The client is a leading provider of prepaid debit cards for personal and commercial use. The products are designed to be used as tools for people without a traditional bank account or who prefer to use alternative financial services. The client was looking to migrate their micro-services from on-prem to AWS Cloud with the help of the latest technologies like Docker, Kubernetes, Terraform, and other required AWS automation.The Client engaged Trianz to containerize the Microservices on AWS.

THE BUSINESS CHALLENGE

The client needed to build a dependable, robust and secure technology infrastructure for:

  • Migrating the micro-services from on-prem to the cloud (AWS)

  • Containerizing the micro-services and using Kubernetes as a container orchestration system for automating deployments, scaling and management of containerized application

TECHNOLOGY COMPONENTS

AWS

  • AWS IAM

  • Amazon VPC

  • Amazon EC2

  • Amazon EC2 Elastic Load Balancing

  • Amazon S3

  • Amazon EBS

  • Amazon Route53

  • Amazon CloudFront

  • Amazon CloudWatch

  • Amazon AWS Config

  • AWS Lambda

  • AWS EKS

  • AWS ECS

  • Other Platforms: Splunk, HashiCorp Terraform, Python 2.x 3.x,  GitHub, Jenkins, Inspec Testing

THE APPROACH

Trianz adopted the following implementation approach in a phased manner:

  • Understanding the existing infrastructure

  • Migrating prospect services for Dev/QA environments from on-prem to the cloud (AWS)

  • Containerizing the micro-services and deploying them using Kubernetes clusters built from the scratch

  • Configuring Jenkins pipelines to build and deploy to micro-services on Kubernetes cluster

TRANSFORMATIONAL EFFECTS

  • Facilitated on-demand supply of the necessary infrastructure for Dev/QA teams to develop and test the scenarios. Users can run a Jenkins pipeline to build or deploy a micro-service, deploy the resources like S3 buckets, SNS, SQS, Lambdas, or deploy a fully functioning EKS (Kubernetes) cluster.

  • Users can easily create, update or delete the existing infrastructure within minutes with the help of Terraform automation.

  • Better performance with improved efficiency.

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