Readiness & Portfolio Review
Architecture, reliability, cost drivers and operational maturity, ranked by business criticality, technical health and what each costs to keep as is. A practical plan.
Legacy systems, a stalled migration or a newly acquired stack usually mean paying to run more than you need. We work out what to move, fix or retire, then help your team run it.
AWS, Azure and Google Cloud partner
The costly failure isn't moving too slowly. It's modernizing the wrong systems in the wrong order, or losing what your people know during the handoff. We make the order of work decision-grade before anyone moves a workload.
While it waits: both environments keep running, end-of-life systems may need extended support, and the people who know the old stack are your only safety net. That cost lasts until someone decides the order of work.
Architecture, reliability, cost drivers and operational maturity, ranked by business criticality, technical health and what each costs to keep as is. A practical plan.
Account structure, networking, identity, guardrails, logging and backups. A foundation future work can build on without rework.
Rehost, refactor, containerize or retire, in an order set by business priority, from data center to AWS migration to post-deal consolidation.
Runbooks, documentation and hands-on enablement, so what your people know stays with your team after the deal and after we leave.
We name what's forcing the move: an acquisition, an end-of-life date, a cost spike or a stalled project.
We inventory both environments and rank workloads by business criticality, technical health and what each costs to keep as is.
We set the foundation, migration order and operating model with the people who will run them.
We migrate in phases, measure against the diagnosis and transfer runbooks and knowledge as we go.
75+ Years
Combined Hands-On Experience
250+
Successful Projects Delivered
70%
of clients bring us back for their next project
AWS, Azure and Google Cloud partner
Our engineers hold current certifications across AWS, Azure, Google Cloud, Kubernetes and Atlassian.
We inventory both environments, rank workloads by business criticality, technical health and what each costs to keep as is, then agree what to consolidate, move, fix or retire, and who owns each piece once it's live.
No. Some systems should be maintained or retired, not migrated. How much of what you run today are systems you have already decided to retire, and what are you still paying to keep them? We're an AWS, Azure and Google Cloud partner, so the recommendation follows the workload.
Fixed-fee, scoped deliverables once the question is clear. No open-ended hours: you know the price before work starts. The diagnostic can be scoped as its own piece of work before anything else.
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