CapRover VS Google Cloud Functions

CapRover Reviews

Google Cloud Functions Reviews

CapRover mentions (105)

• Open-source alternative to Heroku, Vercel, and Netlify

  Would be great to see a comparison to some better known alternatives like - Dokku [0] - CapRover [1] [0] https://dokku.com/ [1] https://caprover.com/. - Source: Hacker News / about 18 hours ago

• Netlify just sent me a $104K bill for a simple static site

  Yeah there are a bunch of selfhostable things: Caprover (https://caprover.com/) Dokku (https://github.com/dokku/dokku. - Source: Hacker News / 2 months ago

• The 2024 Web Hosting Report

  The modern iteration of these tools has taken the developer experience learnings from the Platform as a Service (PaaS) category, and will bring them to your own VM, giving you your own personal PaaS. Example of this include Dokku, Coolify, Caprover, Cloud66 and many more! - Source: dev.to / 2 months ago

• Building a privacy-friendly, self-hosted application architecture with SvelteKit

  For hosting all of the services I am using CapRover. It's a wonderfully simple PaaS (platform-as-a-service) that gives you a Heroku-like interface but runs entirely on a Virtual Private Server you control. For automated deploys, GitHub Actions are used. I've recorded a tutorial on how to get started with and deploy SvelteKit onto this architecture, so do check it out if this sounds interesting to you by clicking... - Source: dev.to / 10 months ago

• Top 8 Tools to Build Your Own PaaS

  CapRover, a popular open-source PaaS solution, emerged in 2017. Developed using TypeScript, CapRover boasts a user-friendly interface that demands just a few commands to kickstart your journey. Leveraging the power of Docker, CapRover supports the deployment of a wide range of applications with minimal overhead. While CapRover's ease of use sets it apart, its standout feature lies in the built-in marketplace... - Source: dev.to / 10 months ago

Google Cloud Functions mentions (41)

• 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