
Revolutionizing Ride Booking Mobile Application with Microservices and AWS Infrastructure

A scalable, cloud-native ride booking mobile application to modernize ride-hailing using AWS and microservices architecture
| Industry | Transportation Technology, IT |
| Features | Microservices Architecture, AWS Infrastructure Orchestration, Database Configuration, CI/CD Pipeline Security, EKS Cluster & Infrastructure Configuration, Terraform for Orchestration, Private Subnet & VPC Peering, Monitoring Tools Implementation, VPC Establishment |
| Technologies | Python FastAPI, JAVA SpringBoot, NestJS, Mongo Atlas and AWS Aurora PostgreSQL, Flutter, React JS |
| Infrastructure | EKS, Name Cheap, S3, CloudFront, Route 53, Amazon Certificate manager, SES, GitHub, GitHub Action, ArgoCD |
Microservices Architecture:
• Technology Stack: Leveraging Node JS, Java, Python for microservices. • Database Management: Using Mongo Atlas and AWS Aurora PostgreSQL for data storage. • EKS Cluster & Infrastructure Configuration: Employing AWS EKS Cluster with services like App Service, Storage Account, CDN, Application Gateway, and Azure Functions. • Terraform for Orchestration: Utilizing Terraform to orchestrate the entire infrastructure, ensuring consistency and scalability. • Private Subnet & VPC Peering: Establishing a private subnet within a VPC for enhanced security and segregated network access. • Monitoring Tools Implementation: Integrating Grafana, Prometheus, Loki, Protail, and kube-metrics-state for real-time monitoring and performance optimization.
AWS Services Utilization:
• AWS Services Setup: Configuring services such as EKS, Name Cheap, S3, CloudFront, Route 53, Amazon Certificate Manager, and SES for an end-to-end application infrastructure. • VPC Establishment: Creating a custom VPC to house AWS services within private subnets, bolstering data security and isolation. • VPC Peering & Database Connection: Enabling secure connections using VPC peering between AWS Aurora PostgreSQL, Mongo Atlas, and the established VPC.
Implementing best practices in mobile application infrastructure automation and services discovery can lead to better scalability and user satisfaction.
CI/CD Pipeline and Security Measures:
• CI/CD Pipeline Enhancement: Integrating GitHub Actions for CI and ARGOCD for CD to facilitate seamless deployments. • Git Guarding for Code Quality: Implementing Git Guarding within the CI/CD pipeline for stringent code quality checks. • Infrastructure Security Measures: Leveraging AWS Inspector and GuardDuty for enhanced infrastructure security and threat detection.

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