Google Cloud Functions VS Amazon ECS

Google Cloud Functions Reviews

Amazon ECS Reviews

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: 7 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

Amazon ECS mentions (46)

• Hosting an Angular application in a Docker container on Amazon EC2 deployed by Amazon ECS

  In this article, a WEB application using the latest version of Angular in a built Docker image will be hosted on Amazon EC2 (Elastic Compute Cloud) and deployed by Amazon ECS (Elastic Container Service) using an Amazon ECR (Elastic Container Registry) containers repository. - Source: dev.to / 2 months ago

• Serverless Data Processor using AWS Lambda, Step Functions and Fargate on ECS (with Rust 🦀🦀)

  You can use this in a couple of ways on AWS including with the Elastic Container Service (ECS) https://aws.amazon.com/ecs/ or within an Elastic Kuberneters Service (EKS) cluster. When used with EKS you will need to have an always on EKS control plane which will cost you money. - Source: dev.to / 3 months ago

• Fun with Avatars: Containerize the app for deployment & distribution | Part. 2

  Container Orchestration tools: These are used to automate the deployment, scaling, monitoring, and management of containerized applications. These tools simplify the complexities of managing and coordinating containers across a cluster of machines. They include Kubernetes, Docker Swarm, Amazon ECS, Microsoft AKS, Google Kubernetes Engine (GKE), etc. - Source: dev.to / 4 months ago

• ECS vs Kubernetes: A Complete Comparison

  Amazon Elastic Container Service (ECS) is a fully managed container orchestration service that helps you to deploy, manage, and scale containerized applications. ECS provides a simple way to run Docker containers on AWS, without the need to set up and manage your own container infrastructure. - Source: dev.to / 5 months ago

• Building and Deploying a Minimal API on AWS ECS/Fargate using Terraform

  After the image has been uploaded to the created ECR repository, the terraform script which will be used to deploy the container on Amazon Elastic Container service Amazon ECS is then created. - Source: dev.to / 10 months ago