Client Profile

Cassbana is a technology solution company that builds financial identities for underserved communities in Egypt through micro-lending, building a behavior-based scoring system, and making them the future data-based financial advisory collective.

Key Requirement

Cassbana was looking for a technology partner who could help migrate their Azure Cloud infrastructure to AWS Cloud concisely without downtime. They planned to control their overall cost, improve security, and scale their operations with fast deployment strategies.

High-level Challenges:

On-demand scale to meet the business growth Streamlined Infrastructure operations and security Establishment of a private connection from Cassbana to the vendor company While migrating their mission-critical Application to the AWS cloud, below are things to be considered,
  • AWS EC2 – To run the web services consumed by the Web Application
  • MYSQL database backup to be taken during non-business hours
  • RDS to be used for MYSQL databases
  • Databricks setup for ETL workloads
  • ECR is to be used to store all the container-based images
  • Application to be deployed behind the load balancer
  • EKS cluster setup for the deployment of microservices
  • API Gateway deployment to meet business requirements


Flentas provided a solution to Cassbana's need to migrate its Azure Cloud infrastructure to AWS Cloud quickly without downtime. Flentas proposed to engage with Cassbana to define the roadmap, plan, design, and execute the implementation plan, and work closely with them to deploy it on the AWS cloud.

  • The proposed solution for setting up the Application on AWS includes the following services:
    • AWS EC2 – To run the web services consumed by the Web Application
    • Load-Balancer – To load balance on multiple EC2 Instances
    • RDS MYSQL – To Setup the MYSQL database on RDS with read replicas in AWS by migrating them from Azure
    • Amazon VPC – To segregate the network between multiple environments and application tier
    • ECR – To store container images
    • EKS Cluster – To run and deploy several micro-services applications
  • Modernization of the Application to leverage object storage services by using fully managed AWS services like S3
  • The migration of Cassbana's existing API and business logic was carried out with the help of API Gateway and Lambda Functions, allowing for increased efficiency and cost-effectiveness
  • Migration of Data lakehouse using Databricks cluster setup in AWS for ETL workloads
  • We set up Cassbana's Data Analytics platform using various AWS services such as DynamoDB, Amazon Quicksight, Athena, and Glue. It allowed for better data analysis and insights
  • Planned the cutover for Cassbana applications and migrated their workload from Azure to AWS
  • Establishing site-to-site connectivity with respective vendors
  • Set up of basic monitoring system to alert the critical thresholds and Identify workload patterns

Components and Services

  • AWS EC2
  • Amazon Load Balancer
  • DynamoDB
  • ECR
  • EKS
  • Lambda
  • Glue
  • Amazon S3
  • Quick Sight
  • API Gateway
  • Databricks (Marketplace)
  • Application Load Balancer
  • CloudTrail
  • CloudWatch

Our Approach

  • The decision was made to use the AWS Ireland Region for hosting all AWS infrastructure resources
  • Each tier was further segregated into multiple subnets residing in each AZ available in the region for high availability setup
  • All the applications that support Active-Active setup were placed behind a load balancer
  • Azure Database dump has been taken and restored on the newly created RDS instance. Database users were created accordingly. A replica of the RDS instance was also created
  • Site-to-Site VPN connectivity setup was done, which is used for Applications calling the partner APIs and databases
  • Required docker images were also migrated from the Azure container registry to AWS ECR
  • AWS CloudWatch was used for monitoring and setting up alerts and logs for all metrics of the infrastructure
  • Databricks cluster setup was done from the AWS marketplace
  • To set up an Amazon EKS cluster for microservices applications, created an EKS cluster and launched worker nodes into it. Then configured the worker nodes to join the cluster and deployed microservices applications using Kubernetes Helm charts
  • Deployed a suite of AWS services to support data analytics use cases. It included AWS Glue, which is used for ETL (extract, transform, load) jobs to move and transform data into AWS data stores
  • We also used Amazon Quicksight as our business intelligence tool for data visualization and reporting. We utilized Amazon S3 as our primary data lake to store and manage our data. We leveraged Amazon Athena for querying data stored in S3 using SQL queries

Cutover Approach

  • API gateway was set up for all B2B applications, which allowed for forwarding the traffic to Azure endpoints
  • After the Infra setup was completed, a DB pipeline was created to migrate the data from Azure to AWS
  • After the App server setup got completed along with the necessary VPN connectivity, the Application was exposed via ALB
  • In the Maintenance window, the Backend URL was changed to AWS in the API gateway to ensure no downtime was required
  • For K8s services, cluster setup was completed first, and then one by one Application was deployed into the K8s cluster
  • After deploying the Application, the respective application database was migrated to AWS
  • Databricks cluster was setup from the marketplace, and Object storage data migrated to S3
  • DB – DMS Pipeline created for migrating data from Azure to AWS
  • EC2 – Application deployed manually on EC2, and data restored via S3
  • K8s – Services deployed in cluster manually
  • Jenkins - Pipelines were migrated separately, as it wasn't impacting migration

Measuring Success

Cloud Migration in less than two months Cassbana workloads were migrated to AWS and are live within two months.
Seamless Infrastructure Deployment Successfully deployed infrastructure components such as networking, database, compute, EKS cluster, and AWS services (S3, Lambda) using Terraform in a Non-Prod and Prod environment.
Databricks on AWS Successfully deployed all remaining Databricks components manually.
Rearchitected the data lakehouse solution Flentas had helped them rearchitect their data lakehouse solution to Databricks, data analytics solution using glue, Athena, quick sight, and SObject storage solution to S3.
Application and Infrastructure Monitoring AWS CloudWatch dashboards are made available to monitor all the applications. And SNS Subscriptions were created to notify the System of changes.

More Success Stories


Talk to our experts to discuss your requirements

Real boy icon sized sample pic Real girl icon sized sample pic Real boy icon sized sample pic
India Directory