Cloud infrastructure designed across hybrid and multi-cloud scenarios — aligned to workload economics and operational governance, not vendor defaults. We sequence cloud adoption. We don’t force-march it.
Most “cloud bills” are the result of decisions that were never governed.
Cloud economics are downstream of cloud architecture. Most enterprises discover this the hard way — through the invoice. Workloads placed against convenience instead of cost. Data gravity ignored until it showed up as egress charges. Services procured by engineering teams and accumulated into a sprawl that finance can’t reconcile.
We approach cloud as an architecture conversation, not a lift-and-shift conversation. Workload placement decisions are modeled against performance, cost, and regulatory reality — not against the vendor diagram. Multi-cloud and hybrid topologies are designed deliberately. Governance is built in from day one, not retrofitted after the FinOps fire drill.
The cloud sequence matters. We design the sequence.
On-premises, colocation, and cloud integrated as one workload platform. Data mobility, identity integration, and connectivity designed into the strategy from the start.
AWS, Azure, Google Cloud — chosen against the workload, not against a vendor relationship. Multi-cloud topology, interoperability, and portability engineered in.
The right tier for the right workload — performance, cost, and regulatory fit modeled against actual behavior. Data gravity anticipated before it becomes an invoice.
Identity, access, network segmentation, and policy enforcement — designed into the cloud footprint at day one. Governance catches up to sprawl — we don’t wait.
Structured workload migration, not big-bang lift-and-shift. Sequenced against business continuity, dependency mapping, and validated against performance under real load.
Cost modeled against workload patterns. Reserved capacity strategy. Egress and data-transfer modeled at the architecture layer. Optimization governed — not reactive.
Workload placement that reflects actual constraints — performance, data gravity, residency, cost curves, and the operational model your team can actually run. Cloud is a design decision, not a destination.
Workload portfolio modeled. Placement decisions validated. Multi-cloud or hybrid topology designed before any migration starts.
Cloud services procured against the architecture — AWS, Azure, Google Cloud, VMware Cloud, Red Hat OpenShift. Vendor follows the workload.
Migration sequenced. Dependencies mapped. Performance validated under load. Business-hours disruption minimized.
Identity, policy, cost, and capacity managed continuously. FinOps discipline built in — not bolted on after the first big invoice.
Our cloud practice spans the hyperscalers and the hybrid-platform ecosystem. AWS, Microsoft Azure, and Google Cloud for public cloud architecture. VMware and Red Hat for the hybrid and private-cloud foundation. NetApp and EverPure for storage-to-cloud integration.
The workload decides where it lives. We design for the workload.
Explore our partner ecosystem →A 30-minute consultation with a senior cloud practitioner. We’ll walk through the workload portfolio, the cost reality, and where we’d sequence the architecture work.
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