Case Study: Deploy a Multi-tier Website using AWS EC2

Overview

Sodaka recently partnered with a mid-sized e-commerce company looking to modernise its IT infrastructure and improve the scalability and reliability of its website. The project involved deploying a multi-tier website using AWS EC2, transforming their legacy on-premises system into a robust, cloud-based architecture.

Client Challenges

The client faced several challenges with their existing setup:

  • Scalability Issues: The on-premises infrastructure couldn’t handle traffic spikes during peak seasons, leading to website downtime and lost sales.
  • High Maintenance Costs: Maintaining physical servers and infrastructure was costly and time-consuming.
  • Limited Flexibility: The legacy system lacked the flexibility needed for quick updates and new feature deployments.

Objectives

  • Scalability: Implement a scalable solution to handle varying traffic loads without downtime.
  • Cost Efficiency: Reduce maintenance costs by moving to a cloud-based infrastructure.
  • Improved Deployment: Enable rapid deployment and updates with minimal disruption.

Solution: Multi-tier Architecture on AWS EC2

Sodaka proposed a multi-tier architecture using AWS EC2 to address these challenges. The architecture included:

Presentation Tier:

  • Load Balancer: An AWS Elastic Load Balancer (ELB) to distribute incoming traffic across multiple EC2 instances, ensuring high availability and reliability.
  • Web Servers: A fleet of EC2 instances running Apache/Nginx to serve the website’s front-end content.

Application Tier:

  • Application Servers: Another set of EC2 instances running the application logic, ensuring the separation of concerns and better manageability.
  • Auto Scaling: AWS Auto Scaling to automatically add or remove EC2 instances based on traffic load, optimising performance and cost.

Data Tier:

  • Database: Amazon RDS (Relational Database Service) for a managed, scalable, and highly available database solution.
  • Caching: Amazon ElastiCache to improve application performance by caching frequently accessed data.

Security:

  • VPC: Amazon Virtual Private Cloud (VPC) to isolate the client’s resources and control network access.
  • Security Groups: Configured security groups to manage and restrict access to EC2 instances and other resources.
  • IAM: AWS Identity and Access Management (IAM) for secure and fine-grained access control.

Continuous Integration/Continuous Deployment (CI/CD):

  • CodePipeline and CodeDeploy: AWS CodePipeline and CodeDeploy for automating the deployment process, enabling continuous integration and rapid delivery of new features.

Implementation

Planning and Design

  • Assessed the client’s existing infrastructure and requirements.
  • Designed a detailed architecture diagram and migration plan.

Setup and Configuration

  • Created and configured the VPC, subnets, and security groups.
  • Launched EC2 instances and configured the web and application servers.
  • Set up the Elastic Load Balancer and Auto Scaling groups.
  • Configured Amazon RDS and ElastiCache.

Deployment

  • Migrated the application and database to AWS.
  • Set up CodePipeline and CodeDeploy for automated deployments.
  • Conducted thorough testing to ensure everything worked seamlessly.

Monitoring and Optimization:

  • Implemented monitoring using Amazon CloudWatch.
  • Optimised performance based on real-time data and feedback.

Results

  • Scalability: The new architecture handled traffic spikes effortlessly, with the Auto Scaling feature ensuring optimal resource usage and availability.
  • Cost Efficiency: The client significantly reduced their maintenance costs by moving to a managed, cloud-based infrastructure.
  • Improved Deployment: The CI/CD pipeline enabled rapid and reliable deployments, allowing the client to push updates and new features with minimal downtime.
  • Enhanced Performance: The use of ElastiCache improved the overall performance and response times of the application.

Client Feedback

The client expressed high satisfaction with the new setup. They particularly appreciated the scalability and cost savings, as well as the seamless deployment process enabled by the CI/CD pipeline. The transition to AWS EC2 not only solved their immediate challenges but also positioned them for future growth and innovation.

Conclusion

This case study demonstrates Sodaka’s expertise in cloud migration and DevOps practices. By leveraging AWS EC2 and related services, we provided a scalable, cost-efficient, and high-performing solution that met the client’s needs and exceeded their expectations. This project is a testament to our commitment to delivering top-tier DevOps and Cloud Migration services.

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This case study showcases a real-world example of how Sodaka can help businesses modernise their IT infrastructure using AWS. It highlights the process, benefits, and client outcomes, providing potential clients with a clear understanding of your capabilities and expertise.

Description

  1. Route 53 directs incoming client requests to the Application Load Balancer.
  2. The Load Balancer distributes traffic across multiple EC2 instances in an Auto Scaling Group to ensure high availability.
  3. The EC2 instances serve the web application.
  4. The application interacts with Amazon RDS for database operations.
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