Cloud operations engineers monitoring live migration dashboard in dark atmospheric data center environment
Cloud Migration Services — AWS, Azure & GCP

Your Workloads Move to the Cloud.
Your Users Never Notice.

Cloud migration services for engineering teams that cannot tolerate downtime. We run the new cloud environment on live traffic before we decommission the old one. Your team receives a CI/CD pipeline, infrastructure as code, and observability stack on day one. No maintenance window. No dark weekend.

Zero user disruptions — verified on live streaming platformsAWS · Azure · GCPCI/CD pipeline included in every engagementFull code ownership on day one
The Infrastructure Gap Blocking Your Engineering Team

Every week on-premises costs you money you will not recover.

CTOs and VPs of Engineering have seen both columns. The left is why they call us. The right is what their teams operate after the migration closes.

Running on-premises today
Capacity planning locks you into 6-month procurement cycles
Hardware orders take months. By the time servers arrive, your traffic projections have changed. You over-provision or under-build.
Scaling takes a project and a rack order, not a config change
Peak traffic events expose the ceiling. Scaling requires infrastructure procurement, rack installation, and network configuration.
Disaster recovery lives in a binder nobody has tested since 2019
Disaster recovery plans exist. They were written in 2019. Nobody has tested failover since. Recovery time is unknown until it is needed.
Your team patches servers manually and tests fixes in production
Patch management is a monthly window. Emergency CVEs wait for the next maintenance cycle. No automated scanning in the pipeline.
You pay peak capacity costs at 3am on a Tuesday
You pay for peak capacity at 3am on a Tuesday. Idle hardware still draws power, still requires maintenance, still consumes real estate.
After cloud migration closes
Capacity scales in minutes. A config change, not a procurement request.
Auto-scaling policies respond to real traffic. Adding capacity takes a configuration update, not a procurement request.
Traffic spikes trigger auto-scaling before a single user notices
Load tests define the scaling policy. Traffic spikes trigger auto-scaling before users notice. No emergency war rooms.
Disaster recovery runs automatically every 30 days and produces a tested RTO
Automated failover tests run on a schedule. Recovery time is a measured number, not an estimate. Recovery time objective and recovery point objective are documented and proved.
Security scanning runs in every build. CVEs close in hours, not quarters.
Dependency vulnerabilities surface in the CI/CD pipeline build log. CVEs are closed in hours, not at the next maintenance window.
You pay for what runs. Costs drop 25 to 40 percent in the first 90 days.
Pay for what runs. Scale down outside peak hours. Reserved instances for predictable workloads. Spot instances for batch jobs.

Pain · IT team at overcrowded on-premises server room

Cloud operations specialist reviewing healthy post-migration CloudWatch monitoring dashboard, calm and satisfied, in a clean modern office
How We Plan Your Cloud Migration

Not every workload migrates the same way. Your strategy depends on what you run today and what you need it to do in the cloud.

Engineering leads running three workloads have different answers than a CTO moving 40. Click each strategy to see when it fits, what it delivers, and what your team operates when it is done.

Strategy 01
Rehost (Lift and Shift)
Move workloads to the cloud with minimal code changes. The fastest migration path for well-documented systems. Teams cut hardware, colocation, and maintenance contract costs within the first quarter. Typical timeline: 8 to 12 weeks.
Strategy 02
Replatform (Lift and Optimize)
Replace self-managed databases and servers with managed cloud services. Your code stays largely intact. The operational overhead drops significantly. One team we migrated eliminated $84,000 per year in DBA maintenance overhead by moving from self-managed Postgres to Amazon RDS Aurora.
Strategy 03
Refactor / Re-architect
Redesign applications as cloud-native. Microservices, containerized workloads, and serverless compute replace monolithic infrastructure. The upfront investment is higher. The long-term operational cost and scalability outcome is the strongest of the four approaches.
Strategy 04
Hybrid Cloud Bridge
Migrate in waves. Each wave is validated in production before the next starts. Legacy systems stay live until the cloud environment proves itself. Nothing is decommissioned on a schedule. It is decommissioned when it is safe.
Rehost Migration: Workload Inventory
WORKLOAD
SOURCETARGETSTATUS
Auth Service
VMware ESXAWS EC2Live
API Gateway
Bare MetalAWS EC2Validating
Postgres DB
Bare MetalRDS AuroraIn progress
Media CDN
AkamaiCloudFrontScheduled
Migration progress2 of 4 live
Replatform: Optimization Recommendations
Self-managed
PostgreSQL on EC2
Patching overhead: 8 hours/month
Managed service
Amazon RDS Aurora
Patching overhead: 0 hours/month
Annual savings estimate
$84,000DBA overhead eliminated
Refactor: Architecture Blueprint
Legacy monolith
Monolithic App Server
Single Postgres DB
Bare metal CDN
Cloud-native target
Kubernetes (EKS)
Aurora + ElasticSearch
CloudFront + S3
Hybrid Bridge: Traffic Routing Dashboard
65%
On-premises
35%
Cloud
Cloud percentage grows with each validated migration wave. On-premises decommissioned only after cloud is proven in production.
What Your Team Has on Migration Day

