01
Costs modeled up front
A workload-by-workload cost model before migration — no bill shock in month two.
Services — Cloud
To the cloud, without the surprises.
Landing zones, migration waves, and cutovers rehearsed until they are boring — to AWS, Azure, or Google Cloud, with costs modeled before you commit.
Why enterprises choose this service.
02
Security-first landing zones
Identity, network segmentation, and guardrails built before the first workload lands.
03
Rehearsed cutovers
Every migration wave has a rehearsal, a rollback plan, and an agreed maintenance window.
04
Optimize after arrival
Right-sizing, reserved capacity, and architecture tuning typically recover 20–40% of the initial run rate.
How we deliver.
Step 01
Assess
Inventory, dependency mapping, and a 6R disposition (rehost, replatform, refactor…) for every workload.
Step 02
Prepare
Landing zone with identity, networking, security guardrails, and cost governance as code.
Step 03
Migrate
Waves ordered by risk; rehearsals, cutovers, and validation with rollback ready at each step.
Step 04
Optimize
Post-migration right-sizing, cost tuning, and an operations handover or managed-service transition.
Technology we use.
AWSAzureGoogle CloudTerraformDockerKubernetesGitHub ActionsCloudWatchAzure Monitor
Frequently asked questions.
How long does a typical migration take?
Small estates move in 6–10 weeks; complex enterprise estates run in waves over 4–9 months. The assessment gives you a committed wave plan.
Will there be downtime?
For most workloads, cutovers fit in planned maintenance windows; for zero-downtime requirements we use replication and blue-green cutover patterns.
Which cloud should we choose?
We are partner-certified across AWS, Azure, and GCP and recommend based on your existing licensing, team skills, data gravity, and compliance needs — not our margins.
Can you fix our existing cloud costs?
Yes — cost-optimization engagements regularly recover 20–40% through right-sizing, storage tiering, and architectural fixes.
Related services.
In depth
Cloud migration measured in business continuity, not just cutover dates
A migration succeeds when users never notice and finance does. Our cloud migration practice moves workloads to AWS, Azure, and Google Cloud with disruption engineered out: discovery and dependency mapping first, wave planning by risk, rehearsed cutovers with rollback, and validation that performance and cost match the plan.
We are honest about the 6 Rs: some workloads rehost as-is for speed, others replatform to managed databases and containers, and the few that matter most may refactor for cloud-native economics. Landing zones come first — identity, networking, guardrails, and FinOps tagging — so migrated workloads arrive into governance, not chaos.
Post-migration, optimization is where value compounds: rightsizing, reserved capacity, and observability handed to your team or run by our managed services. Data estates get special care — our data warehousing team migrates analytics with parallel-run reconciliation, so reports never lie during transition.
Wave-planned, rehearsed
Dependency-mapped waves with dry-run cutovers — surprises happen in rehearsal, not production.
Landing zone first
Governance, identity, and cost guardrails ready before the first workload lands.
Value after cutover
Rightsizing and FinOps discipline that turn migration into savings.