Kubernetes Consulting — Tame Container Complexity
Kubernetes promises portability and scale but delivers YAML sprawl, networking nightmares, and 3 AM pager alerts. Opsio's kubernetes consulting services design production-grade clusters on EKS, AKS, or GKE — with GitOps deployments, service mesh networking, and 24/7 SRE operations so your developers ship code, not fight infrastructure.
Trusted by 100+ organisations across 6 countries · 4.9/5 client rating
EKS/AKS/GKE
Certified Ops
99.99%
Cluster Uptime
GitOps
Deployments
24/7
SRE Support
What is Kubernetes Consulting?
Kubernetes consulting covers the design, deployment, security, and ongoing operation of container orchestration platforms — enabling organizations to run microservices at scale across EKS, AKS, or GKE.
Production Kubernetes That Actually Works
Kubernetes is the industry standard for container orchestration, but running production clusters is brutally complex. Node scaling, network policies, ingress controllers, secrets management, RBAC, persistent storage, and upgrade rollouts each introduce failure modes that most teams learn about the hard way — in production, at midnight. Kubernetes consulting from Opsio eliminates that learning curve.
We design and operate clusters on EKS, AKS, and GKE with platform-specific optimizations: Karpenter for EKS node autoscaling, Workload Identity for GKE pod authentication, and Azure AD integration for AKS RBAC. Our Terraform modules provision identical environments from development through production, and ArgoCD GitOps ensures every deployment is version-controlled and auditable.
Networking is where most Kubernetes implementations fail. We implement Istio or Linkerd service mesh for mTLS, traffic management, and observability; Cilium for eBPF-powered network policies; and ingress controllers with cert-manager for automated TLS certificate rotation. The result is zero-trust networking that does not require a PhD to operate.
Observability is non-negotiable for production Kubernetes. We deploy Prometheus and Grafana for metrics, Loki for logs, Tempo for distributed traces, and custom SLO dashboards that show service health at a glance. Alert routing through PagerDuty or OpsGenie ensures the right team is notified — not everyone — when something needs attention.
Security hardening covers the full stack: CIS Kubernetes Benchmarks, Pod Security Standards, OPA Gatekeeper policies, image scanning with Trivy in CI pipelines, runtime protection with Falco, and secrets management with Vault or External Secrets Operator. We enforce security as code so policies cannot be bypassed by well-meaning developers.
Cost optimization on Kubernetes requires understanding both cluster infrastructure and workload efficiency. We right-size node pools, implement Karpenter or Cluster Autoscaler for demand-based scaling, configure resource requests and limits based on actual usage patterns, and use spot instances for fault-tolerant workloads. Clients typically reduce Kubernetes infrastructure costs by 35-50% without impacting reliability.
How We Compare
| Capability | In-House Team | Other Provider | Opsio |
|---|---|---|---|
| Multi-platform support | Single platform | 1-2 platforms | EKS, AKS, GKE certified |
| GitOps maturity | Manual kubectl | Basic CI/CD | ArgoCD/Flux with progressive delivery |
| Service mesh | Not implemented | Basic setup | Istio/Linkerd with mTLS and traffic management |
| Security posture | Default settings | Basic hardening | CIS Benchmarks + Gatekeeper + Falco |
| Observability | Basic logging | Prometheus only | Full stack: metrics, logs, traces, SLOs |
| Cost optimization | Over-provisioned | Basic autoscaling | Karpenter + spot + right-sizing (35-50% savings) |
| Typical annual cost | $300K+ (2-3 K8s engineers) | $120-200K | $60-180K (fully managed) |
What We Deliver
Cluster Design & Provisioning
Production cluster architecture on EKS, AKS, or GKE with Terraform modules covering node pools, networking, RBAC, storage classes, and upgrade strategies. We design for high availability with multi-AZ control planes and worker nodes across failure domains.
GitOps & CI/CD for Kubernetes
ArgoCD or Flux-based GitOps workflows where every deployment is a Git commit. We build Helm charts or Kustomize overlays, configure progressive delivery with Argo Rollouts, and integrate with GitHub Actions or GitLab CI for automated container builds and vulnerability scanning.
Service Mesh & Networking
Istio or Linkerd service mesh for mTLS encryption, traffic splitting, canary deployments, and observability. Cilium for eBPF network policies providing microsegmentation without sidecar overhead. Ingress controllers with cert-manager for automated TLS certificate management.
Observability & SRE
Full observability stack with Prometheus for metrics, Grafana for dashboards, Loki for logs, and Tempo for distributed tracing. Custom SLO dashboards track service reliability. Alert routing through PagerDuty ensures the right team responds to the right incidents.
Security & Compliance
CIS Kubernetes Benchmark enforcement, Pod Security Standards, OPA Gatekeeper policy engine, Trivy image scanning in CI, Falco runtime threat detection, and Vault integration for secrets management. Security policies are codified and enforced automatically across all clusters.
