Deploy AWS, Azure & GCP in One Pipeline| Day 25

Описание: #devops #multicloud #ci_cd #aws #azure #gcp #automation #cloudcomputing #jenkins #githubactions #techtips #CloudEngineering #InfrastructureAsCode #continuousdelivery

Deploying Frontend, Backend, and Data Jobs across AWS, Azure, and GCP can be tricky — but it doesn’t have to be! 🚀

Here’s the 4C Framework to automate multi-cloud CI/CD like a pro:

1️⃣ Connect (Access & Authentication)

Securely store AWS, Azure, and GCP credentials using Jenkins Plugins or GitHub Secrets.

2️⃣ Configure (Environment Setup)

Pipeline stages target each cloud:

Build & Test → Common

Frontend → AWS

Backend → Azure

Data Jobs → GCP

3️⃣ Coordinate (Orchestration & Dependencies)

Parallel stages for independent components

Conditional triggers for efficient deployment

Modular YAML files for each cloud

4️⃣ Control (Monitoring & Rollback)

Slack/Teams notifications for build status

Centralized logs in CloudWatch/Log Analytics

Rollback with S3 versioning, App Service slots, and Cloud Run revisions

💥 With this framework, your multi-cloud deployments become predictable, automated, and scalable.