AWS Cloud Migration Services

The Infrastructure Inflection Point

Click to see what the same environment looks like before and after AWS migration.

Not a concept diagram. A representative snapshot of what we migrate away from and what we build. Click the card to flip between the two states.

Current state (before)

Click to flip

Manual server provisioning

6 weeks to deploy new capacity. Ops team fires tickets. Hardware sitting idle 60% of the time.

Single-region deployment

Full outage when the datacenter fails. RTO of 4 to 12 hours. No automated failover.

Monolithic application deploy

Every deploy requires a maintenance window. Teams dread release day. 2am rollback war stories.

Cost: fixed regardless of demand

Same OpEx at 5 users and 50,000 users. Over-provisioned always. Scaling requires procurement approval.

Pain metrics (typical)

6 wk

to provision new server capacity

4 hr

average recovery time from outages

60%

average server utilization (the rest is waste)

After AWS migration

Click to flip back

Terraform-managed EKS clusters

New capacity in 8 minutes via Horizontal Pod Autoscaler. All environments reproducible from repo.

Multi-AZ with automated failover

99.99% SLA. AZ failure transparent to users. RDS Multi-AZ and Route 53 health checks fire automatically.

Rolling deployments via CodePipeline

Zero-downtime deploys. Blue-green rollout with automated rollback on health check failure.

Pay for what you use, scale on demand

Reserved instances for baseline, spot for bursts, Lambda for events. 40 to 60% cost reduction in year 2.

AWS metrics (year 2)

8 min

to scale capacity via auto-scaling

0 hr

planned maintenance windows after migration

50%

infrastructure cost reduction with right-sizing

Click anywhere on the card to flip between states

AWS Migration Process

From discovery to production on AWS in 12 to 16 weeks. Click each phase.

Every workload follows the same 5-phase migration process. Each phase delivers something in your AWS account before the next one starts. Select a phase to see what it produces.

Phase 1 of 5 • Weeks 1-2

Discovery and migration readiness assessment

We catalog every workload: OS, runtime, dependency graph, network flows, data volumes, compliance requirements, and performance baselines. Every integration point is documented. The output is a workload migration profile and a prioritized migration backlog that prevents mid-project surprises.

🔍 Workload inventory (OS, runtime, deps)

🗺 Dependency graph per workload

📋 Migration backlog with wave plan

💰 AWS cost model per workload

Migration Readiness Report • Week 2 Deliverable

Workload inventory

WLapi-gatewayECS readyWave 1

WLpostgres-v12RDS readyWave 1

WLworker-serviceRefactor neededWave 2

WLfile-storageS3 readyWave 1

14 workloads assessed • Wave 1 starts Week 5

Phase 2 of 5 • Weeks 3-4

AWS Landing Zone build

A governed multi-account AWS environment is built before workload 1 moves. VPC design, subnet layout, IAM permission boundaries, security groups, CloudTrail logging, GuardDuty, and AWS Config rules are all in place and version-controlled in Terraform before migration begins.

🏗 Multi-account structure (prod, staging, dev)

🌐 VPC with public, private, isolated subnets

🔐 IAM, GuardDuty, CloudTrail, Config

📜 All resources in Terraform, zero click-ops

Terraform plan • Landing Zone

module "landing_zone" {

source = "./modules/aws-lz"

regions = ["us-east-1", "eu-west-1"]

enable_guardduty = true

enable_config = true

vpc_cidr = "10.0.0.0/16"

}

Plan: 47 to add, 0 to change, 0 to destroy.

Apply complete! Resources: 47 added.

Phase 3 of 5 • Weeks 5-12

Workload migration with parallel validation

Workloads migrate in wave order. Each workload runs in parallel on both environments during validation. Route 53 weighted routing shifts 5%, 25%, 50%, then 100% of traffic. A tested rollback is in place before any traffic shifts. Data migrations run dry-run first with byte-for-byte validation.

🔄 Parallel-run per workload before traffic shift

🏹 Route 53 weighted routing (5-25-50-100)

🔧 Tested rollback before production shift

Route 53 Traffic Routing

api-gateway traffic distribution

On-premises (source)0%

AWS ECS (target)100%

Wave 1 complete: api-gateway, postgres-v12, file-storage • 0 errors

Phase 4 of 5 • Weeks 13-14

AWS cost optimization and right-sizing

After 30 days in production, AWS Cost Explorer and CloudWatch data shows the real utilization profile. We right-size EC2 and RDS instances, purchase Reserved Instances for baseline load, configure spot for burst workloads, and set up AWS Budgets with spend alerts.

💰 Right-sizing from 30-day CloudWatch data

📈 Reserved Instance purchases for baseline

⏰ AWS Budgets and spend alerts configured

AWS Cost Explorer • Optimization

Before optimization

$8,400

monthly AWS spend

After optimization

$4,200

monthly AWS spend

50% cost reduction via right-sizing + Reserved Instances

Phase 5 of 5 • Weeks 15-16

Runbook delivery and team handover

Your team receives a complete Terraform codebase, architecture decision record, CloudWatch dashboard configuration, on-call runbook with incident playbooks, and a handover session. We do not disappear at go-live. The 30-day stabilization period catches edge cases your team was not exposed to during testing.

📜 Architecture Decision Record (ADR)

📊 CloudWatch dashboards and alert rules

📋 On-call runbook with incident playbooks

CloudWatch Dashboard • Post-migration

99.97%

Uptime (30d)

12ms

p99 latency

0

P1 incidents

All alerts green • Team handover complete • On-call runbook active

AWS Services We Migrate To

The right AWS service for each workload. Not the most familiar one.

