Managed FinOps PracticeManaged Agentic AI InfrastructureKubernetes SREAWS · Azure · GCP · OpenShift

Managed Cloud-Native Operations — Unified Kubernetes, FinOps & Hybrid Cloud for SMBs.

KubeNiche delivers CNCF-aligned Managed Cloud-Native Operations — Unified Kubernetes SRE, FinOps governance, Hybrid Cloud platform engineering, and Agentic AI Infrastructure — as a fully embedded, Agile-run ops team. Built for SMBs across financial services, insurance, credit unions, private lending, legal, manufacturing, logistics, and public sector — senior platform depth without the 12-month hiring cycle or $700K payroll.

Our Services

One Embedded Team. Every Discipline You Need.

Private lenders, credit unions, law firms, and manufacturing firms don't need a full internal ops department — they need the right partner. KubeNiche delivers every discipline as a single managed engagement, with senior engineers embedded directly in your team.

Core Practice

Managed FinOps & SaaS Cost Optimization

We operate your FinOps practice as a managed service — cloud spend governance, SaaS rationalization, AI token cost attribution, and chargeback reporting, all running continuously. Powered by Flexera One and our in-house FinOps CoPilot. Mid-market organisations typically recover 40–60% of wasted spend within 90 days.

Core Practice

Managed Agentic AI Infrastructure

We design and operate Kubernetes-native infrastructure for production Agentic AI — LiteLLM gateway, MCP server orchestration, vector store integration, GPU node autoscaling, and AI token cost attribution. Private lenders, law firms, and manufacturers get a fully managed Agentic platform on AKS, GKE, OpenShift, or ROSA without hiring a specialist AI infra team.

Managed Cloud Platform

We run your cloud platform end-to-end — Landing Zone design, multi-cloud monitoring, and 24/7 operations across AWS, Azure, and GCP. Your developers ship on a secure, compliant, cost-governed foundation. No dedicated cloud ops headcount required.

Platform Engineering by Augmentation

Senior Platform Engineers embedded directly into your team — owning IaC modules (Terraform, Ansible), CI/CD pipelines (Jenkins, GitHub Actions), Kubernetes operations, and developer tooling as a direct extension of your headcount. You get senior depth without the recruiting timeline.

Core Practice

Kubernetes SRE

We manage reliability for AKS, GKE, OpenShift, and ROSA — proactive capacity planning, sub-15-minute P1 response, GitOps-driven change management, and SLO/error-budget reporting your leadership can act on. 24/7 coverage, no on-call rotation for your team.

GitOps & DevSecOps Enablement

ArgoCD-first GitOps migrations, Helm-based DevSecOps enablement, policy-as-code (OPA, Kyverno), supply chain security (Cosign, SBOM), and runtime threat detection (Falco) — security and compliance baked into every release, not bolted on after.

By the numbers

40–60%
Average cloud cost recovered for clients within 90 days
< 15 min
P1 incident response SLA on managed Kubernetes clusters
5 disciplines
FinOps · SRE · DevSecOps · Platform Eng · Cloud Ops

Built for Teams Ready to Operate at Enterprise Scale

A private lending firm navigating OSFI compliance, a credit union modernising its core banking platform, a law firm running document AI on Kubernetes, a manufacturing firm digitising its supply chain — none of them can justify hiring a Kubernetes SRE, a FinOps analyst, a DevSecOps engineer, a cloud platform architect, and a platform lead. That's 5 senior roles, 9–12 months of recruiting, and well over $700K annually. KubeNiche delivers all five disciplines in a single embedded engagement — senior engineers inside your org, attending your standups, owning outcomes from week one.

  • Managed FinOps MSP — we operate your full cost practice, not just advise on it
  • Flexera One & FinOps CoPilot implementation partner — certified end-to-end lifecycle delivery
  • Platform engineering & IDP design on AKS, GKE, OpenShift & ROSA
  • DevSecOps automation — policy-as-code, SBOM, supply chain security, and runtime threat detection

Find out exactly where your cloud and AI spend is leaking

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