Task Statement 3.3: Determine High-Performing Database Solutions

This study group focuses on designing scalable, high-performing, and resilient database architectures that balance performance, cost, and scalability.

We will follow SecureCart, an e-commerce platform, as they optimize their database architecture, integrate caching strategies, and leverage AWS managed database services to improve performance.

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📅 Study Group Agenda

Week	Topic	Key AWS Services
Week 1	AWS Database Types & Use Cases	Amazon RDS, DynamoDB, ElastiCache, Aurora
Week 2	Database Performance Optimization	Read Replicas, Provisioned IOPS, Query Optimization
Week 3	Caching Strategies for High-Performance Applications	Amazon ElastiCache (Redis & Memcached), DynamoDB DAX
Week 4	Database Scaling & Replication	Auto Scaling, Read Replicas, Aurora Serverless
Week 5	High Availability & Disaster Recovery for Databases	Multi-AZ, Global Tables, AWS DMS
Week 6	Hands-on Labs & Final Challenge	Implementing a High-Performance Database Architecture

Final Study Group Summary

Week	Focus Area	Outcome
Week 1	AWS Database Types & Use Cases	Select the Best Database for Workloads
Week 2	Database Performance Optimization	Improve Query Speed & Reduce Latency
Week 3	Caching Strategies	Reduce Database Load Using ElastiCache & DAX
Week 4	Database Scaling & Replication	Implement Read Replicas & Auto Scaling
Week 5	High Availability & Disaster Recovery	Deploy Multi-AZ & Global Tables for Resilience
Week 6	Hands-on Scenarios	Implement an End-to-End AWS Database Solution

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🚀 Next Steps

Would you like: ✅ Terraform automation scripts for AWS database services? ✅ Scenario-based quizzes for each study group session? ✅ Instructor-led deep-dive discussions?