Value stack · cloud engineer reviewing AWS console with EKS cluster map on large monitor

Cloud engineer reviewing an AWS EKS Kubernetes cluster topology and node-health dashboard on a large monitor in soft side window light

⎈

Container orchestration

EKS and ECS

We containerize workloads with Docker and orchestrate on Amazon EKS or ECS depending on your team's Kubernetes experience and workload requirements. EKS for complex multi-service applications; ECS for simpler container workloads without the operational overhead.

DockerHPAHelm

🗄

RDS and Aurora

Automated backups, Multi-AZ, read replicas, and point-in-time recovery — none of which you manage. RDS for standard workloads; Aurora for high-throughput applications that need MySQL or PostgreSQL compatibility at cloud scale.

0%

Multi-AZ SLA

Storage and CDN

S3 and CloudFront

S3 for object storage with 11 nines durability and lifecycle policies. CloudFront for global CDN with sub-10ms latency at edge. Static assets, user uploads, and media files all migrate to S3 before compute workloads move.

⚡

Serverless and queuing

Lambda and SQS

Background jobs, webhook processors, and event-driven tasks migrate to Lambda. SQS decouples services for resilience and burst handling. Pay per execution, no idle infrastructure costs.

🔄

CI/CD and IaC

CodePipeline and Terraform

AWS CodePipeline with CodeBuild for CI/CD. All infrastructure provisioned in Terraform. Environments are reproducible in under 15 minutes. No manual console changes in production.

Client Result

SaaS platform modernized on AWS EKS: monolith to microservices, zero unplanned downtime post-launch.

Deploy frequency after

0x

faster releases

From weekly to multiple deploys per day with zero-downtime rolling updates on EKS

Post-launch uptime

0%

unplanned downtime eliminated

Multi-AZ EKS cluster with automated failover and health checks from day one

Infrastructure costs year 2

0%

reduction vs year 1

Right-sizing, Reserved Instances, and spot for burst workloads driving ongoing savings

Proof · SaaS product team reviewing AWS EKS monitoring post-migration, all-green metrics

Product manager and lead engineer reviewing an all-green AWS EKS Kubernetes monitoring dashboard after migration in soft office light

SaaS / B2B PlatformAWS Cloud-Native Migration

A SaaS and B2B platform required modernization of a legacy monolithic application to improve scalability, reliability, and deployment speed. The existing monolith caused slow-release cycles, frequent outages, and limited scalability. Deployment processes were tightly coupled, making it difficult to introduce new features or scale reliably as usage increased.

The application was re-architected using a microservices design and containerized with Docker. Kubernetes on AWS EKS was implemented for orchestration, scaling, and service resilience. CI/CD pipelines were built to support automated testing, rolling updates, and zero-downtime deployments. Core services including APIs, authentication, and databases were refactored to support independent scaling and improved fault tolerance.

AWS EKSDockerCodePipelineTerraformMicroservices

Why Redefine for AWS Migration

Three things every AWS migration needs that most partners skip, and why teams choose our aws cloud migration services agency.

01

Landing Zone first

A governed AWS environment before workload 1 moves

Migrating without a Landing Zone creates governance debt that multiplies with every new workload.

We build the account structure, VPC design, IAM, CloudTrail, and Config rules before any workload migrates. Your AWS environment is governed from day one, not patched six months after go-live.

02

Terraform for everything

Zero portal-click resources in production, ever

A resource that was clicked into existence cannot be recreated reliably under pressure.

Every EC2, RDS, EKS cluster, S3 bucket, security group, and IAM role is in Terraform and version-controlled. Your environment can be reproduced from the repo in under 15 minutes. We enforce this from Sprint 1.

AWS development services →

03

Rollback before cutover

Rollback is tested and confirmed before production traffic moves

Most migration outages happen because the rollback plan was never tested.

We test the rollback path for every workload before shifting any production traffic. If the rollback cannot be completed in under 5 minutes, traffic does not shift. You validate the rollback, then we proceed.

All migration services →

Common Questions

What engineering leads ask an aws cloud migration services consultant.

An AWS cloud migration starts with a 2-week discovery and assessment that maps workloads, dependencies, and compliance requirements. A Landing Zone is built in your AWS account before any workload moves. Workloads migrate in priority order using parallel-run validation and Route 53 weighted routing for traffic cutover. See the 5-phase migration process above for a detailed view.

We migrate to EC2, EKS, ECS, RDS, Aurora, S3, Lambda, API Gateway, CloudFront, ElastiCache, and SQS depending on workload requirements. Service selection is documented in the architecture decision record before provisioning. We do not choose services based on familiarity bias.

Yes. All AWS infrastructure is provisioned using Terraform or AWS CloudFormation. No manual console resource creation in production. Every environment is reproducible from the repository. See the Landing Zone phase above for an example of the Terraform output.

We use parallel-run patterns where the source environment stays live throughout. Traffic is shifted incrementally using Route 53 weighted routing at 5%, 25%, 50%, then 100%. Each increment is validated before the next. A tested rollback plan is defined for every workload before production traffic moves.

An AWS Landing Zone is a pre-configured, governed multi-account AWS environment defining account structure, VPC design, IAM, security controls, and cost allocation before any workload migrates. Without a Landing Zone, workloads accumulate governance debt that is expensive to remediate at scale. We build the Landing Zone before migrating workload 1.

Book an AWS Migration Assessment

Hire AWS cloud migration services: tell us about your project.

We respond within two business days. No commitment. No pitch.

Form

48 hours

Response

100%

Terraform IaC

0

Portal click-ops

Tested

Rollback first

Related cloud and AWS services

🔄All Migration Services→🏗Cloud Migration Services→⚡Monolith to Microservices→🌎Azure Development Services→🔧Legacy Application Modernization→

AWS cloud migration services company that lands workloads in production. Not just in a plan.