to / 2 months ago
The first pattern is direct-to-storage. The client uploads chunks directly to an object storage service like Amazon S3 using pre-signed URLs. The application server creates the upload session and grants permission but never sees the file bytes. This pattern scales well because the application servers do not handle the upload bandwidth. - Source: dev.to / 2 months ago
Google Cloud Platform - Google Cloud provides flexible infrastructure, end-to-security, modern productivity, and intelligent insights engineered to help your business thrive.
Vercel - Vercel is the platform for frontend developers, providing the speed and reliability innovators need to create at the moment of inspiration.
Microsoft Azure - Windows Azure and SQL Azure enable you to build, host and scale applications in Microsoft datacenters.
Render UIKit - React-inspired Swift library for writing UIKit UIs
DigitalOcean - Simplifying cloud hosting. Deploy an SSD cloud server in 55 seconds.
replit - Code, create, andlearn together. Use our free, collaborative, in-browser IDE to code in 50+ languages โ without spending a second on setup.
