Cloud migration & modernization
Wave-based moves off legacy estates with minimal disruption—refactor only where economics justify it, rehost where speed wins.
Scalable, resilient cloud infrastructure and migration strategies across AWS, Azure, and Google Cloud—landing zones, modernization paths, and FinOps habits your operators can sustain.
The cloud your product runs on should be boring: predictable to deploy to, cheap to reason about, and quiet at 3am. We design and deploy scalable, secure, cost-aware foundations tailored to regulated workloads and real traffic patterns.
Wave-based moves off legacy estates with minimal disruption—refactor only where economics justify it, rehost where speed wins.
Architectures that blend providers or bridge on-prem without accidental complexity tax—clear ownership and egress discipline included.
Microservices, containers, serverless, and eventing where they earn their keep—paired with observability and CI/CD from day one.
Repeatable, reviewable infrastructure—Terraform, Bicep, CloudFormation—so environments stay aligned and changes stay auditable.
Identity boundaries, encryption, logging, and control mapping—implemented as guardrails in the platform rather than binders on a shelf.
Lift-and-shift or replatform data estates with integrity checks, performance baselines, and failover drills your DBAs sign off on.
We evaluate current infrastructure, applications, data gravity, and compliance obligations, then define a cloud strategy tied to measurable goals: resilience, cost envelopes, and delivery cadence.
Landing zones, networking, identity, secrets, and HA patterns are blueprinted per provider—AWS, Azure, or GCP—with parity notes where multi-cloud is deliberate.
Wave plans sequence dependencies, cutover windows, and rollback triggers—mock loads and data checks reduce surprise on go-live weekends.
We execute IaC rollouts, workload moves, and observability wiring, often alongside blue/green or canary paths so traffic shifts stay reversible.
FinOps reviews, rightsizing, reserved-capacity decisions, patch cadences, and DR rehearsals turn launch momentum into sustainable operations.
It depends on complexity and coupling. Focused estates can land in weeks; larger ones span months. We phase waves, proving connectivity, security, and rollback early, so business disruption stays bounded.
Under shared responsibility, providers harden the substrate while you own identities, data classification, and application controls. Done well, with encryption, logging, and least privilege, cloud stacks routinely exceed brittle on-prem sprawl.
Parallel environments, rehearsal cutovers, rollback scripts, and progressive traffic shifts (blue/green, canary) keep services reachable. We rehearse failure modes, not just happy paths.
We're platform-agnostic across AWS, Azure, and Google Cloud. Recommendations follow your stack, contracts, data residency, skill depth, and economics—sometimes multi-cloud is right; sometimes it isn't.
Right-sizing compute and storage, killing idle resources, smart use of savings instruments where ROI clears, autoscaling tuned to real load, tagging and chargeback visibility, and recurring FinOps reviews—so finance sees trends before invoices spike.
Share your estates, compliance boundaries, and targets—we'll propose a migration and operating model your teams can own.