Cloud Modernization
Migrate, refactor, and re-platform legacy workloads onto AWS, Azure, or GCP without breaking what already works.
Overview
Cloud migrations fail in predictable ways. Workloads get lifted into accounts with no guardrails, IAM ends up a sprawl of long-lived keys, and the FinOps bill arrives six months later with no owner. The technology is rarely the problem — the operating model around it is.
We start with the landing zone and the operating model, not with the first workload. Identity, networking, logging, tagging, and cost allocation get standardized before anything production-grade moves. Migration waves are scoped to deliver a measurable business outcome per wave, with cutover criteria and rollback procedures defined up front.
Where it makes sense, workloads get refactored — not for the sake of “cloud-native,” but because the legacy architecture is the root cause of the cost or reliability problem the migration was supposed to solve.