From 5 hour deployment to 15 mins – Here’s how we transformed the workflow.

1. Executive Summary

Leading Retailer founded in 1978, is a leading retailer of consumer electronics and home appliances with over 127 showrooms across South India. Facing operational challenges due to legacy systems, scalability issues, and increasing IT overhead,Leading Retailer turned to AWS and Precision Infomatic to modernize their infrastructure and adopt DevOps best practices for improved agility, performance, and security.

2. About the Customer

Leading Retailer operates one of the largest retail chains in Tamil Nadu, distributing a wide array of electronics and appliances, including leading brands like Lloyd, OnePlus, and Daikin. The company has begun embracing digital transformation through mySAP ERP deployment in selected showrooms to streamline operations and improve service quality.

Customer Challenge

• Frequent system downtimes hampering productivity.
• Weak security controls risking compliance and data integrity.
• Difficulty scaling operations in response to business growth.
• High operational costs due to legacy infrastructure and inefficient integrations.

3. Problem Statement

Leading Retailer faced significant challenges in its software development lifecycle, leading to inefficiencies and increased costs:

Poor Visibility in Development

Developers spent 40% of their time manually identifying where code issues occurred rather than fixing them.

No centralized logging led to 5+ hours per week wasted on troubleshooting.

High Delivery Costs

Manual handoffs between teams increased deployment costs by 35%.

Lack of automation resulted in 20% higher infrastructure expenses due to inefficiencies.

Excessive Manual Debugging

70% of release delays were caused by late-stage testing bottlenecks.

Debugging consumed 30% of developer bandwidth, slowing feature delivery.

Inconsistent Code Quality

25% of production defects stemmed from untested code merges.

Lack of automated checks led to a 15% rollback rate post-deployment.

Complex & Risky Rollbacks

Manual rollbacks took 3+ hours per incident, increasing downtime costs.

40% of critical issues required emergency patches due to slow recovery.

4. Why AWS

Leading Retailer selected AWS for the following reasons:

Cost-effectiveness: Pay-as-you-go model significantly reduced IT expenditures.
Security: Comprehensive security and compliance capabilities protected sensitive customer and business data.
Scalability: AWS’s flexible infrastructure enabled seamless scaling based on demand.

5. Why the Customer Chose the Partner

The customer chose Precision Infomatic based on:

1. Proven technical expertise in AWS DevOps solutions.
2. Domain experience in the retail sector.
3. Certified AWS professionals with demonstrated cloud migration and automation success.
4. Strong focus on customer-centric solution design and delivery.

6. Why the Customer Engaged the Partner

• Proven Track Record: Previous success in similar digital transformation engagements.
• Accelerated Deployment:Delivered faster timelines and improved project efficiency.
• Access to Tools & Frameworks: Provided specialized DevOps and AWS automation resources.
• Alignment with AWS Best Practices:Delivered a solution built on the latest AWS architecture and operational excellence standards AWS Well-Architected Framework.

7. Partner Solution

Precision Infomatic designed and implemented a robust, cloud-native DevOps solution tailored to Leading Retailer’s requirements. The architecture emphasized automation, resilience, and operational continuity.

AWS Architecture Design

The AWS environment was designed to:

Support high availability and scalability.
Automate infrastructure provisioning and application deployments.
Enable rapid change management with minimal risk.

8. Key DevOps Practices Implemented

• Source Control: GitHub used for version-controlled code and infrastructure management.
• Continuous Integration (CI): Automated builds and test pipelines triggered on code commits.
• Infrastructure as Code (IaC): AWS CloudFormation used for repeatable, scalable infrastructure provisioning.
• Continuous Delivery (CD): End-to-end automation for deployment to production with reduced manual intervention.

9. Primary AWS Services Used

• Amazon EC2 Auto Scaling: Elastic compute resources for cost-efficient performance.
• Amazon RDS for SQL Server:Managed database with high availability and automated maintenance.
• AWS CodePipeline: Orchestrated CI/CD pipeline for rapid, reliable deployments.
• Amazon S3: Durable and secure object storage for application and backup data.
• AWS WAF: Protected applications from common web exploits and vulnerabilities.
• AWS CloudFormation: Automated infrastructure provisioning using reusable templates.

10. Results and Benefits

• Improved Development Visibility: AWS CloudWatch & X-Ray reduced issue detection time by 90% (from hours to <15 minutes).
• Reduced Delivery Costs: AWS CodePipeline & CodeBuild automated workflows, cutting costs by 30%.
• Eliminated Manual Debugging Bottlenecks: Automated testing (AWS CodeBuild) reduced bugs by 60%.
• Enhanced Code Quality: AWS CodeCommit + GitHub Actions enforced pre-merge checks.
• Simplified Rollbacks: Blue/Green Deployments (AWS CodeDeploy) enabled 5-minute rollbacks.

Operational Excellence

• Deployment success rate improved from 75% to 99.8%.
• Zero critical outages in 5 months (vs. 4–5 per month previously).
• 50% faster time-to-market for new features.

11. Lessons Learned

• CI/CD with AWS CodePipeline + EC2: Automating the build and deployment process using AWS CodePipeline and CodeDeploy helped streamline EC2 deployments and eliminate manual steps.
• Deployment Hooks for Restart and Health Check: Custom deployment lifecycle hooks enabled safe restarts of backend services and pre/post-deployment validation.
• Blue/Green Deployment on EC2: Implementing Blue/Green strategies using CodeDeploy on EC2 Auto Scaling Groups allowed near-zero-downtime releases and safer rollbacks.
• Decoupling Frontend and Backend Pipelines: Separate CI/CD workflows for React and Java services, integrated with S3 and CloudFront for frontend hosting, ensured cleaner releases.
• Environment Cost Control: By automating stop/start of EC2 environments via CloudWatch Events and Lambda, idle costs were minimized.
• Improved Quality Assurance: Integrating basic unit tests and endpoint smoke tests within the CodeBuild process improved release stability and reduced production incidents.

TCO:

Comprehensive pricing table comparing the current setup with the partner solution.    The table includes estimates for performance, deployment efficiency, infrastructure management, and market responsiveness.

12. About the Partner

Precision Infomatic is an AWS Advanced Tier Consulting Partner, specializing in DevOps, cloud transformation, and digital modernization services. As a member of the AWS Public Sector and Well-Architected Partner Programs, Precision delivers solutions that are secure, scalable, and aligned with business and technical requirements.