Unit 6 Assignment: Cloud Monitoring Strategy Development Overview In today’s cloud-first business landscape, infrastructure must be scalable, cost-efficient, and resilient to fluctuating demand. In this project, yo
3 min read
Unit 6 Assignment: Cloud Monitoring Strategy Development
Overview
In today’s cloud-first business landscape, infrastructure must be scalable, cost-efficient, and resilient to fluctuating demand. In this project, you will assume the role of a cloud solutions architect for a fictional e-commerce company, TechMart. Your mission is to evaluate their existing cloud setup and propose a robust infrastructure design that supports peak traffic, enhances performance, and optimizes cost, while ensuring high availability and observability.
Purpose
This assignment allows you to apply end-to-end cloud architecture and operations knowledge. You will design a dynamic infrastructure, deploy it using a leading cloud platform, validate its scalability, and fine-tune it based on test data. The deliverables simulate real-world expectations in enterprise environments — combining technical, operational, and financial considerations into a cohesive solution.
Associated Skills
- Designing fault-tolerant and scalable cloud architectures
- Implementing real-time monitoring and metrics dashboards
- Applying cloud-native cost optimization techniques
- Configuring load balancing and traffic routing policies
- Enabling automated infrastructure scaling with smart policies
Instructions
Phase 1: Infrastructure Design and Planning
Step 1: Requirements Analysis
Analyze TechMart’s cloud pain points — seasonal demand surges, inconsistent latency, rising costs, and limited visibility. Capture:
- Scalability requirements during Black Friday and other high-load events
- Target response time and availability metrics
- Budget thresholds and cost-efficiency goals
Step 2: Architecture Blueprint
Design a complete cloud architecture diagram with:
- Web Tier: Load balancers, front-end servers, CDN
- App Tier: Microservices and API gateway
- Data Tier: Primary/replica databases, caching strategies
- Monitoring Layer: Observability stack and alerting systems
Deliverable:
A design report with:
- A concise needs analysis summary
- Annotated architecture diagram
- Justification for chosen services and tools
- Estimated cost projections
Phase 2: Implementation and Configuration
Step 3: Infrastructure Deployment
Set up a cloud environment in AWS, Azure, or GCP:
- Configure load balancing with SSL termination, health checks, routing
- Implement auto-scaling groups for application layers
- Set performance-based triggers using metrics like CPU, memory, request count
- Deploy monitoring dashboards and alert thresholds
Step 4: Cost Optimization Strategy
Evaluate your architecture for:
- Overprovisioning or idle instances
- Opportunities for reserved or spot instance usage
- Lifecycle policies for storage classes
- Service limits and billing configurations
Deliverable:
A technical implementation report containing:
- Screenshots of cloud configurations
- Auto-scaling policy details
- Monitoring dashboard views
- Cost optimization spreadsheet and summary
Phase 3: Testing and Optimization
Step 5: Performance Testing
Simulate user load and stress scenarios:
- Conduct load tests using JMeter or cloud-native tools
- Trigger failover scenarios to test high availability
- Validate auto-scaling accuracy and monitoring alerts
Step 6: Refinement and Tuning
Improve system performance and efficiency:
- Adjust scaling cooldowns and threshold sensitivity
- Refine load balancing rules or caching behavior
- Minimize alert fatigue with focused metric tuning
- Document final configuration changes
Deliverable:
A performance analysis report featuring:
- Testing outcomes with commentary
- Before-and-after performance visuals
- Final tuning decisions and cost/ROI review
1. Executive Summary Presentation
o Summary of the business problem and technical solution
o Architecture overview with diagrams
o Financial overview and ROI case
o Risk mitigation strategies and timeline
2. Technical Documentation Package
o Full design and configuration documentation
o Setup instructions and implementation notes
o Monitoring and troubleshooting playbooks
3. Reflection Paper
o Key learnings and skills applied
o Project challenges and how they were solved
o Professional relevance and next steps in your cloud career
Technical Accuracy
- Proper use of cloud-native services
- Sound architectural choices and justifications
- Fully functional implementation with valid scaling and monitoring logic
Documentation Quality
- Professionally structured reports and visual clarity
- Step-by-step documentation of setup and decisions
- Strong visual support via diagrams and screenshots
Innovation and Presentation
- Creative use of modern cloud tools
- Forward-looking improvements and recommendations
- Clear, persuasive communication of technical solutions
Submission Requirements
- Submit a DOCX file named: LastName_FirstName_CloudProject.docx
- 5-7 page limit
- Ensure all screenshots and links are active and accessible
- Submit via LMS by the assigned due date: Tuesday, 11:59 PM ET
Evaluation Criteria:
Your assignment will be evaluated based on the following rubric:
