Kubernetes & Cloud Infrastructure Engineering
Production-ready Kubernetes clusters, autoscaling, container orchestration, and secure cloud environments (AWS, GCP, Azure) — largely automated, observable, and built for scale. We design, deploy, and operate Kubernetes platforms that significantly reduce 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 significantly reduces these risks and improves reliability across the delivery process.
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 documented, version-controlled, and designed for continuous operation.
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 with more predictable scaling behavior under load through autoscaling policies configured based on defined metrics.
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
- Infrastructure designed to support security, auditability, and compliance requirements.
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 gain deep visibility into cluster behavior and performance in near 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 helps address these issues through automated orchestration, scalable infrastructure, and enterprise-oriented security controls.
Results commonly observed in projects, depending on system complexity, organizational structure, and implementation scope.
Results You Can Expect
Results commonly observed in Kubernetes platform projects, depending on workload characteristics, cluster architecture, and operational maturity.
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
The results shown are based on individual project contexts and client environments. Actual outcomes may vary depending on system complexity, architecture, and organizational setup.
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 designed for continuous operation.
Next Steps
Ready to deploy a production-ready Kubernetes platform?
Disclaimer: All improvements described on this page are based on specific project contexts and technical implementations. Actual results may vary depending on system complexity, architecture, organizational processes, and baseline conditions. H-Studio provides technical implementation services and does not guarantee specific performance metrics or business outcomes.