⎈ Service 03 of 08

Kubernetes
Consulting

From cluster design to production hardening — we manage the complexity of container orchestration so your teams don't have to. GitOps-driven, security-first, cost-optimized from day one.

99.99%
cluster uptime
50%
compute cost reduction
5x
deployment velocity
Kubernetes Architecture EKS / GKE / AKS Cluster Security Hardening GitOps with ArgoCD Service Mesh (Istio/Cilium) Karpenter Autoscaling Helm Chart Management Falco Runtime Security Kubecost FinOps Multi-cluster GitOps Pod Security Standards Kubernetes Architecture EKS / GKE / AKS Cluster Security Hardening GitOps with ArgoCD Service Mesh (Istio/Cilium) Karpenter Autoscaling Helm Chart Management Falco Runtime Security Kubecost FinOps Multi-cluster GitOps Pod Security Standards

Five pillars of consulting

Every layer of your kubernetes stack — engineered, automated, and hardened.

01 / CLUSTER DESIGN

Cluster Architecture & Design

Production-grade Kubernetes clusters designed for high availability, multi-tenancy, and operational simplicity — whether self-managed, EKS, GKE, or AKS.

  • Multi-AZ, multi-region cluster topology
  • Node pool design & autoscaling strategy
  • Managed Kubernetes: EKS, GKE, AKS
  • Cluster networking (CNI: Cilium, Calico)
  • Control plane hardening & etcd backup
  • Namespace strategy & multi-tenancy
02 / SECURITY 🔒

Kubernetes Security Hardening

Lock down your clusters end-to-end — from CIS benchmark compliance and pod security standards to runtime threat detection and supply chain security.

  • CIS Kubernetes Benchmark compliance
  • Pod Security Standards & Admission Control
  • Network policies & zero-trust segmentation
  • RBAC design & least-privilege enforcement
  • Runtime security: Falco, Tetragon
  • Image supply chain: Cosign, Notary, Kyverno
03 / GITOPS 🔄

GitOps & Continuous Delivery

Git as the single source of truth for cluster state. Every workload change is reviewed, approved, and deployed automatically — with full auditability and instant rollback.

  • ArgoCD & Flux GitOps implementation
  • Helm chart management & versioning
  • Multi-cluster promotion pipelines
  • Progressive delivery with Flagger
  • Automated drift detection & reconciliation
  • Environment-specific configuration management
04 / SERVICE MESH 🕸️

Service Mesh & Traffic Management

Add mutual TLS, intelligent traffic routing, and deep observability between services — without changing application code — using Istio or Cilium eBPF.

  • Istio & Cilium service mesh design
  • mTLS encryption between all services
  • Traffic shaping, A/B routing & canary
  • Service-to-service authorization policies
  • Gateway API & ingress management
  • eBPF-based network observability
05 / OBSERVABILITY 📊

Kubernetes Observability & SRE

Full-stack visibility into cluster health, workload performance, and application behavior — with SLOs, alerting, and runbooks that turn incidents into learnings.

  • kube-state-metrics & cAdvisor integration
  • Prometheus + Grafana cluster dashboards
  • OpenTelemetry distributed tracing
  • Log aggregation: Loki, Fluentd, Vector
  • SLO definition & error budget tracking
  • Runbook automation & incident playbooks

How we engage

A phased approach that fits into your existing workflow — no disruption, no guesswork.

01

Cluster Audit & Assessment

We start with a complimentary audit of your existing clusters — evaluating security posture, resource utilization, networking configuration, and operational maturity against production-grade benchmarks.

02

Architecture & Hardening Design

We design your target Kubernetes architecture — cluster topology, security controls, GitOps workflows, and service mesh — with a clear implementation roadmap.

03

Implement & Harden

We build, configure, and harden your clusters — integrating GitOps pipelines, network policies, RBAC, monitoring, and progressive delivery in 4–6 weeks.

04

Operate & Optimize

Post-implementation, we monitor cluster health, tune autoscaling, optimize costs with Kubecost, and evolve the platform with your team through continuous improvement sprints.

Explore capabilities

Drill into each domain — tools, techniques, and expected outcomes.

Cluster Design
Security Hardening
GitOps & CD
Service Mesh
Scaling & Cost

Production Kubernetes Cluster Design

A production Kubernetes cluster is more than a managed service — it's a set of architectural decisions around networking, node pools, control plane access, and multi-tenancy that compound over time. We get these right upfront.

  • EKS, GKE, AKS — managed and self-managed
  • Multi-AZ node groups with PodDisruptionBudgets
  • CNI selection: Cilium (eBPF), Calico, VPC-native
  • Private cluster with bastion / VPN access
  • Namespace hierarchy & multi-tenancy isolation
  • etcd backup, cluster upgrade automation
control plane (private endpoint)CONTROL
system node pool (reserved)SYSTEM
app node pool (Karpenter)APP
spot/preemptible pool (batch)SPOT
Cilium CNI + NetworkPolicyNETWORK

Kubernetes Security Hardening

A default Kubernetes cluster is not a secure Kubernetes cluster. We systematically harden every layer — from API server flags to runtime threat detection and supply chain integrity.

  • CIS Kubernetes Benchmark (kube-bench)
  • Pod Security Standards: Baseline / Restricted
  • OPA / Kyverno admission control policies
  • RBAC audit & least-privilege enforcement
  • Falco runtime threat detection rules
  • Image signing with Cosign & policy enforcement
image signing check (Cosign)SUPPLY CHAIN
admission webhook (Kyverno)ADMIT
RBAC & network policyAUTHORIZE
Falco runtime monitoringRUNTIME
compliance report generatedAUDIT

GitOps & Kubernetes Continuous Delivery

Pull-based deployment with ArgoCD or Flux means your clusters always reflect what's in Git — with automated sync, drift detection, and one-click rollback.

