About
Category
Fintech ,
Services
AWS infrastructure ,
A fintech solutions leader specializing in white-label wallet and payment gateway solutions, eKYC services, and other financial technology offerings reached out to Peerbits. They cater to a diverse clientele by delivering customized solutions that meet unique business requirements. Unlike traditional SaaS models, they offer white-label and bespoke solutions to their customers, ensuring high flexibility and adaptability. Given the sensitive nature of financial transactions and the necessity for high performance, the fintech solution provider needed a robust, secure, and scalable infrastructure custom to their unique business needs.
The Challenges
- Zero downtime : Ensuring uninterrupted service availability to avoid disruptions.
- Scalability : Handling fluctuating transaction volumes seamlessly as demand grows.
- Security : Protecting sensitive customer and transactional data with robust measures.
- Ease of deployment : Streamlining deployment processes to minimize manual intervention.
- High availability : Guaranteeing continuous service uptime to meet customer expectations.
- Performance : Maintaining smooth and efficient system operations, even at a large scale.
The Solution
Containerized deployment with Kubernetes
Implemented Kubernetes : Managing containerized applications, ensuring scalability and efficient workload handling.
Blue-Green deployment pipeline : Minimized deployment risks by maintaining two environments (blue and green), ensuring zero downtime during updates.
Database management
Transactional database : Deployed using Amazon RDS for reliable and secure management of live transactional data.
MongoDB Atlas : Used for non-relational data, offering high performance and flexibility.
Elastic Cloud : Implemented for advanced search and analytics, supporting a robust database layer.
Database segmentation : Separated transactional and reporting databases to ensure smooth operations during heavy usage.
Caching with Elasticache (Redis)
AWS Elasticache : Implemented Redis for caching to improve system performance, reduce latency, and enhance user experience.
Secure networking
Virtual Private Cloud (VPC) : Established a tightly controlled network architecture with private subnets to isolate sensitive components.
Web Application Firewall (WAF) Protected against common web vulnerabilities like SQL injection and cross-site scripting.
AWS Shield : Provided DDoS protection to ensure continuous service availability during attacks.
Messaging & transaction management with Kafka
Apache Kafka : Deployed for managing high-throughput, real-time transaction data, ensuring data consistency and reliability.
Pipeline for deployment
CI/CD Pipeline : Automated code delivery for quick and reliable infrastructure updates with zero downtime.
Monitoring and logging with Datadog
Datadog Integration : Provided comprehensive monitoring and observability through logs, metrics, and traces accessible via an intuitive dashboard.
Alerting Mechanism : Configured proactive alerts to notify the team of potential issues, ensuring quick resolution and minimal downtime.
Key features
- Kubernetes setup : Enabled containerized application management with automated scaling and blue-green deployment.
- Amazon RDS : Provided a reliable and secure transactional database solution.
- MongoDB Atlas : Handled non-relational data with high performance and flexibility.
- Elastic Cloud : Supported advanced search and analytics for a robust database layer.
- AWS Elasticache (Redis) : Improved system performance and reduced latency through caching.
- VPC Configuration : Ensured secure and isolated networking with private subnets.
- WAF Implementation : Protected against web vulnerabilities like SQL injection and cross-site scripting.
- AWS Shield : Offered DDoS protection for uninterrupted service availability.
- Apache Kafka : Managed high-throughput, real-time transaction data for consistency and reliability.
- CI/CD Pipeline : Automated infrastructure updates with zero downtime.
- Datadog Integration : Delivered comprehensive monitoring and observability with proactive alerting.
Results
- Zero downtime : The blue-green deployment strategy ensured continuous availability of services, even during updates.
- Enhanced scalability : Kubernetes, along with AWS auto-scaling capabilities, allowed seamless scaling to meet peak transaction demands.
- Robust security : The combination of VPCs, private subnets, WAF, and AWS Shield provided a multi-layered security architecture to protect sensitive data.
- High availability : Redundant components and robust failover mechanisms ensured uninterrupted service delivery.
- Improved performance : With Redis caching, segmented databases, and efficient data handling, the system delivered fast responses even during high traffic.
- Streamlined deployment : The automated CI/CD pipeline accelerated the deployment process and reduced manual errors.
- Improved observability : Datadog’s dashboards and alerting mechanisms provided visibility into system performance, helping the team monitor and resolve issues effectively.
Tech stacks we used
Programming Language
Java, Python
Cloud Provider
AWS (Amazon Web Services)
Framework
Kubernetes, AWS CDK (Cloud Development Kit)
