If the assessment is data, Terraform is one of its renderers. Map target architecture records to modules, keep human decisions in the assessment, and use Ansible for the parts Terraform should not own.
Level Up’s Executive Cloud Cost Management Practice helps you turn public cloud spend into a capital allocation decision you can explain, forecast, and govern. Show us your bill. We’ll show you five things you probably didn’t know about it.
Migration waves are a topological sort plus business constraints. Start from evidence-backed dependencies, isolate foundation services, and keep inferred edges out of the critical path until a human confirms them.
Wave planning fails when dependencies are interviews. Collect known edges from config and runtime, mark inferred edges as inferred, and refuse to hide the difference.
A migration inventory is not a CMDB export. It is evidence: OS, packages, listeners, storage, and enough facts to decide rehost versus replatform. Here is a playbook-shaped starting point.
The 7 Rs are only useful when each disposition becomes tasks, Terraform candidates, Ansible candidates, and a wave. Strategy without a backlog is still a slide.
Most AWS migration assessments still burn senior engineer hours on inventory, dependency collection, and backlog formatting. Those steps are mechanical. Architecture, risk, and cutover are not.
Five Things We Were Reminded About Red Hat® Satellite® During a Recent Client Engagement For many organizations, Red Hat Satellite enters the conversation as a repository and RHEL patch management platform. That's understandable because those are often the first problems Satellite gets asked to solv
Lessons from Modernizing Highly-Regulated Clients with Red Hat® Ansible Automation Platform® and Satellite® In Level Up's experience, enterprise automation projects rarely stall because of Ansible or any similar technology solution. Instead, many are delayed because organizations must first understa
Cloud Spend is a Capital Allocation Problem That Companies Still Prefer to Call… Almost Anything Else For roughly the first decade and a half of enterprise cloud adoption, most organizations were evaluating their success in the cloud almost entirely through an engineering lens: Did our cloud migrati