Week 6 Worklog
Week 6 Objectives
- Master fundamental AWS storage services and their use cases.
- Enhance Python programming skills through practical exercises.
- Design and refine the project’s infrastructure architecture.
- Attend the “Reinventing DevSecOps with AWS Generative AI” webinar to explore DevSecOps practices and Amazon Q Developer.
- Workshop: Complete Database & Storage Setup and configure S3 for static assets.
Tasks Completed This Week
| Day | Task | Start Date | Completion Date | Reference Material |
|---|
| 2 | - Study Amazon S3 fundamentals: Bucket architecture, durability guarantees, and static website hosting capabilities.
- Explore S3 Storage Classes (Standard, Standard-IA) and Amazon Glacier for cold storage solutions.
- Complete: Static Website Hosting with Amazon S3. | 14/10/2025 | 15/10/2025 | AWS S3 Documentation |
| 3 | - Learn AWS Storage Gateway types (File, Volume, Tape Gateway) and their integration patterns.
- Understand Object Lifecycle Management policies for cost optimization.
- Practice Python fundamentals: data structures, functions, and error handling.
- Attend webinar: “Reinventing DevSecOps with AWS Generative AI” featuring Hoàng Kha. | 16/10/2025 | 17/10/2025 | AWS Storage Gateway
AWS Events |
| 4 | - Study disaster recovery concepts: RTO, RPO, and Backup & Restore strategies.
- Explore AWS Backup service for centralized backup management.
- Hands-on: Create S3 buckets, upload files, configure static website hosting, and test lifecycle policies.
- Research DevSecOps methodologies: CI/CD pipelines, SAST/DAST tools, Infrastructure as Code.
- Workshop Activity: Deploy RDS PostgreSQL Multi-AZ instance and ElastiCache Redis cluster. | 18/10/2025 | 19/10/2025 | AWS Backup, Workshop 5.6 |
| 5 | - Finalize project infrastructure architecture diagram with detailed component relationships.
- Restructure code skeleton to align with the updated architecture design.
- Standardize programming language and framework selection for team consistency.
- Explore Amazon Q Developer capabilities: AI-powered code generation, testing, and vulnerability scanning. | 20/10/2025 | 21/10/2025 | Amazon Q Developer |
AWS Skill Builder Courses Completed
| Course | Category | Status |
|---|
| Static Website Hosting with Amazon S3 | Storage | ✅ |
| Data Protection with AWS Backup | Reliability | ✅ |
| Content Delivery with Amazon CloudFront | Networking | ✅ |
Week 6 Achievements
Storage Services Mastery:
- Comprehensive understanding of Amazon S3 architecture: Buckets, durability (99.999999999%), and static website hosting
- Mastered S3 Storage Classes: Standard, Standard-IA, Glacier for different access patterns
- Learned AWS Storage Gateway integration patterns for hybrid cloud storage
- Understood Object Lifecycle Management for automated data tiering and cost optimization
Disaster Recovery & Backup:
- Grasped disaster recovery fundamentals: RTO (Recovery Time Objective) and RPO (Recovery Point Objective)
- Learned AWS Backup service for centralized backup management across services
- Understood Backup & Restore strategies for business continuity
Development Skills:
- Enhanced Python programming through practical exercises
- Successfully created S3 buckets, configured static websites, and tested lifecycle policies
- Improved understanding of data structures and error handling
Project Planning:
- Finalized comprehensive infrastructure architecture diagram
- Restructured code skeleton with proper directory structure
- Standardized technology stack for team collaboration
DevSecOps Insights:
- Attended “Reinventing DevSecOps with AWS Generative AI” webinar (October 16, 2025)
- Learned DevSecOps integration: Security in SDLC using Jenkins (CI/CD), SonarQube (SAST), OWASP ZAP (DAST), Terraform (IaC)
- Explored Amazon Q Developer: AI assistant for code generation, testing, vulnerability scanning, and AWS optimization
Workshop Progress - Database & Storage:
- Deployed RDS PostgreSQL Multi-AZ instance in private DB subnets for high availability
- Configured ElastiCache Redis cluster for session management and application caching
- Set up S3 buckets for static website assets, user uploads, and document storage
- Configured S3 lifecycle policies for cost optimization (transitioning to Glacier)
- Established database connection strings and caching endpoints for application integration
- Implemented database backup strategies using AWS Backup service
Key Takeaways:
- S3 is the foundation for object storage in AWS - understanding storage classes is crucial for cost optimization
- Lifecycle policies automate data management and reduce storage costs significantly
- AWS Backup provides unified backup management across multiple AWS services
- DevSecOps integrates security throughout the development lifecycle, not as an afterthought
- RDS Multi-AZ provides automatic failover for database high availability
- ElastiCache significantly improves application performance through in-memory caching
- Private subnets for databases provide additional security layer