Netofficials designs, deploys and manages Kubernetes clusters on EKS, AKS and GKE for engineering teams in the US, UK and Australia — covering cluster setup, Helm packaging, autoscaling and container orchestration services from day one to ongoing operations.
Service Overview
Kubernetes is a container orchestration platform that schedules containers across a cluster of nodes, manages horizontal and vertical scaling, self-heals failed pods, handles service discovery, and controls how workloads communicate — giving engineering teams a consistent, programmable runtime for production applications at any scale.
Netofficials provides Kubernetes services across the full engagement lifecycle: cluster architecture and provisioning, workload migration from Docker Compose or bare-VM deployments, Helm chart development, CI/CD and GitOps integration, and ongoing monitoring with Prometheus, Grafana, and Alertmanager. Work is delivered on the three major managed platforms — EKS (Amazon Elastic Kubernetes Service), AKS (Azure Kubernetes Service), and GKE (Google Kubernetes Engine) — and infrastructure is codified using Terraform infrastructure provisioning.
Kubernetes is the right choice when a team needs to run multiple services independently, scale individual components under variable load, or enforce consistent deployment and rollback behaviour across environments. Teams running a single application with predictable traffic may find a simpler setup sufficient. Netofficials scopes each engagement to match actual operational requirements rather than defaulting to maximum complexity. For teams earlier in the containerisation journey, see our Docker containerisation services.
What We Deliver
Netofficials designs and provisions Kubernetes clusters on EKS, AKS, or GKE from the ground up. Work covers VPC networking, namespace design, ingress controller configuration, and RBAC policies that control which teams and workloads can access which resources. This is the right starting point for teams moving from Docker Compose or a single-server setup to a production-grade cluster.
Netofficials packages your applications into versioned Helm charts so every deployment across development, staging, and production environments follows the same repeatable process. Charts are structured to support environment-specific value overrides, making rollbacks and upgrades predictable. Teams that manage multiple microservices benefit most from this standardisation.
Netofficials configures Horizontal Pod Autoscaler to scale pods based on CPU, memory, or custom metrics, and Vertical Pod Autoscaler to right-size resource requests over time. At the node level, Cluster Autoscaler or Karpenter provisions and removes nodes in response to pending workloads. The right combination depends on workload patterns, traffic variability, and cloud provider.
Netofficials deploys Prometheus to scrape kube-state-metrics and application endpoints, builds Grafana dashboards covering cluster health, pod status, and resource utilisation, and configures Alertmanager to route alerts to the right channels. Alert thresholds and dashboard scope are defined during the engagement based on your SLOs and on-call structure.
Netofficials integrates Kubernetes deployments into existing CI/CD pipelines and sets up ArgoCD for GitOps-based continuous delivery. Changes to application manifests or Helm chart values in a Git repository trigger controlled, auditable deployments to the cluster. This suits teams that want a single source of truth for cluster state without manual kubectl commands in production.
Netofficials applies RBAC configurations that follow least-privilege principles, defines Kubernetes network policies to restrict pod-to-pod traffic, and can layer Istio service mesh controls for mTLS between services. Security scope is determined by compliance requirements, the number of teams sharing a cluster, and whether workloads handle sensitive data.
Our Process
Netofficials reviews your existing workloads, traffic patterns, and multi-tenancy requirements. Your engineering lead joins a structured discovery session covering network topology, node pool strategy, and namespace boundaries. You receive a written architecture decision record before any infrastructure is provisioned.
The agreed architecture is codified in Terraform modules targeting EKS, AKS, or GKE. Every resource — VPCs, node groups, IAM roles, and RBAC policies — is version-controlled and reproducible. Your team receives the full Terraform state and can re-run provisioning independently from day one.
Netofficials audits existing container images and Docker Compose definitions, authors Kubernetes manifests, and packages each service as a Helm chart with environment-specific values files. Your developers review chart structure during this step so they can own deployments after handover.
Netofficials connects the cluster to your delivery pipeline using ArgoCD for GitOps-driven deployments or integrates with your existing CI tooling. Deployment promotion rules, rollback triggers, and image tag strategies are documented. Your DevOps lead signs off the pipeline before it handles production traffic.
