IEE Sensing

IEE Sensing leverages DevOpsGroup's Kubernetes for seamless production. Explore the transition from Docker Swarm to RKE2 Rancher and the vast benefits.

At a Glance

Challanges

  • Multiple GEO locations
  • GEO synchronised DB
  • Traffic Spikes
  • Scalable to new locations
  • All in 2 months

Benefits

  • Direct Cost : 19 900€
  • Scalable to new regions by variables

Objectives

IEE Company manufactures smart sensors in production halls where downtimes are expensive, production must run smoothly, with communication between individual machines and components without any interruptions.

When the company approached us, they expressed interest in a Docker Swarm on-prem solution. However, we proposed a more suitable option, the RKE2 Rancher Kubernetes on-prem solution.

It allowed the company to manage their containerized applications seamlessly and provided high- availability and scalability to their infrastructure.

Solution

The DevOpsGroup has successfully provided a robust infrastructure to their client, which is running on the Kubernetes RKE2 Rancher on-prem solution with HAproxy and Keepalived load balancing. DevOpsGroup set up an entire infrastructure that includes a registry, GitLab, SonarQube.

The automation with Ansible and CI/CD pipelines have been put in place to ensure smooth operations.

As a result, the entire production of IEE is now running on DevOpsGroup Kubernetes solution across multiple countries such as China, Mexico, Slovakia and Luxembourg.

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kubernetes rke2 rancher,devopsgroup,smart sensors,on-prem solution,case study: iee sensing,Kubernetes for seamless production,IEE Sensing

Juraj Veverka

SOLUTION DESIGN ARCHITECT

Lukas and his colleagues from DevOpsGroup has significantly helped with modernization of IEE Sensing on premise deployments. He and his team not only accelerated transition from bare-bone VMs to self managed k8s clusters, but also contributed with best practice ideas in DevOps area. One tear into infrastructure automation, and we can already see increased reliability, traceability and better deployment quality with new possibilities for integration testing.

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