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On-Premises to AWS Cloud Migration with Spring Boot - Complete Enterprise Guide

Learn how to migrate enterprise applications from On-Premises to AWS using the AWS Migration Framework. Explore migration strategies, AWS Application Migration Service, Database Migration Service, networking, security, modernization, and Spring Boot migration best practices.



Introduction

Thousands of enterprises still run mission-critical applications in their own data centers.

Typical on-premises environments include:

  • Banking Core Systems
  • Insurance Platforms
  • ERP Applications
  • HR Systems
  • Manufacturing Systems
  • Healthcare Platforms
  • Java Monoliths
  • Oracle Databases

As businesses grow, maintaining physical infrastructure becomes increasingly expensive and complex.

Challenges include:

  • Hardware refresh cycles
  • Capacity planning
  • Disaster recovery
  • Security patching
  • High operational costs
  • Limited scalability
  • Slow deployments

Cloud migration addresses these challenges by moving workloads to AWS while improving scalability, reliability, and operational efficiency.


Why Migrate to AWS?

Imagine a bank operating:

  • 500 virtual machines
  • Oracle databases
  • Spring Boot applications
  • Kafka clusters
  • File servers
  • Active Directory
  • VMware infrastructure

Business problems:

  • Data center expansion costs
  • Hardware failures
  • Long provisioning times
  • Disaster recovery complexity
  • Peak traffic handling

After migrating to AWS:

  • Elastic infrastructure
  • Automated scaling
  • Managed services
  • Improved resilience
  • Faster deployments
  • Global availability

High-Level Migration Architecture

flowchart LR

ONPREM[On-Premises Data Center]

VPN[AWS Site-to-Site VPN / Direct Connect]

AWS[AWS Cloud]

ONPREM --> VPN

VPN --> AWS

AWS --> EC2

AWS --> RDS

AWS --> S3

AWS --> EKS

AWS --> Lambda

What is Cloud Migration?

Cloud migration is the process of moving:

  • Applications
  • Databases
  • Storage
  • Virtual Machines
  • Networking
  • Security
  • Monitoring

from an on-premises environment to AWS.

Migration can be:

  • Lift and Shift
  • Replatform
  • Refactor
  • Replace
  • Retire
  • Retain

AWS Migration Framework

AWS recommends a structured migration journey.

flowchart LR

Assess

-->

Mobilize

-->

Migrate

-->

Modernize

-->

Optimize

Migration Strategies (The 7 Rs)

1. Rehost (Lift and Shift)

Move the application without changing code.

Example:

VMware

↓

Amazon EC2

Fastest migration approach.


2. Replatform

Make small optimizations.

Example:

Oracle

↓

Amazon RDS Oracle

Minimal code changes.


3. Refactor

Redesign applications for cloud-native architecture.

Example:

Monolith

↓

Spring Boot Microservices

↓

Amazon ECS

Requires more effort but provides long-term benefits.


4. Repurchase

Replace legacy software with SaaS.

Example:

On-Prem CRM

Salesforce


5. Retire

Remove unused applications.


6. Retain

Keep applications on-prem temporarily.


7. Relocate

Move VMware environments to supported AWS VMware offerings with minimal changes.


AWS Migration Services

AWS provides specialized migration services.

Examples:

  • AWS Application Migration Service (MGN)
  • AWS Database Migration Service (DMS)
  • AWS Migration Hub
  • AWS DataSync
  • AWS Snow Family
  • AWS Transfer Family
  • AWS Application Discovery Service
  • AWS Elastic Disaster Recovery (DRS)

AWS Application Migration Service (MGN)

AWS MGN migrates physical and virtual servers.

Workflow:

flowchart LR
    SRC["Physical Server"]
    MGN["AWS MGN"]
    EC2["EC2 Instance"]

    SRC --> MGN --> EC2

Benefits:

  • Continuous replication
  • Minimal downtime
  • Automated testing
  • Cutover support

AWS Database Migration Service (DMS)

DMS migrates databases with minimal downtime.

Supported examples:

  • Oracle
  • SQL Server
  • PostgreSQL
  • MySQL
  • MariaDB

Example:

flowchart LR
    ORACLE["Oracle"]
    DMS["AWS DMS"]
    AURORA["Amazon Aurora PostgreSQL"]

    ORACLE --> DMS --> AURORA

DMS supports homogeneous and heterogeneous migrations.


Storage Migration

Options include:

  • AWS DataSync
  • AWS Snowball
  • Amazon S3 Transfer Acceleration
  • AWS Storage Gateway

Choose based on:

  • Data size
  • Network bandwidth
  • Downtime tolerance

Networking Migration

Hybrid connectivity options:

  • AWS Site-to-Site VPN
  • AWS Direct Connect
  • Transit Gateway
  • VPC Peering
  • AWS Cloud WAN

These enable secure communication between on-premises and AWS during migration.


Identity Migration

Identity options include:

  • Active Directory integration
  • AWS Directory Service
  • IAM Identity Center
  • IAM Roles
  • Federation

Avoid hard-coded credentials during migration.


