Infrastructure Architecture & Systems Design
Cloud, hybrid, bare metal, or self-hosted — systems designed around your actual workflows, with capacity, cost, and failure modes decided on paper before they cost you in production.
BP Data designs, builds, and operates the infrastructure behind your software — from bare metal to Kubernetes — so your team ships ideas, not tickets.
One system, four movements — designed, connected, tested by failure, and strengthened by it. This is the operating loop behind every engagement.
Architecture first. Every system begins as a precise drawing — boundaries, dependencies, and failure domains decided before a single server exists.
Every engagement is scoped around outcomes — faster delivery, fewer incidents, lower spend, and systems your team can actually reason about.
Cloud, hybrid, bare metal, or self-hosted — systems designed around your actual workflows, with capacity, cost, and failure modes decided on paper before they cost you in production.
Cluster design, provisioning, upgrades, and day-2 operations for container platforms — including Nomad cluster hosting — run calmly at any scale.
Bitbucket, GitHub Actions runners, N8N, Mage AI, Proxmox, and the rest of your internal platform — deployed, secured, kept current, and off your team's plate.
Pipelines and internal platforms that collapse the distance between commit and production — safely, repeatably, and without tribal knowledge.
Troubleshooting, production support, and post-incident hardening. Recovery is the floor — the goal is making the same failure impossible twice.
Rigorous usage analysis, rightsizing, and capacity strategy. Most platforms carry meaningful waste — we find it without sacrificing performance.
Accurate maps of how your systems actually connect — dependencies, bottlenecks, and single points of failure made visible, then actionable.
AI applied where it earns its keep — faster troubleshooting, automated runbooks, and internal tooling that reduces operational toil. A tool in the kit, not the product.
Source, delivery, orchestration, and state — one observable path from commit to production. Internal platforms run beside your applications, not in their way.
Review the current systems, workflows, constraints, and goals — as they actually are, not as the wiki says.
Diagram dependencies, surface bottlenecks, and agree on a target architecture everyone can point at.
Implement infrastructure, automation, and platform improvements in small, reversible steps.
Harden reliability, observability, cost efficiency, and documentation for the long run.
Representative starting points, not quotes — every scope is set together after discovery.
Assessment · one-time
Ongoing operations
Fixed scope · defined outcome
Infrastructure needs, platform improvements, cost review, migrations, reliability — bring the problem. No commitment required.