Ojasa Mirai

Ojasa Mirai

Cloud

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Learning Level

🟢 Beginner🔵 Advanced
🔧 AWS Account Setup⚙️ AWS Compute Overview🖥️ EC2 Deployment🎯 Elastic Beanstalk⚡ Lambda Serverless📁 S3 Static Hosting🗄️ RDS Relational Database📊 DynamoDB NoSQL💾 ElastiCache Caching📊 AWS Monitoring🔑 AWS Authentication📈 AWS Scaling & Load Balancing🐳 AWS ECS Containers💰 AWS Cost Optimization
Cloud/Aws Deployment/Aws Compute Overview

⚙️ AWS Compute Overview - Advanced

Multi-Region Architecture

# Deploy in multiple regions
for region in us-east-1 us-west-2 eu-west-1; do
  aws ec2 run-instances \
    --region $region \
    --image-id ami-12345678 \
    --instance-type t3.micro
done

Hybrid Cloud with Outposts

# Configure Outposts
aws outposts create-outpost \
  --name MyOutpost \
  --availability-zone us-east-1a

Workload Classification

def choose_compute_service(workload):
  if workload['type'] == 'batch':
    return 'Batch' if workload['duration'] > 3600 else 'Lambda'
  elif workload['type'] == 'web':
    return 'Beanstalk' if workload['managed'] else 'EC2'
  elif workload['type'] == 'container':
    return 'ECS' if not workload['orchestration'] else 'EKS'

Key Takeaways

  • **Multi-region** ensures disaster recovery
  • **Hybrid** extends on-premises capacity
  • **Right-sizing** optimizes costs
  • **Patterns** drive architecture decisions

Next Steps

Learn about advanced EC2 patterns and optimization.


Resources

Python Docs

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