Google Cloud Functions VS Coolify

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 / 7 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: 7 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

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: 12 months ago

Solutions like pocketbase and coolify come close to solving these problems. However, I wouldn't choose either as I fear architecture lock-in as much as vendor lock-in. Especially in the case of pocketbase, I may be forced to rewrite my application if it were to scale overnight. - Source: dev.to / 9 days ago

This is my first quick try deploying SvelteKit with the open source software Coolify by Andras Bacsai. - Source: dev.to / 24 days ago

With a serverful approach, you can avoid these drawbacks, and the main challenge lies in selecting the platform that aligns with your requirements. Options may include AWS, Render, DigitalOcean, and others. While VPS is also an option, it's generally not recommended due to the significant setup and maintenance overhead involved (logging, monitoring, CI/CD pipelines, etc.). However, you can make your life easier by... - Source: dev.to / about 1 month ago

Heroku and similar providers can simplify the server management issues, but you can use something much better that can combine both cost efficiency and ease of deployment—Coolify:. - Source: dev.to / about 2 months ago

> VPSs being “easy to manage” is a strong option full of assumptions. There are definitely many footguns with managing a VPS but I think the threshold to get vaguely competent with a VPS is not really that far off with getting familiar with the average cloud platform - which comes with its own dangers, like the near-total inability to put an upward cap on fees that that person found out with Netlify recently.... - Source: Hacker News / 3 months ago