Cloud Migration & Modernization
We plan and execute cloud migrations that move your workloads without disrupting operations. Using the strangler fig pattern, lift-and-shift-then-optimize, or full re-architecture approaches, we migrate databases, applications, and infrastructure to the cloud while improving performance, reducing costs, and modernizing your tech stack along the way.
What is Cloud Migration & Modernization?
Cloud migration and modernization transforms on-premises infrastructure into cloud-native architectures using strategies like strangler fig migration for zero-downtime transitions. It covers database modernization from legacy systems to managed cloud services, multi-cloud cost modeling with TCO comparisons across AWS, Azure, and GCP, and right-sizing optimization for 30-50% cost savings.
Engineering Targets
Figures below are the benchmarks we design and test against on this type of build. They are targets, not a warranty — what your platform actually achieves depends on your data, scale and integration surface, and we agree the numbers that matter with you before work starts.
Why This Matters
Cloud migration is where architecture debt gets paid or compounded. Done as a re-platform, it buys elasticity and faster release cycles; done as a lift and shift, it usually moves the same costs to a new invoice. The sequencing decides which one you get.
What You Get
Capabilities
Strangler Fig Migration
Incrementally replace legacy components with cloud-native services — no big-bang cutover, no downtime, and rollback capability at every step.
Database Modernization
Migrate from Oracle/SQL Server to Aurora, Cloud SQL, or managed PostgreSQL with schema optimization, data validation, and performance benchmarking.
Cost Modeling
Detailed TCO comparison across AWS, Azure, and GCP — including reserved instances, spot pricing, and right-sizing recommendations for 30-50% savings.
Our Approach
How We Deliver
Assess & Plan
Inventory workloads, assess cloud readiness, and build a prioritized migration roadmap
Architect
Design target cloud architecture with networking, security, and compliance requirements
Migrate
Execute migration in waves with parallel running, validation, and rollback procedures
Optimize
Right-size resources, implement auto-scaling, and tune for cost and performance
Real-World Applications
Use Cases
Technology Stack
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FinOps & Cloud Cost Optimization
Reduce cloud spend by 30-50% with FinOps practices, right-sizing, and automated cost governance.
- Cloud cost visibility dashboards and reporting
- Automated resource right-sizing recommendations
- Reserved instance and savings plan optimization
Kubernetes & Container Orchestration
Production-grade Kubernetes clusters, service mesh, GitOps, and container platform engineering.
- Kubernetes cluster design and deployment (EKS, GKE, AKS)
- Service mesh implementation (Istio, Linkerd)
- GitOps workflows (ArgoCD, Flux)
Strategy Consulting
Tailored IT strategy aligned with your business goals for maximum digital impact.
- Business goal alignment with technology roadmap
- Technology stack assessment and recommendation
- Digital transformation planning
Common Questions
Frequently Asked Questions
What is the strangler fig pattern and why use it for migration?
It means routing traffic through a facade so capabilities move to cloud services one at a time while the legacy system keeps serving everything else. Each increment is small enough to validate and reverse, so there is no single cutover weekend on which everything must work. A legacy component is retired only once its replacement has run in parallel and the outputs match.
Can you migrate an Oracle or SQL Server database without rewriting the application?
Often, yes. Schema conversion tooling plus change data capture replicates into Aurora, Cloud SQL or managed PostgreSQL while the source stays live, and a compatibility layer absorbs dialect differences in stored procedures and queries. Where application code depends on vendor-specific features, we isolate those calls behind a data access layer first, then validate with row counts, checksums and performance benchmarks before cutover.
How do you decide between rehosting, replatforming and refactoring?
Per workload, not per portfolio. Rehosting suits stable applications where the goal is exiting a data centre by a deadline; replatforming fits systems that gain most from managed databases and load balancing; refactoring is reserved for workloads whose cost or scaling limits justify redesign. The assessment produces a cost of ownership comparison per workload, so the decision is priced rather than argued.
How is a cloud migration priced?
The assessment is quoted as a fixed-price piece of work and produces a workload inventory, a target architecture and a total cost of ownership model across the providers you are considering. Migration is then priced in waves, so you commit one group of workloads at a time. Ongoing cloud spend is modelled separately, covering reserved capacity, storage tiers and right-sizing, before anything is signed.
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