First Cluster or Fifth — Your Engineers Shouldn't Own the 2am Pager. We Do.
Whether you're deploying Kubernetes for the first time or running a multi-cluster production estate, KubeNiche provides 24/7 cluster operations, sub-15-minute P1 response, and GitOps-driven change management across AKS, GKE, OpenShift, and ROSA. Production-grade reliability from day one — no SRE headcount required.
Get a No-Obligation Cluster AssessmentK8s in Production Is a Full-Time Job — Whether You Have One Cluster or Ten
Running Kubernetes in production requires deep, continuous expertise: cluster autoscaling, GPU and accelerator scheduling for AI workloads, network policy management, storage class design, multi-tenant isolation, certificate lifecycle, and upgrade management. SMBs starting their Kubernetes journey face a steep learning curve with no margin for costly production incidents. Teams already running K8s hit the same wall when they try to scale — stale runbooks, developer on-call rotations, and reliability gaps that compound over time. KubeNiche fills that gap as your managed SRE partner from your first cluster provisioned, not after your first major outage.
What's Included
Core Capabilities
Greenfield Cluster Design & Hardened Provisioning
For SMBs deploying Kubernetes for the first time, we design and provision production-ready clusters from scratch — network topology, node pool architecture, RBAC baseline, admission controllers, storage class design, and observability stack. You start with a hardened, well-architected cluster, not a default configuration you'll spend years cleaning up. Available on AKS, GKE, OpenShift, and ROSA.
AKS, GKE, OpenShift & ROSA — Deep Platform Expertise
Platform-specific expertise across all four major managed K8s offerings — including Red Hat OpenShift on-prem and ROSA on AWS with Operator Lifecycle Manager (OLM) and OperatorHub. We know the platform-specific day-2 operations, upgrade paths, and managed add-on ecosystems that generic K8s knowledge misses.
Agentic AI & GPU Workload Optimisation
Tune clusters for LLM inference and Agentic AI — GPU/accelerator node pools (A100, H100, L40S), KEDA-based autoscaling for inference queues, time-sliced GPU sharing, and resource quotas for multi-tenant agent deployments. For SMBs adopting AI for the first time, we size and configure GPU infrastructure correctly before you commit to expensive reserved capacity.
24/7 Incident Response & On-Call Ownership
Sub-15-minute P1 response SLA. We own the on-call rotation, maintain your runbooks, handle escalations, and conduct post-incident reviews — so your engineers sleep through the night. For early-stage SMBs, this means never putting developers on a pager rotation in the first place.
GitOps Cluster Lifecycle Management
Flux and ArgoCD-based GitOps workflows for all cluster configuration — Helm releases, Kustomize overlays, network policies, and RBAC. Cluster upgrade management with zero-downtime node pool rotation. Certificate lifecycle automation with cert-manager. Policy enforcement with Kyverno or OPA Gatekeeper. Every change is a Git commit. Every rollback is a revert.
Observability Stack — Metrics, Logs & Traces
Full observability from day one: Prometheus + Grafana for metrics, Loki for log aggregation, OpenTelemetry for distributed tracing, and Alertmanager for intelligent alerting. SLO and error budget dashboards that give engineering and product leadership a shared reliability signal. For greenfield deployments, we wire observability in before the first workload runs — not after the first incident.
Starting fresh or stabilising an existing cluster — we've done both
Book a no-obligation cluster assessment. Whether you're provisioning your first K8s cluster or inheriting a production estate that needs SRE rigour, we'll review your architecture and scope the right managed engagement.
Book a No-Obligation Cluster Assessment