Five things delivered before your team logs into the cloud for the first time. Most vendors hand you one.

Assessment first
Cloud Strategy and Readiness Assessment

We map every workload, dependency, data flow, and compliance requirement before the migration plan is written. Each workload is classified as rehost, replatform, refactor, or retire. You receive a risk-ranked migration plan with phase-by-phase timelines and cost projections. No migration work starts without it. This is not a deliverable you receive 12 weeks in. It is the first thing we produce.

Zero user disruptions
Zero-Downtime Migration Architecture

We run the new cloud environment on live traffic before the old one is shut down. Real-time data replication and parallel traffic routing eliminate the cutover risk that causes maintenance windows. Your users complete their sessions. No one notices. We have done this for live streaming platforms and financial transaction systems.

Cost control
FinOps and Cloud Cost Optimization

We right-size every resource, plan reserved instance commitments, and route batch workloads to spot capacity. Most teams cut cloud spend by 25 to 40 percent within the first 90 days. FinOps governance is included in the migration, not sold as a separate engagement after the bill arrives.

Security and compliance built in
Security, Compliance, and Identity Architecture

We design IAM policies, VPC architecture, and encryption into the cloud environment before the first workload moves. Compliance-ready infrastructure for GDPR, SOC 2, PCI-DSS, and HIPAA is part of the architecture blueprint, not a review item at your first audit. Penetration testing and vulnerability scanning are included after migration closes.

SOC 2 readyGDPR compliantPCI-DSS architectureHIPAA-ready
CI/CD Pipeline — Included in Every Migration

Every migration includes a CI/CD pipeline. Your team ships code faster on their first day in the cloud.

Most cloud migration companies move your workloads. Your team still deploys the same way they did on-premises, six months later, after you hire another contractor. We build the full CI/CD pipeline as part of the migration. Not as an add-on you negotiate afterward.

Pipeline design and implementation
GitHub Actions, GitLab CI, or your preferred tooling. Every commit triggers the full pipeline.
Automated testing gates — no broken code reaches staging or production
Unit, integration, and smoke tests run before any deployment reaches staging or production.
Security scanning in every build — CVEs surface in hours, not at the next maintenance window
Dependency vulnerability scanning, container image scanning, and SAST checks run on every pull request.
Infrastructure as Code — every cloud resource is reproducible and version-controlled
Terraform or Pulumi defines every cloud resource. Environments are reproducible. No configuration drift.
GitOps deployment model — rollback is a one-line Git revert
ArgoCD or Flux syncs cluster state from Git. Rollback is a revert commit. Nothing is deployed manually.
Observability and alerting — your team knows about failures before users do
Metrics, logs, and distributed traces configured from day one. On-call playbooks delivered with the pipeline.
Get CI/CD Pipeline Included in Your Migration
The CI/CD infinity loop
Click any stage to see what ships inside it
💻 Code 🔨 Build 🧪 Test 🔧 Stage 🚀 Deploy 📊 Monitor
Code

Branch protection rules, required review approvals, and PR templates configured from day one. Feature flags and environment variable management set up before the first commit to the new cloud environment.

Tools configured
GitHub / GitLabBranch policiesFeature flagsSecrets management
Build

Containerized build environments ensure reproducible artifacts. Docker multi-stage builds minimize image size. Build cache configured for fast iteration.

Tools configured
Docker multi-stageGitHub ActionsBuild cacheECR / Artifact Registry
Test

Unit, integration, and smoke tests gate every pipeline run. Dependency vulnerability scanning (OWASP, Trivy) runs on every container image. Failed security scans block deployment to staging.

