YottaDynamics
Kubernetes Infrastructure
We provide kubernetes consulting and platform architecture for organizations moving AI and ML workloads from pilots into production — covering bare metal Kubernetes, cloud, hybrid, and kubernetes for financial services deployments. The focus is on building a foundation that supports demanding compute, scales predictably, and gives your team a clean operating model — not just a cluster that runs today.
Declarative cluster management with Cluster API, GitOps-driven lifecycle using Flux or ArgoCD, and version-controlled infrastructure that supports repeatable provisioning, automated upgrades, and self-healing behavior.
Cluster topology, networking (Calico, Cilium, or Multus), storage orchestration, and multi-cluster patterns shaped by your workload profile, compliance requirements, and operational constraints — not a generic template.
Infrastructure-as-code with Terraform, Crossplane, or Pulumi paired with GitOps delivery so every change is auditable, rollbacks are safe, and Day 2 operations don't require manual intervention.
Recovery-friendly infrastructure using Ansible for configuration and remediation, combined with Kubernetes-native health management, so failed components can be rebuilt from known-good state without manual intervention.
RBAC, network policies, runtime security, audit logging, and image scanning designed in from the start — with alignment to HIPAA, FINRA, GDPR, SOC 2, or FedRAMP requirements where needed.
GPU-aware scheduling, right-sizing, autoscaling, and cost-aware capacity decisions so AI inference and training workloads can grow without re-architecting the platform later.
Book a 30-minute discovery call. We'll look at your current infrastructure and tell you exactly what needs to change.