Technology Stack
Helm
ArgoCD
Istio
Prometheus
Grafana
TerraformWho This Service Is For
Your application has outgrown Docker Compose. You need independent service scaling, zero-downtime deployments and environment parity, but your team has no Kubernetes production experience.
Netofficials designs and builds a production-ready cluster on EKS, AKS or GKE, packages your services with Helm, and hands over a repeatable deployment workflow your team can own.
You are running containerised workloads on a managed cloud but lack the internal platform engineering depth to configure autoscaling, RBAC, network policies and observability correctly.
Netofficials fills that gap with cluster architecture, Prometheus and Grafana monitoring, Karpenter or Cluster Autoscaler configuration, and documented runbooks your engineers can follow.
You have a running Kubernetes cluster but deployments are manual, alerting is missing, and there is no GitOps pipeline. Incidents take too long to detect and rollbacks are risky.
Netofficials layers ArgoCD-based GitOps, Alertmanager rules and an Istio service mesh onto your existing cluster so deployments become auditable and incidents surface before users report them.
Industry Applications
Multi-tenant SaaS platforms use strict Kubernetes namespace isolation and Istio mTLS to enforce service-to-service encryption and prevent cross-tenant data exposure.
HIPAA-aligned cluster hardening with pod security standards, audit logging, and RBAC policies that restrict workload access to only the resources each service requires.
Horizontal Pod Autoscaler handles traffic spikes during peak sales periods while rolling deployment strategies keep storefronts and checkout APIs available throughout every release.
High-throughput encoding and delivery workloads run on Karpenter-managed node pools that provision the right instance types on demand and terminate them when load drops.
Multi-environment cluster strategy across dev, staging, and production, with ArgoCD GitOps promotion gates that prevent untested changes from reaching the production cluster.
FAQ
Kubernetes becomes the right choice when you are running multiple services that need independent scaling, automatic restarts, and rolling deployments across more than one host. If your application is a single service with predictable, low traffic, Docker Compose is often sufficient. The factors that tip the decision toward Kubernetes include the number of microservices, the need for fine-grained autoscaling, multi-environment promotion, and uptime requirements that demand self-healing behaviour.
Docker Compose runs containers on a single machine and has no built-in mechanism to schedule workloads across nodes, replace failed containers automatically, or perform rolling updates without downtime. Kubernetes is a full orchestration platform: it schedules pods across a cluster, restarts unhealthy containers, manages load balancing, and supports declarative configuration at scale. Teams typically start with Docker and graduate to Kubernetes when single-host limits become a constraint.
Netofficials applies security in layers. RBAC restricts which users and service accounts can perform which actions on which resources. Namespace isolation separates workloads so a breach in one namespace cannot trivially reach another. Network policies define which pods can communicate, blocking lateral movement by default. Pod security standards prevent privilege escalation. Container images are scanned before deployment. The right configuration depends on your compliance requirements, the number of teams sharing the cluster, and whether workloads handle sensitive data.
All three are managed Kubernetes control planes, but they differ in ecosystem fit and operational detail. EKS integrates tightly with AWS IAM, VPC, and services like RDS and SQS. AKS suits teams already using Microsoft 365, Azure Active Directory, or Azure DevOps. GKE offers the most mature Kubernetes feature set and strong integration with BigQuery and Vertex AI. The best choice depends on where your other infrastructure lives, your team's existing cloud skills, and your data residency requirements.
Helm is a package manager for Kubernetes that bundles manifests into versioned, parameterised charts for repeatable deployments. Instead of maintaining separate YAML files for every environment, a Helm chart accepts values at install time, so the same chart deploys to staging and production with different resource limits or image tags. Charts are versioned, making rollbacks straightforward. Netofficials writes and maintains Helm charts as part of CI/CD pipeline work, and can adopt charts you already own.
Kubernetes provides three autoscaling mechanisms. The Horizontal Pod Autoscaler (HPA) adds or removes pod replicas based on CPU, memory, or custom metrics from Prometheus. The Vertical Pod Autoscaler (VPA) adjusts resource requests for individual pods. Cluster Autoscaler or Karpenter provisions or removes nodes when pod scheduling demand changes. The right configuration depends on your traffic patterns, the latency tolerance of your workloads, minimum availability requirements, and the cost profile of the underlying node types on your chosen cloud.