  • ArgoCD multi-cluster & ApplicationSets
  • Flux v2 with HelmReleases & Kustomizations
  • Progressive delivery: Flagger + canary analysis
  • Helm chart library & OCI registry
  • Automated drift detection & alerting
  • Environment promotion: dev → staging → prod
PR merged → image taggedGIT
ArgoCD detects image updateDETECT
canary deploy (Flagger)CANARY
metrics pass → promote 100%PROMOTE
Jira auto-closed + audit logTRACE

Service Mesh & Traffic Management

Add zero-trust service-to-service security, intelligent traffic routing, and L7 observability to your cluster — without modifying application code.

  • Istio installation, hardening & tuning
  • Cilium eBPF service mesh (sidecar-free)
  • mTLS for all pod-to-pod communication
  • AuthorizationPolicy & RequestAuthentication
  • Envoy traffic routing for A/B & canary
  • Kubernetes Gateway API & ingress consolidation
service A → Envoy sidecarSEND
mTLS handshake verifiedmTLS
AuthorizationPolicy checkAUTHZ
traffic split (canary 10%)ROUTE
service B receives requestRECV

Autoscaling & Cost Optimization

Right-size your Kubernetes workloads automatically — HPA for traffic spikes, VPA for resource efficiency, and Karpenter for just-in-time node provisioning that cuts compute costs by 40–60%.

  • Horizontal Pod Autoscaler (HPA) with KEDA
  • Vertical Pod Autoscaler (VPA) for right-sizing
  • Karpenter node provisioner with Spot strategy
  • Cluster Autoscaler for managed K8s
  • Kubecost for per-namespace cost allocation
  • Resource quota & LimitRange governance
traffic spike detectedTRIGGER
HPA scales pods (2→10)HPA
Karpenter provisions nodesNODES
Spot instance scheduledSPOT
scale-down → cost optimizedSAVE

Outcomes that move metrics

Real business results from engagements we've led — not estimates.

99.99%
cluster uptime achieved
50%
compute cost reduction
5x
deployment velocity increase
<5min
mean time to deploy
STANDARDS & FRAMEWORKS // CIS K8s Benchmark NSA K8s Hardening SOC 2 NIST SP 800-190 PCI-DSS HIPAA

Why NodeOps360

We don't just consult — we commit. Here's what that actually means for you.

Kubernetes-Native Experts

We're deep specialists — not generalists who add Kubernetes to a services list. Our team has shipped production clusters across financial services, healthcare, and high-scale SaaS.

🔒

Security-First Clusters

Every cluster we build passes CIS benchmarks out of the box. Security isn't an add-on — it's the default configuration from the first node.

💰

Cost-Optimized by Design

We instrument Kubecost and implement Karpenter with Spot strategies from day one — most clients see 40–60% compute cost reduction within 60 days.

🔄

GitOps-Driven Operations

We deliver clusters that operate themselves. ArgoCD or Flux handles all deployments — your team ships via Git, not kubectl.

📊

Full-Stack Observability

Every cluster we build ships with pre-configured Prometheus, Grafana, Loki, and OpenTelemetry — so you have visibility from day one, not six months later.

🎯

Production-Ready Handoff

We don't hand you a cluster — we hand you a production-ready platform with runbooks, SLO definitions, and a trained team ready to operate it.

Tools & technologies we master

Best-of-breed, proven at scale. We work with the tools your team already trusts.

MANAGED KUBERNETES
Amazon EKSGoogle GKEAzure AKSRancher
GITOPS & DELIVERY
ArgoCDFlux v2FlaggerHelmKustomize
NETWORKING & SERVICE MESH
IstioCiliumCalicoEnvoyGateway APILinkerd
SECURITY
FalcoKyvernoOPA / GatekeeperTrivyCosignkube-bench
SCALING & COST
KarpenterKEDAVPAKubecostCluster Autoscaler

Frequently asked

Should we use managed Kubernetes (EKS/GKE/AKS) or self-managed?+
For almost all organizations, managed Kubernetes is the right choice. The control plane is handled by the cloud provider, freeing your team to focus on workloads. We recommend EKS on AWS, GKE on GCP, and AKS on Azure — and we handle all the operational complexity on top of these foundations.
How long does it take to set up a production-grade Kubernetes environment?+
A production-ready cluster with GitOps, security hardening, observability, and autoscaling typically takes 4–6 weeks. If you have existing workloads to migrate, we plan this as additional waves following the platform foundation.
How can we reduce our Kubernetes compute costs?+
The biggest levers are right-sizing pods (VPA), using Spot/Preemptible nodes for stateless workloads (Karpenter), and eliminating idle capacity. We instrument Kubecost for per-namespace visibility and typically achieve 40–60% compute cost reduction within 60 days.
Is our existing Kubernetes cluster secure?+
Most clusters we audit have significant gaps: over-privileged RBAC, missing NetworkPolicies, no admission control, and default service account tokens exposed. We run a CIS benchmark assessment and deliver a prioritized remediation plan — and then fix it.
What is GitOps and why should we adopt it?+
GitOps means your cluster state is declared in Git and automatically reconciled by tools like ArgoCD or Flux. This eliminates manual kubectl operations, gives you a full audit trail, enables instant rollback via Git revert, and makes deployments reproducible and reviewable — exactly like application code changes.

Ready to run Kubernetes properly?

No sales decks. No fluff. Just a direct conversation about your container orchestration challenges and a complimentary cluster audit to get started.