Migrating Monolithic Application to Micro-services on AWS - Go Cloud

Migrating Monolithic Application to
Micro-services on AWS

DevOps & Solution Architecture

Amazon ECS, RDS

AWS CI/CD Pipeline

CloudFormation

Security Hub

Guard Duty, WAF

Overview

A Global Payment Company (Moneytos) was managing a monolithic application that posed significant challenges in maintenance and scaling. The monolithic architecture made frequent updates cumbersome and hindered scalability, leading to frequent downtime and revenue loss during peak traffic periods.

Problem

1.Monolithic Architecture:

A single codebase made maintenance difficult and slowed down updates.

2.Scalability Issues:

The monolithic application was not designed for horizontal scaling, limiting its ability to handle increased load.

3.Downtime:

Frequent downtime during peak traffic periods due to single points of failure impacted revenue.

Requirements

Scalability:

Ability to scale individual components independently based on demand. Resilience: Minimized downtime and improved fault tolerance to handle failures effectively. Agility: Faster and more frequent updates without risking the stability of the entire system. Solution

we proposed

We proposed transforming the monolithic application into a micro-services architecture to improve performance, Fault tolerance and Reduce downtime.

1.VPC (Virtual Private Cloud):

For creating an isolated network environment.

2.Subnets:

Both public and private to segment resources.

3.Internet Gateway & NAT Gateway:

For internet access and secure outbound traffic.

4.For internet access and secure outbound traffic:

Implemented to control inbound and outbound traffic.

5.CloudWatch & CloudTrail:

For monitoring, logging, and auditing activities.

6.AWS Config & AWS Cloudtrail:

For compliance and governance

7.For automatic threat detection and response.

For compliance and governance

1.ECS (Elastic Container Service):

For deploying and managing containerized application components.

2.Lambda:

For serverless micro-services where appropriate, providing scalability without managing servers.

3.DynamoDB & RDS:

For storing data used by different micro-services.

4.S3 & CloudFront:

For static content storage and delivery, improving performance.

5.CI/CD Pipeline:

For automating the build, test, and deployment processes.

Solution Implementation

1.Application Review:

Analyzed the monolithic application to identify key components and functionalities suitable for micro-services.

2.Containerization

Used Docker to containerize application components for deployment in a micro-services architecture.

3.Micro-services Design:

Split core functionalities into independent micro-services.

4.API Gateway Setup:

Configured API Gateway to manage communication between micro-services.

5.CI/CD Automation:

Implemented a CI/CD pipeline for automated deployment and integration of micro-services.

5.Deployment:

Used ECS for deploying and managing the micro-services, such as frontend and backend services..

Benefits

1.Agility:

Enabled faster updates and deployments through micro-services architecture.

2.Resilience:

Improved fault tolerance and reduced downtime, minimizing the impact of failures.

3.Scalability:

Each micro-service could scale independently based on demand, enhancing overall system performance.

4.Cost Optimization:

Leveraged serverless and containerized environments to pay only for the resources used, optimizing costs.

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