Cost Optimization & Autoscaling
Karpenter or Cluster Autoscaler for demand-based node scaling, spot instance integration for fault-tolerant workloads, resource request and limit tuning based on actual usage, and Kubecost for per-namespace cost allocation. We typically reduce K8s infrastructure costs by 35-50%.
Ready to get started?
Get Your Free K8s AssessmentWhat You Get
“Opsio's focus on security in the architecture setup is crucial for us. By blending innovation, agility, and a stable managed cloud service, they provided us with the foundation we needed to further develop our business. We are grateful for our IT partner, Opsio.”
Jenny Boman
CIO, Opus Bilprovning
Investment Overview
Transparent pricing. No hidden fees. Scope-based quotes.
K8s Assessment & Design
$10,000–$25,000
1-3 week engagement
Cluster Build & Migration
$30,000–$80,000
Most popular — full implementation
Managed K8s Operations
$5,000–$15,000/mo
Ongoing 24/7 SRE
Pricing varies based on scope, complexity, and environment size. Contact us for a tailored quote.
Questions about pricing? Let's discuss your specific requirements.
Get a Custom QuoteWhy Choose Opsio
Multi-platform Kubernetes experts
EKS, AKS, and GKE certified operations with platform-specific optimizations.
GitOps-first deployments
ArgoCD and Flux workflows making every deployment auditable and reversible.
Service mesh specialists
Istio and Linkerd implementation for zero-trust networking and traffic management.
24/7 SRE operations
Round-the-clock cluster monitoring, incident response, and upgrade management.
Security as code
OPA Gatekeeper, Falco, and Trivy enforcing security policies automatically.
35-50% cost reduction
Karpenter, spot instances, and right-sizing delivering measurable infrastructure savings.
Not sure yet? Start with a pilot.
Begin with a focused 2-week assessment. See real results before committing to a full engagement. If you proceed, the pilot cost is credited toward your project.
Our Delivery Process
K8s Assessment
Evaluate current container workloads, cluster architecture, deployment practices, and operational maturity. Deliverable: Kubernetes maturity scorecard and roadmap. Timeline: 1-2 weeks.
Architecture & Design
Design cluster topology, networking, GitOps workflows, observability stack, and security baseline. Select platform (EKS/AKS/GKE) based on your cloud environment. Timeline: 2-3 weeks.
Build & Migrate
Provision clusters with Terraform, deploy GitOps tooling, configure service mesh and observability, and migrate first workloads with zero-downtime cutover. Timeline: 4-8 weeks.
Operate & Scale
24/7 SRE operations with cluster upgrades, security patching, cost optimization, capacity planning, and quarterly architecture reviews. Timeline: Ongoing.
Key Takeaways
- Cluster Design & Provisioning
- GitOps & CI/CD for Kubernetes
- Service Mesh & Networking
- Observability & SRE
- Security & Compliance
Industries We Serve
SaaS & Technology
Multi-tenant application platforms with auto-scaling and progressive delivery.
Financial Services
Isolated namespaces with strict RBAC, encryption, and audit logging.
E-commerce & Retail
Traffic-burst handling with Karpenter and global load balancing.
Healthcare & Pharma
HIPAA-compliant clusters with encryption, network policies, and access controls.
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Kubernetes Consulting — Tame Container Complexity FAQ
What is Kubernetes consulting and when do I need it?
Kubernetes consulting helps organizations design, deploy, and operate container orchestration platforms. You need it when your team is struggling with cluster reliability, deployment complexity, networking issues, or cost overruns. Opsio's Kubernetes consulting covers the full lifecycle from initial assessment and architecture design through implementation, migration, and ongoing 24/7 operations. Common engagement triggers include failed self-managed deployments, escalating infrastructure costs, slow release cycles due to manual deployment processes, and difficulty scaling applications to meet demand. Our certified Kubernetes engineers bring production experience across hundreds of clusters to accelerate your platform maturity and avoid common pitfalls.
Which Kubernetes platform should I choose — EKS, AKS, or GKE?
EKS is best for AWS-native organizations with strong Karpenter autoscaling and broad AWS service integration. AKS integrates deeply with Azure AD, DevOps, and the Microsoft ecosystem. GKE offers the most mature Kubernetes experience with Autopilot mode and Google's SRE tooling. We recommend based on your primary cloud provider, team expertise, and specific workload requirements. For example, if your team already uses Azure Active Directory for identity management, AKS provides seamless RBAC integration. If you need advanced autoscaling with mixed instance types and spot capacity, EKS with Karpenter excels. Opsio deploys and manages all three platforms with consistent operational standards.
How much does Kubernetes consulting cost?
