Amazon Elastic File System (EFS) provides a simple, scalable, and fully managed Network File System for use with AWS Cloud services and on-premises resources. This guide will walk you through the process of creating an EFS, mounting it on an Ubuntu instance, and adding files to it. - Source: dev.to / 8 days ago

AWS EFS is a managed shared storage solution in the cloud that is compatible with NFS. In our three-tier architecture, it sits in the data layer and provides shared storage for the application tier servers. - Source: dev.to / 12 months ago

But that didn't work quite so well. Between some issues with the packages, and the amount of time it took to unzip... It just wasn't worth it. So I refactored back into using EFS to host the packages and model files. - Source: dev.to / about 1 year ago

AWS EFS is a fully managed, highly scalable shared storage solution in the cloud. It is NFS compatible. This Elastic filesystem will provide shared storage for all our application tier servers. Since it provides storage, EFS sits in the data layer of the three tier architecture. - Source: dev.to / about 1 year ago

Amazon Elastic File System (EFS) is a managed Network File System (NFS) designed for Linux-based EC2 instances, selected AWS managed services, and on-premise servers. There’s a similar storage system for Windows hosts called the Amazon FSx for Windows File Server. FSx uses the Server Message Block (SMB) protocol while EFS uses NFS. - Source: dev.to / 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 / about 1 month 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 / about 2 months 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 / 7 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 / 11 months ago