Cloud Migration Checklist: A Step-by-Step Guide
DevOps January 2, 2026

Cloud Migration Checklist: A Step-by-Step Guide

Moving from on-premise to cloud? Here's everything you need to consider.

J

Jason Overmier

Innovative Prospects Team

Cloud Migration Checklist

Moving to the cloud isn’t just “lift and shift.” Done right, it’s an opportunity to modernize your infrastructure, improve reliability, and reduce costs. Done wrong, it’s a budget nightmare.

Pre-Migration Assessment

1. Audit Current Infrastructure

Document everything:

  • Servers: CPU, RAM, storage, OS versions
  • Databases: Type, size, replication setup
  • Network: Bandwidth requirements, firewall rules
  • Dependencies: Internal services, third-party APIs
  • Compliance: Data residency, security certifications

Tools: AWS Migration Hub, Azure Migrate, or manual spreadsheet.

2. Identify Migration Candidates

Not everything should move to cloud:

Keep On-PremiseMove to Cloud
Highly regulated data (some cases)Web applications
Legacy with no migration pathAPIs and microservices
Predictable, steady workloadsBursty/spiky workloads
Massive data transfer costsDevelopment/testing environments

3. Estimate Costs

Cloud can be cheaper or more expensive—it depends:

# Sample cost calculation (AWS)
EC2 (t3.medium): $30/month × 4 servers = $120/month
RDS (db.t3.micro): $15/month
S3 (1TB storage): $23/month
Data Transfer (1TB out): $90/month
---
Total: ~$248/month (~$3,000/year)

Don’t forget:

  • Data transfer fees (often overlooked)
  • Support plans
  • Reserved instance savings
  • Free tier limits

Migration Strategies

1. Rehosting (“Lift and Shift”)

Move applications as-is to cloud VMs.

Pros: Fastest, least risk Cons: No cloud benefits, potentially more expensive

Best for: Quick timeline, legacy apps

2. Replatforming

Make minor tweaks to optimize for cloud (e.g., use managed databases).

Pros: Some cloud benefits, moderate effort Cons: Still carries technical debt

Best for: Apps with clear optimization paths

3. Refactoring (Re-architecting)

Redesign for cloud-native patterns (microservices, serverless).

Pros: Maximum cloud benefits, scalable Cons: Slowest, most expensive

Best for: Modernization initiatives, greenfield

The Checklist

Phase 1: Planning (Weeks 1-2)

  • Set up cloud account with proper IAM roles
  • Create landing zone (networking, security baseline)
  • Define tagging strategy (cost allocation, environment)
  • Select target region (latency, compliance)
  • Calculate budget with buffer
  • Notify stakeholders of planned migration window

Phase 2: Setup (Weeks 2-3)

  • VPC and subnets (public/private)
  • Security groups/NACLs (least-privilege access)
  • Bastion host for secure SSH access
  • DNS setup (Route 53 or Cloud DNS)
  • SSL certificates (AWS Certificate Manager)
  • Monitoring and alerting (CloudWatch, Datadog)
  • Log aggregation (CloudWatch, ELK)
  • Backup strategy (AWS Backup, snapshots)

Phase 3: Data Migration (Week 3-4)

  • Classify data (public, confidential, regulated)
  • Plan data transfer method (VPN, Direct Connect, snowball)
  • Estimate transfer time (bandwidth limitations)
  • Set up replication (cutover preparation)
  • Verify data integrity (checksums, row counts)
  • Test rollback (if cutover fails)

Phase 4: Application Migration (Weeks 4-6)

  • Containerize apps (Docker) if using ECS/EKS
  • Create deployment pipelines (CodePipeline, GitHub Actions)
  • Configure auto-scaling (based on metrics)
  • Set up load balancers (ALB/NLB)
  • Configure health checks (failover routing)
  • Implement blue-green deployment (zero-downtime)

Phase 5: Testing (Week 6-7)

  • Functional testing (all features work)
  • Performance testing (load, stress tests)
  • Security testing (penetration testing, vulnerability scans)
  • Disaster recovery test (can we recover from failure?)
  • Cost review (are we on budget?)

Phase 6: Cutover (Week 8)

  • Final data sync (minimize downtime)
  • DNS cutover (low-traffic window)
  • Monitor metrics (errors, latency, costs)
  • Decommission old servers (after validation period)

Phase 7: Optimization (Ongoing)

  • Right-size instances (downsize over-provisioned)
  • Purchase Reserved Instances (for steady workloads)
  • Implement auto-scaling (reduce waste)
  • Review unused articles (delete stale volumes, snapshots)
  • Optimize storage (S3 lifecycle policies, EBS GP3)

Common Pitfalls

PitfallWhy It HappensFix
Ignoring egress costsData OUT is expensive, often overlookedUse CloudFront/CDN, optimize transfers
Over-provisioning resourcesEasy to spin up, hard to track usageImplement auto-scaling, regular rightsizing reviews
Neglecting security defaultsCloud accounts open by defaultEnable Security Hub, default-deny policies, MFA everywhere
Forgetting operational costsOnly estimated infrastructure, not opsFactor DevOps time into budget planning
No rollback planFocus on success, assume smooth migrationTest rollback procedures before cutover
Underestimating data transfer timeBandwidth limitations not consideredPlan transfers early, use physical shipment if needed
Skipping pilot testingTimeline pressure to launchRun brownout tests with partial traffic

Post-Migration: Day 2 Operations

Monitoring

Track these metrics:

MetricToolAlert Threshold
CPU utilizationCloudWatch>80% for 5min
Memory usageCloudWatch Agent>85% for 5min
Error rateApplication logs>1% for 5min
LatencyLoad balancer>500ms p95
CostCost Explorer>120% budget

Cost Optimization

Review monthly:

  • Unused articles (delete)
  • Idle load balancers (remove)
  • Unattached EBS volumes (delete)
  • Old snapshots (apply retention policy)
  • On-Demand vs Reserved (convert stable workloads)

Security Hygiene

  • Rotate credentials quarterly
  • Update IAM policies (remove unused access)
  • Patch AMIs (monthly)
  • Review security groups (remove overly permissive rules)
  • Enable GuardDuty (threat detection)

Tools Worth Considering

PurposeAWS ToolAlternative
Migration assessmentMigration HubAzure Migrate
Cost trackingCost ExplorerInfracost
SecuritySecurity HubPrisma Cloud
MonitoringCloudWatchDatadog, New Relic
LoggingCloudWatch LogsELK, Splunk
CI/CDCodePipelineGitHub Actions, GitLab

When to Get Help

Consider hiring experts if:

  • You’re migrating critical production systems
  • You have compliance requirements (HIPAA, PCI)
  • Your team lacks cloud experience
  • The timeline is aggressive
  • You’re unsure about architecture decisions

A failed migration can cost significantly more than expert help.


Planning a cloud migration? We’ve helped dozens of companies successfully move to AWS, GCP, and Azure. Let’s discuss your migration.

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