Build on the Platform Your Business Actually Needs

We run a workload profiling session in Week 1 that covers your traffic patterns, data storage requirements, existing team expertise, compliance obligations, and growth trajectory. AWS tends to win for organizations with diverse service requirements and large engineering teams. Azure is the right choice for Microsoft-stack teams or companies running Dynamics 365. GCP is best for data-intensive applications with AI and ML workloads that benefit from BigQuery and Vertex AI. The recommendation is documented with a total cost of ownership model so you can challenge the reasoning.

Yes, and this is the most common engagement type. We start with a cloud architecture review that produces a prioritized list of improvements: IaC migration for manually provisioned resources, CI/CD pipeline modernization, IAM policy tightening, cost rightsizing, and observability gaps. We then execute improvements in sprints without disrupting running services. You can continue shipping features while we improve the foundation underneath.

Platform audits and remediation projects start at $12,000 for a four-week sprint. Full platform builds including IaC foundation, CI/CD pipeline, security posture, and observability stack range from $35,000 to $150,000+ depending on scope. Complex enterprise deployments with multi-account AWS organizations, EKS cluster setup, and full compliance frameworks are scoped specifically. Every engagement begins with a Discovery Sprint before any line-item pricing is agreed.

We support multi-cloud but we challenge the requirement first. Most multi-cloud architectures are the result of mergers, vendor lock-in anxiety, or organizational politics rather than genuine technical requirements. If multi-cloud is the right answer for your workload, we build abstraction layers that minimize provider-specific dependencies and design networking, identity federation, and data replication to work across providers. If single-cloud is adequate, we say so clearly rather than billing for unnecessary complexity.

Every platform build includes a structured handoff: architecture decision records, runbooks for common operational tasks, incident response playbooks, and a two-hour handoff call where your team takes ownership. For teams that want ongoing managed support, we offer SLA-based retainers covering incident response, patching, capacity management, and periodic architecture reviews. These are optional. You keep full platform ownership regardless.

Good platform discipline at the startup stage prevents the re-architecture tax at Series B. We calibrate complexity to your actual stage: a seed-stage product gets a lean Terraform setup, a simple GitHub Actions pipeline, and the security basics needed for SOC 2 readiness. We don't over-engineer. The goal is giving your founding engineers an infrastructure foundation they can grow into, not one they have to rip out at scale. A Discovery Sprint is $3,500 flat and gives you a specific architecture recommendation your team can execute with or without us.