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Case Study

Accelerating Kubernetes adoption for fleet management provider


A multinational fleet management provider had recently undergone an initiative to re-platform functionality in their Enterprise Resource Planning (ERP) service. Forming part of a broader digital shift within their business, Arinco was engaged to deliver a solution that could both satisfy a short-term capability requirement and provide a long-term strategic platform. As part of this initiative, Arinco completed a review of the application architecture, advised improvements, completed a design, and deployed a production-ready solution to Microsoft Azure quickly and securely.


Arinco leveraged its Azure Kubernetes Service (AKS) accelerator to assist with moving to modern, DevOps driven methodologies and processes. Key activities included:

  • Designing, planning and implementation of a multi-environment AKS solution
  • Integration of modern security products, such as Azure Key Vault to the deployment process
  • Implementation of both platform and application scaling using AKS cluster auto-scaling and pod auto-scaling
  • Conversion of Docker compose capability to Kubernetes native manifests and Helm Charts
  • Developing infrastructure CI/CD pipelines for the AKS platform
  • Developing application CI/CD pipelines for multiple container-based workloads
  • Creating documentation of both the AKS and application solution, including general operations runbooks
  • Handover sessions, ensuring digital team members had appropriate knowledge in DevOps, Azure and Kubernetes practices

In less than 6 weeks, Arinco had deployed a production-ready AKS environment, hosting a new cloud-native application. Arinco provided the following innovative outcomes:

  • From week one, AKS Clusters were available for customer use, aligned to Microsoft and industry best practices
  • Standardised application deployment and presentation patterns were made available for use by digital and development teams
  • Modern DevOps standards were integrated to the customer environment and development process
  • Automatic deployment to each environment can be completed in less than 15 minutes

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