Cloud migration & platform engineering

Modern cloud foundations for the systems coming next.

Move with control, modernize with purpose, and give product and AI teams a secure platform they can operate confidently after launch.

DATA

APPS

OPS

Capabilities

More than moving servers.

A successful migration changes how software is secured, shipped, observed, recovered, and supported—not only where it runs.

Accounts, networks, identity, policy, secrets, logging, and reusable infrastructure patterns.

Rehost where practical; refactor where it improves resilience, velocity, or operating cost.

Secure model gateways, vector data, GPU workloads, inference services, and evaluation pipelines.

Self-service paths, infrastructure as code, CI/CD, environments, and safer release controls.

Least privilege, encryption, recovery planning, availability patterns, and operational readiness.

Logs, metrics, traces, service objectives, capacity insight, ownership, and cost visibility.

Migration path

Each phase produces a usable foundation, a validated workload, or a clearer operating practice. Cutover is a planned event, not a leap of faith.

Inventory workloads, dependencies, risk, usage, and the business reason for change.

Create the secure landing zone, delivery pipeline, observability, and operating model.

Migrate in controlled slices, validate behavior, and improve architecture where it pays back.

Harden runbooks, tune cost and performance, patch, support, and continue modernization.

Operating principles

Automation and clear interfaces reduce unnecessary platform lock-in.

Every critical workload ships with health signals and an owner.

Backups are tested, failure modes are understood, and cutovers can roll back.

Architecture choices include the full operational cost, not only compute.

Move with clarity