Lesson 2: Storage, Databases, Monitoring, Scaling, Automation, and Containers

Topics Covered

• Amazon S3 buckets, storage classes, lifecycle policies, versioning, replication, encryption, and access patterns
• Shared file systems, block storage, backup integration, and AWS data-transfer and migration options
• Amazon RDS, Amazon Aurora, read replicas, Multi-AZ, Amazon DynamoDB, indexes, capacity modes, and database selection
• Amazon ElastiCache, DynamoDB Accelerator, caching patterns, session management, and performance improvement
• Amazon CloudWatch metrics, logs, alarms, dashboards, events, AWS CloudTrail, and operational visibility
• Elastic Load Balancing, EC2 Auto Scaling, health checks, scaling policies, and highly available application tiers
• AWS CloudFormation, Systems Manager, infrastructure automation, Amazon ECS, AWS Fargate, and container architecture

Practical Activity

• Select storage and database services for transactional, document, cache, archive, and shared-file requirements.
• Design a load-balanced and auto-scaled application tier with monitoring alarms and recovery actions.
• Create an infrastructure-as-code plan for repeatable network, compute, security, and application deployment.

Lesson Outcome

Learners can select and combine AWS data, monitoring, scaling, automation, and container services to build manageable and elastic architectures.