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Infrastructure Services
Cluster ArchitectureCI/CD PipelinesProduction Operations

Services de Consulting Kubernetes

Kubernetes Production-Grade, Conçu pour la Scalabilité

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.

Où les projets échouent

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.

Conformité

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.

Ce que nous construisons

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.

Notre processus

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

Questions fréquentes

Combien de temps prend un déploiement Kubernetes en production ?

La plupart des engagements prennent 6 à 8 semaines de l'audit au cutover en production. Les setups plus simples avec moins de services peuvent être complétés en 4 semaines. Les architectures multi-cluster ou multi-cloud complexes prennent parfois 10 à 12 semaines. Nous la scoper précisément durant la phase d'architecture, donc aucune surprise de votre côté.

Avons-nous besoin de Kubernetes, ou c'est du surengineering pour notre équipe ?

Si vous exécutez moins de trois services avec un trafic stable, une PaaS gérée comme Vercel ou Railway est probablement le bon choix — plus simple et moins cher. Kubernetes a du sens quand vous avez besoin d'un scaling fine-grained, d'une orchestration multi-service ou de strictes exigences de conformité. Nous vous le dirons clairement durant l'audit si K8s n'est pas réellement le bon fit pour votre situation.

Quel service Kubernetes géré recommandez-vous ?

Nous travaillons avec EKS, GKE et AKS. GKE a la meilleure expérience développeur et le mode autopilot est vraiment bon. EKS s'intègre étroitement avec les services AWS que la plupart des équipes utilisent déjà. AKS est le choix naturel si vous utilisez une stack lourde en Microsoft. Nous recommandons en fonction de votre footprint cloud existant et de ce que votre équipe connaît déjà — pas de ce que nous préférons.

Pouvez-vous gérer notre cluster en continu après l'engagement ?

Oui. Nous proposons des packages d'opérations en rétention couvrant la monitoring, la réponse aux incidents, les upgrades et les ajustements de scaling. La plupart des clients utilisent la période de 30 jours de support incluse pour se familiariser, puis décident s'ils veulent gérer les opérations en interne ou rester sur une rétention mensuelle avec nous.

Comment gérez-vous les migrations sans downtime ?

Nous utilisons des stratégies blue/green ou canary selon votre architecture. Le trafic bascule progressivement via des ajustements de poids du load balancer ou des règles de routing du service mesh. Nous surveillons les taux d'erreur et la latence à chaque étape, et si les seuils sont dépassés, nous revenons automatiquement à la version précédente.

Quel est le coût du consulting Kubernetes ?

Les engagements commencent à $12,000 pour les setups single-cluster avec CI/CD et observability inclus. Les architectures multi-cluster, multi-région avec service mesh et sécurité avancée coûtent typiquement $18,000–$25,000+. Nous proposons des devis à prix fixe après l'audit, donc vous connaissez le montant complet avant de vous engager.

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