Leveraging AWS Microservices for Enhanced Efficiency and Scalability in Corporate Cab Hailing Solutions
A leading provider of employee and student transportation services in Bangalore, grappled with the limitations of outdated systems and cumbersome manual workflows. This case study explores how Velocis, as an AWS Advanced Consulting Partner, steered the client in modernizing its applications and migrating to AWS infrastructure. It achieved unparalleled efficiency, dependability, and an elevated user experience.
The Client’s antiquated systems and manual processes underwent a comprehensive overhaul, dramatically improving efficiency and reliability.
A state-of-the-art mobile application and admin web portal were developed, revolutionizing the management of daily office commutes.
AWS architecture was meticulously optimized to deliver unrivaled scalability, high availability, and ironclad security.
Implementing a robust CI/CD pipeline turbocharged release cycles and virtually eliminated manual errors.
Near 100% availability achieved, ensuring seamless user experience and building trust.
Customer Challenge
VTT Transport Solutions, a leader in employee and student transportation based in Bangalore, faced critical limitations due to their legacy systems. Their business, managing over 180 company-owned vehicles and 600 attached vehicles, grew rapidly since 2002. However, reliance on outdated mainframe systems created several operational bottlenecks, including:
Inflexibility: Legacy systems made updates and enhancements difficult and time-consuming.
Manual Inefficiency: Processes like roster management, claims processing, and communication were manual, prone to delays and errors.
Limited Visibility: Lack of real-time insights impeded data-driven decision-making.
Scalability Issues: Legacy infrastructure struggled to support the increasing data and operational complexity.
Security Vulnerabilities: Older systems exposed VTT Transport to potential breaches and data loss.
To continue scaling their operations and enhance efficiency, VTT needed a comprehensive digital transformation.
Proposed Solution
VTT Transport partnered with Velocis, an AWS Advanced Consulting Partner, to develop a modern, cloud-native architecture that could streamline operations, increase scalability, and boost security. The solution aimed to achieve:
Automated Daily Commute Management: Introducing a self-service portal and mobile app for employees to manage their commute schedules.
Enhanced Communication: A centralized communication platform to link employees, drivers, and help desks.
Operational Efficiency: Automation of manual tasks, and real-time operational insights.
Scalable Architecture: A flexible system that could adapt to future growth.
Robust Security: Implementing industry-standard security practices to safeguard sensitive data.
How AWS Was Used as Part of the Solution
The solution leveraged AWS’s robust cloud services to modernize VTT Transport’s infrastructure through a microservices architecture. Key AWS components included:
Amazon Elastic Kubernetes Service (EKS): Provided a managed Kubernetes environment for deploying and scaling containerized microservices. This allowed for agility, scalability, and fault isolation, so individual services could be updated independently.
CI/CD Pipeline using AWS: Velocis implemented a seamless continuous integration and deployment (CI/CD) pipeline using:
AWS CodeCommit for source control.
AWS CodeBuild for compiling and testing the application.
AWS CodeDeploy for automated application deployment to EKS.
Security with AWS Services:
AWS Certificate Manager (ACM) integrated with Elastic Load Balancer (ELB) to ensure secure communication via HTTPS.
AWS Web Application Firewall (WAF): Protected against web attacks.
Amazon API Gateway and Amazon CloudFront facilitated secure and fast global content distribution.
Amazon VPC: Segmented environments for added security.
AWS Systems Manager, AWS Security Hub, and AWS Secrets Manager: Strengthened cloud infrastructure security and monitoring.
Performance Monitoring:
Amazon CloudWatch and Cisco AppDynamics APM were used to monitor logs, application performance, and key metrics.
Amazon SES and SNS: Enabled real-time notifications to stakeholders on critical updates.
Partner’s Support Services During Project
Velocis performed a detailed analysis of VTT Transport’s operational challenges and designed an AWS-based solution to address all major concerns.
A collaborative approach was used to understand the specific requirements of VTT's transportation services, ensuring the solution was tailored to their operational needs.
Velocis offered continuous post-deployment monitoring, ensuring optimal performance through tools like CloudWatch under Managed Services.
Regular updates and enhancements were delivered via the CI/CD pipeline, ensuring rapid response to business and operational changes.
Proactive security monitoring and ongoing infrastructure optimizations were provided, including threat mitigation using AWS WAF and API Gateway.
Solution Architecture Diagram
Outcomes/Results
The implementation of AWS services and Velocis’s cloud-native architecture yielded significant improvements across VTT Transport’s operations:
Increased Agility and Collaboration: Collaboration between development, IT, and operations teams improved by 50%, accelerating innovation.
Improved Operational Efficiency: Automation of previously manual tasks reduced administrative burden, freeing staff for more strategic activities.
Enhanced Scalability: The new architecture easily scales to meet growing user demands, improving system responsiveness during peak periods.
Zero Downtime: Near 100% availability was maintained, ensuring uninterrupted service for corporate and school transportation clients.
Security Enhancement: The adoption of AWS security services ensured that VTT’s data remained protected, reducing the risk of breaches.
Metrics for Success
50% increase in collaboration between teams due to the streamlined development process.
Near 100% system availability.
Reduced manual work by automating 75% of daily commute scheduling tasks.