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Cloud Concepts

Regions Availability Zones Edge locations Shared responsibility model High availability Elasticity Scalability Fault tolerance Pay-as-you-go pricing AWS global infrastructure

Identity & Security

IAM users IAM groups IAM roles IAM policies Least privilege MFA AWS Organizations Service control policies KMS keys CloudTrail

Compute

EC2 instances AMI Instance types Security groups Auto Scaling groups Elastic Load Balancing Lambda functions ECS containers EKS overview Elastic Beanstalk

Storage

S3 buckets S3 object keys S3 versioning S3 lifecycle rules S3 encryption EBS volumes EFS file systems S3 Glacier Storage classes Presigned URLs

Networking

VPC Public subnet Private subnet Route tables Internet gateway NAT gateway Network ACLs Security group statefulness Route 53 CloudFront

Databases

RDS Aurora DynamoDB ElastiCache Redshift RDS Multi-AZ Read replicas DynamoDB partition key DynamoDB sort key Database backups

Observability & Automation

CloudWatch metrics CloudWatch logs CloudWatch alarms EventBridge SNS SQS Systems Manager CloudFormation AWS Config Cost Explorer

Architecture

Well-Architected pillars Stateless web tier Multi-AZ architecture Decoupling with queues Caching strategy Serverless API Backup strategy Disaster recovery Cost optimization Tagging strategy

AWS Cloud Fundamentals / Architecture

Decoupling with queues

Learn Decoupling with queues in AWS Cloud with a dedicated explanation, topic-specific example, edge guidance, and mastery check.

12 min read • Advanced

aws-cloud-074.sh

sh

# API writes a job to SQS; workers consume independently, retry failed jobs, and use a DLQ.

What to watch

Content source & attribution

Original Syntaxis Content · Original Syntaxis Content

Lesson quizzes

Decoupling with queues Mastery Check →

Multi-AZ architecture

Caching strategy