Cloud migration and landing zones
Enterprise-scale Azure landing zones and structured migration waves, with rollback-safe cutovers and no data loss.
We design, migrate, and operate Azure, AWS, and hybrid workloads end-to-end, then run them so your teams stay focused on the business, not the infrastructure.
Enterprise-scale Azure landing zones and structured migration waves, with rollback-safe cutovers and no data loss.
Well-Architected designs across compute, network, and data, codified as Bicep and Terraform so every environment is reproducible and audit-ready.
Right-sizing, reservation strategy, and a monthly FinOps cadence with named owners, for predictable spend ahead of every budget cycle.
Named senior engineers per workload, never pooled. Monitoring, patching, and incident response around the clock.
Select a phase to see what happens, who's involved, and what you walk away with.
We inventory your estate, map dependencies, and benchmark current spend and risk. You get a clear-eyed readiness report, what moves, what modernizes, what retires, with a costed roadmap before a single workload moves.
We design the target environment to the Well-Architected Framework and codify it as infrastructure-as-code. Landing zones, network, identity, and guardrails are built once, reviewed, and reproducible, so security and governance are baked in, not bolted on.
We move in controlled waves with rollback-safe cutovers and named recovery owners. Legacy workloads are refactored to managed services where it pays off, and every wave is validated before the next one starts, no big-bang risk.
We run it 24×7 from our NOC with named senior engineers, a 15-minute P1 acknowledgement, and a monthly FinOps and optimization cadence. The environment keeps getting cheaper and more resilient, reported, not assumed.
Vendor-agnostic and certified across the major clouds, including as a Microsoft AI Cloud Partner. We design, migrate, and operate on Azure, AWS, and Google Cloud, chosen for fit, not fashion.
Microsoft Azure
Amazon Web Services
Google CloudA 4,200-seat federal department wanted spend predictability. We right-sized 3,400 idle resources, refactored five legacy SQL workloads to managed instances, and stood up a monthly FinOps cadence, all aligned to PROTECTED B.
Read the full case study →A focused call with a senior cloud engineer, no SDR script, no slideware. We will talk through your estate and what good looks like.