Kubernetes & Cloud Platform Engineering
Production-ready Kubernetes clusters, autoscaling, container orchestration, and secure cloud environments (AWS, GCP, Azure) — fully automated, observable, and built for scale.
We design, deploy, and operate Kubernetes platforms that eliminate manual operations, improve reliability, and support modern, container-based applications across your engineering teams.
Common Problems We Solve
- Unstable deployments & broken environments → replaced with standardized, reproducible Kubernetes clusters
- High operational load on engineers → replaced with automated orchestration & autoscaling
- Security risks and no RBAC structure → replaced with enterprise-grade access & governance
- Lack of visibility into system health → replaced with full observability stack
- Inconsistent cloud configurations → replaced with IaC-driven environments
Automation eliminates these risks completely.
What We Build
Production-Ready Kubernetes Clusters
We create secure, scalable Kubernetes platforms with:
- Managed cloud clusters (EKS, GKE, AKS) or self-managed setups
- High-availability control planes
- Autoscaling for workloads and nodes
- Network policies, ingress controllers, internal/external traffic routing
- Storage, backups, and disaster-recovery policies
- Everything is fully documented, version-controlled, and built to run 24/7.
Container Orchestration & Workload Automation
We help your engineering teams move from manual deployments to automated orchestration:
- Helm / Kustomize deployments
- Sidecar patterns, jobs, cronjobs
- Horizontal & vertical autoscaling
- Pod disruption budgets, rollout strategies
- Resource quotas & limits
- Your workloads run predictably and scale automatically based on real usage.
Cloud Infrastructure for Modern Applications
We configure cloud environments optimized for Kubernetes:
- VPC networking & routing
- Load balancers & ingress gateways
- Secrets & configuration management
- Identity & access control
- Logging, tracing & metrics pipelines
- Secure registries and container scanning
- Cloud infrastructure becomes a stable foundation for your entire platform.
Service Mesh & Advanced Networking
For teams with complex architectures:
- Istio / Linkerd service mesh
- Mutual TLS, zero-trust authentication
- Traffic splitting, canary deploys, blue-green releases
- Observability across distributed systems
- We reduce complexity and increase reliability without slowing down development.
Security, Compliance & Governance
Kubernetes environments must be secure by design. We cover all key requirements:
- Role-based access control (RBAC)
- Network policies & isolation
- Secrets encryption & vault integrations
- Admission controllers (OPA / Kyverno)
- CIS-compliant cluster configuration
- Image signing & vulnerability scanning
- Audit logs across cluster actions
- Your infrastructure becomes compliant, auditable, and secure at every level.
Monitoring, Observability & Reliability
We integrate full observability into your platform:
- Prometheus metrics & Grafana dashboards
- Loki logs, Tempo tracing
- Alerts based on SLO/SLI (not noise)
- Health checks & uptime probes
- Golden signals & performance heatmaps
- You see exactly what happens in your cluster — in real time.
How It Works
- 1We analyze your current infrastructure, identify bottlenecks, and design the optimal Kubernetes architecture
- 2We deploy production-ready clusters with high availability, autoscaling, and security built-in
- 3We configure container orchestration, workload automation, and resource management
- 4We set up cloud infrastructure, networking, and service mesh for complex architectures
- 5We implement security, compliance, and governance policies across all cluster components
- 6We integrate monitoring, observability, and alerting for full visibility into system health
Kubernetes eliminates these issues with automated orchestration, scalable infrastructure, and enterprise-grade security.
Results You Can Expect
Who This Is For
Microservices teams
Running container-based architectures
High-load applications
Needing predictable releases and scaling
Enterprise clients
Migrating from VM-based infrastructure or modernizing legacy systems
Why Choose H-Studio for Kubernetes
Frequently Asked Questions
How long does it take to build a Kubernetes cluster?
Production-ready Kubernetes clusters with full configuration, security, and observability typically take 2–4 weeks. Simple setups can be faster, while enterprise-grade clusters with service mesh, multi-region deployment, and compliance requirements need 3–6 weeks.
Which cloud providers are supported?
We work with all major cloud providers: AWS (EKS), Google Cloud (GKE), Azure (AKS), as well as self-managed Kubernetes setups. Our architecture is cloud-agnostic and can be deployed on any provider or on-premises.
What's included in a production-ready Kubernetes setup?
A complete setup includes: high-availability control planes, autoscaling, network policies, RBAC, secrets management, monitoring (Prometheus/Grafana), logging (Loki), tracing (Tempo), service mesh (optional), backup strategies, and disaster recovery. Everything is documented, version-controlled, and built for 24/7 operation.
Next Steps
Ready to deploy a production-ready Kubernetes platform?