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Infrastructure Services
Cluster ArchitectureCI/CD PipelinesProduction Operations

Kubernetes Consulting Services

Production-Grade Kubernetes, Built to Scale

99.99%
Uptime Target
Multi-AZ deployments
< 5min
Deployment Cycles
GitOps pipelines
60%
Cost Reduction
Right-sized clusters
0
Unplanned Outages
Post-engagement average
What Is Kubernetes Consulting?

Kubernetes consulting is a specialized infrastructure service where engineers design, deploy, and operationalize Kubernetes clusters for production workloads. It covers cluster architecture, networking, security hardening, CI/CD pipeline integration, observability, and ongoing operations — so your containerized applications run reliably at scale without dumping infrastructure complexity on your development team.

Wo Projekte scheitern

Clusters built by hand with no Infrastructure as Code Config drift makes environments impossible to reproduce, and when you actually need disaster recovery, it fails.
Deployments need SSH access and manual kubectl commands Human error takes down production, and nobody can tell you what changed or when it happened.
No resource limits, requests, or autoscaling policies anywhere One runaway pod starves the node and everything else on it goes down with it.
Monitoring means running kubectl get pods and waiting for someone to ping you on Slack Your customers find the problems before your team does — and that erodes trust every single time.
Secrets sitting in plain-text ConfigMaps or baked directly into images One compromised container and your database credentials and API keys are out in the open.
Cloud bill climbing 20% month-over-month and nobody knows why Over-provisioned nodes and idle workloads are burning budget that should be going toward actual product work.

Compliance

Cluster Architecture

Multi-AZ, multi-node-pool cluster design with proper network segmentation. We set up node affinity, taints, tolerations, and pod disruption budgets from day one — not as an afterthought.

GitOps CI/CD

ArgoCD or Flux-based pipelines where Git is the single source of truth. Every change gets reviewed, versioned, and automatically reconciled back to what's declared.

Observability Stack

Prometheus, Grafana, and structured logging with alerting rules tied to your actual SLOs. You see what matters without getting buried in noise.

Security Hardening

Pod security standards, network policies, RBAC scoping, and sealed secrets. Defense-in-depth means one breach doesn't spiral into something catastrophic.

Cost Optimization

Right-sized resource requests, cluster autoscaler tuning, and spot/preemptible node strategies. We cut your compute bill without sacrificing reliability.

Runbooks & Knowledge Transfer

Documented runbooks and hands-on training for your team. You'll own the cluster confidently after we hand it off — that's the whole point.

Was wir bauen

Terraform-Managed Infrastructure

Every cluster resource defined in code, versioned in Git, and deployable to any environment in minutes.

Helm Chart Library

Standardized, parameterized Helm charts for your services with environment-specific value overlays.

Service Mesh Integration

Istio or Linkerd for mutual TLS, traffic management, canary deployments, and granular observability.

Horizontal & Vertical Autoscaling

HPA, VPA, and cluster autoscaler configured around your actual traffic patterns and cost constraints.

Disaster Recovery Planning

Velero backups, cross-region failover strategies, and recovery procedures that are actually tested — with documented RTOs you can stand behind.

Multi-Cluster Federation

When one cluster isn't enough — federated deployments across regions or cloud providers for real resilience.

Unser Prozess

01

Infrastructure Audit

We look at your current setup: existing containers, CI/CD, cloud accounts, and how your team actually operates. You get a findings report with prioritized recommendations, not a generic checklist.
Week 1
02

Architecture Design

Cluster topology, networking, security boundaries, and deployment strategy all go into an architecture decision record. We review it together before anyone writes a line of code.
Week 2
03

Cluster Build & Pipeline Setup

Terraform modules, Helm charts, ArgoCD config, and the observability stack all get deployed to staging. Your first service runs on the new cluster.
Weeks 3–5
04

Production Migration

Traffic cutover using blue/green or canary — whichever fits your architecture. We watch closely and tune autoscaling under real load before calling it done.
Weeks 6–7
05

Handoff & Support

Runbook delivery, team training, and 30 days of on-call support. We stay available until your team doesn't need us anymore.
Week 8+
KubernetesHelmArgoCDTerraformPrometheusGrafanaIstioDocker

Häufige Fragen

Wie lange dauert eine Kubernetes-Produktionsbereitstellung?

Die meisten Engagements laufen 6–8 Wochen von der Prüfung bis zur Produktivschaltung. Einfachere Setups mit weniger Services können in 4 Wochen abgeschlossen sein. Komplexe Multi-Cluster- oder Multi-Cloud-Architekturen dauern manchmal 10–12 Wochen. Wir definieren es genau in der Architekturphase, damit es auf Ihrer Seite keine Überraschungen gibt.

Brauchen wir Kubernetes, oder ist es Overkill für unser Team?

Wenn Sie weniger als drei Services mit stabilem Traffic betreiben, ist ein verwalteter PaaS wie Vercel oder Railway wahrscheinlich die richtige Wahl – einfacher und günstiger. Kubernetes macht Sinn, wenn Sie feinkörnige Skalierung, Multi-Service-Orchestrierung oder strenge Compliance-Anforderungen benötigen. Wir werden Ihnen während der Prüfung offen sagen, wenn K8s nicht wirklich die richtige Wahl für Ihren aktuellen Stand ist.

Welchen verwalteten Kubernetes-Service empfehlen Sie?

Wir arbeiten mit EKS, GKE und AKS. GKE hat das beste Developer Experience und Autopilot-Modus ist wirklich gut. EKS integriert sich eng mit den AWS-Services, die die meisten Teams bereits nutzen. AKS ist die natürliche Wahl, wenn Sie einen Microsoft-lastigen Stack betreiben. Wir empfehlen basierend auf Ihrer bestehenden Cloud-Infrastruktur und dem, was Ihr Team bereits kennt – nicht auf unseren Vorlieben.

Können Sie unseren Cluster nach dem Engagement weiterhin verwalten?

Ja. Wir bieten Retained-Operations-Pakete an, die Monitoring, Incident Response, Updates und Skalierungsanpassungen abdecken. Die meisten Kunden nutzen den enthaltenen 30-Tage-Support, um sich zurechtzufinden, und entscheiden dann, ob sie die Operationen intern übernehmen oder bei uns auf einem monatlichen Retainer bleiben.

Wie handhaben Sie Migrationen ohne Ausfallzeit?

Wir verwenden Blue/Green- oder Canary-Strategien je nach Ihrer Architektur. Der Traffic wird schrittweise durch Anpassungen des Load-Balancer-Gewichts oder Service-Mesh-Routing-Regeln verschoben. Wir überwachen Fehlerraten und Latenz bei jedem Schritt, und wenn Schwellwerte überschritten werden, führen wir automatisch einen Rollback durch.

Was kostet Kubernetes-Consulting?

Engagements beginnen bei $12.000 für Single-Cluster-Setups mit CI/CD und Observability inklusive. Multi-Cluster-, Multi-Region-Architekturen mit Service Mesh und fortgeschrittener Sicherheit kosten normalerweise $18.000–$25.000+. Wir erstellen Festpreisangebote nach der Prüfung, damit Sie die vollständige Summe kennen, bevor Sie sich auf etwas festlegen.

Kubernetes Consulting from $12,000
Fixed-fee. 30-day post-launch support included.
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