Fly.io Reviews

Google Cloud Functions Reviews

Fly.io mentions (443)

• Securing Your Next.js with Arcjet on Fly.io with Lightning-Fast Deployment

  Fly.io is a platform that enables developers to deploy and run their applications close to their users. It leverages a global network of servers to provide low-latency, high-performance hosting solutions. It simplifies the deployment process by offering a powerful CLI and automated workflows, making it easy to deploy applications with minimal hassle. Additionally, Fly.io supports various programming languages and... - Source: dev.to / 8 days ago

• Leveraging Wasp for full-stack development

  With the Wasp CLI, you can deploy the React frontend, Node.js backend (server), and PostgreSQL database generated by the Wasp compiler to Fly.io with a single command. - Source: dev.to / 13 days ago

• Show HN: Serverless Postgres

  This is a MVP for Serverless Postgres. 1/ It uses Fly.io[0], which can automatically pause your database after all connections are released (and start it again when new connections join). 2/ It uses Oriole[1], a Postgres extension with experimental support for S3 / Decoupled Storage[2]. 3/ It uses Tigris[3], Globally Distributed S3-Compatible Object Storage. Oriole will automatically backup the data to Tigris... - Source: Hacker News / 18 days ago

• Good alternatives to Heroku

  Fly.io - Very similar to Heroku too, easy to use and support for multiple stacks/languages. - Source: dev.to / 22 days ago

• Efficient Data Management with Prisma, Fly.io, and LiteFS Configuration

  Fly.io is a cloud platform that allows developers to easily deploy scalable applications. In this article, we will introduce how to manage databases effectively in an application using Remix, Prisma, and LiteFS on Fly.io. - Source: dev.to / 25 days ago

Google Cloud Functions mentions (43)

• Is Serverless Architecture Right For You?

  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 / 26 days ago

• A Brief History Of Serverless

  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 / about 1 month ago

• 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 / 7 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: 8 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 / 11 months ago