Tools configured
Jest / PyTest / Go testTrivy scanOWASP DependencySonarQube
Stage

Staging environment runs on production-equivalent cloud infrastructure. Environment parity eliminates the "works in staging, fails in prod" problem. Manual approval gate before production deployment.

Tools configured
Terraform workspacesK8s namespacesApproval gatesSmoke tests
Deploy

GitOps-driven deployment using ArgoCD or Flux. Cluster state is reconciled from Git. Rolling deployments with zero downtime. Automatic rollback on error rate threshold breach.

Tools configured
ArgoCD / FluxKubernetes rollingBlue/green deployAuto-rollback
Monitor

Metrics, logs, and distributed traces from day one. Dashboards pre-configured for key service health indicators. PagerDuty or OpsGenie on-call routing configured with escalation policies. Runbooks delivered with the pipeline.

Tools configured
Prometheus / GrafanaDatadog / SentryPagerDutyRunbooks
AWS, Azure, and GCP Migration

We migrate to AWS, Azure, and GCP. Provider selection is driven by your compliance, cost, and tooling requirements. Not by ours.

We do not have a preferred provider. We do not have a commercial arrangement that influences recommendations. The provider your team lands on is the one that fits your workloads, your compliance requirements, and your existing tooling stack.

Amazon AWS
EKS, RDS Aurora, CloudFront, Lambda
Microsoft Azure
AKS, Cosmos DB, Azure Functions, Active Directory
Google Cloud
GKE, Firestore, Cloud Run, BigQuery
Service category
AWS
Azure
GCP
Container orchestration
EKS
AKS
GKE
Managed database
RDS Aurora
Cosmos DB
Cloud Spanner
Serverless compute
Lambda
Azure Functions
Cloud Run
Infrastructure as Code
Terraform
Terraform
Terraform
Disaster recovery
Multi-region
Multi-region
Multi-region

Proof · Cloud operations team monitoring live migration

Cloud operations team monitoring live migration dashboard with calm focused expressions in modern office environment
Case Study — Enterprise OTT and Media Streaming Platform

Live production traffic migrated. Zero user disruptions. Zero data errors across six NoSQL systems.

Zero
user disruptions during migration of live streaming infrastructure
100%
real-time data consistency maintained across six NoSQL systems throughout the full migration window
$0
database maintenance overhead after serverless data pipelines replaced self-managed infrastructure on GCP
The organization

An enterprise OTT and media streaming platform running live production traffic across six NoSQL systems with high write volumes and complex schema dependencies. The platform could not schedule a maintenance window. A traditional cutover would have caused user-facing disruption and data inconsistency during the transition period. Both were unacceptable.

What we delivered
Zero-downtime architecture on Google Cloud Platform — live traffic routed to the new environment before the old one was shut down
Real-time CDC pipelines moved data from six legacy NoSQL databases to Firestore with no data loss and no write interruptions
Serverless data pipelines on GCP eliminated all database maintenance windows and reduced the infrastructure operations burden to zero
CI/CD pipeline and observability stack shipped on migration day — the team had monitoring and automated deployments from day one in the cloud
Expert's Take

The hardest part of this migration was not the data volume. It was the write contention during the parallel-run window. We captured every write to the legacy system, replicated it in real-time to Firestore, and validated consistency on a per-record basis before cutting over a single traffic percentage point. The client had six NoSQL systems, each with a different schema evolution history. Most vendors would have called for a maintenance window. We called for more observability.

Why Engineering Leaders Choose Redefine for Cloud Migration

Three commitments that separate a cloud migration engagement from a six-month project that ends with a maintenance window.

01
We migrate live workloads with zero user-facing disruption.

We run the new cloud environment on live traffic before we decommission the old one. Blue-green deployment and real-time CDC pipelines eliminate the cutover risk that forces a dark weekend. There is no maintenance window announcement. There is no email to users asking them to log out. We have completed migrations on live financial transaction systems and high-traffic SaaS platforms without a single production disruption.

02
The CI/CD pipeline is a first-class deliverable, not an afterthought.

Most cloud migration companies move your workloads. Your team still deploys the same way they did on-premises. Six months later you hire a DevOps contractor to build the pipeline. We deliver the full CI/CD pipeline, observability stack, IaC, and GitOps model before the migration closes. Your team ships code through an automated pipeline on their first day in the cloud.

See legacy modernization services →
03
Every migration is reversible. Nothing is permanent until it is proven.

