Kubernetes and containerization done for production, not for demos
We design, deploy and support Kubernetes clusters and containerized workloads with a bias for boring, reliable operation.
Kubernetes consulting for production workloads
Kubernetes creates value for products with multiple services, variable load, frequent releases or strict isolation needs. For a smaller application, it can add more operational work than it removes.
Our Kubernetes consulting starts with workload readiness. We compare EKS, GKE, AKS, self-managed Kubernetes and simpler platforms against availability, compliance, cost and ownership. If Kubernetes is not justified, we say so before the client pays for a platform it cannot operate.
Build containers the cluster can trust
We create multi-stage Docker builds, reduce image size and remove unnecessary packages. Containers run as non-root where possible and expose reliable startup, readiness and liveness probes.
Images use a private registry with scanning, signatures, provenance or an SBOM where required. You receive repeatable Dockerfiles and image policies instead of mutable tags and environment-specific builds.
Design for failure, scaling and upgrades
We provision EKS, GKE or AKS through Terraform and Terragrunt, versioning networking, node pools, IAM and add-ons as infrastructure as code. Self-managed clusters include explicit ownership of control-plane availability, etcd backup, certificates and upgrades.
Production can span availability zones and use dedicated node pools, taints, tolerations and Pod Disruption Budgets. Resource requests and limits contain noisy workloads. Horizontal Pod Autoscaler and Cluster Autoscaler match capacity to demand.
Enforce isolation with platform controls
We combine namespaces with scoped service accounts, Kubernetes RBAC, NetworkPolicies and Pod Security Admission. Ingress and TLS use a selected controller and cert-manager where appropriate.
External Secrets connects workloads to cloud secret stores or the client's platform instead of placing credentials in Helm values. You receive a documented access and rotation model.
Make delivery declarative
Workloads use reusable Helm charts or Kustomize overlays. Argo CD or Flux reconciles the desired state from Git and reports drift. Promotion becomes a reviewed change with visible history, wired into your CI/CD pipelines.
Rolling, canary or blue/green delivery uses readiness gates and service-health signals. The team knows which version is running and how to return to a known state.
Operate Kubernetes with evidence
Prometheus, Grafana and VictoriaMetrics show capacity, workload health, ingress and scaling. Loki or VictoriaLogs centralizes logs, while OpenTelemetry connects traces to infrastructure symptoms — part of our monitoring, logging and tracing practice.
Alerts cover unavailable replicas, failed scheduling, crash loops, node pressure, certificate expiry and storage capacity. Backup includes Kubernetes objects and stateful data, with tested restores.
What V3 DevOps delivers
You receive cluster architecture, infrastructure code, hardened Docker builds, Helm or Kustomize packages, GitOps workflows, security policies, autoscaling rules, dashboards, backup procedures and runbooks. We validate the platform through a release, node disruption and recovery scenario.
The result is Kubernetes consulting that leaves your team with a platform it can deploy to, troubleshoot, scale and upgrade — without turning Kubernetes itself into the product.
Docker and containerization
- Multi-stage builds
- Image size and cold start optimization
- Base image hardening
- Registry and signing
Kubernetes cluster setup
- Managed (EKS/GKE/AKS) or self-managed
- Networking, ingress, DNS
- Autoscaling and node pools
- Backup and disaster recovery
Helm and Kustomize
- Reusable Helm charts
- Environment overlays via Kustomize
- GitOps-friendly package layout
Ingress, secrets, config maps, namespaces
- Ingress controllers and TLS
- External secrets and rotation
- Config layering per environment
- Namespace and RBAC model
Related services
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Frequently asked questions
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