LTK Soft

Cloud Computing

Cloud Migration: Complete Guide from Planning to Production

A step-by-step technical guide to migrating enterprise applications to the cloud without downtime, based on real-world experience. Examples use AWS; the same approach applies on Azure and Google Cloud.

LTK

LTK Soft Team

20 min read

Cloud migration

Cloud migrations fail in predictable ways: unclear goals, lift-and-shift without right-sizing, no rollback plan, and security bolted on at the end. Whether you're moving a simple website or a multi-tier enterprise application, the same patterns separate smooth migrations from expensive ones.

The good news: Cloud migration is no longer risky if you follow proven patterns. The bad news: Most companies make the same preventable mistakes that cost time, money, and sometimes result in catastrophic downtime.

This guide lays out a practical, technical roadmap you can follow. Whether you're migrating a single application or an entire data center, these patterns work.

Why Migrate to AWS?

The real reasons companies move (not marketing speak):

Cost Savings

  • • Average 40-60% reduction in infrastructure costs
  • • No capital expenditure (CAPEX)
  • • Pay-as-you-go eliminates waste
  • Example: $200K annual on-premise → $80-120K AWS

Scalability

  • • Scale up for Black Friday, scale down afterward
  • • Auto-scaling handles traffic spikes automatically
  • • No more buying servers 6 months in advance
  • • Handle 10x traffic without manual intervention

Reliability

  • • AWS uptime: 99.99% (4 minutes downtime/month)
  • • Typical on-premise: 99.5-99.7% (22-88 hours/year)
  • • Multi-AZ deployments for disaster recovery
  • • Automated backups and recovery

Security

  • • SOC 2-aligned, ISO 27001 certified, HIPAA- and PCI-DSS-compliant architectures
  • • Better security than most company data centers
  • • Automated security patches
  • • DDoS protection included

The 6 R's Migration Strategy

AWS's official migration strategies—choose the right approach for each application:

1. Rehost (Lift and Shift)

Move as-is to AWS without changes

When to use: Need to migrate fast, modernize later
Example: Physical server → EC2 instance
Timeline: Fastest (weeks)
Cost savings: 30-40%

2. Replatform (Lift, Tinker, and Shift)

Minor optimizations during migration

When to use: Want some cloud benefits without re-architecting
Example: Self-managed database → RDS
Timeline: Medium (1-3 months)
Cost savings: 40-50%

3. Repurchase (Drop and Shop)

Move to SaaS solution

When to use: Commercial SaaS exists for your use case
Example: On-premise CRM → Salesforce
Timeline: Medium (depends on data migration)
Cost savings: Variable

4. Refactor/Re-architect

Redesign for cloud-native architecture

When to use: Need scalability, performance, or modern architecture
Example: Monolith → Microservices + containers
Timeline: Longest (3-12 months)
Cost savings: 50-70% long-term

5. Retire

Turn off unused applications

When to use: Application no longer needed
Cost savings: 100% (for that app)

6. Retain

Keep on-premise for now

When to use: Not ready to migrate
Cost savings: N/A

Our Recommendation for Most Clients:

Start with Replatform (80% of apps), Refactor mission-critical apps (10%), Retire unused apps (10%).

Zero-Downtime Migration Techniques

For mission-critical applications, downtime isn't an option. Here are three proven patterns we use:

Pattern 1: Blue-Green Deployment

┌──────────────────────────────────────┐
│ BEFORE CUTOVER:                      │
│ Load Balancer → [Blue - Old System] │
│                  (100% traffic)      │
│                  [Green - AWS]       │
│                  (0% traffic)        │
└──────────────────────────────────────┘

┌──────────────────────────────────────┐
│ DURING CUTOVER:                      │
│ Load Balancer → [Blue - Old]        │
│              ↓  (20% traffic)        │
│              → [Green - AWS]         │
│                 (80% traffic)        │
└──────────────────────────────────────┘

┌──────────────────────────────────────┐
│ AFTER CUTOVER:                       │
│ Load Balancer → [Green - AWS]       │
│                  (100% traffic)      │
│                  [Blue - Old]        │
│                  (standby 48hrs)     │
└──────────────────────────────────────┘

Cost Optimization from Day One

Don't just "lift and shift" costs. These strategies save 30-50% immediately:

Right-Sizing

Most companies over-provision on-premise. Right-size in AWS:

  • • On-premise thinking: "We need 32GB RAM in case we need it"
  • • AWS approach: Start with 16GB, auto-scale if needed
  • Savings: 30-50%

Reserved Instances

On-Demand pricing:$0.096/hour
1-Year Reserved:$0.062/hour (35% savings)
3-Year Reserved:$0.037/hour (62% savings)

Worked Example: Cost Optimization

Initial AWS estimate:$15,000/month
After optimization:$8,500/month
43% savings ($78,000 annual)

Example Migration Scenarios

Illustrative scenarios showing typical architectures and outcomes — not specific client engagements.

Example 1: Healthcare SaaS Migration

Profile: Healthcare SaaS platform

Current: 3 on-premise servers, SQL Server

Users: 5,000 active users

Strategy: Replatform

Timeline: 12 weeks

Downtime: Zero

Architecture:

  • • Web: EC2 with Auto Scaling (2-6 instances)
  • • Database: RDS SQL Server (Multi-AZ)
  • • Storage: S3 for backups
  • • CDN: CloudFront

Typical outcomes:

  • 60% cost reduction ($120K → $48K annual)
  • 99.99% uptime (vs. 99.5% on-premise)
  • Page load time: 4s → 0.8s
  • HIPAA-eligible architecture

Example 2: Technology Platform Migration

Profile: Technology company

Current: Monolithic PHP app on 10 servers

Traffic: 100K visitors/day, peak 500K

Strategy: Refactor to containers

Timeline: 20 weeks

Approach: Blue-green deployment

Architecture:

  • • Containers: ECS Fargate
  • • Database: Aurora MySQL
  • • Cache: ElastiCache Redis
  • • CDN: CloudFront
  • • Images: S3 + Lambda (resizing)

Typical outcomes:

  • 70% cost reduction (by scaling down off-peak)
  • Handled 2M Black Friday visitors (4x previous peak)
  • Zero downtime deployments
  • Page load: 2.5s → 0.6s

Frequently Asked Questions

How long does migration take?

Simple app: 4-8 weeks. Complex enterprise system: 3-6 months. Depends on application size, complexity, and chosen migration strategy. Plan for 20-30% longer than initial estimates.

Will there be downtime?

With proper planning, downtime can be less than 5 minutes (just DNS cutover). For mission-critical applications, zero-downtime migration is possible using blue-green or canary deployment patterns.

How much does it cost?

It depends on the number of applications, data volume, and how much re-architecture is needed — we scope every migration with a cost baseline before work starts. Ongoing cloud costs are typically 40-60% less than on-premise, and total ROI is usually achieved within 12-18 months.

What if something goes wrong?

Always have a rollback plan. Keep old infrastructure running 30+ days after migration as backup. With blue-green deployment, you can switch back to old system in minutes if needed.

Do we need AWS expertise in-house?

Helpful but not required initially. An experienced AWS migration team like ours can handle migration and train your team. Post-migration, having 1-2 AWS-certified engineers on staff is recommended for ongoing operations.

Ready to migrate to the cloud?

As an AWS Partner Network member working across AWS, Azure, and Google Cloud, we plan migrations with a cost baseline and a rollback plan. Schedule a free cloud assessment to discuss your migration strategy and get accurate cost estimates.