Kubernetes

Run Containers at Scale. Reliably.

We containerize your applications and deploy them on managed Kubernetes — with Helm charts, GitOps workflows, autoscaling, and the security hardening required for production workloads.

EKS, AKS, GKE
Managed K8s platforms
GitOps
Deployment model
35%
Avg. infra cost reduction

Application Containerization

Not every application containerizes cleanly. We assess, refactor where needed, and build production-ready Docker images with security and optimization built in.

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  • Docker image design with minimal attack surface
  • Multi-stage builds for optimized image sizes
  • Non-root user enforcement and read-only filesystems
  • Secrets management integration (Vault, Kubernetes Secrets)
  • Container registry setup: ECR, ACR, GCR, or Harbor

Kubernetes Cluster Engineering

We design and deploy production-grade Kubernetes clusters on EKS, AKS, or GKE — with networking, RBAC, monitoring, and autoscaling configured from day one.

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  • Managed K8s: EKS, AKS, GKE cluster configuration
  • Cluster networking: Calico, Cilium, and AWS VPC CNI
  • RBAC and namespace isolation for multi-team environments
  • Cluster autoscaler and Karpenter for node scaling
  • Pod disruption budgets and topology spread constraints

Helm Charts & GitOps

GitOps means your cluster state is always defined in Git — ArgoCD or Flux reconciles the cluster to match, eliminating manual kubectl commands.

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  • Helm chart authoring for all application workloads
  • ArgoCD and Flux for GitOps continuous deployment
  • Multi-environment promotion via Git branch and tag strategy
  • Automated image tag updates via Renovate or Flux Image Automation
  • Diff preview for cluster changes before apply

Kubernetes Security Hardening

Kubernetes has a large attack surface if not configured correctly. We implement the security controls required for production workloads.

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  • CIS Kubernetes Benchmark hardening
  • Pod Security Standards enforcement
  • Network policies for pod-to-pod communication control
  • OPA/Gatekeeper admission control policies
  • Runtime security with Falco for threat detection

What We Deliver

A comprehensive set of Kubernetes capabilities, designed to work together or independently.

Docker Containerization

Production-ready Docker images with multi-stage builds and security hardening.

Cluster Engineering

EKS, AKS, and GKE cluster design, deployment, and day-2 operations.

Helm Chart Development

Parameterized Helm charts for all application workloads with environment promotion.

GitOps with ArgoCD

GitOps deployment model ensuring cluster state is always version-controlled.

Cost Optimization

Right-sizing, spot instances, and autoscaling reducing Kubernetes infrastructure costs.

Security Hardening

CIS benchmark compliance, network policies, and runtime security monitoring.

35%
Infrastructure Cost Savings

Kubernetes cost optimization through right-sizing and autoscaling typically saves 30–40%.

10x
Deployment Density

Container workloads typically run at 10x the density of equivalent VMs.

CIS
Security Benchmark

All clusters hardened to CIS Kubernetes Benchmark with continuous compliance monitoring.

Why Choose InnovTen

We don't just deliver projects. We build partnerships that drive long-term outcomes.

Workload Isolation

Namespace and network policy isolation keeping teams and workloads cleanly separated.

Auto-Scaling

HPA and Karpenter automatically scale pods and nodes with demand — no manual intervention.

Security by Default

CIS benchmark hardening, pod security standards, and network policies from cluster creation.

Self-Healing Workloads

Kubernetes restarts failed pods, reschedules on failed nodes, and maintains desired state automatically.

Cost Efficiency

Bin-packing and autoscaling extract maximum utilization from your infrastructure budget.

GitOps Auditability

Every cluster change tracked in Git with full history of who changed what and when.

Our Delivery Process

How we approach every Kubernetes engagement, from first call to ongoing operations.

STEP 1

Containerization Assessment

Evaluate applications for containerization readiness and identify refactoring requirements.

STEP 2

Cluster Design

Design cluster architecture, networking, RBAC model, and autoscaling configuration.

STEP 3

Containerization

Build Docker images, Helm charts, and Kubernetes manifests for all workloads.

STEP 4

GitOps Setup

Deploy ArgoCD or Flux and migrate all workloads to GitOps-managed deployments.

STEP 5

Security & Optimize

Apply security hardening, set up cost monitoring, and hand over operational runbooks.

Kubernetes in Action

Real-world applications across industries we've delivered for.

E-Commerce

Monolith to Microservices on K8s

Decomposed monolith into 12 microservices deployed on EKS — independent scaling reducing infrastructure costs by 40%.

Software

Multi-Tenant SaaS on Kubernetes

Namespace-per-tenant Kubernetes architecture for a B2B SaaS product supporting 200+ tenants on a single cluster.

FinTech

GitOps Migration

Migrated all deployments from kubectl scripts to ArgoCD GitOps — every cluster change now tracked and auditable.

Media

K8s Cost Optimization

Right-sized workloads, implemented Karpenter, and switched to spot instances — 38% infrastructure cost reduction.

Frequently Asked Questions

Common questions about our Kubernetes services.

Kubernetes is overkill for single-service applications or very small teams. It pays off when you have multiple microservices that need independent scaling, multiple teams deploying independently, or need sophisticated deployment strategies (canary, blue/green). If you're not sure, we'll give you an honest assessment.

Match your cloud: EKS for AWS, AKS for Azure, GKE for GCP. GKE has the most mature Kubernetes implementation and Autopilot mode is excellent for reducing operational overhead. EKS has the broadest AWS service integration. AKS is the best value on Azure.

GitOps means the desired state of your cluster is declared in Git files, and a controller (ArgoCD or Flux) continuously reconciles the cluster to match. Benefits: full audit trail of every change, easy rollback, no direct cluster access required, and drift detection. kubectl commands leave no audit trail and can cause configuration drift.

Stateful workloads require StatefulSets, persistent volumes, and careful storage class selection. For databases, we generally recommend managed cloud services (RDS, Cloud SQL) over running databases on Kubernetes — the operational complexity isn't worth it unless you have a specific reason.

Ready to Get Started with Kubernetes?

Tell us about your project. We'll respond within 24 hours with a clear next step.