RelientOps
FintechAugust 1, 2024·Confidential Fintech Platform

Kubernetes-Based Fintech Infrastructure on AWS

Designed and managed a cloud-native AWS infrastructure for a fintech platform requiring high availability, secure deployments, and automated scaling.

AWSEKSKubernetesTerraformJenkinsPrometheusGrafana

Deployment Errors

Eliminated via automated pipelines

Cluster Visibility

Full observability with Prometheus & Grafana

Infrastructure Lifecycle

Fully automated with Terraform + Ansible

Kubernetes-Based Fintech Infrastructure on AWS

Overview

Designed and managed a cloud-native AWS infrastructure for a fintech platform requiring high availability, secure deployments, and automated scaling.

Client Background

Confidential fintech product handling user transactions and requiring secure, reliable infrastructure.

The Challenge

The platform required:

  • Reliable containerized deployment
  • Secure networking
  • Automated CI/CD
  • Scalable Kubernetes cluster
  • Observability and monitoring

Architecture Overview

Users
→ AWS ALB
→ Kubernetes Cluster (EKS)
→ API Pods
→ Worker Pods
→ RDS
→ S3
→ Prometheus + Grafana

Implementation Approach

Infrastructure Provisioning

  • Used Terraform for AWS resource provisioning
  • Created VPC, subnets, security groups
  • Configured EKS cluster

Containerization

  • Built Docker images
  • Managed Docker networks and volumes
  • Pushed artifacts via CI pipeline

CI/CD Automation

  • Integrated GitHub → Jenkins → Kubernetes
  • Automated container builds and deployments
  • Implemented rollback capability

Monitoring

  • Implemented Prometheus monitoring
  • Built Grafana dashboards
  • Configured alerts for cluster health

Tools & Technologies

AWS EC2
EKS
Terraform
Docker
Jenkins
GitHub
Ansible
Prometheus
Grafana

Results & Impact

  • Reduced deployment errors
  • Improved cluster visibility
  • Achieved scalable architecture
  • Automated infrastructure lifecycle

Key Takeaways

Container orchestration combined with Infrastructure as Code significantly improves reliability and deployment confidence.