Every migration phase is designed with a tested rollback path. If something unexpected happens in the cloud environment, traffic routes back to the original infrastructure without data loss. The rollback procedure is tested before the cutover is attempted. Not as a safety blanket. As a standard of practice that lets us run migrations without maintenance windows or fear.

Enterprise software services →
Questions Engineering Leaders Ask Before Engaging

What CTOs and engineering leads ask before engaging.

Cloud migrations typically run 8 to 24 weeks depending on the scope, number of workloads, and migration strategy. Lift-and-shift migrations of well-documented systems can complete in 8 to 12 weeks. Re-architecture engagements run 16 to 28 weeks. Every engagement starts with a 2-week assessment that maps every workload and produces a risk-ranked migration plan before any build work begins. See our pricing guide for phase-by-phase breakdown.
Yes. We design the migration so your users never notice the transition. The new cloud environment receives live traffic before we shut down the old one. Real-time change data capture pipelines and parallel-run architecture keep data consistent throughout. We have completed this on live streaming platforms and financial systems running thousands of transactions per minute.
We migrate to AWS, Microsoft Azure, and Google Cloud Platform. For organizations requiring multi-cloud resilience, we design multi-region architectures that distribute workloads across providers. Provider selection is driven by your compliance requirements, existing tooling, and cost profile. We do not have a default provider preference or a commercial arrangement that influences recommendations.
Yes. Every migration engagement includes full CI/CD pipeline design and implementation. We build the pipeline, not just configure a template. That includes automated build, test, and deploy stages, infrastructure as code in Terraform or Pulumi, and a GitOps deployment model. GitHub Actions and GitLab CI are the most common tooling choices, but we work with whatever your team already uses.
Cloud migration engagements typically run between $80,000 and $400,000 depending on workload count, migration strategy, compliance requirements, and CI/CD complexity. The assessment phase (weeks 1 to 2) is priced separately and produces the migration plan that informs the full engagement price. We scope before we quote. See our pricing guide.
Data security during migration follows a four-part protocol. First, all data in transit is encrypted using TLS 1.3. Second, at-rest encryption is applied to all storage targets before the first byte migrates. Third, real-time replication pipelines run with per-record consistency validation. Fourth, the migration does not proceed to the next phase until consistency checks pass. We have migrated healthcare data under HIPAA requirements and financial data under PCI-DSS using this protocol.
Yes. Every engagement includes a 30-day hypercare period after migration closes. Your team has a direct technical contact, not a support ticket queue. After hypercare, we offer ongoing managed support and cloud operations retainers. Some clients continue with us for DevOps operations. Others hand off cleanly to their internal team. Both outcomes are designed into the engagement from the start.
Is This the Right Project for Your Team?

We are direct about fit before any commitment is made.

🚀
Good fit
Your team runs production workloads on-premises. Infrastructure costs, scale limits, or maintenance cycles are slowing delivery.
Zero downtime is a requirement, not a preference. Your users cannot see a maintenance window.
You want CI/CD, IaC, and observability built alongside the migration. Not delivered six months later as a separate engagement.
Your engineering or architecture team has a lead who can make technical decisions quickly. Weekly migration reviews require that authority.
You have compliance obligations: SOC 2, GDPR, PCI-DSS, or HIPAA. You need those addressed in the architecture before the first workload moves.
🚫
Not a fit
The scope is below $80,000. Small workloads or personal projects do not need the process overhead we bring. You will pay for governance that does not apply.
You need migration complete in under four weeks. The assessment alone is two weeks. Skipping it removes the risk evaluation that prevents outages.
You are not ready to adopt Infrastructure as Code and CI/CD. Migrating without them captures less than 20 percent of the cloud benefit.
Your organization has no internal technical lead who can approve architecture decisions. We cannot move quickly without that authority on your side.

Not sure? Tell us your situation and we will tell you honestly whether migration makes sense right now.

Book a Technical Strategy Call

Tell us about your infrastructure. We will scope your migration.

We review every brief and respond within two business days. No commitment. No pitch. We scope before we quote.

Form
48 hours
Initial response to your brief
3 days
Scoped migration proposal delivered
Zero
User disruptions across all completed migrations
100%
Clients retain full code and IP ownership
Brief received.

A technical lead will review your infrastructure and send a scoped migration proposal within three business days. You will receive a direct contact, not a ticket number.

Get on a call with us to see how we can help you

Get a Quote