A Kubernetes assessment and architecture design runs $10,000-$25,000. Cluster implementation with GitOps, observability, and workload migration ranges from $30,000-$80,000. Managed Kubernetes operations cost $5,000-$15,000 per month for 24/7 SRE support. Most clients see ROI within 3-6 months through reduced downtime, faster deployments, and 35-50% infrastructure cost savings. For example, a company running 50 microservices typically spends $60,000 on implementation and $10,000 monthly for managed operations, but saves $8,000-$15,000 monthly through better resource utilization, spot instance adoption, and autoscaling. The net result is improved reliability at a lower total cost of ownership.
How does GitOps work for Kubernetes deployments?
GitOps uses Git repositories as the single source of truth for cluster configuration and application deployments. ArgoCD or Flux continuously reconcile the desired state in Git with the actual cluster state, automatically applying changes when commits are pushed. This makes every deployment auditable, reversible, and reproducible — eliminating manual kubectl commands and configuration drift. For example, deploying a new application version means updating an image tag in a Git manifest. ArgoCD detects the change, validates it against policies, and applies it to the cluster automatically.
What is a Kubernetes service mesh and do I need one?
A service mesh like Istio or Linkerd provides mTLS encryption between services, traffic management for canary deployments, and detailed observability into service-to-service communication. You need one when running more than 10-15 microservices, when zero-trust networking is required, or when you need fine-grained traffic control for progressive delivery strategies. Istio offers the most features including rate limiting, circuit breaking, and fault injection for chaos engineering. Linkerd is lighter weight with lower resource overhead and simpler operations. We evaluate your specific requirements around security policy enforcement, traffic management needs, and operational complexity tolerance before recommending the right mesh solution.
How does Opsio handle Kubernetes security?
We implement defense-in-depth: CIS Kubernetes Benchmarks for cluster hardening, Pod Security Standards for workload isolation, OPA Gatekeeper for policy enforcement, Trivy for container image scanning in CI pipelines, Falco for runtime threat detection, and Vault for secrets management. All policies are codified as code and enforced automatically across clusters. For example, Gatekeeper policies can prevent privileged containers, enforce resource limits, and require specific labels on every deployment. Falco monitors runtime behavior and alerts on suspicious activity like unexpected shell access or network connections. This layered approach ensures security at build time, deploy time, and runtime.
Can Opsio migrate our existing applications to Kubernetes?
Yes. We assess application readiness, containerize workloads using Docker best practices, build Helm charts or Kustomize manifests, and execute zero-downtime migrations with traffic shifting. For stateful applications, we configure persistent volumes with appropriate storage classes. Our migration approach is incremental — we move services one at a time to minimize risk. Each service goes through containerization, testing in a staging cluster, performance benchmarking against the original deployment, and finally production cutover with traffic shifting. This methodical process typically takes 1-2 weeks per service and ensures your team gains confidence with Kubernetes operations before migrating critical workloads.
How does Opsio reduce Kubernetes costs?
We combine multiple strategies: Karpenter or Cluster Autoscaler for demand-based node scaling, spot instances for fault-tolerant workloads, resource request and limit tuning based on actual usage metrics, namespace-level cost allocation with Kubecost, and right-sizing node pools to eliminate over-provisioning. The net result is 35-50% infrastructure cost reduction. For example, most teams set resource requests too high because they lack usage visibility. We analyze actual CPU and memory consumption over two weeks, then right-size requests to match real usage patterns. Combined with Karpenter's ability to select the most cost-effective instance types dynamically, these optimizations significantly reduce your monthly compute spend.
What Kubernetes monitoring does Opsio provide?
We deploy Prometheus for metrics collection, Grafana for dashboards, Loki for log aggregation, and Tempo for distributed tracing. Custom SLO dashboards track service reliability against defined targets. Alert routing through PagerDuty ensures the right team responds to incidents. Our SRE team monitors clusters 24/7 and handles escalations proactively. For example, we create golden signal dashboards tracking latency, traffic, errors, and saturation for every service. When error rates exceed defined SLO burn rates, alerts fire with runbook links for rapid diagnosis. We also monitor cluster-level health including node capacity, pod scheduling pressure, and persistent volume utilization to prevent infrastructure bottlenecks.
How often should Kubernetes clusters be upgraded?
We recommend staying within one minor version of the latest release to maintain security patches and feature access. Kubernetes releases new minor versions every 4 months with 14 months of patch support. Opsio manages upgrades with rolling update strategies, pre-upgrade compatibility testing, and rollback procedures — minimizing downtime and risk during version transitions. Before each upgrade, we test all workloads against the new version in a staging cluster, verify API deprecations do not affect your manifests, and validate addon compatibility for tools like Istio and ArgoCD. The actual upgrade uses node-by-node rolling replacement to maintain application availability throughout the process.
Still have questions? Our team is ready to help.
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Kubernetes should accelerate your team, not slow it down. Get a free K8s assessment and a roadmap to production-grade clusters.
Kubernetes Consulting — Tame Container Complexity
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