Enterprise Kubernetes Orchestration Services

Reduce deployment time by 85% and cut TCO
with Managed Kubernetes.

  •  Red Hat
    Advanced Partner
  • Hybrid Cloud
    Experts
  • 24/7 Managed Services
Schedule Discovery Workshop

Kubernetes Maturity Calculator

Calculate your maturity level and get a custom project effort estimation.

1. Current Infrastructure Status

Common Kubernetes Infrastructure Challenges

Slow Deployments

Legacy infrastructure delays releases by days. We implement orchestration to manage container lifecycles and solve pod ephemerality issues instantly.

Infrastructure Complexity

Choosing between self-hosted and managed services creates bottlenecks. We provide Service Abstraction to decouple client connections from volatile backend pods efficiently.

Operational Burden

Manual configuration drains engineering resources. We apply the Operator Pattern to automate complex tasks, reducing operational overhead by 70%.

How Inteca Implements
Enterprise Kubernetes Orchestration

Enterprise Kubernetes Platform

Kubernetes core with enterprise-grade features that solve pod ephemerality through robust service abstraction. Production-ready platform with integrated security, networking, and operational tooling.

Our implementation leverages etcd as the distributed key-value store, ensuring consistent cluster state, while kube-proxy maintains seamless network routing across your infrastructure.

Hybrid & Multi-Cloud

Deploy on-premises, AWS, Azure, or GCP without vendor lock-in. Our architecture uses Container Network Interface (CNI) standards for portability.

Unlike cloud-specific LoadBalancer services that create vendor dependencies, we implement Ingress Controllers for L7 routing that works anywhere.

Red Hat Partnership

Official Red Hat Advanced Business Partner with certified architects implementing production-grade Kubernetes clusters on Red Hat Enterprise Linux and hybrid cloud environments.

We implement  GitOps workflows and the operator pattern to encode operational knowledge into your platform, ensuring consistency and reducing human error.

Proven Kubernetes Expertise

50+

Enterprise Clusters Deployed

85%

Avg. Deployment Time Reduction

99.9%

Uptime SLA

24/7

inteca Support avaliability

Our managed Kubernetes approach reduces total cost of ownership by approximately $200,000 annually compared to self-hosted alternatives—a proven advantage of enterprise orchestration done right.

Complete Kubernetes Lifecycle Management

Readiness Assessment

Feature: Current state analysis and infrastructure audit
Advantage: Identify optimization opportunities and TCO projections
Benefit: Clear roadmap with measurable ROI

Architecture & Design

Feature: Custom Kubernetes architecture with ClusterIP and Ingress networking
Advantage: Hybrid-cloud ready, secure by default with zero-trust security
Benefit: Platform that scales with your business needs

Implementation & Migration

Feature: Zero-downtime deployment leveraging reconciliation loops
Advantage: Automated CI/CD integration with GitOps workflows
Benefit: Accelerate release cycles by 10x

Managed Services

Feature: 24/7 monitoring, patching, and proactive support
Advantage: Automated horizontal scaling and performance optimization
Benefit: Focus on innovation, not infrastructure management

Training & Enablement

Feature: Developer and DevOps team training on Kubernetes, service mesh, and observability
Advantage: Hands-on certification preparation and real-world scenarios
Benefit: Self-sufficient platform management and reduced dependency

Deploy 85% Faster with Managed K8s

Customer Success Stories

Financial Services

Enterprise Kubernetes Platform

Challenge: Legacy monolith with week-long deployment cycles, compliance concerns, and infrastructure scaling limitations.
Solution: Hybrid cloud Kubernetes deployment with service mesh for secure inter-service communication, endpoint slices for efficient traffic routing, and GitOps-driven deployment automation.

Results

  • 85% faster release cycles (weeks to hours)
  • 60% infrastructure cost reduction
  • Zero-downtime migrations across 200+ microservices
  • Achieved PCI-DSS compliance through zero-trust security
Manufacturing

IoT Platform at Scale

Challenge: Managing thousands of edge devices, unpredictable traffic spikes, and real-time data processing requirements.
Solution: Multi-cluster Kubernetes architecture with automated horizontal scaling, Ingress Controllers for intelligent traffic routing, and operator pattern automation for edge node management.

Results

  • Handle 10M+ daily device connections
  • Auto-scale from 50 to 500 pods based on demand
  • Reduced operational overhead by 70%
  • Consistent service discovery across hybrid edge-cloud architecture
Healthcare

HIPAA-Compliant Patient Portal

Challenge: Strict compliance requirements, need for audit trails, and modernization of 15-year-old infrastructure.
Solution: On-premises Kubernetes with service mesh implementing mTLS, declarative automation for consistent configuration, and CoreDNS for secure internal service discovery.

