Scaling in the Cloud: AWS Auto Scaling, Azure VMSS, and GCP MIGs

#AWS #Azure #GCP #Terraform #CloudScaling

**Scaling Flask Microservices Across AWS, Azure, and GCP**

In this video series, we explore how to deploy Flask-based microservices and implement cloud-native scaling solutions across AWS, Azure, and Google Cloud Platform (GCP).

**What You’ll Learn**

• Deploy Flask microservices on virtual machines in AWS, Azure, and GCP
• Use document databases for data storage:
  • DynamoDB (AWS)
  • CosmosDB (Azure)
  • Firestore (GCP)
• Build machine images using Packer
• Implement scaling with Terraform:
  • Auto Scaling (AWS)
  • VM Scale Sets (Azure)
  • Managed Instance Groups (GCP)
• Simulate load to trigger scaling events
• Tear down infrastructure safely after testing

**Project Repository**

GitHub: https://github.com/mamonaco1973/cloud-scaling-intro
README: https://github.com/mamonaco1973/cloud-scaling-intro/blob/main/README.md

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00:00 Introduction
01:53 Flask Endpoints
02:31 Test in Postman
04:01 AWS Solution
04:50 Azure Solution
05:44 GCP Solution

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AWS Solution: https://youtu.be/lvREdDtDdFw
Azure Solution: https://youtu.be/N7_UxJ2CLow
GCP Solution: https://youtu.be/7R22Rc0JYSY

Видео Scaling in the Cloud: AWS Auto Scaling, Azure VMSS, and GCP MIGs канала Mike's Cloud Solutions