Key Features
Compute Services
Launch virtual machines, containers, and serverless functions with EC2, Azure VMs, or GCP Compute Engine.
Storage & Databases
Use S3, Blob Storage, or Cloud Storage along with managed databases like RDS, Cosmos DB, or Cloud SQL.
AI & ML Services
Build intelligent apps using SageMaker, Azure AI, or Vertex AI with pre-trained models and custom training.
DevOps & Monitoring
Automate CI/CD with CodePipeline, Azure DevOps, or Cloud Build and monitor with CloudWatch, Monitor, or Stackdriver.
How It Works
Create Account
Sign up for AWS, Azure, or GCP and access the cloud console.
Provision Resources
Launch compute instances, databases, and storage buckets.
Configure Networking
Set up VPCs, firewalls, load balancers, and DNS routing.
Deploy Applications
Use containers, serverless functions, or CI/CD pipelines to deploy code.
Monitor & Scale
Track usage, set alerts, and auto-scale based on demand.
Code Example
# AWS CLI Example
aws s3 cp myfile.txt s3://my-bucket/
# Azure CLI Example
az storage blob upload --file myfile.txt --container-name my-container
# GCP CLI Example
gsutil cp myfile.txt gs://my-bucketUse Cases
Web App Hosting
Deploy scalable web apps using EC2, App Service, or App Engine.
Data Analytics
Process big data with Redshift, Synapse, or BigQuery.
AI/ML Workloads
Train and deploy models using SageMaker, Azure ML, or Vertex AI.
DevOps Automation
Set up CI/CD pipelines and infrastructure as code with Terraform or native tools.
Integrations & Resources
Explore AWS / Azure / GCP’s ecosystem and find the tools, platforms, and docs to accelerate your workflow.
Popular Integrations
- Docker, Kubernetes, Terraform
- GitHub, GitLab, Bitbucket
- Jenkins, Azure DevOps, Cloud Build
- PostgreSQL, MySQL, MongoDB
- React, Angular, Node.js
Helpful Resources
FAQ
Common questions about AWS / Azure / GCP’s capabilities, usage, and ecosystem.