Move to the cloud without disrupting your business.
Wave-based migration that validates every workload before cutover. Each application gets the right strategy — rehost, replatform, or rearchitect — and moves on a timeline your operations team controls.
Azure & AWS Migration
Full execution of on-premises to cloud migration on Azure or AWS. We handle compute, storage, networking, and identity — moving your environment to the cloud provider that fits your workloads and team.
Application Migration Strategies
Each application assessed and assigned the right approach: rehost for quick wins, replatform for managed-service gains, rearchitect for cloud-native performance. No blanket lift-and-shift.
Data Migration & Database Modernization
Schema migration, data replication, and cutover orchestration for SQL Server, Oracle, PostgreSQL, and NoSQL workloads. Continuous sync during migration ensures zero data loss at cutover.
Hybrid Cloud & Connectivity
VPN, ExpressRoute, or Direct Connect setup for hybrid scenarios. Secure connectivity between on-premises and cloud during migration and for workloads that stay hybrid long-term.
Migration Validation & Testing
Automated validation at every stage — functional testing, performance benchmarking, security scanning, and dependency verification. Each workload is proven working before traffic cuts over.
Post-Migration Optimization
Right-sizing, reserved instance planning, monitoring setup, and performance tuning after migration completes. Your cloud environment is optimized from day one — not left running at on-premises cost levels.
Migration Approach
Controlled Waves, Not Chaotic Cutovers
Every migration executes in validated waves. Each wave is proven working before the next begins — so risk is contained and your business stays operational.
Our Implementation Process
Discovery & Wave Planning
Workload inventory, dependency mapping, and migration wave sequencing. Each workload gets a migration strategy and a wave assignment based on risk, dependencies, and business priority.
Environment Preparation
Cloud landing zone setup: networking, identity, security baselines, monitoring, and IaC pipelines. The target environment is production-ready before a single workload moves.
Pilot Wave Migration
First wave of 2–3 lower-risk workloads migrated, validated, and running in production. Proves the migration approach, tests connectivity, and calibrates the team before higher-risk waves.
Production Waves
Subsequent waves execute in parallel streams. Each wave follows the same cadence: migrate, validate, cutover, confirm. Wave size increases as confidence builds and the process matures.
Optimization & Handover
Post-migration optimization: right-sizing, cost governance setup, monitoring dashboards, runbooks, and team enablement. Your operations team inherits a documented, optimized cloud environment.
Migrate Without Disrupting Operations
Wave-based execution with validated cutovers means production stays live throughout. Each workload has a tested rollback path — your users never experience an unplanned outage from migration activity.
Right Strategy for Every Workload
No blanket approach. Each application is assessed and migrated using the strategy that fits — quick rehost for commodity workloads, replatforming for managed-service leverage, rearchitecting for cloud-native performance.
Validated at Every Stage
Automated testing, performance benchmarking, and dependency verification run at every migration stage. Issues are caught and resolved before cutover — not discovered in production on Monday morning.
Optimized From Day One
Post-migration optimization is part of the engagement, not an afterthought. Right-sizing, reserved instances, monitoring, and cost governance are configured before handover — your cloud spend is controlled from the start.
Engagement Models
Migration Assessment & Wave Plan
- Full workload inventory and dependency mapping
- Per-workload migration strategy recommendation
- Migration wave sequencing
- Risk assessment and timeline estimate
- Landing zone architecture blueprint
Full Migration Execution
- Migration assessment (included)
- Landing zone setup and IaC pipelines
- Wave-based migration of 10–30 workloads
- Automated validation and cutover orchestration
- Post-migration optimization and right-sizing
- Team handover with runbooks and documentation
Ongoing Migration Support
- Continued wave execution for large estates
- Complex workload rearchitecting
- Database migration and data sync
- Performance tuning and optimization
- Cloud operations support and incident response
- Team mentoring and capability building
Frequently Asked Questions
How do you avoid downtime during migration?
We use a wave-based approach with validated cutovers. Each workload is replicated to the cloud environment and validated before traffic is switched. The cutover itself is orchestrated with a tested rollback path — if anything fails validation, traffic routes back to the source within minutes. At no point is a workload unavailable to users during migration.
How do you decide between rehost, replatform, and rearchitect?
During the assessment phase, each workload is evaluated against complexity, cloud readiness, dependency count, and business value. Rehosting fits cloud-ready workloads where speed matters. Replatforming applies when managed services offer clear operational or cost advantages. Rearchitecting is recommended only when the workload fundamentally benefits from cloud-native patterns and the investment is justified by long-term value.
What if we already have a cloud strategy or assessment?
We can start from your existing assessment. If you have a workload inventory and migration roadmap from a prior engagement, we validate it against our dependency mapping, confirm the wave plan, and move directly into environment preparation and migration execution. No need to redo work that is already sound.
How long does a typical migration take?
A mid-market migration of 10–30 workloads typically takes 12–20 weeks end-to-end including assessment, environment setup, wave execution, and optimization. Larger estates with 50+ workloads run as ongoing engagements. The assessment phase (3 weeks) produces a realistic timeline based on your specific workload count, complexity, and dependency structure.
How are databases migrated without data loss?
Database migration uses continuous replication during the migration window. We set up data sync between source and target, validate data integrity, and only cut over when the target is fully synchronized and tested. For complex databases, we use Azure Database Migration Service or AWS DMS with change data capture to maintain real-time sync until the final cutover window.
What happens after migration is complete?
Post-migration includes optimization (right-sizing, reserved instances, cost governance), monitoring setup (dashboards, alerting, incident routing), and a full handover package (runbooks, architecture docs, team training). You own the environment and documentation. You can operate independently, bring in your own team, or continue with us on a retainer for ongoing management.
Ready to move your systems to the cloud?
Book a 30-minute call. We will discuss your current environment, workload count, and migration drivers — and outline what a wave-based migration engagement looks like for your infrastructure.