Cloud Migration Services

Plan, execute, and validate cloud migrations to AWS, Azure, or GCP -- 6-week median window for production workloads, with parallel-run validation and zero customer-visible downtime.

Cloud architecture migration diagram with deep navy and teal palette

Migration as an Engineering Discipline

Cloud migrations fail when they are treated as IT projects rather than engineering programs. We run them as the latter: detailed dependency mapping, infrastructure-as-code from day one, parallel-run validation against production traffic, and explicit rollback paths at every stage. Our typical migration playbook spans 6-12 weeks for a mid-stage company; the 6-week median assumes a single primary database, less than 50 microservices, and a willingness to commit engineering time to the cutover window.

We support all three major hyperscalers -- AWS, Azure, GCP -- and all four classic AWS migration patterns (rehost, replatform, refactor, repurchase). The choice depends on your runway, team operational depth, and exit conditions from your current environment. Most customers migrating from on-prem or a co-lo land on a replatform pattern (containerize, move to managed services, retire bespoke infrastructure) rather than pure lift-and-shift, because the operational savings justify the engineering effort. Customers already on one cloud moving to another typically refactor the differentiated workloads and lift-and-shift the rest.

Audit and compliance posture migrates with the workload. Every Terraform module is annotated with the SOC 2, HIPAA, or PCI DSS controls it satisfies. Cutover events are captured as change-management records in the same system that drives your audit evidence. The result is a migration that lands with control evidence already in place, not a six-month follow-on compliance project.

Cloud migration architecture diagram

Why Choose Our Cloud Migration Services

Engineering rigor, audit-ready process, and operational depth across cloud, SaaS, and software delivery

Predictable Timelines

6-week median migration window for production workloads with detailed dependency maps and parallel-run validation. No 'discovery phase' that becomes the migration.

Predictable Timelines

Zero Customer-Visible Downtime

Parallel-run patterns (DNS-weighted shifts, dual-write database, blue-green deployment) keep customer-facing services live throughout. Cutover failures roll back without customer impact.

Zero Customer-Visible Downtime

Cost-Optimized From Day One

Right-sizing, Reserved Instance / Savings Plan modeling, and FinOps tagging discipline applied during migration -- not retrofitted six months later. Typical 25-35% cost reduction vs naïve lift-and-shift.

Cost-Optimized From Day One

Audit-Ready Architecture

Every Terraform module annotated with the SOC 2 / HIPAA / PCI controls it satisfies. Cutover lands with compliance evidence in place, not as a follow-on project.

Audit-Ready Architecture

Our Cloud Migration Process

Discovery to steady-state in 6-12 weeks

1

Discovery & Dependency Mapping

Two weeks to map every service, dependency, network flow, and data store. Output: an architecture diagram and a migration wave plan that sequences workloads by risk and dependency.

2

Target Architecture Design

Weeks 2-3: design the target cloud architecture. AWS Well-Architected pillars, networking (VPC, Transit Gateway, PrivateLink), data tier (RDS, Aurora, DocumentDB), compute (EKS or ECS Fargate), observability (Datadog, CloudWatch), and security baseline (CIS Benchmarks, GuardDuty).

3

Infrastructure as Code

Weeks 3-5: Terraform modules for the target environment. Modules are versioned, reviewed in PRs, and tested in a non-prod replica of the target before any production traffic shifts.

4

Migration Execution

Weeks 5-8: workload-by-workload cutover with parallel-run validation. Database migration via DMS or native replication. DNS-weighted shifts for stateless services. Documented rollback at every stage.

5

Validation & Optimization

Weeks 8-12: post-cutover monitoring, right-sizing review against actual traffic patterns, Savings Plan / Reserved Instance modeling, and final compliance evidence collection. Old environment retired with documented evidence.

Naïve Lift-and-Shift vs. Engineering-Led Migration

Why how you migrate matters more than what you migrate

Cost Profile

Naïve Lift-and-Shift
30-50% higher than necessary; right-sizing happens 6 months later
Jacobian Services
25-35% reduction vs naïve approach by sizing during migration

Downtime

Naïve Lift-and-Shift
Multi-hour maintenance windows announced to customers
Jacobian Services
Parallel-run with DNS-weighted shifts; zero customer-visible downtime

Rollback

Naïve Lift-and-Shift
Reverse-migration if something breaks; can take days
Jacobian Services
Documented rollback at every stage; <1 hour to revert any wave

Compliance Continuity

Naïve Lift-and-Shift
Compliance project starts after migration completes
Jacobian Services
Controls and evidence migrate with the workloads

Operational Maturity Post-Cutover

Naïve Lift-and-Shift
Day 1 of the new environment is day 1 of operations
Jacobian Services
Day 1 inherits Datadog SLOs, IaC, runbooks, on-call rotation
Cloud Migration Playbook
Whitepaper

Cloud Migration Playbook

Read our cloud migration playbook -- 6Rs framework, parallel-run validation patterns, FinOps discipline during migration, and zero customer-visible downtime.

Read the whitepaper

Cloud Migration FAQs

What CTOs ask before they commit to a migration

Ready to Migrate to the Cloud?

Schedule a migration assessment with detailed dependency mapping and timeline.