Platform engineering
Enterprise Cloud & AI Infrastructure.
We don't just build agentic AI; we engineer the high-performance, secure environments that run it. Deep Kubernetes and platform engineering expertise for scaling businesses.
Clusters
EKS · GKE · AKS
Engagement
Architecture reviews · retainers
Focus
Security · cost · reliability
Why infrastructure breaks first when AI scales
LLMs and agentic workloads are not a drop-in on a legacy footprint. Without deliberate platform design, teams hit predictable failure modes.
The problem
- Compute cost shock: bursty inference and embedding jobs overwhelm budgets tuned for steady-state web traffic.
- Security and data boundaries: prompt and document data cross networks your compliance model never approved.
- Latency and reliability: synchronous chains and tool calls amplify queuing, cold starts, and noisy-neighbor effects in under-provisioned clusters.
The platform engineering fix
High-fidelity platform work: identity-aligned namespaces, hardened nodes, policy-as-code, cost allocation that maps to teams and workloads, and runbooks that hold when traffic doubles. We harden and optimize your EKS, GKE, or AKS estates so agentic workflows run securely, reliably, and cost-effectively, with evidence your CFO and CISO can both accept.
Core capabilities
What we deliver on your cloud
Scoped engagements with clear technical outputs: designs you can implement, or hands-on build alongside your platform team.
Secure AI model hosting (BYOK)
Deploy inference and agent runtimes inside your own VPC and identity boundary. Bring your own keys, enforce network policy at the node and service mesh, and keep training and prompt data off shared SaaS paths your security team cannot audit.
Kubernetes orchestration
Production-grade EKS, GKE, or AKS: hardened node groups, workload identity, autoscaling that survives bursty agent workloads, and observability that shows where GPU and CPU time actually go when traffic spikes.
FinOps and cloud cost optimization
Real-time visibility into spend drivers, right-sizing, commitment strategy, and guardrails so model serving and batch jobs do not silently erase margin. We restructure estates with traceable savings, not slide-deck guesses.
Custom CRD integration
When your platform needs first-class APIs in-cluster, we design and ship custom resources, controllers, and admission policies so infrastructure matches how your product teams ship features, not how a default chart thinks you should.
Proof of competence
Engineered by the creators of Lumen.
We don't just use infrastructure tools; we build them. Our team is behind Lumen (Platform Lens), an intelligent Kubernetes IDE for operating complex clusters under real constraints. When you hire us to architect your AI infrastructure, you get the same product-grade engineering rigor we apply to enterprise developer tools: clear abstractions, defensible security choices, and shipping discipline, not slide templates.
Lumen demonstrates depth in the Kubernetes API surface, operator patterns, and day-two operations. That experience informs how we design your platforms, not the other way around.
Stop wrestling with YAML, shadow permissions, and bloated cloud bills.
Let's build AI infrastructure that actually scales: reviewed by leaders who ship platforms, not recycled audit checklists.
Prefer email first? info@sdsclick.io