Microsoft Azure VS Google Cloud Functions

Microsoft Azure Reviews

Google Cloud Functions Reviews

Microsoft Azure mentions (64)

• How To Create Windows 11 Virtual Machine in Azure

  Before you start, ensure you have an active Azure subscription, if you don't have one, Click here to create a free account. - Source: dev.to / 20 days ago

• The 2024 Web Hosting Report

  A VM is the original “hosting” product of the cloud era. Over the last 20 years, VM providers have come and gone, as have enterprise virtualization solutions such as VMware. Today you can do this somewhere like OVHcloud, Hetzner or DigitalOcean, which took over the “server” market from the early 2000’s. Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft's Azure also offer VMs, at a less... - Source: dev.to / 2 months ago

• Deploying flask app to Kubernetes using Minikube

  Before deploying the application with Kubernetes, you need to containerize the application using docker. This article shows how to deploy a Flask application on Ubuntu 22.04 using Minikube; a Kubernetes tool for local deployment for testing and free offering. Alternatively, you can deploy your container apps using Cloud providers such as GCP(Google Cloud), Azure(Microsoft) or AWS(Amazon). - Source: dev.to / 3 months ago

• Advanced Backup and Disaster Recovery Strategies

  Consider cloud storage services for offsite storage and automation (Azure, AWS, GCP). - Source: dev.to / 7 months ago

• Deployment (GitHub actions, Bitbucket pipelines), the stupid way

  That is what the YAML is for. Securely send data to a specific cloud service ( AWS, Google Cloud, Azure ). They call the whole process, CI/CD, deployment, etc etc etc. (Hey picky, I know they are not the same, but they kind of are.). - Source: dev.to / 7 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