Results

  • HIPAA compliance certification achieved in 4 months
  • Complete audit trail via GitOps workflows
  • 99.95% uptime for critical patient systems
  • 50% faster feature deployment with CI/CD automation

Kubernetes Technology Stack: CNCF Standards and Open Source Components

Our Kubernetes implementations leverage the full CNCF ecosystem with proven open standards:

Control Plane

  • API Server – Central management
  • etcd – Distributed key-value store
  • Scheduler – Workload placement
  • Controller Manager – Reconciliation

Data Plane

  • Kubelet – Node agent
  • Kube-proxy – Network proxy
  • Container Runtime – CRI-O, containerd
  • CNI Plugins – Network abstraction

Networking

  • ClusterIP – Internal services
  • Ingress Controllers – L7 routing (Nginx, Traefik)
  • Service Mesh – Istio, Linkerd
  • CoreDNS – Service discovery

Operations

  • GitOps – ArgoCD, Flux
  • Operators – Lifecycle automation
  • Observability – Prometheus, Grafana
  • Security – Zero-trust, mTLS

Why This Matters: Open standards mean no vendor lock-in. Your architecture remains portable and future-proof, whether deployed on-premises or across multiple clouds.

Your Path to Production Kubernetes

1

Assess (2 weeks) 

Infrastructure audit and readiness evaluation. We analyze your current architecture, identify containerization candidates, and map dependencies.

  • Current state assessment
  • TCO analysis comparing self-hosted vs. managed Kubernetes
  • Roadmap and architecture proposal
2

Design (4 weeks) 

Custom architecture blueprints tailored to your requirements. We design networking with proper service abstraction, implement zero-trust security models, and plan integration touchpoints.

  • Network architecture (ClusterIP, Ingress)
  • Security framework and compliance mapping
  • GitOps workflow design
3

Deploy (8-12 weeks)

Pilot cluster deployment and production rollout. We implement endpoint slices for scalable service routing, configure horizontal scaling policies, and validate reconciliation loops.

  • Pilot environment with representative workloads
  • Production cluster deployment
  • CI/CD pipeline integration
  • Knowledge transfer and trainingl
4

Optimize (Ongoing)

ontinuous performance tuning and feature adoption. We implement advanced patterns like service mesh for observability, traffic shifting for canary deployments, and leverage operators for automation.

  • Performance monitoring and tuning
  • Advanced feature adoption
  • Quarterly optimization reviews
  • 24/7 managed services (optional)

Managed vs. Self-Hosted Kubernetes

Understanding the true cost and complexity of container orchestration:

Factor
Self-Hosted Kubernetes
Inteca Managed Services

Setup Time

6-12 months

8-12 weeks

Expertise Required

3-5 FTE specialists

Included in service

Uptime SLA

Best effort

99.9% guaranteed

Security Patching

Manual, reactive

Automated, proactive

Network Configuration

Complex CNI, Ingress setup

Pre-configured, optimized

Disaster Recovery

Self-managed etcd backups

Automated multi-region

Scaling Automation

Manual operator development

Built-in horizontal scaling

get a MANAGED KUBERNETES quote

Frequently Asked Questions regarding Managed Kubernetes

Inteca’s Managed Kubernetes services reduce deployment time by 85% on average. We achieve this through automated CI/CD pipelines and GitOps workflows.

We guarantee a 99.9% uptime SLA for our managed clusters. This is supported by 24/7 proactive monitoring and automated patching.

Yes, we specialize in hybrid and multi-cloud architectures (AWS, Azure, GCP, On-premise). We use CNI standards to ensure portability without vendor lock-in.

We implement a zero-trust security model with mTLS and service mesh. This approach has helped clients achieve PCI-DSS and HIPAA compliance in as little as 4 months.

Ready to Modernize Your Infrastructure?

Join enterprises already accelerating delivery with managed Kubernetes services.

What to expect from your assessment:

  • Current infrastructure analysis (no obligation)
  • Kubernetes fit evaluation for your use cases
  • Projected ROI calculation & payback period
  • Customized migration roadmap overview

⏱️30-minute video call | Scheduled within 48 hours

Zero sales pressure. Just expert guidance to help you make informed decisions.

Kubernetes Technology Glossary

Kubernetes

Open-source container orchestration system for automating deployment, scaling, and management of containerized applications.

Pod Ephemerality

The inherent instability and non-deterministic nature of Pod IP addresses as containers are created and destroyed dynamically.

Service Abstraction

Logical abstraction that decouples client connections from volatile backend pods, providing stable networking endpoints.

Managed Kubernetes

Cloud-provider or vendor-managed services (like EKS, AKS, GKE) that reduce operational burden and infrastructure management overhead.

GitOps

Operational framework using Git as the single source of truth for infrastructure and application configuration management.

Service Mesh

Infrastructure layer (like Istio or Linkerd) for managing, securing, and observing inter-service communication with features like mTLS.

Kubernetes

Open-source container orchestration system for automating deployment, scaling, and management of containerized applications.

Pod Ephemerality

The inherent instability and non-deterministic nature of Pod IP addresses as containers are created and destroyed dynamically.

Service Abstraction

Logical abstraction that decouples client connections from volatile backend pods, providing stable networking endpoints..