Spring Boot Migration

Typical migration path:

flowchart LR
    SB["Spring Boot"]
    DOCKER["Docker"]
    ECS["Amazon ECS"]
    EKS["Amazon EKS"]
    SERVERLESS["Serverless Components"]

    SB --> DOCKER --> ECS --> EKS --> SERVERLESS

Possible targets:

  • Amazon EC2
  • Amazon ECS
  • Amazon EKS
  • AWS Lambda (Spring Cloud Function)

Database Modernization

Migration options:

Source Target
Oracle Amazon RDS Oracle
Oracle Amazon Aurora PostgreSQL (requires migration effort)
SQL Server Amazon RDS SQL Server
MySQL Amazon Aurora MySQL
MongoDB Amazon DocumentDB (compatibility considerations apply)

Application Modernization

Traditional architecture:

Load Balancer

↓

Web Server

↓

Application Server

↓

Oracle Database

Modern AWS architecture:

CloudFront

↓

API Gateway

↓

Spring Boot

↓

Amazon Aurora

↓

Amazon S3

Security During Migration

Protect workloads using:

  • IAM
  • Security Groups
  • Network ACLs
  • AWS WAF
  • KMS Encryption
  • Secrets Manager
  • CloudTrail

Security should be incorporated throughout the migration process.


Monitoring

Monitor migrations using:

  • Amazon CloudWatch
  • AWS CloudTrail
  • AWS Migration Hub
  • AWS Config
  • AWS X-Ray (application tracing)

Track replication health, cutover readiness, and application performance.


Enterprise Architecture

flowchart TD

CLIENT[Users]

CLIENT --> CLOUDFRONT[CloudFront]

CLOUDFRONT --> ALB[Application Load Balancer]

ALB --> ECS[Amazon ECS]

ECS --> AURORA[(Amazon Aurora)]

ECS --> S3[Amazon S3]

AURORA --> DMS[AWS DMS]

DMS --> ORACLE[(On-Prem Oracle)]

ORACLE --> DATACENTER[On-Prem Data Center]

Migration Phases

Assessment

  • Inventory applications
  • Identify dependencies
  • Estimate cost
  • Determine migration strategy

Planning

  • Landing Zone
  • Networking
  • IAM
  • Security
  • Compliance

Pilot Migration

Migrate a low-risk application first.

Validate:

  • Performance
  • Security
  • Monitoring
  • Backup
  • Recovery

Production Migration

Migrate applications in waves.

Typical order:

  • Development
  • Testing
  • Staging
  • Production

Optimization

After migration:

  • Right-size compute
  • Enable Auto Scaling
  • Adopt managed services
  • Optimize storage
  • Review costs with AWS Cost Explorer and AWS Compute Optimizer

Real-World Use Cases

Banking

  • Core banking modernization
  • Fraud systems
  • Payment gateways

Insurance

  • Policy administration
  • Claims platforms
  • Customer portals

Healthcare

  • Hospital management
  • Patient portals
  • Medical records

Manufacturing

  • ERP migration
  • Supply chain systems
  • IoT platforms

Retail

  • E-Commerce platforms
  • Inventory systems
  • Recommendation engines

On-Premises vs AWS

Feature On-Premises AWS
Infrastructure Customer Managed AWS Managed (for managed services)
Scaling Manual Elastic
Disaster Recovery Customer Designed AWS Services Available
Hardware Purchase Required Not Required
Global Deployment Limited Worldwide Regions
Innovation Speed Slower Faster

Migration Best Practices

  • Assess applications before migrating.
  • Choose the correct migration strategy (7 Rs).
  • Build a secure AWS Landing Zone.
  • Automate infrastructure using Infrastructure as Code.
  • Migrate databases with AWS DMS where appropriate.
  • Test every migration wave thoroughly.
  • Modernize incrementally instead of rewriting everything.
  • Monitor performance before and after migration.
  • Implement robust backup and disaster recovery plans.
  • Optimize cost after migration is complete.

Common Migration Challenges

Challenge Solution
Legacy dependencies Perform dependency mapping during assessment
Long downtime Use continuous replication with AWS MGN or DMS
Large databases Use phased migration and replication
Network latency Use Direct Connect or optimize connectivity
Application compatibility Validate in staging before production cutover

Complete Migration Workflow

flowchart LR

ASSESS

-->

PLAN

-->

MIGRATE

-->

VALIDATE

-->

CUTOVER

-->

MODERNIZE

-->

OPTIMIZE

Interview Questions

  1. What are the AWS migration phases?
  2. Explain the 7 Rs of cloud migration.
  3. What is AWS Application Migration Service (MGN)?
  4. What is AWS Database Migration Service (DMS)?
  5. When would you choose Lift and Shift over Refactoring?
  6. How would you migrate a Spring Boot application to AWS?
  7. What networking options connect on-premises to AWS?
  8. How would you minimize downtime during migration?

Summary

Migrating from on-premises infrastructure to AWS is more than moving virtual machines—it is an opportunity to modernize applications, improve resilience, reduce operational overhead, and accelerate innovation.

A successful migration strategy includes:

  • Comprehensive application assessment
  • Appropriate migration strategy selection (7 Rs)
  • Secure networking and identity integration
  • Automated infrastructure deployment
  • Database migration using AWS DMS
  • Server migration using AWS MGN
  • Incremental modernization to managed services
  • Continuous monitoring and optimization
  • Strong governance, security, and disaster recovery planning

For Spring Boot applications, AWS provides flexible deployment options including Amazon EC2, Amazon ECS, Amazon EKS, and AWS Lambda, enabling organizations to evolve from traditional architectures to modern cloud-native platforms at their own pace.


Congratulations!

You have now completed the CodeWithVenu AWS + Spring Boot Learning Path, covering AWS fundamentals, compute, networking, storage, databases, messaging, observability, analytics, AI/ML, serverless, security, and enterprise migration.

Continue exploring advanced topics such as:

  • Multi-Account AWS Organizations
  • AWS Control Tower
  • Landing Zone Accelerator
  • Multi-Region Architectures
  • Zero Trust Security
  • FinOps
  • Platform Engineering
  • Enterprise MLOps
  • AI Agent Architectures
  • Hybrid Cloud and Edge Computing
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