Business Implications
The AWS architecture ensured zero downtime during traffic spikes, reduced compute costs through automation, and improved scalability for web applications. This setup provides a blueprint for modern businesses seeking performance reliability, resource efficiency, and global availability through AWS best practices.
Steps Performed
Built an end-to-end AWS architecture with load balancing, scaling policies, and monitoring dashboards to demonstrate high performance, resiliency, and optimized compute utilization.
1.
Define System Requirements
Outlined the core needs of a web app including uptime, request load capacity, and security permissions to design a scalable AWS infrastructure aligned with best practices.
2.
Set Up EC2 And Networking
Provisioned EC2 instances across multiple Availability Zones with appropriate security groups, VPC configuration, and SSH key management for secure, distributed hosting.
3.
Implement Load Balancer
Configured an Elastic Load Balancer to evenly distribute incoming traffic, improving availability and ensuring seamless user experience during traffic surges.
4.
Enable Auto Scaling
Set up Amazon Auto Scaling groups and policies to dynamically add or remove EC2 instances based on real-time performance and CPU utilization thresholds.
5.
Integrate Monitoring And DNS
Integrated Amazon CloudWatch dashboards for monitoring key performance metrics and linked Route 53 for global DNS management and health checks.
AWS Services Used
Amazon EC2
Elastic Load Balancer (ELB)
Amazon Auto Scaling
Amazon Route 53
Amazon CloudWatch
AWS Identity And Access Management (IAM)
Terraform
AWS CLI
GitHub
Visual Studio Code
Technical Tools Used
Cloud Architecture Design
Infrastructure Automation
Performance Monitoring
Scalability Optimization
Skills Demonstrated
AWS Scalable Web App Architecture
High-Availability Cloud Infrastructure With Auto Scaling
Designed and deployed a highly available, fault-tolerant web application architecture on AWS using load balancing, auto scaling, and Route 53 DNS routing to ensure performance, scalability, and cost optimization under variable user loads.
