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CASE STUDY

Hybrid Kubernetes Infrastructure for a Global Enterprise Integration Platform

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Summary

A publicly traded global software company required a hybrid Kubernetes infrastructure to support the deployment of their flagship integration platform. This deployment was both on-premises through Windows and Linux and across AWS and Azure environments. Arystech delivered the container orchestration architecture, including cluster provisioning, high-availability services, CI/CD automation, and observability. The engagement resulted in benefits including:

  • 65% faster deployment cycles
  • 99.95% measured uptime
  • 30% reduction in infrastructure costs.

Challenges

The client operates a widely adopted integration platform that enables enterprises to connect business systems through cloud, on-premises, and hybrid environments using a code-free, low-maintenance approach. The platform serves thousands of customers in over 50 countries.

As customer adoption grew, so did the diversity of deployment environments. The client's end customers required the platform to run on Windows, Linux, private data centers, and public cloud (AWS and Azure) —often simultaneously. The existing deployment model lacked the consistency, automation, and resilience required to support this demand at scale.

Specifically, the client needed:

  • A Kubernetes-based deployment architecture supporting both Windows and Linux
  • Single-node and multi-node cluster configurations with minimal manual intervention
  • High availability across all critical services, including caching, database, and traffic management layers
  • Seamless operation across on-premises, AWS, and Azure environments
  • Automated CI/CD pipelines to replace manual deployment processes
  • Unified monitoring and observability across all clusters and environments

The Arystech Solution

Arystech built a hybrid container orchestration architecture that provided the client full control over critical services in on-premises environments while leveraging managed Kubernetes services for cloud workloads.

The architecture uses MicroK8s for self-managed Kubernetes clusters on Windows and Linux, chosen for its single-binary installation, minimal resource overhead, and production-grade feature set without the operational complexity of kubeadm-based clusters. Amazon EKS and Azure AKS handle cloud workloads, offloading control plane management and providing native integration with each provider's IAM, networking, and storage services. This allows customers on the client's end to run the platform in their preferred environment without requiring environment-specific application changes.

Core infrastructure services, including Redis Sentinel, MongoDB Replica Sets, and HAProxy, are deployed consistently across all environments, ensuring uniform application behavior whether running on-premises or in the cloud.

Technical Architecture

On-Premises Clusters (MicroK8s)

  • Single-node Kubernetes clusters on Windows and Linux for development, testing, and smaller customer deployments
  • Multi-node Linux clusters with Redis Sentinel, MongoDB Replica Sets, and HAProxy for production workloads requiring high availability
  • Helm charts and automation scripts for consistent, repeatable provisioning, enabling new customer environments to be stood up in minutes
  • MetalLB for bare-metal load balancing in environments without cloud-native load balancer support

Cloud Clusters (Amazon EKS and Azure AKS)

  • Managed Kubernetes clusters with native autoscaling and integrated high-availability features
  • Consistent application deployment across cloud and on-premises using shared Helm charts and container images
  • Hybrid connectivity enabling workloads to interact between on-premises and cloud-hosted services

High Availability and Data Layer

  • Each stateful service was paired with its own failover mechanism to avoid single points of failure at the data layer:
  • Redis Sentinel for automated failover and monitoring of Redis primary nodes
  • MongoDB Replica Sets for database redundancy and fault tolerance
  • HAProxy for load balancing and automated failover across cluster nodes with minimal client disruption

Technologies Used

  • Kubernetes Orchestration: MicroK8s, Amazon EKS, Azure AKS
  • CI/CD & Automation: Helm, Jenkins, GitHub Actions, Azure Container Registry
  • Data & Middleware: Redis Sentinel, MongoDB Replica Set, HAProxy
  • Observability: Prometheus, Grafana
  • Performance Testing: JMeter

Implementation Highlights

CI/CD Automation

  • Automated build, test, deploy, and rollback pipelines using Jenkins and GitHub Actions
  • JMeter-based load testing integrated directly into the deployment pipeline to validate performance on every release
  • Azure Container Registry for centralized image management

Observability

  • Prometheus for metrics collection across all Kubernetes clusters
  • Grafana dashboards for real-time visibility into service health, database replication status, traffic distribution, and resource utilization
  • Alerting rules configured for key indicators including node health, pod restarts, replication lag, and resource saturation

Benefits

  • Deployment time reduced by approximately 65% through automated CI/CD pipelines, reducing operational overhead and enabling more frequent releases
  • 99.95% measured uptime achieved across production clusters, supported by Redis Sentinel, MongoDB Replica Sets, and HAProxy failover mechanisms
  • Infrastructure costs reduced by approximately 30% through strategic use of self-managed MicroK8s for on-premises workloads and managed EKS/AKS for cloud workloads
  • Consistent, platform-agnostic deployment achieved across Windows, Linux, AWS, and Azure environments

About Arystech

Arystech is an enterprise cloud consulting firm specializing in Kubernetes orchestration, DevOps automation, and cloud-native infrastructure. With over twenty years of technology consulting experience and hands-on delivery across AWS and Azure, we help organizations design and implement container platforms, CI/CD pipelines, and hybrid cloud architectures. Our engagements are led by senior engineers who work as embedded extensions of our clients' teams.

If your organization is evaluating Kubernetes for hybrid or multi-cloud deployment, we can help you design an architecture that meets your operational and compliance requirements. Reach out to discuss your requirements.

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Industry

Enterprise Software & Integration (iPaaS)

Location

Global

The Challenge

Designing a containerized deployment architecture for a flagship integration platform across multiple environments

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